diff --git "a/awesome-japanese-nlp-resources-search.json" "b/awesome-japanese-nlp-resources-search.json" --- "a/awesome-japanese-nlp-resources-search.json" +++ "b/awesome-japanese-nlp-resources-search.json" @@ -3,14 +3,15 @@ "description": "Fine-tuned XLSR-53 large model for speech recognition in Japanese Fine-tuned facebook/wav2vec2-large-xlsr-53 on Japanese using the train and validation splits of Common Voice 6.1, CSS10 and JSUT.", "url": "https://huggingface.co./jonatasgrosman/wav2vec2-large-xlsr-53-japanese", "project_name": "wav2vec2-large-xlsr-53-japanese", - "downloads": 1131380, + "downloads": 1030012, "source": "Hugging Face", - "score": 16.918666105995705, + "score": 16.068440033848738, "first_commit": "2021-04-16 00:20:03", "latest_commit": "2022-12-14 01:58:09", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "Wav2Vec2ForCTC" }, { "description": "Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022", @@ -18,7 +19,7 @@ "project_name": "donut", "stargazers_count": 5553, "source": "GitHub", - "score": 15.893071179885453, + "score": 15.941514700048343, "first_commit": "2022-07-20 23:15:30", "latest_commit": "2023-07-31 15:14:20", "languages": [ @@ -26,31 +27,33 @@ ], "model_or_dataset": null }, - { - "description": "BERT base Japanese (IPA dictionary)", - "url": "https://huggingface.co./tohoku-nlp/bert-base-japanese", - "project_name": "bert-base-japanese", - "downloads": 1018203, - "source": "Hugging Face", - "score": 15.215379203281817, - "first_commit": "2020-04-28 21:34:23", - "latest_commit": "2024-02-22 00:57:00", - "languages": [], - "model_or_dataset": "model", - "model_size": null - }, { "description": "xlm-roberta-ner-japanese (Japanese caption : 日本語の固有表現抽出のモデル)", "url": "https://huggingface.co./tsmatz/xlm-roberta-ner-japanese", "project_name": "xlm-roberta-ner-japanese", - "downloads": 1008895, + "downloads": 985676, "source": "Hugging Face", - "score": 15.075296019503655, + "score": 15.371861323453928, "first_commit": "2022-10-24 02:08:37", "latest_commit": "2024-07-12 00:01:56", "languages": [], "model_or_dataset": "model", - "model_size": 0.277 + "model_size": 0.277, + "model_architectures": "RobertaForTokenClassification" + }, + { + "description": "BERT base Japanese (IPA dictionary)", + "url": "https://huggingface.co./tohoku-nlp/bert-base-japanese", + "project_name": "bert-base-japanese", + "downloads": 918614, + "source": "Hugging Face", + "score": 14.31822632082634, + "first_commit": "2020-04-28 21:34:23", + "latest_commit": "2024-02-22 00:57:00", + "languages": [], + "model_or_dataset": "model", + "model_size": null, + "model_architectures": "BertForMaskedLM" }, { "description": "Neologism dictionary based on the language resources on the Web for mecab-ipadic", @@ -58,7 +61,7 @@ "project_name": "mecab-ipadic-neologd", "stargazers_count": 2695, "source": "GitHub", - "score": 7.539021437395139, + "score": 7.563167628043869, "first_commit": "2015-03-09 16:46:28", "latest_commit": "2020-09-14 19:56:40", "languages": [ @@ -72,7 +75,7 @@ "project_name": "voicevox", "stargazers_count": 2411, "source": "GitHub", - "score": 6.708877936042008, + "score": 6.7306096964660975, "first_commit": "2021-08-01 02:41:10", "latest_commit": "2024-08-16 01:45:33", "languages": [ @@ -87,7 +90,7 @@ "project_name": "mozc", "stargazers_count": 2333, "source": "GitHub", - "score": 6.480880777219669, + "score": 6.50194941948347, "first_commit": "2010-05-10 12:05:41", "latest_commit": "2024-08-15 07:37:57", "languages": [ @@ -99,14 +102,15 @@ "description": "BERT base Japanese (IPA dictionary, whole word masking enabled)", "url": "https://huggingface.co./tohoku-nlp/bert-base-japanese-whole-word-masking", "project_name": "bert-base-japanese-whole-word-masking", - "downloads": 365185, + "downloads": 365036, "source": "Hugging Face", - "score": 5.387613785958347, + "score": 5.620764904755031, "first_commit": "2020-04-28 21:34:35", "latest_commit": "2024-02-22 00:57:37", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "BertForMaskedLM" }, { "description": "Engineer Vocabulary List in Japanese/English", @@ -114,7 +118,7 @@ "project_name": "engineer-vocabulary-list", "stargazers_count": 1766, "source": "GitHub", - "score": 4.82351681501113, + "score": 4.839765098340524, "first_commit": "2020-09-30 14:16:14", "latest_commit": "2020-11-04 08:32:10", "languages": [], @@ -126,7 +130,7 @@ "project_name": "manga-ocr", "stargazers_count": 1517, "source": "GitHub", - "score": 4.095679731078279, + "score": 4.109811137203676, "first_commit": "2022-01-15 18:18:35", "latest_commit": "2024-06-29 11:23:04", "languages": [ @@ -140,7 +144,7 @@ "project_name": "N46Whisper", "stargazers_count": 1515, "source": "GitHub", - "score": 4.089833650082834, + "score": 4.103948053178479, "first_commit": "2022-10-25 16:27:20", "latest_commit": "2024-06-30 15:22:02", "languages": [ @@ -153,14 +157,29 @@ "description": "GLuCoSE (General Luke-based Contrastive Sentence Embedding)-base-Japanese 日本語のREADME/Japanese README GLuCoSE (General LUke-based COntrastive Sentence Embedding, \"glucose\") is a Japanese text embedding model based on LUKE.", "url": "https://huggingface.co./pkshatech/GLuCoSE-base-ja", "project_name": "GLuCoSE-base-ja", - "downloads": 270921, + "downloads": 261805, "source": "Hugging Face", - "score": 3.9689630300854932, + "score": 3.9988658418543066, "first_commit": "2023-07-16 07:28:46", "latest_commit": "2023-08-25 02:53:22", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "LukeModel" + }, + { + "description": "Manga OCR Optical character recognition for Japanese text, with the main focus being Japanese manga.", + "url": "https://huggingface.co./kha-white/manga-ocr-base", + "project_name": "manga-ocr-base", + "downloads": 256277, + "source": "Hugging Face", + "score": 3.9120134620486744, + "first_commit": "2022-01-15 17:39:06", + "latest_commit": "2022-06-22 15:34:05", + "languages": [], + "model_or_dataset": "model", + "model_size": null, + "model_architectures": "VisionEncoderDecoderModel" }, { "description": "無料で使える中品質なテキスト読み上げソフトウェア、VOICEVOXの音声合成エンジン", @@ -168,7 +187,7 @@ "project_name": "voicevox_engine", "stargazers_count": 1257, "source": "GitHub", - "score": 3.335689201670483, + "score": 3.3476102139282506, "first_commit": "2021-08-02 02:39:41", "latest_commit": "2024-08-15 01:08:26", "languages": [ @@ -182,7 +201,7 @@ "project_name": "ojichat", "stargazers_count": 1249, "source": "GitHub", - "score": 3.3123048776887045, + "score": 3.3241578778274685, "first_commit": "2019-05-25 03:44:08", "latest_commit": "2023-04-23 16:02:15", "languages": [ @@ -196,7 +215,7 @@ "project_name": "yomichan", "stargazers_count": 1044, "source": "GitHub", - "score": 2.7130815756556346, + "score": 2.723191765244922, "first_commit": "2016-03-16 20:33:15", "latest_commit": "2023-02-25 12:43:18", "languages": [ @@ -211,7 +230,7 @@ "project_name": "kuromoji", "stargazers_count": 941, "source": "GitHub", - "score": 2.412008404390239, + "score": 2.42124293794735, "first_commit": "2011-01-20 15:26:44", "latest_commit": "2019-09-23 11:13:04", "languages": [ @@ -225,7 +244,7 @@ "project_name": "mecab", "stargazers_count": 908, "source": "GitHub", - "score": 2.315548067965403, + "score": 2.324502051531623, "first_commit": "2011-10-15 15:16:30", "latest_commit": "2023-05-24 16:04:25", "languages": [ @@ -245,7 +264,7 @@ "project_name": "awesome-japanese-llm", "stargazers_count": 879, "source": "GitHub", - "score": 2.2307798935314564, + "score": 2.239487333166287, "first_commit": "2023-07-09 13:36:38", "latest_commit": "2024-08-10 19:11:35", "languages": [ @@ -253,26 +272,13 @@ ], "model_or_dataset": null }, - { - "description": "BERT large Japanese (unidic-lite with whole word masking, jawiki-20200831)", - "url": "https://huggingface.co./tohoku-nlp/bert-large-japanese", - "project_name": "bert-large-japanese", - "downloads": 152032, - "source": "Hugging Face", - "score": 2.1797118873908508, - "first_commit": "2021-03-05 06:17:13", - "latest_commit": "2021-09-23 15:45:41", - "languages": [], - "model_or_dataset": "model", - "model_size": null - }, { "description": "Japanese morphological analysis engine written in pure Python", "url": "https://github.com/mocobeta/janome", "project_name": "janome", "stargazers_count": 843, "source": "GitHub", - "score": 2.125550435613454, + "score": 2.133951820712767, "first_commit": "2015-02-14 18:45:54", "latest_commit": "2023-07-01 20:31:23", "languages": [ @@ -286,7 +292,7 @@ "project_name": "voicevox_core", "stargazers_count": 839, "source": "GitHub", - "score": 2.1138582736225646, + "score": 2.1222256526623755, "first_commit": "2021-08-31 23:19:33", "latest_commit": "2024-08-14 00:00:48", "languages": [ @@ -298,26 +304,13 @@ ], "model_or_dataset": null }, - { - "description": "Manga OCR Optical character recognition for Japanese text, with the main focus being Japanese manga.", - "url": "https://huggingface.co./kha-white/manga-ocr-base", - "project_name": "manga-ocr-base", - "downloads": 146962, - "source": "Hugging Face", - "score": 2.1034095945507914, - "first_commit": "2022-01-15 17:39:06", - "latest_commit": "2022-06-22 15:34:05", - "languages": [], - "model_or_dataset": "model", - "model_size": null - }, { "description": "JavaScript implementation of Japanese morphological analyzer", "url": "https://github.com/takuyaa/kuromoji.js", "project_name": "kuromoji.js", "stargazers_count": 831, "source": "GitHub", - "score": 2.0904739496407863, + "score": 2.0987733165615934, "first_commit": "2014-12-04 17:31:39", "latest_commit": "2018-11-24 16:05:09", "languages": [ @@ -331,7 +324,7 @@ "project_name": "budoux", "stargazers_count": 815, "source": "GitHub", - "score": 2.04370530167723, + "score": 2.0518686443600287, "first_commit": "2021-11-18 09:36:21", "latest_commit": "2024-08-16 15:09:25", "languages": [ @@ -348,7 +341,7 @@ "project_name": "kagome", "stargazers_count": 803, "source": "GitHub", - "score": 2.0086288157045624, + "score": 2.0166901402088553, "first_commit": "2014-06-26 13:52:06", "latest_commit": "2024-08-13 10:35:54", "languages": [ @@ -363,7 +356,7 @@ "project_name": "kuroshiro", "stargazers_count": 787, "source": "GitHub", - "score": 1.9618601677410055, + "score": 1.9697854680072908, "first_commit": "2016-01-03 17:16:40", "latest_commit": "2021-06-07 23:02:39", "languages": [ @@ -377,7 +370,7 @@ "project_name": "mokuro", "stargazers_count": 781, "source": "GitHub", - "score": 1.944321924754672, + "score": 1.9521962159317041, "first_commit": "2022-04-16 14:44:52", "latest_commit": "2024-07-09 17:10:55", "languages": [ @@ -387,13 +380,27 @@ ], "model_or_dataset": null }, + { + "description": "This is a Japanese sentence-BERT model. ", + "url": "https://huggingface.co./sonoisa/sentence-bert-base-ja-mean-tokens-v2", + "project_name": "sentence-bert-base-ja-mean-tokens-v2", + "downloads": 129262, + "source": "Hugging Face", + "score": 1.9164354915326902, + "first_commit": "2021-12-14 11:18:19", + "latest_commit": "2024-04-17 11:39:38", + "languages": [], + "model_or_dataset": "model", + "model_size": 0.111, + "model_architectures": "BertModel" + }, { "description": "Javascript library for detecting and transliterating Hiragana <--> Katakana <--> Romaji", "url": "https://github.com/WaniKani/WanaKana", "project_name": "WanaKana", "stargazers_count": 738, "source": "GitHub", - "score": 1.8186311833526132, + "score": 1.8261399093899993, "first_commit": "2013-08-27 12:57:41", "latest_commit": "2023-11-20 12:22:09", "languages": [ @@ -408,7 +415,7 @@ "project_name": "ginza", "stargazers_count": 731, "source": "GitHub", - "score": 1.7981698998685571, + "score": 1.8056191153018146, "first_commit": "2019-03-11 16:49:15", "latest_commit": "2024-03-31 07:29:06", "languages": [ @@ -422,7 +429,7 @@ "project_name": "shuwa", "stargazers_count": 726, "source": "GitHub", - "score": 1.7835546973799457, + "score": 1.7909614052388259, "first_commit": "2021-04-20 14:25:55", "latest_commit": "2022-12-22 19:41:35", "languages": [ @@ -437,7 +444,7 @@ "project_name": "luke", "stargazers_count": 699, "source": "GitHub", - "score": 1.704632603941444, + "score": 1.7118097708986855, "first_commit": "2020-03-31 21:56:47", "latest_commit": "2023-06-16 23:11:54", "languages": [ @@ -452,7 +459,7 @@ "project_name": "japanese-addresses", "stargazers_count": 698, "source": "GitHub", - "score": 1.7017095634437216, + "score": 1.7088782288860878, "first_commit": "2020-07-12 13:35:51", "latest_commit": "2024-01-15 09:28:19", "languages": [ @@ -460,13 +467,27 @@ ], "model_or_dataset": "dataset" }, + { + "description": "BERT base Japanese (character tokenization)", + "url": "https://huggingface.co./tohoku-nlp/bert-base-japanese-char", + "project_name": "bert-base-japanese-char", + "downloads": 113979, + "source": "Hugging Face", + "score": 1.6763188271749703, + "first_commit": "2020-04-28 21:34:05", + "latest_commit": "2024-02-22 00:57:58", + "languages": [], + "model_or_dataset": "model", + "model_size": null, + "model_architectures": "BertForMaskedLM" + }, { "description": "ChatdollKit enables you to make your 3D model into a chatbot", "url": "https://github.com/uezo/ChatdollKit", "project_name": "ChatdollKit", "stargazers_count": 685, "source": "GitHub", - "score": 1.6637100369733318, + "score": 1.6707681827223164, "first_commit": "2020-03-21 22:01:11", "latest_commit": "2024-07-21 01:41:49", "languages": [ @@ -474,26 +495,13 @@ ], "model_or_dataset": null }, - { - "description": "BERT base Japanese (character tokenization)", - "url": "https://huggingface.co./tohoku-nlp/bert-base-japanese-char", - "project_name": "bert-base-japanese-char", - "downloads": 117281, - "source": "Hugging Face", - "score": 1.656717611555563, - "first_commit": "2020-04-28 21:34:05", - "latest_commit": "2024-02-22 00:57:58", - "languages": [], - "model_or_dataset": "model", - "model_size": null - }, { "description": "オープンソースの住所正規化ライブラリ。", "url": "https://github.com/geolonia/normalize-japanese-addresses", "project_name": "normalize-japanese-addresses", "stargazers_count": 672, "source": "GitHub", - "score": 1.625710510502942, + "score": 1.6326581365585453, "first_commit": "2020-05-30 10:53:34", "latest_commit": "2024-07-02 10:44:21", "languages": [ @@ -506,14 +514,15 @@ "description": "BERT base Japanese (character-level tokenization with whole word masking, jawiki-20200831)", "url": "https://huggingface.co./tohoku-nlp/bert-base-japanese-char-v2", "project_name": "bert-base-japanese-char-v2", - "downloads": 108438, + "downloads": 108094, "source": "Hugging Face", - "score": 1.5236325670615498, + "score": 1.5838574930295026, "first_commit": "2021-03-05 04:05:08", "latest_commit": "2021-09-23 15:45:24", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "BertForMaskedLM" }, { "description": "Automatically exported from code.google.com/p/mozc-morse", @@ -521,7 +530,7 @@ "project_name": "mozc-devices", "stargazers_count": 635, "source": "GitHub", - "score": 1.5175580120872172, + "score": 1.5241910820924272, "first_commit": "2012-06-06 06:06:16", "latest_commit": "2024-02-28 20:08:36", "languages": [ @@ -532,17 +541,18 @@ "model_or_dataset": null }, { - "description": "JMTEB:", - "url": "https://huggingface.co./datasets/sbintuitions/JMTEB", - "project_name": "JMTEB", - "downloads": 98053, + "description": "rinna/japanese-cloob-vit-b-16", + "url": "https://huggingface.co./rinna/japanese-cloob-vit-b-16", + "project_name": "japanese-cloob-vit-b-16", + "downloads": 94886, "source": "Hugging Face", - "score": 1.3673407897155898, - "first_commit": "2024-02-22 18:15:27", - "latest_commit": "2024-06-28 15:18:20", + "score": 1.3763418938122833, + "first_commit": "2022-04-27 08:29:29", + "latest_commit": "2024-07-22 08:09:24", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": 0.197, + "model_architectures": "CLOOBModel" }, { "description": "Code for producing Japanese pretrained models provided by rinna Co., Ltd.", @@ -550,7 +560,7 @@ "project_name": "japanese-pretrained-models", "stargazers_count": 576, "source": "GitHub", - "score": 1.3450986227216017, + "score": 1.3512301033491578, "first_commit": "2021-04-06 13:48:14", "latest_commit": "2022-10-28 16:08:26", "languages": [ @@ -558,26 +568,13 @@ ], "model_or_dataset": "model" }, - { - "description": "This is a Japanese sentence-BERT model.", - "url": "https://huggingface.co./sonoisa/sentence-bert-base-ja-mean-tokens-v2", - "project_name": "sentence-bert-base-ja-mean-tokens-v2", - "downloads": 94529, - "source": "Hugging Face", - "score": 1.3143054287750828, - "first_commit": "2021-12-14 11:18:19", - "latest_commit": "2024-04-17 11:39:38", - "languages": [], - "model_or_dataset": "model", - "model_size": 0.111 - }, { "description": "mecab-python. mecab-python. you can find original version here:http://taku910.github.io/mecab/", "url": "https://github.com/SamuraiT/mecab-python3", "project_name": "mecab-python3", "stargazers_count": 515, "source": "GitHub", - "score": 1.166793152360542, + "score": 1.1724060405806926, "first_commit": "2014-05-31 17:47:48", "latest_commit": "2024-04-15 21:32:53", "languages": [ @@ -592,7 +589,7 @@ "project_name": "bert-japanese", "stargazers_count": 502, "source": "GitHub", - "score": 1.128793625890152, + "score": 1.1342959944169215, "first_commit": "2019-03-24 22:50:33", "latest_commit": "2024-03-24 00:08:38", "languages": [ @@ -607,7 +604,7 @@ "project_name": "bert-japanese", "stargazers_count": 497, "source": "GitHub", - "score": 1.1141784234015408, + "score": 1.1196382843539325, "first_commit": "2018-12-27 20:05:33", "latest_commit": "2021-02-15 10:20:28", "languages": [ @@ -616,13 +613,27 @@ ], "model_or_dataset": "model" }, + { + "description": "This is a Japanese sentence-BERT model.", + "url": "https://huggingface.co./sonoisa/sentence-bert-base-ja-mean-tokens", + "project_name": "sentence-bert-base-ja-mean-tokens", + "downloads": 76653, + "source": "Hugging Face", + "score": 1.089876727206623, + "first_commit": "2021-07-22 06:11:37", + "latest_commit": "2024-04-17 11:40:03", + "languages": [], + "model_or_dataset": "model", + "model_size": 0.111, + "model_architectures": "BertForMaskedLM" + }, { "description": "morphological analyzer (word segmentor + PoS Tagger) for Chinese and Japanese written purely in JavaScript.", "url": "https://github.com/rakuten-nlp/rakutenma", "project_name": "rakutenma", "stargazers_count": 471, "source": "GitHub", - "score": 1.0381793704607611, + "score": 1.04341819202639, "first_commit": "2014-08-05 19:05:12", "latest_commit": "2015-01-29 18:28:18", "languages": [ @@ -636,7 +647,7 @@ "project_name": "bangumi-data", "stargazers_count": 471, "source": "GitHub", - "score": 1.0381793704607611, + "score": 1.04341819202639, "first_commit": "2016-09-05 10:17:46", "latest_commit": "2024-08-12 10:50:17", "languages": [ @@ -646,43 +657,60 @@ "model_or_dataset": null }, { - "description": "ELYZA-japanese-Llama-2-7b Model Description ELYZA-japanese-Llama-2-7b は、 Llama2をベースとして日本語能力を拡張するために追加事前学習を行ったモデルです。 ", - "url": "https://huggingface.co./elyza/ELYZA-japanese-Llama-2-7b-instruct", - "project_name": "ELYZA-japanese-Llama-2-7b-instruct", - "downloads": 73346, + "description": "This is a Japanese sentence-LUKE model.", + "url": "https://huggingface.co./sonoisa/sentence-luke-japanese-base-lite", + "project_name": "sentence-luke-japanese-base-lite", + "downloads": 69418, "source": "Hugging Face", - "score": 0.9955063224178874, - "first_commit": "2023-08-28 12:58:25", - "latest_commit": "2023-08-29 03:46:15", + "score": 0.9762050615239624, + "first_commit": "2023-03-19 14:44:42", + "latest_commit": "2023-03-20 01:32:34", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "LukeModel" }, { "description": "BERT base Japanese (unidic-lite with whole word masking, CC-100 and jawiki-20230102)", "url": "https://huggingface.co./tohoku-nlp/bert-base-japanese-v3", "project_name": "bert-base-japanese-v3", - "downloads": 72082, + "downloads": 68993, "source": "Hugging Face", - "score": 0.9764834233745275, + "score": 0.9695277349289202, "first_commit": "2023-05-19 00:13:53", "latest_commit": "2023-05-19 00:31:53", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "BertForPreTraining" }, { - "description": "This is a Japanese sentence-BERT model.", - "url": "https://huggingface.co./sonoisa/sentence-bert-base-ja-mean-tokens", - "project_name": "sentence-bert-base-ja-mean-tokens", - "downloads": 71404, + "description": "JMMLU Japanese Massive Multitask Language Understanding Benchmark JMMLU is a four-choice question set consisting of Japanese-translated questions of a portion of MMLU (Paper, Github) (Translated questions) and questions based on unique Japanese cultural context (Japanese questions).", + "url": "https://huggingface.co./datasets/nlp-waseda/JMMLU", + "project_name": "JMMLU", + "downloads": 67721, "source": "Hugging Face", - "score": 0.9662796848053835, - "first_commit": "2021-07-22 06:11:37", - "latest_commit": "2024-04-17 11:40:03", + "score": 0.949542889213876, + "first_commit": "2024-02-09 12:19:13", + "latest_commit": "2024-02-27 05:22:30", + "languages": [], + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null + }, + { + "description": "Swallow Our Swallow model has undergone continual pre-training from the Llama 2 family, primarily with the addition of Japanese language data.", + "url": "https://huggingface.co./tokyotech-llm/Swallow-7b-instruct-hf", + "project_name": "Swallow-7b-instruct-hf", + "downloads": 62180, + "source": "Hugging Face", + "score": 0.8624862617712191, + "first_commit": "2023-12-07 02:18:36", + "latest_commit": "2024-06-29 08:56:26", "languages": [], "model_or_dataset": "model", - "model_size": 0.111 + "model_size": 6.83, + "model_architectures": "LlamaForCausalLM" }, { "description": "Lightweight converter from Japanese Kana-kanji sentences into Kana-Roman.", @@ -690,7 +718,7 @@ "project_name": "pykakasi", "stargazers_count": 407, "source": "GitHub", - "score": 0.8511047786065344, + "score": 0.8557995032201318, "first_commit": "2011-01-26 09:56:25", "latest_commit": "2022-07-22 12:36:37", "languages": [ @@ -699,30 +727,32 @@ "model_or_dataset": null }, { - "description": "Swallow Our Swallow model has undergone continual pre-training from the Llama 2 family, primarily with the addition of Japanese language data.", - "url": "https://huggingface.co./tokyotech-llm/Swallow-7b-instruct-hf", - "project_name": "Swallow-7b-instruct-hf", - "downloads": 58700, + "description": "shisa-gamma-7b-v1 For more information see our main Shisa 7B model We applied a version of our fine-tune data set onto Japanese Stable LM Base Gamma 7B and it performed pretty well, just sharing since it might be of interest.", + "url": "https://huggingface.co./augmxnt/shisa-gamma-7b-v1", + "project_name": "shisa-gamma-7b-v1", + "downloads": 59480, "source": "Hugging Face", - "score": 0.7750875096100943, - "first_commit": "2023-12-07 02:18:36", - "latest_commit": "2024-06-29 08:56:26", + "score": 0.8200655986968329, + "first_commit": "2023-12-23 20:21:44", + "latest_commit": "2024-05-19 06:07:36", "languages": [], "model_or_dataset": "model", - "model_size": 6.83 + "model_size": 7.24, + "model_architectures": "MistralForCausalLM" }, { "description": "Sentence BERT base Japanese model This repository contains a Sentence BERT base model for Japanese.", "url": "https://huggingface.co./colorfulscoop/sbert-base-ja", "project_name": "sbert-base-ja", - "downloads": 58678, + "downloads": 57043, "source": "Hugging Face", - "score": 0.7747564148482636, + "score": 0.7817770224330258, "first_commit": "2021-08-01 04:12:28", "latest_commit": "2021-08-08 15:47:42", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "BertModel" }, { "description": "テキストを壱百満天原サロメお嬢様風の口調に変換します", @@ -730,7 +760,7 @@ "project_name": "ojosama", "stargazers_count": 380, "source": "GitHub", - "score": 0.7721826851680325, + "score": 0.7766478688799915, "first_commit": "2022-06-16 07:21:02", "latest_commit": "2024-08-07 00:15:14", "languages": [ @@ -744,7 +774,7 @@ "project_name": "fugashi", "stargazers_count": 376, "source": "GitHub", - "score": 0.7604905231771434, + "score": 0.7649217008296003, "first_commit": "2019-10-14 13:33:36", "latest_commit": "2024-04-15 21:15:01", "languages": [ @@ -758,7 +788,7 @@ "project_name": "nagisa", "stargazers_count": 376, "source": "GitHub", - "score": 0.7604905231771434, + "score": 0.7649217008296003, "first_commit": "2018-02-14 23:56:05", "latest_commit": "2024-06-15 01:55:19", "languages": [ @@ -772,7 +802,7 @@ "project_name": "jumanpp", "stargazers_count": 372, "source": "GitHub", - "score": 0.7487983611862542, + "score": 0.7531955327792091, "first_commit": "2016-10-17 14:48:20", "latest_commit": "2023-03-06 09:27:42", "languages": [ @@ -789,7 +819,7 @@ "project_name": "lindera", "stargazers_count": 369, "source": "GitHub", - "score": 0.7400292396930873, + "score": 0.7444009067414158, "first_commit": "2020-01-22 23:29:22", "latest_commit": "2024-07-15 23:23:30", "languages": [ @@ -797,39 +827,13 @@ ], "model_or_dataset": null }, - { - "description": "shisa-gamma-7b-v1 For more information see our main Shisa 7B model We applied a version of our fine-tune data set onto Japanese Stable LM Base Gamma 7B and it performed pretty well, just sharing since it might be of interest.", - "url": "https://huggingface.co./augmxnt/shisa-gamma-7b-v1", - "project_name": "shisa-gamma-7b-v1", - "downloads": 55036, - "source": "Hugging Face", - "score": 0.7199451820033925, - "first_commit": "2023-12-23 20:21:44", - "latest_commit": "2024-05-19 06:07:36", - "languages": [], - "model_or_dataset": "model", - "model_size": 7.24 - }, - { - "description": "This is a Japanese sentence-LUKE model.", - "url": "https://huggingface.co./sonoisa/sentence-luke-japanese-base-lite", - "project_name": "sentence-luke-japanese-base-lite", - "downloads": 53378, - "source": "Hugging Face", - "score": 0.6949926767708839, - "first_commit": "2023-03-19 14:44:42", - "latest_commit": "2023-03-20 01:32:34", - "languages": [], - "model_or_dataset": "model", - "model_size": null - }, { "description": "NDLOCRのアプリケーション", "url": "https://github.com/ndl-lab/ndlocr_cli", "project_name": "ndlocr_cli", "stargazers_count": 344, "source": "GitHub", - "score": 0.6669532272500299, + "score": 0.6711123564264712, "first_commit": "2022-03-30 11:12:01", "latest_commit": "2024-07-29 09:20:46", "languages": [ @@ -843,7 +847,7 @@ "project_name": "camphr", "stargazers_count": 340, "source": "GitHub", - "score": 0.6552610652591409, + "score": 0.65938618837608, "first_commit": "2019-08-27 07:22:43", "latest_commit": "2021-08-18 15:06:51", "languages": [ @@ -857,7 +861,7 @@ "project_name": "aquaskk", "stargazers_count": 339, "source": "GitHub", - "score": 0.6523380247614186, + "score": 0.6564546463634822, "first_commit": "2013-05-12 07:03:33", "latest_commit": "2023-07-10 00:35:46", "languages": [ @@ -871,7 +875,7 @@ "project_name": "kanji-data-media", "stargazers_count": 336, "source": "GitHub", - "score": 0.6435689032682517, + "score": 0.6476600203256888, "first_commit": "2014-08-30 19:06:48", "latest_commit": "2023-11-15 20:28:16", "languages": [], @@ -883,7 +887,7 @@ "project_name": "emoji-ime-dictionary", "stargazers_count": 331, "source": "GitHub", - "score": 0.6289537007796402, + "score": 0.6330023102626999, "first_commit": "2018-10-13 21:37:28", "latest_commit": "2023-01-16 12:01:31", "languages": [ @@ -897,7 +901,7 @@ "project_name": "animedb", "stargazers_count": 321, "source": "GitHub", - "score": 0.5997232958024172, + "score": 0.603686890136722, "first_commit": "2016-10-11 23:05:11", "latest_commit": "2023-01-04 16:56:30", "languages": [ @@ -905,13 +909,27 @@ ], "model_or_dataset": "dataset" }, + { + "description": "JMTEB:", + "url": "https://huggingface.co./datasets/sbintuitions/JMTEB", + "project_name": "JMTEB", + "downloads": 44658, + "source": "Hugging Face", + "score": 0.5871918697751471, + "first_commit": "2024-02-22 18:15:27", + "latest_commit": "2024-06-28 15:18:20", + "languages": [], + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null + }, { "description": "Japanese GPT2 Generation Model", "url": "https://github.com/tanreinama/gpt2-japanese", "project_name": "gpt2-japanese", "stargazers_count": 313, "source": "GitHub", - "score": 0.5763389718206389, + "score": 0.5802345540359397, "first_commit": "2019-12-12 11:07:23", "latest_commit": "2023-09-02 17:23:50", "languages": [ @@ -925,7 +943,7 @@ "project_name": "vibrato", "stargazers_count": 311, "source": "GitHub", - "score": 0.5704928908251943, + "score": 0.5743714700107442, "first_commit": "2022-07-06 17:50:53", "latest_commit": "2024-05-30 19:17:07", "languages": [ @@ -940,7 +958,7 @@ "project_name": "accel-brain-code", "stargazers_count": 305, "source": "GitHub", - "score": 0.5529546478388606, + "score": 0.5567822179351575, "first_commit": "2016-01-26 21:16:08", "latest_commit": "2023-12-26 12:01:37", "languages": [ @@ -957,7 +975,7 @@ "project_name": "jaconv", "stargazers_count": 299, "source": "GitHub", - "score": 0.5354164048525268, + "score": 0.5391929658595708, "first_commit": "2014-03-22 20:09:24", "latest_commit": "2024-08-13 14:26:29", "languages": [ @@ -971,7 +989,7 @@ "project_name": "yomitan-dictionaries", "stargazers_count": 295, "source": "GitHub", - "score": 0.5237242428616377, + "score": 0.5274667978091796, "first_commit": "2022-08-07 01:28:52", "latest_commit": "2024-08-04 01:00:08", "languages": [ @@ -985,7 +1003,7 @@ "project_name": "JGLUE", "stargazers_count": 294, "source": "GitHub", - "score": 0.5208012023639154, + "score": 0.5245352557965818, "first_commit": "2022-05-27 13:35:39", "latest_commit": "2023-06-24 10:50:30", "languages": [ @@ -993,13 +1011,41 @@ ], "model_or_dataset": null }, + { + "description": "FuguMT", + "url": "https://huggingface.co./staka/fugumt-en-ja", + "project_name": "fugumt-en-ja", + "downloads": 40665, + "source": "Hugging Face", + "score": 0.5244564224951384, + "first_commit": "2022-05-08 04:23:57", + "latest_commit": "2023-08-15 17:45:04", + "languages": [], + "model_or_dataset": "model", + "model_size": null, + "model_architectures": "MarianMTModel" + }, + { + "description": "FuguMT", + "url": "https://huggingface.co./staka/fugumt-ja-en", + "project_name": "fugumt-ja-en", + "downloads": 40520, + "source": "Hugging Face", + "score": 0.5221782757744768, + "first_commit": "2022-05-08 04:32:09", + "latest_commit": "2023-08-15 17:40:58", + "languages": [], + "model_or_dataset": "model", + "model_size": null, + "model_architectures": "MarianMTModel" + }, { "description": "SudachiPy 0.6* and above are developed as Sudachi.rs.", "url": "https://github.com/WorksApplications/sudachi.rs", "project_name": "sudachi.rs", "stargazers_count": 290, "source": "GitHub", - "score": 0.5091090403730262, + "score": 0.5128090877461906, "first_commit": "2019-11-23 21:06:49", "latest_commit": "2024-06-28 10:11:04", "languages": [ @@ -1014,7 +1060,7 @@ "project_name": "Poricom", "stargazers_count": 283, "source": "GitHub", - "score": 0.4886477568889701, + "score": 0.49228829365800614, "first_commit": "2021-08-31 16:21:12", "latest_commit": "2023-06-04 18:55:23", "languages": [ @@ -1028,7 +1074,7 @@ "project_name": "japanese-stable-diffusion", "stargazers_count": 280, "source": "GitHub", - "score": 0.4798786353958032, + "score": 0.4834936676202128, "first_commit": "2022-09-09 10:11:41", "latest_commit": "2023-03-20 08:21:57", "languages": [ @@ -1037,13 +1083,27 @@ ], "model_or_dataset": null }, + { + "description": "Model Card for Japanese DeBERTa V2 base Model description This is a Japanese DeBERTa V2 base model pre-trained on Japanese Wikipedia, the Japanese portion of CC-100, and the Japanese portion of OSCAR.", + "url": "https://huggingface.co./ku-nlp/deberta-v2-base-japanese", + "project_name": "deberta-v2-base-japanese", + "downloads": 37921, + "source": "Hugging Face", + "score": 0.48134445972620665, + "first_commit": "2023-01-05 08:04:14", + "latest_commit": "2023-05-12 14:13:03", + "languages": [], + "model_or_dataset": "model", + "model_size": 0.137, + "model_architectures": "DebertaV2ForMaskedLM" + }, { "description": "Japanese to romaji converter in Python", "url": "https://github.com/polm/cutlet", "project_name": "cutlet", "stargazers_count": 278, "source": "GitHub", - "score": 0.4740325544003587, + "score": 0.4776305835950172, "first_commit": "2020-04-16 22:59:42", "latest_commit": "2024-06-28 00:40:28", "languages": [ @@ -1058,7 +1118,7 @@ "project_name": "corvusskk", "stargazers_count": 277, "source": "GitHub", - "score": 0.4711095139026364, + "score": 0.4746990415824194, "first_commit": "2012-06-15 14:12:35", "latest_commit": "2024-08-04 19:22:13", "languages": [ @@ -1074,7 +1134,7 @@ "project_name": "llm-book", "stargazers_count": 273, "source": "GitHub", - "score": 0.4594173519117472, + "score": 0.46297287353202826, "first_commit": "2023-07-13 16:50:00", "latest_commit": "2024-07-27 21:21:13", "languages": [ @@ -1082,13 +1142,41 @@ ], "model_or_dataset": null }, + { + "description": "ELYZA-japanese-Llama-2-7b Model Description ELYZA-japanese-Llama-2-7b は、 Llama2をベースとして日本語能力を拡張するために追加事前学習を行ったモデルです。 ", + "url": "https://huggingface.co./elyza/ELYZA-japanese-Llama-2-7b-instruct", + "project_name": "ELYZA-japanese-Llama-2-7b-instruct", + "downloads": 36674, + "source": "Hugging Face", + "score": 0.46175239792851797, + "first_commit": "2023-08-28 12:58:25", + "latest_commit": "2023-08-29 03:46:15", + "languages": [], + "model_or_dataset": "model", + "model_size": null, + "model_architectures": "LlamaForCausalLM" + }, + { + "description": "hotchpotch/japanese-reranker-cross-encoder-xsmall-v1 日本語で学習させた Reranker (CrossEncoder) シリーズです。 ", + "url": "https://huggingface.co./hotchpotch/japanese-reranker-cross-encoder-xsmall-v1", + "project_name": "japanese-reranker-cross-encoder-xsmall-v1", + "downloads": 36590, + "source": "Hugging Face", + "score": 0.4604326439662037, + "first_commit": "2024-03-28 04:29:26", + "latest_commit": "2024-06-10 03:57:05", + "languages": [], + "model_or_dataset": "model", + "model_size": 0.107, + "model_architectures": "XLMRobertaForSequenceClassification" + }, { "description": "Restaurant Search System through Dialogue in Japanese.", "url": "https://github.com/Hironsan/HotPepperGourmetDialogue", "project_name": "HotPepperGourmetDialogue", "stargazers_count": 272, "source": "GitHub", - "score": 0.4564943114140249, + "score": 0.4600413315194305, "first_commit": "2016-02-13 11:37:07", "latest_commit": "2016-05-19 13:05:29", "languages": [ @@ -1102,7 +1190,7 @@ "project_name": "tacotron2-japanese", "stargazers_count": 269, "source": "GitHub", - "score": 0.447725189920858, + "score": 0.4512467054816371, "first_commit": "2022-07-25 11:42:50", "latest_commit": "2022-09-04 12:57:11", "languages": [ @@ -1111,26 +1199,13 @@ ], "model_or_dataset": null }, - { - "description": "Model Card for Japanese DeBERTa V2 base Model description This is a Japanese DeBERTa V2 base model pre-trained on Japanese Wikipedia, the Japanese portion of CC-100, and the Japanese portion of OSCAR.", - "url": "https://huggingface.co./ku-nlp/deberta-v2-base-japanese", - "project_name": "deberta-v2-base-japanese", - "downloads": 36918, - "source": "Hugging Face", - "score": 0.4472735958739648, - "first_commit": "2023-01-05 08:04:14", - "latest_commit": "2023-05-12 14:13:03", - "languages": [], - "model_or_dataset": "model", - "model_size": 0.137 - }, { "description": "Japanese text normalizer for mecab-neologd", "url": "https://github.com/ikegami-yukino/neologdn", "project_name": "neologdn", "stargazers_count": 267, "source": "GitHub", - "score": 0.44187910892541343, + "score": 0.44538362145644156, "first_commit": "2015-07-22 01:15:07", "latest_commit": "2024-05-03 00:56:43", "languages": [ @@ -1140,13 +1215,27 @@ ], "model_or_dataset": null }, + { + "description": "Llama-3-ELYZA-JP-8B Model Description Llama-3-ELYZA-JP-8B is a large language model trained by ELYZA, Inc.", + "url": "https://huggingface.co./elyza/Llama-3-ELYZA-JP-8B", + "project_name": "Llama-3-ELYZA-JP-8B", + "downloads": 34612, + "source": "Hugging Face", + "score": 0.4293555804250423, + "first_commit": "2024-06-25 06:32:13", + "latest_commit": "2024-06-26 02:56:23", + "languages": [], + "model_or_dataset": "model", + "model_size": 8.03, + "model_architectures": "LlamaForCausalLM" + }, { "description": "「BERTによる自然言語処理入門: Transformersを使った実践プログラミング」サポートページ", "url": "https://github.com/stockmarkteam/bert-book", "project_name": "bert-book", "stargazers_count": 250, "source": "GitHub", - "score": 0.39218742046413446, + "score": 0.39554740724227916, "first_commit": "2021-02-04 22:11:11", "latest_commit": "2024-02-13 13:36:21", "languages": [ @@ -1154,26 +1243,13 @@ ], "model_or_dataset": null }, - { - "description": "hotchpotch/japanese-reranker-cross-encoder-xsmall-v1 日本語で学習させた Reranker (CrossEncoder) シリーズです。 ", - "url": "https://huggingface.co./hotchpotch/japanese-reranker-cross-encoder-xsmall-v1", - "project_name": "japanese-reranker-cross-encoder-xsmall-v1", - "downloads": 33189, - "source": "Hugging Face", - "score": 0.3911530337436725, - "first_commit": "2024-03-28 04:29:26", - "latest_commit": "2024-06-10 03:57:05", - "languages": [], - "model_or_dataset": "model", - "model_size": 0.107 - }, { "description": "azooKey: A Japanese Keyboard iOS Application Fully Developed in Swift", "url": "https://github.com/ensan-hcl/azooKey", "project_name": "azooKey", "stargazers_count": 247, "source": "GitHub", - "score": 0.3834182989709676, + "score": 0.3867527812044858, "first_commit": "2020-09-03 16:35:44", "latest_commit": "2024-07-04 11:03:08", "languages": [ @@ -1188,7 +1264,7 @@ "project_name": "pdf-translator", "stargazers_count": 245, "source": "GitHub", - "score": 0.377572217975523, + "score": 0.3808896971792902, "first_commit": "2023-04-17 14:55:03", "latest_commit": "2024-05-07 16:25:33", "languages": [ @@ -1202,7 +1278,7 @@ "project_name": "japanese-dialog-transformers", "stargazers_count": 240, "source": "GitHub", - "score": 0.3629570154869115, + "score": 0.36623198711630134, "first_commit": "2021-09-17 22:13:57", "latest_commit": "2023-06-21 09:24:35", "languages": [ @@ -1210,26 +1286,13 @@ ], "model_or_dataset": "model" }, - { - "description": "rinna/japanese-clip-vit-b-16", - "url": "https://huggingface.co./rinna/japanese-clip-vit-b-16", - "project_name": "japanese-clip-vit-b-16", - "downloads": 31176, - "source": "Hugging Face", - "score": 0.36085786303616957, - "first_commit": "2022-04-27 07:52:33", - "latest_commit": "2024-07-20 08:42:32", - "languages": [], - "model_or_dataset": "model", - "model_size": 0.197 - }, { "description": "A tool for dividing the Japanese full name into a family name and a given name.", "url": "https://github.com/rskmoi/namedivider-python", "project_name": "namedivider-python", "stargazers_count": 237, "source": "GitHub", - "score": 0.3541878939937446, + "score": 0.357437361078508, "first_commit": "2020-11-08 00:41:44", "latest_commit": "2024-05-03 15:28:00", "languages": [ @@ -1237,39 +1300,13 @@ ], "model_or_dataset": null }, - { - "description": "FuguMT", - "url": "https://huggingface.co./staka/fugumt-en-ja", - "project_name": "fugumt-en-ja", - "downloads": 30172, - "source": "Hugging Face", - "score": 0.3457479020871716, - "first_commit": "2022-05-08 04:23:57", - "latest_commit": "2023-08-15 17:45:04", - "languages": [], - "model_or_dataset": "model", - "model_size": null - }, - { - "description": "JMMLU Japanese Massive Multitask Language Understanding Benchmark JMMLU is a four-choice question set consisting of Japanese-translated questions of a portion of MMLU (Paper, Github) (Translated questions) and questions based on unique Japanese cultural context (Japanese questions).", - "url": "https://huggingface.co./datasets/nlp-waseda/JMMLU", - "project_name": "JMMLU", - "downloads": 30000, - "source": "Hugging Face", - "score": 0.3431593430401321, - "first_commit": "2024-02-09 12:19:13", - "latest_commit": "2024-02-27 05:22:30", - "languages": [], - "model_or_dataset": "dataset", - "model_size": null - }, { "description": "This repository is for building Windows 64-bit MeCab binary and improving MeCab Python binding.", "url": "https://github.com/ikegami-yukino/mecab", "project_name": "mecab", "stargazers_count": 232, "source": "GitHub", - "score": 0.33957269150513314, + "score": 0.34277965101551905, "first_commit": "2011-10-15 15:16:30", "latest_commit": "2024-05-30 20:11:11", "languages": [ @@ -1289,7 +1326,7 @@ "project_name": "nlplot", "stargazers_count": 232, "source": "GitHub", - "score": 0.33957269150513314, + "score": 0.34277965101551905, "first_commit": "2020-05-07 00:10:04", "latest_commit": "2022-09-21 23:19:20", "languages": [ @@ -1298,26 +1335,13 @@ ], "model_or_dataset": null }, - { - "description": "FuguMT", - "url": "https://huggingface.co./staka/fugumt-ja-en", - "project_name": "fugumt-ja-en", - "downloads": 29737, - "source": "Hugging Face", - "score": 0.3392012556600659, - "first_commit": "2022-05-08 04:32:09", - "latest_commit": "2023-08-15 17:40:58", - "languages": [], - "model_or_dataset": "model", - "model_size": null - }, { "description": "Using Vim as an input method for X11 apps", "url": "https://github.com/algon-320/vime", "project_name": "vime", "stargazers_count": 228, "source": "GitHub", - "score": 0.327880529514244, + "score": 0.3310534829651279, "first_commit": "2022-12-03 22:32:24", "latest_commit": "2022-12-03 22:32:24", "languages": [ @@ -1325,13 +1349,27 @@ ], "model_or_dataset": null }, + { + "description": "rinna/japanese-clip-vit-b-16", + "url": "https://huggingface.co./rinna/japanese-clip-vit-b-16", + "project_name": "japanese-clip-vit-b-16", + "downloads": 28212, + "source": "Hugging Face", + "score": 0.3288028975820529, + "first_commit": "2022-04-27 07:52:33", + "latest_commit": "2024-07-20 08:42:32", + "languages": [], + "model_or_dataset": "model", + "model_size": 0.197, + "model_architectures": "CLIPModel" + }, { "description": "A lexicon for Sudachi", "url": "https://github.com/WorksApplications/SudachiDict", "project_name": "SudachiDict", "stargazers_count": 225, "source": "GitHub", - "score": 0.3191114080210771, + "score": 0.3222588569273345, "first_commit": "2019-04-01 17:14:39", "latest_commit": "2024-07-19 18:45:35", "languages": [ @@ -1346,7 +1384,7 @@ "project_name": "Jitendex", "stargazers_count": 225, "source": "GitHub", - "score": 0.3191114080210771, + "score": 0.3222588569273345, "first_commit": "2023-10-09 17:45:11", "latest_commit": "2024-07-09 16:43:23", "languages": [], @@ -1358,7 +1396,7 @@ "project_name": "konoha", "stargazers_count": 224, "source": "GitHub", - "score": 0.31618836752335483, + "score": 0.31932731491473676, "first_commit": "2018-08-22 13:55:37", "latest_commit": "2024-05-16 00:01:37", "languages": [ @@ -1367,26 +1405,13 @@ ], "model_or_dataset": null }, - { - "description": "License:CreativeML Open RAIL-M Additional Copyright: sazyou_roukaku (TwitterID @sazyou_roukaku) as of May 31, 2023 このモデルは『CreativeML Open RAIL-M』でLicenseそのものに変更はありません。 ", - "url": "https://huggingface.co./sazyou-roukaku/BracingEvoMix", - "project_name": "BracingEvoMix", - "downloads": 28186, - "source": "Hugging Face", - "score": 0.3158590749510063, - "first_commit": "2023-05-31 10:29:16", - "latest_commit": "2023-10-01 08:58:54", - "languages": [], - "model_or_dataset": "model", - "model_size": null - }, { "description": "Vaporetto: Very Accelerated POintwise pREdicTion based TOkenizer", "url": "https://github.com/daac-tools/vaporetto", "project_name": "vaporetto", "stargazers_count": 223, "source": "GitHub", - "score": 0.31326532702563253, + "score": 0.31639577290213894, "first_commit": "2021-08-18 22:59:40", "latest_commit": "2024-07-14 16:33:38", "languages": [ @@ -1400,7 +1425,7 @@ "project_name": "aiavatarkit", "stargazers_count": 218, "source": "GitHub", - "score": 0.29865012453702106, + "score": 0.30173806283915, "first_commit": "2023-05-27 23:14:32", "latest_commit": "2024-06-08 17:55:22", "languages": [ @@ -1408,26 +1433,13 @@ ], "model_or_dataset": null }, - { - "description": "Llama-3-ELYZA-JP-8B Model Description Llama-3-ELYZA-JP-8B is a large language model trained by ELYZA, Inc.", - "url": "https://huggingface.co./elyza/Llama-3-ELYZA-JP-8B", - "project_name": "Llama-3-ELYZA-JP-8B", - "downloads": 26669, - "source": "Hugging Face", - "score": 0.293028586146594, - "first_commit": "2024-06-25 06:32:13", - "latest_commit": "2024-06-26 02:56:23", - "languages": [], - "model_or_dataset": "model", - "model_size": 8.03 - }, { "description": "日本語OCR", "url": "https://github.com/tanreinama/OCR_Japanease", "project_name": "OCR_Japanease", "stargazers_count": 216, "source": "GitHub", - "score": 0.29280404354157646, + "score": 0.2958749788139544, "first_commit": "2020-04-08 09:25:03", "latest_commit": "2021-04-30 19:26:24", "languages": [ @@ -1441,7 +1453,7 @@ "project_name": "akaza", "stargazers_count": 212, "source": "GitHub", - "score": 0.28111188155068734, + "score": 0.2841488107635633, "first_commit": "2020-09-03 01:11:08", "latest_commit": "2023-05-28 23:41:07", "languages": [ @@ -1457,7 +1469,7 @@ "project_name": "jtubespeech", "stargazers_count": 208, "source": "GitHub", - "score": 0.26941971955979815, + "score": 0.2724226427131721, "first_commit": "2021-07-01 00:11:55", "latest_commit": "2023-03-02 15:50:30", "languages": [ @@ -1465,13 +1477,55 @@ ], "model_or_dataset": "dataset" }, + { + "description": "llm-book/bert-base-japanese-v3-ner-wikipedia-dataset 「大規模言語モデル入門」の第6章で紹介している固有表現認識のモデルです。 ", + "url": "https://huggingface.co./llm-book/bert-base-japanese-v3-ner-wikipedia-dataset", + "project_name": "bert-base-japanese-v3-ner-wikipedia-dataset", + "downloads": 24420, + "source": "Hugging Face", + "score": 0.26922543299758167, + "first_commit": "2023-05-28 08:06:41", + "latest_commit": "2023-07-25 13:32:15", + "languages": [], + "model_or_dataset": "model", + "model_size": null, + "model_architectures": "BertForTokenClassification" + }, + { + "description": "License:CreativeML Open RAIL-M Additional Copyright: sazyou_roukaku (TwitterID @sazyou_roukaku) as of May 31, 2023 このモデルは『CreativeML Open RAIL-M』でLicenseそのものに変更はありません。 ", + "url": "https://huggingface.co./sazyou-roukaku/BracingEvoMix", + "project_name": "BracingEvoMix", + "downloads": 24132, + "source": "Hugging Face", + "score": 0.26470056226964717, + "first_commit": "2023-05-31 10:29:16", + "latest_commit": "2023-10-01 08:58:54", + "languages": [], + "model_or_dataset": "model", + "model_size": null, + "model_architectures": null + }, + { + "description": "LaBSE Model description Language-agnostic BERT Sentence Encoder (LaBSE) is a BERT-based model trained for sentence embedding for 109 languages.", + "url": "https://huggingface.co./setu4993/LaBSE", + "project_name": "LaBSE", + "downloads": 23620, + "source": "Hugging Face", + "score": 0.256656347642208, + "first_commit": "2021-01-11 06:06:51", + "latest_commit": "2023-10-18 23:23:16", + "languages": [], + "model_or_dataset": "model", + "model_size": 0.47100000000000003, + "model_architectures": "BertModel" + }, { "description": "Tutorial to train fastText with Japanese corpus", "url": "https://github.com/icoxfog417/fastTextJapaneseTutorial", "project_name": "fastTextJapaneseTutorial", "stargazers_count": 202, "source": "GitHub", - "score": 0.2518814765734644, + "score": 0.2548333906375854, "first_commit": "2016-09-28 13:06:13", "latest_commit": "2016-09-29 14:21:51", "languages": [ @@ -1485,7 +1539,7 @@ "project_name": "posuto", "stargazers_count": 200, "source": "GitHub", - "score": 0.2460353955780198, + "score": 0.24897030661238984, "first_commit": null, "latest_commit": null, "languages": [], @@ -1497,7 +1551,7 @@ "project_name": "kytea", "stargazers_count": 199, "source": "GitHub", - "score": 0.24311235508029752, + "score": 0.24603876459979207, "first_commit": "2011-03-03 14:53:14", "latest_commit": "2020-04-03 09:46:01", "languages": [ @@ -1511,40 +1565,15 @@ "description": "Please feel free to open an issue or pull request.", "url": "https://huggingface.co./datasets/shunk031/JGLUE", "project_name": "JGLUE", - "downloads": 23333, + "downloads": 22917, "source": "Hugging Face", - "score": 0.2428225804435489, + "score": 0.24561126388617338, "first_commit": "2023-02-25 13:33:13", "latest_commit": "2024-05-21 11:23:51", "languages": [], "model_or_dataset": "dataset", - "model_size": null - }, - { - "description": "BERT base Japanese (unidic-lite with whole word masking, jawiki-20200831)", - "url": "https://huggingface.co./tohoku-nlp/bert-base-japanese-v2", - "project_name": "bert-base-japanese-v2", - "downloads": 22197, - "source": "Hugging Face", - "score": 0.22572605092356715, - "first_commit": "2021-03-05 03:37:30", - "latest_commit": "2021-09-23 15:45:31", - "languages": [], - "model_or_dataset": "model", - "model_size": null - }, - { - "description": "LaBSE Model description Language-agnostic BERT Sentence Encoder (LaBSE) is a BERT-based model trained for sentence embedding for 109 languages.", - "url": "https://huggingface.co./setu4993/LaBSE", - "project_name": "LaBSE", - "downloads": 22058, - "source": "Hugging Face", - "score": 0.2236341340192736, - "first_commit": "2021-01-11 06:06:51", - "latest_commit": "2023-10-18 23:23:16", - "languages": [], - "model_or_dataset": "model", - "model_size": 0.47100000000000003 + "model_size": null, + "model_architectures": null }, { "description": "Python wrapper for OpenJTalk", @@ -1552,7 +1581,7 @@ "project_name": "pyopenjtalk", "stargazers_count": 192, "source": "GitHub", - "score": 0.22265107159624145, + "score": 0.22551797051160755, "first_commit": "2018-08-07 00:37:37", "latest_commit": "2024-07-13 16:04:09", "languages": [ @@ -1567,7 +1596,7 @@ "project_name": "daachorse", "stargazers_count": 192, "source": "GitHub", - "score": 0.22265107159624145, + "score": 0.22551797051160755, "first_commit": "2021-09-02 11:37:02", "latest_commit": "2024-06-06 18:11:39", "languages": [ @@ -1575,13 +1604,27 @@ ], "model_or_dataset": null }, + { + "description": "nlp-waseda/roberta-base-japanese-with-auto-jumanpp Model description", + "url": "https://huggingface.co./nlp-waseda/roberta-base-japanese-with-auto-jumanpp", + "project_name": "roberta-base-japanese-with-auto-jumanpp", + "downloads": 21223, + "source": "Hugging Face", + "score": 0.21899622564616963, + "first_commit": "2022-10-15 05:09:36", + "latest_commit": "2022-10-21 10:57:40", + "languages": [], + "model_or_dataset": "model", + "model_size": null, + "model_architectures": "RobertaForMaskedLM" + }, { "description": "English-Japanese Dictionary data (Public Domain) EJDict-hand", "url": "https://github.com/kujirahand/EJDict", "project_name": "EJDict", "stargazers_count": 189, "source": "GitHub", - "score": 0.2138819501030746, + "score": 0.2167233444738142, "first_commit": "2016-01-04 23:23:52", "latest_commit": "2024-02-15 09:49:00", "languages": [ @@ -1589,39 +1632,13 @@ ], "model_or_dataset": "dataset" }, - { - "description": "nlp-waseda/roberta-base-japanese-with-auto-jumanpp Model description", - "url": "https://huggingface.co./nlp-waseda/roberta-base-japanese-with-auto-jumanpp", - "project_name": "roberta-base-japanese-with-auto-jumanpp", - "downloads": 21094, - "source": "Hugging Face", - "score": 0.20912616354633132, - "first_commit": "2022-10-15 05:09:36", - "latest_commit": "2022-10-21 10:57:40", - "languages": [], - "model_or_dataset": "model", - "model_size": null - }, - { - "description": "llm-book/bert-base-japanese-v3-ner-wikipedia-dataset 「大規模言語モデル入門」の第6章で紹介している固有表現認識のモデルです。 ", - "url": "https://huggingface.co./llm-book/bert-base-japanese-v3-ner-wikipedia-dataset", - "project_name": "bert-base-japanese-v3-ner-wikipedia-dataset", - "downloads": 20919, - "source": "Hugging Face", - "score": 0.20649245521358764, - "first_commit": "2023-05-28 08:06:41", - "latest_commit": "2023-07-25 13:32:15", - "languages": [], - "model_or_dataset": "model", - "model_size": null - }, { "description": "Java library for identifying Japanese characters from images", "url": "https://github.com/sakarika/kanjitomo-ocr", "project_name": "kanjitomo-ocr", "stargazers_count": 184, "source": "GitHub", - "score": 0.1992667476144631, + "score": 0.20206563441082526, "first_commit": "2019-12-08 14:09:53", "latest_commit": "2021-05-03 21:38:06", "languages": [ @@ -1636,7 +1653,7 @@ "project_name": "bunkai", "stargazers_count": 181, "source": "GitHub", - "score": 0.19049762612129625, + "score": 0.1932710083730319, "first_commit": "2021-04-21 12:36:10", "latest_commit": "2023-08-10 14:13:25", "languages": [ @@ -1650,7 +1667,7 @@ "project_name": "ita-corpus", "stargazers_count": 178, "source": "GitHub", - "score": 0.18172850462812937, + "score": 0.18447638233523853, "first_commit": "2021-06-03 11:22:38", "latest_commit": "2023-12-04 00:50:44", "languages": [], @@ -1662,7 +1679,7 @@ "project_name": "elasticsearch-sudachi", "stargazers_count": 177, "source": "GitHub", - "score": 0.17880546413040707, + "score": 0.18154484032264073, "first_commit": "2017-11-09 19:21:47", "latest_commit": "2024-07-04 14:46:30", "languages": [ @@ -1678,7 +1695,7 @@ "project_name": "topokanji", "stargazers_count": 174, "source": "GitHub", - "score": 0.17003634263724018, + "score": 0.17275021428484738, "first_commit": "2015-05-18 01:55:58", "latest_commit": "2016-01-24 05:18:22", "languages": [ @@ -1692,7 +1709,7 @@ "project_name": "neural_japanese_transliterator", "stargazers_count": 173, "source": "GitHub", - "score": 0.16711330213951792, + "score": 0.1698186722722496, "first_commit": "2017-01-01 13:20:54", "latest_commit": "2017-09-17 15:21:27", "languages": [ @@ -1706,7 +1723,7 @@ "project_name": "summarize_arxv", "stargazers_count": 173, "source": "GitHub", - "score": 0.16711330213951792, + "score": 0.1698186722722496, "first_commit": "2023-05-21 17:03:22", "latest_commit": "2023-05-23 01:54:10", "languages": [ @@ -1715,17 +1732,18 @@ "model_or_dataset": null }, { - "description": "Llama3 Swallow", - "url": "https://huggingface.co./tokyotech-llm/Llama-3-Swallow-8B-Instruct-v0.1", - "project_name": "Llama-3-Swallow-8B-Instruct-v0.1", - "downloads": 17210, + "description": "このドキュメントの日本語版はまだ作成中です。", + "url": "https://huggingface.co./bclavie/JaColBERT", + "project_name": "JaColBERT", + "downloads": 17769, "source": "Hugging Face", - "score": 0.1506728883213232, - "first_commit": "2024-06-26 04:11:25", - "latest_commit": "2024-07-06 15:02:39", + "score": 0.1647291996243438, + "first_commit": "2023-12-25 22:43:54", + "latest_commit": "2024-01-27 15:30:00", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": 0.111, + "model_architectures": "HF_ColBERT" }, { "description": "国会議案データベース：衆議院", @@ -1733,7 +1751,7 @@ "project_name": "house-of-representatives", "stargazers_count": 167, "source": "GitHub", - "score": 0.14957505915318414, + "score": 0.15222942019666288, "first_commit": "2022-04-18 14:41:05", "latest_commit": "2024-08-15 14:09:44", "languages": [ @@ -1748,7 +1766,7 @@ "project_name": "jmdict-simplified", "stargazers_count": 166, "source": "GitHub", - "score": 0.14665201865546185, + "score": 0.1492978781840651, "first_commit": "2016-02-07 00:30:44", "latest_commit": "2024-08-12 12:21:03", "languages": [ @@ -1758,13 +1776,27 @@ ], "model_or_dataset": "dataset" }, + { + "description": "LINE DistilBERT Japanese This is a DistilBERT model pre-trained on 131 GB of Japanese web text.", + "url": "https://huggingface.co./line-corporation/line-distilbert-base-japanese", + "project_name": "line-distilbert-base-japanese", + "downloads": 15911, + "source": "Hugging Face", + "score": 0.13553749888648844, + "first_commit": "2023-03-10 10:23:54", + "latest_commit": "2023-12-01 09:50:34", + "languages": [], + "model_or_dataset": "model", + "model_size": null, + "model_architectures": "DistilBertForMaskedLM" + }, { "description": "ディープラーニングモデルの性能を体系的に最大化するためのプレイブック", "url": "https://github.com/Valkyrja3607/tuning_playbook_ja", "project_name": "tuning_playbook_ja", "stargazers_count": 161, "source": "GitHub", - "score": 0.1320368161668504, + "score": 0.13464016812107615, "first_commit": "2023-01-22 02:19:42", "latest_commit": "2023-01-22 22:10:48", "languages": [], @@ -1776,7 +1808,7 @@ "project_name": "DistilBERT-base-jp", "stargazers_count": 160, "source": "GitHub", - "score": 0.1291137756691281, + "score": 0.13170862610847836, "first_commit": "2020-04-22 16:17:15", "latest_commit": "2020-04-22 16:24:26", "languages": [], @@ -1788,7 +1820,7 @@ "project_name": "inappropriate-words-ja", "stargazers_count": 159, "source": "GitHub", - "score": 0.1261907351714058, + "score": 0.12877708409588057, "first_commit": "2020-08-17 13:38:34", "latest_commit": "2021-12-02 00:33:00", "languages": [ @@ -1796,26 +1828,13 @@ ], "model_or_dataset": "dataset" }, - { - "description": "LINE DistilBERT Japanese This is a DistilBERT model pre-trained on 131 GB of Japanese web text.", - "url": "https://huggingface.co./line-corporation/line-distilbert-base-japanese", - "project_name": "line-distilbert-base-japanese", - "downloads": 15521, - "source": "Hugging Face", - "score": 0.1252538404698714, - "first_commit": "2023-03-10 10:23:54", - "latest_commit": "2023-12-01 09:50:34", - "languages": [], - "model_or_dataset": "model", - "model_size": null - }, { "description": "JapaneseEmbeddingEval", "url": "https://github.com/oshizo/JapaneseEmbeddingEval", "project_name": "JapaneseEmbeddingEval", "stargazers_count": 157, "source": "GitHub", - "score": 0.12034465417596123, + "score": 0.12291400007068501, "first_commit": "2023-01-07 13:35:18", "latest_commit": "2024-04-06 12:45:12", "languages": [ @@ -1829,7 +1848,7 @@ "project_name": "Jotoba", "stargazers_count": 157, "source": "GitHub", - "score": 0.12034465417596123, + "score": 0.12291400007068501, "first_commit": "2021-04-15 11:08:23", "latest_commit": "2024-01-22 17:06:42", "languages": [ @@ -1839,30 +1858,32 @@ "model_or_dataset": null }, { - "description": "Japanese Stable LM Base Gamma 7B Model Description", - "url": "https://huggingface.co./stabilityai/japanese-stablelm-base-gamma-7b", - "project_name": "japanese-stablelm-base-gamma-7b", - "downloads": 15044, + "description": "Llama3 Swallow", + "url": "https://huggingface.co./tokyotech-llm/Llama-3-Swallow-8B-Instruct-v0.1", + "project_name": "Llama-3-Swallow-8B-Instruct-v0.1", + "downloads": 14950, "source": "Hugging Face", - "score": 0.1180751040429072, - "first_commit": "2023-10-16 08:15:14", - "latest_commit": "2024-01-25 08:05:12", + "score": 0.1204388851033458, + "first_commit": "2024-06-26 04:11:25", + "latest_commit": "2024-07-06 15:02:39", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": 8.03, + "model_architectures": "LlamaForCausalLM" }, { - "description": "このドキュメントの日本語版はまだ作成中です。", - "url": "https://huggingface.co./bclavie/JaColBERT", - "project_name": "JaColBERT", - "downloads": 14314, + "description": "Japanese Stable LM Base Gamma 7B Model Description", + "url": "https://huggingface.co./stabilityai/japanese-stablelm-base-gamma-7b", + "project_name": "japanese-stablelm-base-gamma-7b", + "downloads": 14177, "source": "Hugging Face", - "score": 0.10708877785489075, - "first_commit": "2023-12-25 22:43:54", - "latest_commit": "2024-01-27 15:30:00", + "score": 0.10829400637871597, + "first_commit": "2023-10-16 08:15:14", + "latest_commit": "2024-01-25 08:05:12", "languages": [], "model_or_dataset": "model", - "model_size": 0.111 + "model_size": 7.24, + "model_architectures": "MistralForCausalLM" }, { "description": "Japanese negative positive classification.日本語文書のネガポジを判定。", @@ -1870,7 +1891,7 @@ "project_name": "negapoji", "stargazers_count": 151, "source": "GitHub", - "score": 0.10280641118962747, + "score": 0.10532474799509828, "first_commit": "2017-08-17 17:23:49", "latest_commit": "2017-08-20 18:12:51", "languages": [ @@ -1884,7 +1905,7 @@ "project_name": "dictation-kit", "stargazers_count": 151, "source": "GitHub", - "score": 0.10280641118962747, + "score": 0.10532474799509828, "first_commit": "2015-10-03 17:08:52", "latest_commit": "2019-04-18 11:41:47", "languages": [ @@ -1899,7 +1920,7 @@ "project_name": "chiVe", "stargazers_count": 151, "source": "GitHub", - "score": 0.10280641118962747, + "score": 0.10532474799509828, "first_commit": "2019-11-18 15:39:08", "latest_commit": "2024-03-01 17:50:40", "languages": [ @@ -1908,17 +1929,18 @@ "model_or_dataset": "model" }, { - "description": "日本語T5事前学習済みモデル This is a T5 (Text-to-Text Transfer Transformer) model pretrained on Japanese corpus. ", - "url": "https://huggingface.co./sonoisa/t5-base-japanese", - "project_name": "t5-base-japanese", - "downloads": 14026, + "description": "BERT base Japanese (character-level tokenization with whole word masking, CC-100 and jawiki-20230102)", + "url": "https://huggingface.co./tohoku-nlp/bert-base-japanese-char-v3", + "project_name": "bert-base-japanese-char-v3", + "downloads": 13869, "source": "Hugging Face", - "score": 0.10275444642728973, - "first_commit": "2021-03-28 10:54:32", - "latest_commit": "2022-07-31 08:20:41", + "score": 0.10345490851689712, + "first_commit": "2023-05-19 00:33:09", + "latest_commit": "2023-05-19 00:39:44", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "BertForPreTraining" }, { "description": "Phishing URL dataset from JPCERT/CC", @@ -1926,7 +1948,7 @@ "project_name": "phishurl-list", "stargazers_count": 150, "source": "GitHub", - "score": 0.09988337069190517, + "score": 0.1023932059825005, "first_commit": "2022-08-05 15:20:50", "latest_commit": "2024-05-02 04:51:47", "languages": [ @@ -1934,26 +1956,13 @@ ], "model_or_dataset": "dataset" }, - { - "description": "Llama-3.1-70B-Japanese-Instruct-2407-gguf cyberagentさんが公開しているLlama-3.1-70B-Japanese-Instruct-2407のggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/Llama-3.1-70B-Japanese-Instruct-2407-gguf", - "project_name": "Llama-3.1-70B-Japanese-Instruct-2407-gguf", - "downloads": 12924, - "source": "Hugging Face", - "score": 0.0861696088119553, - "first_commit": "2024-07-26 09:05:34", - "latest_commit": "2024-07-27 05:59:10", - "languages": [], - "model_or_dataset": "model", - "model_size": 70.6 - }, { "description": "WRIME: 主観と客観の感情分析データセット", "url": "https://github.com/ids-cv/wrime", "project_name": "wrime", "stargazers_count": 145, "source": "GitHub", - "score": 0.0852681682032937, + "score": 0.08773549591951156, "first_commit": "2020-08-18 14:13:44", "latest_commit": "2023-01-15 13:44:21", "languages": [], @@ -1965,7 +1974,7 @@ "project_name": "asari", "stargazers_count": 143, "source": "GitHub", - "score": 0.07942208720784913, + "score": 0.08187241189431599, "first_commit": "2019-02-06 14:17:47", "latest_commit": "2022-10-19 07:38:31", "languages": [ @@ -1979,7 +1988,7 @@ "project_name": "wanna", "stargazers_count": 143, "source": "GitHub", - "score": 0.07942208720784913, + "score": 0.08187241189431599, "first_commit": "2023-03-01 18:10:59", "latest_commit": "2023-04-02 00:25:56", "languages": [ @@ -1993,7 +2002,7 @@ "project_name": "mojimoji", "stargazers_count": 142, "source": "GitHub", - "score": 0.07649904671012683, + "score": 0.0789408698817182, "first_commit": "2013-11-03 01:38:05", "latest_commit": "2024-01-12 19:24:55", "languages": [ @@ -2007,7 +2016,7 @@ "project_name": "jp-stable", "stargazers_count": 142, "source": "GitHub", - "score": 0.07649904671012683, + "score": 0.0789408698817182, "first_commit": null, "latest_commit": null, "languages": [], @@ -2019,7 +2028,7 @@ "project_name": "Japanese-Alpaca-LoRA", "stargazers_count": 142, "source": "GitHub", - "score": 0.07649904671012683, + "score": 0.0789408698817182, "first_commit": "2023-03-22 23:04:56", "latest_commit": "2023-04-03 05:31:02", "languages": [ @@ -2028,17 +2037,32 @@ "model_or_dataset": "model" }, { - "description": "Fugaku-LLM-13B-instruct-gguf Fugaku-LLMさんが公開しているFugaku-LLM-13B-instructのggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/Fugaku-LLM-13B-instruct-gguf", - "project_name": "Fugaku-LLM-13B-instruct-gguf", - "downloads": 11735, + "description": "BERT base Japanese (unidic-lite with whole word masking, jawiki-20200831)", + "url": "https://huggingface.co./tohoku-nlp/bert-base-japanese-v2", + "project_name": "bert-base-japanese-v2", + "downloads": 12115, "source": "Hugging Face", - "score": 0.06827544191119972, - "first_commit": "2024-05-10 16:43:49", - "latest_commit": "2024-05-12 06:06:51", + "score": 0.07589718887524033, + "first_commit": "2021-03-05 03:37:30", + "latest_commit": "2021-09-23 15:45:31", + "languages": [], + "model_or_dataset": "model", + "model_size": null, + "model_architectures": "BertForMaskedLM" + }, + { + "description": "bert-finetuned-japanese-sentiment This model is a fine-tuned version of cl-tohoku/bert-base-japanese-v2 on product amazon reviews japanese dataset.", + "url": "https://huggingface.co./christian-phu/bert-finetuned-japanese-sentiment", + "project_name": "bert-finetuned-japanese-sentiment", + "downloads": 12036, + "source": "Hugging Face", + "score": 0.07465599169639718, + "first_commit": "2023-04-06 16:43:51", + "latest_commit": "2023-04-07 17:27:53", "languages": [], "model_or_dataset": "model", - "model_size": 13.4 + "model_size": null, + "model_architectures": "BertForSequenceClassification" }, { "description": "A set of metrics for feature selection from text data", @@ -2046,7 +2070,7 @@ "project_name": "JapaneseTokenizers", "stargazers_count": 136, "source": "GitHub", - "score": 0.05896080372379308, + "score": 0.06135161780613148, "first_commit": "2015-09-01 19:27:42", "latest_commit": "2019-03-25 16:52:52", "languages": [ @@ -2060,7 +2084,7 @@ "project_name": "chABSA-dataset", "stargazers_count": 134, "source": "GitHub", - "score": 0.053114722728348496, + "score": 0.0554885337809359, "first_commit": "2017-12-27 11:51:01", "latest_commit": "2018-09-11 12:28:06", "languages": [ @@ -2076,7 +2100,7 @@ "project_name": "ja-timex", "stargazers_count": 132, "source": "GitHub", - "score": 0.04726864173290391, + "score": 0.049625449755740327, "first_commit": "2021-07-18 20:38:04", "latest_commit": "2023-11-04 14:58:31", "languages": [ @@ -2090,7 +2114,7 @@ "project_name": "kanji-data", "stargazers_count": 130, "source": "GitHub", - "score": 0.04142256073745932, + "score": 0.043762365730544754, "first_commit": "2019-02-28 05:53:36", "latest_commit": "2019-12-29 12:12:54", "languages": [ @@ -2105,37 +2129,39 @@ "project_name": "awesome-bert-japanese", "stargazers_count": 130, "source": "GitHub", - "score": 0.04142256073745932, + "score": 0.043762365730544754, "first_commit": "2020-07-27 00:10:39", "latest_commit": "2023-03-15 18:51:20", "languages": [], "model_or_dataset": null }, { - "description": "japanese-sentiment-analysis This model was trained from scratch on the chABSA dataset.", - "url": "https://huggingface.co./jarvisx17/japanese-sentiment-analysis", - "project_name": "japanese-sentiment-analysis", - "downloads": 9624, + "description": "BERT large Japanese (unidic-lite with whole word masking, jawiki-20200831)", + "url": "https://huggingface.co./tohoku-nlp/bert-large-japanese", + "project_name": "bert-large-japanese", + "downloads": 9999, "source": "Hugging Face", - "score": 0.03650539453736035, - "first_commit": "2022-11-15 06:28:39", - "latest_commit": "2024-01-20 14:45:14", + "score": 0.042651958110276965, + "first_commit": "2021-03-05 06:17:13", + "latest_commit": "2021-09-23 15:45:41", "languages": [], "model_or_dataset": "model", - "model_size": 0.111 + "model_size": null, + "model_architectures": "BertForMaskedLM" }, { - "description": "luke-japanese-large luke-japanese is the Japanese version of LUKE (Language Understanding with Knowledge-based Embeddings), a pre-trained knowledge-enhanced contextualized representation of words and entities.", - "url": "https://huggingface.co./studio-ousia/luke-japanese-large", - "project_name": "luke-japanese-large", - "downloads": 9394, + "description": "Fugaku-LLM-13B-instruct-gguf Fugaku-LLMさんが公開しているFugaku-LLM-13B-instructのggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/Fugaku-LLM-13B-instruct-gguf", + "project_name": "Fugaku-LLM-13B-instruct-gguf", + "downloads": 9730, "source": "Hugging Face", - "score": 0.03304394930004009, - "first_commit": "2022-11-07 14:25:53", - "latest_commit": "2022-11-09 11:18:56", + "score": 0.03842560315953256, + "first_commit": "2024-05-10 16:43:49", + "latest_commit": "2024-05-12 06:06:51", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 13.4, + "model_architectures": null }, { "description": "Wikipediaを用いた日本語の固有表現抽出データセット", @@ -2143,7 +2169,7 @@ "project_name": "ner-wikipedia-dataset", "stargazers_count": 127, "source": "GitHub", - "score": 0.03265343924429245, + "score": 0.034967739692751396, "first_commit": "2020-12-15 01:52:19", "latest_commit": "2023-09-02 23:44:38", "languages": [ @@ -2157,7 +2183,7 @@ "project_name": "PAX_SAPIENTICA", "stargazers_count": 127, "source": "GitHub", - "score": 0.03265343924429245, + "score": 0.034967739692751396, "first_commit": "2022-06-24 23:18:02", "latest_commit": "2024-08-13 01:06:14", "languages": [ @@ -2167,26 +2193,13 @@ ], "model_or_dataset": "dataset" }, - { - "description": "DeBERTa V2 small Japanese This is a DeBERTaV2 model pretrained on Japanese texts.", - "url": "https://huggingface.co./izumi-lab/deberta-v2-small-japanese", - "project_name": "deberta-v2-small-japanese", - "downloads": 9324, - "source": "Hugging Face", - "score": 0.031990465966942626, - "first_commit": "2023-10-21 13:24:28", - "latest_commit": "2024-07-19 03:08:14", - "languages": [], - "model_or_dataset": "model", - "model_size": null - }, { "description": "Node.js module for converting Japanese Hiragana and Katakana script to, and from, Romaji using Hepburn romanisation", "url": "https://github.com/lovell/hepburn", "project_name": "hepburn", "stargazers_count": 126, "source": "GitHub", - "score": 0.029730398746570155, + "score": 0.0320361976801536, "first_commit": "2013-06-28 03:06:52", "latest_commit": "2023-09-08 09:11:19", "languages": [ @@ -2195,17 +2208,32 @@ "model_or_dataset": null }, { - "description": "BERT base Japanese (character-level tokenization with whole word masking, CC-100 and jawiki-20230102)", - "url": "https://huggingface.co./tohoku-nlp/bert-base-japanese-char-v3", - "project_name": "bert-base-japanese-char-v3", - "downloads": 8684, + "description": "luke-japanese-large luke-japanese is the Japanese version of LUKE (Language Understanding with Knowledge-based Embeddings), a pre-trained knowledge-enhanced contextualized representation of words and entities.", + "url": "https://huggingface.co./studio-ousia/luke-japanese-large", + "project_name": "luke-japanese-large", + "downloads": 8936, "source": "Hugging Face", - "score": 0.02235861835005148, - "first_commit": "2023-05-19 00:33:09", - "latest_commit": "2023-05-19 00:39:44", + "score": 0.025950785944324192, + "first_commit": "2022-11-07 14:25:53", + "latest_commit": "2022-11-09 11:18:56", + "languages": [], + "model_or_dataset": "model", + "model_size": null, + "model_architectures": "LukeForMaskedLM" + }, + { + "description": "Swallow Our Swallow model has undergone continual pre-training from the Llama 2 family, primarily with the addition of Japanese language data.", + "url": "https://huggingface.co./tokyotech-llm/Swallow-7b-instruct-v0.1", + "project_name": "Swallow-7b-instruct-v0.1", + "downloads": 8852, + "source": "Hugging Face", + "score": 0.024631031982009957, + "first_commit": "2024-03-04 08:46:03", + "latest_commit": "2024-07-06 15:18:14", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 6.83, + "model_architectures": "LlamaForCausalLM" }, { "description": "Kanji usage frequency data collected from various sources", @@ -2213,7 +2241,7 @@ "project_name": "kanji-frequency", "stargazers_count": 123, "source": "GitHub", - "score": 0.020961277253403274, + "score": 0.023241571642360244, "first_commit": "2016-01-23 01:19:08", "latest_commit": "2024-07-13 03:51:19", "languages": [ @@ -2222,26 +2250,13 @@ ], "model_or_dataset": "dataset" }, - { - "description": "Swallow Our Swallow model has undergone continual pre-training from the Llama 2 family, primarily with the addition of Japanese language data.", - "url": "https://huggingface.co./tokyotech-llm/Swallow-7b-instruct-v0.1", - "project_name": "Swallow-7b-instruct-v0.1", - "downloads": 8505, - "source": "Hugging Face", - "score": 0.01966471096970224, - "first_commit": "2024-03-04 08:46:03", - "latest_commit": "2024-07-06 15:18:14", - "languages": [], - "model_or_dataset": "model", - "model_size": 6.83 - }, { "description": "deep-learning-with-pytorchの日本語版repositoryです。", "url": "https://github.com/Gin5050/deep-learning-with-pytorch-ja", "project_name": "deep-learning-with-pytorch-ja", "stargazers_count": 121, "source": "GitHub", - "score": 0.01511519625795869, + "score": 0.01737848761716467, "first_commit": "2020-12-05 15:15:16", "latest_commit": "2021-05-13 11:02:11", "languages": [ @@ -2258,7 +2273,7 @@ "project_name": "kwja", "stargazers_count": 119, "source": "GitHub", - "score": 0.009269115262514106, + "score": 0.011515403591969096, "first_commit": "2022-05-25 16:09:37", "latest_commit": "2024-08-06 23:13:59", "languages": [ @@ -2270,40 +2285,43 @@ "description": "Llama3 Swallow", "url": "https://huggingface.co./tokyotech-llm/Llama-3-Swallow-8B-v0.1", "project_name": "Llama-3-Swallow-8B-v0.1", - "downloads": 7742, + "downloads": 7821, "source": "Hugging Face", - "score": 0.00818174263893983, + "score": 0.008432623230272133, "first_commit": "2024-05-20 06:36:00", "latest_commit": "2024-07-01 06:24:48", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": 8.03, + "model_architectures": "LlamaForCausalLM" }, { - "description": "Swallow-MX-8x7b-NVE-v0.1 Our Swallow-MX-8x7b-NVE-v0.1 model has undergone continuous pre-training from the Mixtral-8x7B-Instruct-v0.1, primarily with the addition of Japanese language data.", - "url": "https://huggingface.co./tokyotech-llm/Swallow-MX-8x7b-NVE-v0.1", - "project_name": "Swallow-MX-8x7b-NVE-v0.1", - "downloads": 7569, + "description": "Model Card for Japanese DeBERTa V3 base Model description This is a Japanese DeBERTa V3 base model pre-trained on LLM-jp corpus v1.0.", + "url": "https://huggingface.co./ku-nlp/deberta-v3-base-japanese", + "project_name": "deberta-v3-base-japanese", + "downloads": 7805, "source": "Hugging Face", - "score": 0.005578133829998943, - "first_commit": "2024-02-22 04:44:42", - "latest_commit": "2024-05-03 18:51:12", + "score": 0.00818124152316466, + "first_commit": "2024-04-23 05:08:21", + "latest_commit": "2024-04-28 06:08:55", "languages": [], "model_or_dataset": "model", - "model_size": 46.7 + "model_size": null, + "model_architectures": null }, { "description": "CyberAgentLM2-7B (CALM2-7B)", "url": "https://huggingface.co./cyberagent/calm2-7b", "project_name": "calm2-7b", - "downloads": 7555, + "downloads": 7785, "source": "Hugging Face", - "score": 0.005367437163379449, + "score": 0.007867014389280317, "first_commit": "2023-11-01 07:24:59", "latest_commit": "2023-11-02 05:46:18", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "LlamaForCausalLM" }, { "description": "Python 3 library for manipulating Jim Breen's JMdict, KanjiDic2, JMnedict and kanji-radical mappings", @@ -2311,7 +2329,7 @@ "project_name": "jamdict", "stargazers_count": 117, "source": "GitHub", - "score": 0.0034230342670695203, + "score": 0.0056523195667735225, "first_commit": "2016-10-25 10:47:58", "latest_commit": "2021-06-06 12:04:03", "languages": [ @@ -2320,17 +2338,18 @@ "model_or_dataset": "dataset" }, { - "description": "ELYZA-japanese-Llama-2-7b-fast-instruct-gguf ELYZAさんが公開しているELYZA-japanese-Llama-2-7b-fast-instructのggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/ELYZA-japanese-Llama-2-7b-fast-instruct-gguf", - "project_name": "ELYZA-japanese-Llama-2-7b-fast-instruct-gguf", - "downloads": 7271, + "description": "Llama-3.1-70B-Japanese-Instruct-2407-gguf cyberagentさんが公開しているLlama-3.1-70B-Japanese-Instruct-2407のggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/Llama-3.1-70B-Japanese-Instruct-2407-gguf", + "project_name": "Llama-3.1-70B-Japanese-Instruct-2407-gguf", + "downloads": 7540, "source": "Hugging Face", - "score": 0.0010933047833840044, - "first_commit": "2023-08-29 15:31:01", - "latest_commit": "2023-11-16 14:27:48", + "score": 0.00401773199919713, + "first_commit": "2024-07-26 09:05:34", + "latest_commit": "2024-07-27 05:59:10", "languages": [], "model_or_dataset": "model", - "model_size": 6.85 + "model_size": 70.6, + "model_architectures": null }, { "description": "lists of text corpus and more (mainly Japanese)", @@ -2338,19 +2357,33 @@ "project_name": "dataset-list", "stargazers_count": 116, "source": "GitHub", - "score": 0.0004999937693472276, + "score": 0.002720777554175735, "first_commit": "2015-11-21 22:38:56", "latest_commit": "2024-07-26 00:40:50", "languages": [], "model_or_dataset": null }, + { + "description": "日本語T5事前学習済みモデル This is a T5 (Text-to-Text Transfer Transformer) model pretrained on Japanese corpus. ", + "url": "https://huggingface.co./sonoisa/t5-base-japanese", + "project_name": "t5-base-japanese", + "downloads": 7388, + "source": "Hugging Face", + "score": 0.0016296057816761313, + "first_commit": "2021-03-28 10:54:32", + "latest_commit": "2022-07-31 08:20:41", + "languages": [], + "model_or_dataset": "model", + "model_size": null, + "model_architectures": "T5Model" + }, { "description": "A comparison tool of Japanese tokenizers", "url": "https://github.com/taishi-i/toiro", "project_name": "toiro", "stargazers_count": 115, "source": "GitHub", - "score": -0.002423046728375065, + "score": -0.00021076445842205195, "first_commit": "2020-08-13 19:49:15", "latest_commit": "2023-07-31 23:55:55", "languages": [ @@ -2365,7 +2398,7 @@ "project_name": "ja_text_bert", "stargazers_count": 115, "source": "GitHub", - "score": -0.002423046728375065, + "score": -0.00021076445842205195, "first_commit": "2018-10-31 18:23:04", "latest_commit": "2018-11-08 15:17:20", "languages": [ @@ -2380,7 +2413,7 @@ "project_name": "GPTSAN", "stargazers_count": 115, "source": "GitHub", - "score": -0.002423046728375065, + "score": -0.00021076445842205195, "first_commit": "2022-02-11 14:38:55", "latest_commit": "2023-09-13 12:20:29", "languages": [ @@ -2389,30 +2422,32 @@ "model_or_dataset": "model" }, { - "description": "【告知】chilled_remix及びreversemixは2023年5月21日にVersion変更を行い、v2へ移行いたしました。", - "url": "https://huggingface.co./sazyou-roukaku/chilled_remix", - "project_name": "chilled_remix", - "downloads": 6546, + "description": "Swallow-MX-8x7b-NVE-v0.1 Our Swallow-MX-8x7b-NVE-v0.1 model has undergone continuous pre-training from the Mixtral-8x7B-Instruct-v0.1, primarily with the addition of Japanese language data.", + "url": "https://huggingface.co./tokyotech-llm/Swallow-MX-8x7b-NVE-v0.1", + "project_name": "Swallow-MX-8x7b-NVE-v0.1", + "downloads": 7257, "source": "Hugging Face", - "score": -0.009817772595125493, - "first_commit": "2023-04-18 12:48:48", - "latest_commit": "2023-06-09 23:08:31", + "score": -0.0004285819452663081, + "first_commit": "2024-02-22 04:44:42", + "latest_commit": "2024-05-03 18:51:12", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 46.7, + "model_architectures": "MixtralForCausalLM" }, { - "description": "japanese-roberta-base This repository provides a base-sized Japanese RoBERTa model.", - "url": "https://huggingface.co./rinna/japanese-roberta-base", - "project_name": "japanese-roberta-base", - "downloads": 6466, + "description": "japanese-sentiment-analysis This model was trained from scratch on the chABSA dataset.", + "url": "https://huggingface.co./jarvisx17/japanese-sentiment-analysis", + "project_name": "japanese-sentiment-analysis", + "downloads": 6778, "source": "Hugging Face", - "score": -0.011021753547236886, - "first_commit": "2021-06-11 02:56:39", - "latest_commit": "2024-07-20 07:44:40", + "score": -0.007954321801796296, + "first_commit": "2022-11-15 06:28:39", + "latest_commit": "2024-01-20 14:45:14", "languages": [], "model_or_dataset": "model", - "model_size": 0.111 + "model_size": 0.111, + "model_architectures": "BertForSequenceClassification" }, { "description": "複数の前処理を構成して管理するテキスト前処理ツール", @@ -2420,7 +2455,7 @@ "project_name": "HojiChar", "stargazers_count": 112, "source": "GitHub", - "score": -0.011192168221541942, + "score": -0.009005390496215413, "first_commit": "2023-01-31 20:37:40", "latest_commit": "2024-08-15 17:25:48", "languages": [ @@ -2434,7 +2469,7 @@ "project_name": "pymlask", "stargazers_count": 112, "source": "GitHub", - "score": -0.011192168221541942, + "score": -0.009005390496215413, "first_commit": "2017-02-10 21:33:23", "latest_commit": "2024-07-26 01:27:14", "languages": [ @@ -2443,30 +2478,32 @@ "model_or_dataset": null }, { - "description": "japanese-gpt-neox-3.6b Overview This repository provides a Japanese GPT-NeoX model of 3.6 billion parameters.", - "url": "https://huggingface.co./rinna/japanese-gpt-neox-3.6b", - "project_name": "japanese-gpt-neox-3.6b", - "downloads": 5963, + "description": "ELYZA-japanese-Llama-2-7b-fast-instruct-gguf ELYZAさんが公開しているELYZA-japanese-Llama-2-7b-fast-instructのggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/ELYZA-japanese-Llama-2-7b-fast-instruct-gguf", + "project_name": "ELYZA-japanese-Llama-2-7b-fast-instruct-gguf", + "downloads": 6682, "source": "Hugging Face", - "score": -0.018591783783637267, - "first_commit": "2023-05-17 02:16:45", - "latest_commit": "2024-07-20 07:55:19", + "score": -0.009462612044441137, + "first_commit": "2023-08-29 15:31:01", + "latest_commit": "2023-11-16 14:27:48", "languages": [], "model_or_dataset": "model", - "model_size": 3.76 + "model_size": 6.85, + "model_architectures": null }, { - "description": "自動生成のマルチターンデータセット オープンなデータソースから､Calm3-22bを使ってQ&Aを自動生成したものです｡ 一部の計算には東京工業大学のスーパーコンピュータTSUBAME4.0を利用しました｡ データソース はじめの質問(q1)を､種々のデータソースから収集しました｡その後のやりとりはすべて､Calmが生成しました｡質問文については､元データのライセンスに準拠します｡ oasst2-33k-ja apache 2.0 databricks-dolly-15k-ja cc-by-sa-3.0 minnade CC0 cyberagent/chatbot-arena-ja-calm2-7b-chat-experimental cc-by-4.0", - "url": "https://huggingface.co./datasets/kanhatakeyama/AutoMultiTurnByCalm3-22B", - "project_name": "AutoMultiTurnByCalm3-22B", - "downloads": 5893, + "description": "Tanuki-8B-dpo-v1.0 モデルについて Tanuki-8Bは、フルスクラッチで約1.3Tトークン事前学習を行った約8Bパラメータの大規模言語モデルです。", + "url": "https://huggingface.co./weblab-GENIAC/Tanuki-8B-dpo-v1.0", + "project_name": "Tanuki-8B-dpo-v1.0", + "downloads": 6304, "source": "Hugging Face", - "score": -0.019645267116734737, - "first_commit": "2024-07-17 09:53:20", - "latest_commit": "2024-07-17 10:03:02", + "score": -0.015401504874855199, + "first_commit": "2024-08-12 12:47:52", + "latest_commit": "2024-09-02 23:47:02", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": 7.51, + "model_architectures": "LlamaForCausalLM" }, { "description": "A fast LSTM Language Model for large vocabulary language like Japanese and Chinese", @@ -2474,7 +2511,7 @@ "project_name": "JLM", "stargazers_count": 109, "source": "GitHub", - "score": -0.01996128971470882, + "score": -0.017800016534008773, "first_commit": "2018-01-10 14:12:41", "latest_commit": "2019-06-04 21:35:33", "languages": [ @@ -2488,7 +2525,7 @@ "project_name": "t5-japanese", "stargazers_count": 109, "source": "GitHub", - "score": -0.01996128971470882, + "score": -0.017800016534008773, "first_commit": "2021-03-28 22:12:19", "latest_commit": "2023-07-20 21:36:10", "languages": [ @@ -2502,7 +2539,7 @@ "project_name": "tdmelodic", "stargazers_count": 109, "source": "GitHub", - "score": -0.01996128971470882, + "score": -0.017800016534008773, "first_commit": "2020-09-14 18:12:46", "latest_commit": "2024-03-22 01:44:10", "languages": [ @@ -2511,30 +2548,46 @@ "model_or_dataset": "dataset" }, { - "description": "transformers-ud-japanese-electra-ginza-510 (sudachitra-wordpiece, mC4 Japanese)", - "url": "https://huggingface.co./megagonlabs/transformers-ud-japanese-electra-base-ginza-510", - "project_name": "transformers-ud-japanese-electra-base-ginza-510", - "downloads": 5831, + "description": "BERT large Japanese (unidic-lite with whole word masking, CC-100 and jawiki-20230102)", + "url": "https://huggingface.co./tohoku-nlp/bert-large-japanese-v2", + "project_name": "bert-large-japanese-v2", + "downloads": 6099, "source": "Hugging Face", - "score": -0.020578352354621066, - "first_commit": "2021-12-05 11:31:57", - "latest_commit": "2021-12-05 21:12:12", + "score": -0.018622332997169703, + "first_commit": "2023-05-19 00:40:35", + "latest_commit": "2023-05-19 00:47:40", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "BertForPreTraining" }, { "description": "Model Card for Japanese character-level DeBERTa V2 large Model description This is a Japanese DeBERTa V2 large model pre-trained on Japanese Wikipedia, the Japanese portion of CC-100, and the Japanese portion of OSCAR.", "url": "https://huggingface.co./ku-nlp/deberta-v2-large-japanese-char-wwm", "project_name": "deberta-v2-large-japanese-char-wwm", - "downloads": 5715, + "downloads": 6006, "source": "Hugging Face", - "score": -0.022324124735182586, + "score": -0.02008348916973189, "first_commit": "2023-03-09 10:13:05", "latest_commit": "2023-09-15 03:48:28", "languages": [], "model_or_dataset": "model", - "model_size": 0.33 + "model_size": 0.33, + "model_architectures": "DebertaV2ForMaskedLM" + }, + { + "description": "japanese-roberta-base This repository provides a base-sized Japanese RoBERTa model.", + "url": "https://huggingface.co./rinna/japanese-roberta-base", + "project_name": "japanese-roberta-base", + "downloads": 5991, + "source": "Hugging Face", + "score": -0.02031915952014515, + "first_commit": "2021-06-11 02:56:39", + "latest_commit": "2024-07-20 07:44:40", + "languages": [], + "model_or_dataset": "model", + "model_size": 0.111, + "model_architectures": "RobertaForMaskedLM" }, { "description": "Yet Another Japanese Dependency Structure Analyzer", @@ -2542,7 +2595,7 @@ "project_name": "cabocha", "stargazers_count": 108, "source": "GitHub", - "score": -0.022884330212431112, + "score": -0.020731558546606563, "first_commit": "2011-07-29 04:08:14", "latest_commit": "2020-07-24 11:31:47", "languages": [ @@ -2561,7 +2614,7 @@ "project_name": "ja.text8", "stargazers_count": 108, "source": "GitHub", - "score": -0.022884330212431112, + "score": -0.020731558546606563, "first_commit": "2017-10-04 13:15:25", "latest_commit": "2017-10-04 13:38:23", "languages": [ @@ -2570,30 +2623,32 @@ "model_or_dataset": "dataset" }, { - "description": "bert-finetuned-japanese-sentiment This model is a fine-tuned version of cl-tohoku/bert-base-japanese-v2 on product amazon reviews japanese dataset.", - "url": "https://huggingface.co./christian-phu/bert-finetuned-japanese-sentiment", - "project_name": "bert-finetuned-japanese-sentiment", - "downloads": 5576, + "description": "【告知】chilled_remix及びreversemixは2023年5月21日にVersion変更を行い、v2へ移行いたしました。", + "url": "https://huggingface.co./sazyou-roukaku/chilled_remix", + "project_name": "chilled_remix", + "downloads": 5948, "source": "Hugging Face", - "score": -0.02441604163947613, - "first_commit": "2023-04-06 16:43:51", - "latest_commit": "2023-04-07 17:27:53", + "score": -0.020994747857996484, + "first_commit": "2023-04-18 12:48:48", + "latest_commit": "2023-06-09 23:08:31", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": null }, { - "description": "Llama-3-ELYZA-JP-8B-GGUF Model Description Llama-3-ELYZA-JP-8B is a large language model trained by ELYZA, Inc.", - "url": "https://huggingface.co./elyza/Llama-3-ELYZA-JP-8B-GGUF", - "project_name": "Llama-3-ELYZA-JP-8B-GGUF", - "downloads": 5378, + "description": "transformers-ud-japanese-electra-ginza-510 (sudachitra-wordpiece, mC4 Japanese)", + "url": "https://huggingface.co./megagonlabs/transformers-ud-japanese-electra-base-ginza-510", + "project_name": "transformers-ud-japanese-electra-base-ginza-510", + "downloads": 5838, "source": "Hugging Face", - "score": -0.02739589449595183, - "first_commit": "2024-06-25 07:29:22", - "latest_commit": "2024-06-26 02:56:52", + "score": -0.022722997094360365, + "first_commit": "2021-12-05 11:31:57", + "latest_commit": "2021-12-05 21:12:12", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": null, + "model_architectures": "ElectraModel" }, { "description": "JaQuAD: Japanese Question Answering Dataset for Machine Reading Comprehension (2022, Skelter Labs)", @@ -2601,7 +2656,7 @@ "project_name": "JaQuAD", "stargazers_count": 106, "source": "GitHub", - "score": -0.028730411207875697, + "score": -0.026594642571802135, "first_commit": "2022-01-11 16:58:07", "latest_commit": "2022-02-04 11:42:51", "languages": [ @@ -2615,7 +2670,7 @@ "project_name": "node-mecab-ya", "stargazers_count": 105, "source": "GitHub", - "score": -0.03165345170559799, + "score": -0.02952618458439992, "first_commit": "2016-04-09 23:34:34", "latest_commit": "2021-06-18 18:30:43", "languages": [ @@ -2624,69 +2679,32 @@ "model_or_dataset": null }, { - "description": "japanese-gpt2-medium This repository provides a medium-sized Japanese GPT-2 model.", - "url": "https://huggingface.co./rinna/japanese-gpt2-medium", - "project_name": "japanese-gpt2-medium", - "downloads": 4958, - "source": "Hugging Face", - "score": -0.03371679449453664, - "first_commit": "2021-04-05 02:01:26", - "latest_commit": "2024-07-20 07:50:47", - "languages": [], - "model_or_dataset": "model", - "model_size": 0.361 - }, - { - "description": "BERT large Japanese (unidic-lite with whole word masking, CC-100 and jawiki-20230102)", - "url": "https://huggingface.co./tohoku-nlp/bert-large-japanese-v2", - "project_name": "bert-large-japanese-v2", - "downloads": 4914, - "source": "Hugging Face", - "score": -0.03437898401819791, - "first_commit": "2023-05-19 00:40:35", - "latest_commit": "2023-05-19 00:47:40", - "languages": [], - "model_or_dataset": "model", - "model_size": null - }, - { - "description": "Llama-3.1-8B-Instruct-gguf meta-llamaさんが公開しているMeta-Llama-3.1-8B-Instructのggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/Llama-3.1-8B-Instruct-gguf", - "project_name": "Llama-3.1-8B-Instruct-gguf", - "downloads": 4674, - "source": "Hugging Face", - "score": -0.03799092687453209, - "first_commit": "2024-07-23 16:33:06", - "latest_commit": "2024-07-24 21:04:40", - "languages": [], - "model_or_dataset": "model", - "model_size": 8.03 - }, - { - "description": "OpenCALM-7B Model Description OpenCALM is a suite of decoder-only language models pre-trained on Japanese datasets, developed by", - "url": "https://huggingface.co./cyberagent/open-calm-7b", - "project_name": "open-calm-7b", - "downloads": 4649, + "description": "ELYZA-japanese-Llama-2-13b-fast-instruct-GGUF Original Model elyza/ELYZA-japanese-Llama-2-13b-fast-instruct Run with LlamaEdge LlamaEdge version: v0.2.8 and above Prompt template Prompt type: llama-2-chat Prompt string <s>[INST] <<SYS>> {{ system_prompt }} <</SYS>> {{ user_msg_1 }}", + "url": "https://huggingface.co./second-state/ELYZA-japanese-Llama-2-13b-fast-instruct-GGUF", + "project_name": "ELYZA-japanese-Llama-2-13b-fast-instruct-GGUF", + "downloads": 5032, "source": "Hugging Face", - "score": -0.038367170922066894, - "first_commit": "2023-05-15 07:53:34", - "latest_commit": "2023-05-18 01:12:08", + "score": -0.03538635058989934, + "first_commit": "2024-01-06 03:33:53", + "latest_commit": "2024-03-20 07:21:25", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 13.1, + "model_architectures": "LlamaForCausalLM" }, { - "description": "bert-large-japanese-upos Model Description", - "url": "https://huggingface.co./KoichiYasuoka/bert-large-japanese-upos", - "project_name": "bert-large-japanese-upos", - "downloads": 4539, + "description": "japanese-gpt2-medium This repository provides a medium-sized Japanese GPT-2 model.", + "url": "https://huggingface.co./rinna/japanese-gpt2-medium", + "project_name": "japanese-gpt2-medium", + "downloads": 4942, "source": "Hugging Face", - "score": -0.04002264473122006, - "first_commit": "2021-08-19 10:39:38", - "latest_commit": "2022-09-18 19:43:53", + "score": -0.03680037269237888, + "first_commit": "2021-04-05 02:01:26", + "latest_commit": "2024-07-20 07:50:47", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.361, + "model_architectures": "GPT2LMHeadModel" }, { "description": "An example usage of JParaCrawl pre-trained Neural Machine Translation (NMT) models.", @@ -2694,7 +2712,7 @@ "project_name": "jparacrawl-finetune", "stargazers_count": 102, "source": "GitHub", - "score": -0.04042257319876487, + "score": -0.03832081062219329, "first_commit": "2019-11-17 14:46:58", "latest_commit": "2021-04-29 14:27:00", "languages": [ @@ -2708,7 +2726,7 @@ "project_name": "Kamite", "stargazers_count": 102, "source": "GitHub", - "score": -0.04042257319876487, + "score": -0.03832081062219329, "first_commit": "2022-07-08 19:26:15", "latest_commit": "2024-02-22 23:41:52", "languages": [ @@ -2727,7 +2745,7 @@ "project_name": "house-of-councillors", "stargazers_count": 102, "source": "GitHub", - "score": -0.04042257319876487, + "score": -0.03832081062219329, "first_commit": "2022-06-16 16:06:39", "latest_commit": "2024-08-15 14:22:06", "languages": [ @@ -2737,56 +2755,74 @@ "model_or_dataset": "dataset" }, { - "description": "Llama-3-8B-Japanese-Instruct-GGUF Original Model haqishen/Llama-3-8B-Japanese-Instruct Run with LlamaEdge LlamaEdge version: v0.10.1 and above Prompt template Prompt type: llama-3-chat Prompt string <|begin_of_text|><|start_header_id|>system<|end_header_id|> {{ system_prompt }}<|eot_id|><|start_header_id|>user<|end_header_id|> {{ user_message_1 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|> {{ model_answer_1 }}<|eot_id|><|start_header", - "url": "https://huggingface.co./second-state/Llama-3-8B-Japanese-Instruct-GGUF", - "project_name": "Llama-3-8B-Japanese-Instruct-GGUF", - "downloads": 4455, + "description": "reazonspeech-nemo-v2 reazonspeech-nemo-v2 is an automatic speech recognition model trained on ReazonSpeech v2.0 corpus.", + "url": "https://huggingface.co./reazon-research/reazonspeech-nemo-v2", + "project_name": "reazonspeech-nemo-v2", + "downloads": 4818, "source": "Hugging Face", - "score": -0.041286824730937026, - "first_commit": "2024-05-14 05:37:53", - "latest_commit": "2024-05-14 06:42:38", + "score": -0.0387485809224618, + "first_commit": "2024-01-30 01:49:12", + "latest_commit": "2024-02-14 01:32:45", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": null, + "model_architectures": null }, { - "description": "ELYZA-japanese-Llama-2-13b Model Description ELYZA-japanese-Llama-2-13b は、 Llama 2をベースとして日本語能力を拡張するために追加事前学習を行ったモデルです。", - "url": "https://huggingface.co./elyza/ELYZA-japanese-Llama-2-13b-instruct", - "project_name": "ELYZA-japanese-Llama-2-13b-instruct", - "downloads": 4376, + "description": "OpenCALM-7B Model Description OpenCALM is a suite of decoder-only language models pre-trained on Japanese datasets, developed by", + "url": "https://huggingface.co./cyberagent/open-calm-7b", + "project_name": "open-calm-7b", + "downloads": 4766, "source": "Hugging Face", - "score": -0.042475755921147024, - "first_commit": "2023-12-25 16:10:32", - "latest_commit": "2023-12-27 01:41:15", + "score": -0.03956557147056109, + "first_commit": "2023-05-15 07:53:34", + "latest_commit": "2023-05-18 01:12:08", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "GPTNeoXForCausalLM" }, { - "description": "ELYZA-japanese-Llama-2-13b-fast-instruct-GGUF Original Model elyza/ELYZA-japanese-Llama-2-13b-fast-instruct Run with LlamaEdge LlamaEdge version: v0.2.8 and above Prompt template Prompt type: llama-2-chat Prompt string <s>[INST] <<SYS>> {{ system_prompt }} <</SYS>> {{ user_msg_1 }}", - "url": "https://huggingface.co./second-state/ELYZA-japanese-Llama-2-13b-fast-instruct-GGUF", - "project_name": "ELYZA-japanese-Llama-2-13b-fast-instruct-GGUF", - "downloads": 4337, + "description": "自動生成のマルチターンデータセット オープンなデータソースから､Calm3-22bを使ってQ&Aを自動生成したものです｡ 一部の計算には東京工業大学のスーパーコンピュータTSUBAME4.0を利用しました｡ データソース はじめの質問(q1)を､種々のデータソースから収集しました｡その後のやりとりはすべて､Calmが生成しました｡質問文については､元データのライセンスに準拠します｡ oasst2-33k-ja apache 2.0 databricks-dolly-15k-ja cc-by-sa-3.0 minnade CC0 cyberagent/chatbot-arena-ja-calm2-7b-chat-experimental cc-by-4.0", + "url": "https://huggingface.co./datasets/kanhatakeyama/AutoMultiTurnByCalm3-22B", + "project_name": "AutoMultiTurnByCalm3-22B", + "downloads": 4734, "source": "Hugging Face", - "score": -0.04306269663530133, - "first_commit": "2024-01-06 03:33:53", - "latest_commit": "2024-03-20 07:21:25", + "score": -0.040068334884776034, + "first_commit": "2024-07-17 09:53:20", + "latest_commit": "2024-07-17 10:03:02", + "languages": [], + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null + }, + { + "description": "DeBERTa V2 small Japanese This is a DeBERTaV2 model pretrained on Japanese texts.", + "url": "https://huggingface.co./izumi-lab/deberta-v2-small-japanese", + "project_name": "deberta-v2-small-japanese", + "downloads": 4703, + "source": "Hugging Face", + "score": -0.04055538694229677, + "first_commit": "2023-10-21 13:24:28", + "latest_commit": "2024-07-19 03:08:14", "languages": [], "model_or_dataset": "model", - "model_size": 13.1 + "model_size": null, + "model_architectures": "DebertaV2ForMaskedLM" }, { - "description": "Llama-3.1-70B-Japanese-Instruct-2407 Model Description This is a Japanese continually pre-trained model based on meta-llama/Meta-Llama-3.1-70B-Instruct.", - "url": "https://huggingface.co./cyberagent/Llama-3.1-70B-Japanese-Instruct-2407", - "project_name": "Llama-3.1-70B-Japanese-Instruct-2407", - "downloads": 4323, + "description": "japanese-gpt-neox-3.6b Overview This repository provides a Japanese GPT-NeoX model of 3.6 billion parameters.", + "url": "https://huggingface.co./rinna/japanese-gpt-neox-3.6b", + "project_name": "japanese-gpt-neox-3.6b", + "downloads": 4681, "source": "Hugging Face", - "score": -0.04327339330192082, - "first_commit": "2024-07-26 01:30:21", - "latest_commit": "2024-07-26 02:30:17", + "score": -0.04090103678956954, + "first_commit": "2023-05-17 02:16:45", + "latest_commit": "2024-07-20 07:55:19", "languages": [], "model_or_dataset": "model", - "model_size": 70.6 + "model_size": 3.76, + "model_architectures": "GPTNeoXForCausalLM" }, { "description": "CJK computer science terms comparison / 中日韓電腦科學術語對照 / 日中韓のコンピュータ科学の用語対照 / 한·중·일 전산학 용어 대조", @@ -2794,7 +2830,7 @@ "project_name": "cjk-compsci-terms", "stargazers_count": 101, "source": "GitHub", - "score": -0.04334561369648716, + "score": -0.04125235263479107, "first_commit": "2020-12-19 06:11:14", "latest_commit": "2022-09-16 01:27:59", "languages": [ @@ -2809,7 +2845,7 @@ "project_name": "JapaneseWordSimilarityDataset", "stargazers_count": 101, "source": "GitHub", - "score": -0.04334561369648716, + "score": -0.04125235263479107, "first_commit": "2016-01-08 16:25:16", "latest_commit": "2021-12-07 12:22:07", "languages": [ @@ -2823,76 +2859,81 @@ "project_name": "japanese-pitch-accent-resources", "stargazers_count": 101, "source": "GitHub", - "score": -0.04334561369648716, + "score": -0.04125235263479107, "first_commit": "2018-03-03 15:51:09", "latest_commit": "2024-02-11 00:55:27", "languages": [], "model_or_dataset": null }, { - "description": "Llama3 Swallow", - "url": "https://huggingface.co./tokyotech-llm/Llama-3-Swallow-70B-v0.1", - "project_name": "Llama-3-Swallow-70B-v0.1", - "downloads": 4296, + "description": "bert-large-japanese-upos Model Description", + "url": "https://huggingface.co./KoichiYasuoka/bert-large-japanese-upos", + "project_name": "bert-large-japanese-upos", + "downloads": 4651, "source": "Hugging Face", - "score": -0.043679736873258414, - "first_commit": "2024-06-14 05:56:33", - "latest_commit": "2024-07-01 06:24:32", + "score": -0.04137237749039605, + "first_commit": "2021-08-19 10:39:38", + "latest_commit": "2022-09-18 19:43:53", "languages": [], "model_or_dataset": "model", - "model_size": 70.6 + "model_size": null, + "model_architectures": "BertForTokenClassification" }, { - "description": "reazonspeech-nemo-v2 reazonspeech-nemo-v2 is an automatic speech recognition model trained on ReazonSpeech v2.0 corpus.", - "url": "https://huggingface.co./reazon-research/reazonspeech-nemo-v2", - "project_name": "reazonspeech-nemo-v2", - "downloads": 4190, + "description": "Llama-3-ELYZA-JP-8B-GGUF Model Description Llama-3-ELYZA-JP-8B is a large language model trained by ELYZA, Inc.", + "url": "https://huggingface.co./elyza/Llama-3-ELYZA-JP-8B-GGUF", + "project_name": "Llama-3-ELYZA-JP-8B-GGUF", + "downloads": 4549, "source": "Hugging Face", - "score": -0.04527501163480601, - "first_commit": "2024-01-30 01:49:12", - "latest_commit": "2024-02-14 01:32:45", + "score": -0.0429749358732062, + "first_commit": "2024-06-25 07:29:22", + "latest_commit": "2024-06-26 02:56:52", + "languages": [], + "model_or_dataset": "model", + "model_size": 8.03, + "model_architectures": null + }, + { + "description": "Llama-3-8B-Japanese-Instruct-GGUF Original Model haqishen/Llama-3-8B-Japanese-Instruct Run with LlamaEdge LlamaEdge version: v0.10.1 and above Prompt template Prompt type: llama-3-chat Prompt string <|begin_of_text|><|start_header_id|>system<|end_header_id|> {{ system_prompt }}<|eot_id|><|start_header_id|>user<|end_header_id|> {{ user_message_1 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|> {{ model_answer_1 }}<|eot_id|><|start_header", + "url": "https://huggingface.co./second-state/Llama-3-8B-Japanese-Instruct-GGUF", + "project_name": "Llama-3-8B-Japanese-Instruct-GGUF", + "downloads": 4398, + "source": "Hugging Face", + "score": -0.04534735073403298, + "first_commit": "2024-05-14 05:37:53", + "latest_commit": "2024-05-14 06:42:38", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 8.03, + "model_architectures": null }, { "description": "ELYZA-japanese-Llama-2-7b Model Description ELYZA-japanese-Llama-2-7b は、 Llama2をベースとして日本語能力を拡張するために追加事前学習を行ったモデルです。 ", "url": "https://huggingface.co./elyza/ELYZA-japanese-Llama-2-7b", "project_name": "ELYZA-japanese-Llama-2-7b", - "downloads": 4153, + "downloads": 4302, "source": "Hugging Face", - "score": -0.04583185282515753, + "score": -0.04685564097667782, "first_commit": "2023-08-28 12:38:34", "latest_commit": "2023-08-29 03:45:51", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "LlamaForCausalLM" }, { "description": "RetrievaBERT Model The RetrievaBERT is the pre-trained Transformer Encoder using Megatron-LM.", "url": "https://huggingface.co./retrieva-jp/bert-1.3b", "project_name": "bert-1.3b", - "downloads": 4106, + "downloads": 4137, "source": "Hugging Face", - "score": -0.046539191634522976, + "score": -0.04944801483122364, "first_commit": "2024-06-25 06:18:24", "latest_commit": "2024-07-09 05:36:08", "languages": [], "model_or_dataset": "model", - "model_size": 1.3 - }, - { - "description": "PLaMo-13B Model Description PLaMo-13B is a LLaMA-based 13B model pre-trained on English and Japanese open datasets, developed by Preferred Networks, Inc. ", - "url": "https://huggingface.co./pfnet/plamo-13b", - "project_name": "plamo-13b", - "downloads": 3905, - "source": "Hugging Face", - "score": -0.04956419377670285, - "first_commit": "2023-09-25 12:47:05", - "latest_commit": "2023-10-10 15:24:54", - "languages": [], - "model_or_dataset": "model", - "model_size": 13.1 + "model_size": 1.3, + "model_architectures": "RetrievaBertForMaskedLM" }, { "description": "Asynchronous japanese morphological analyser using MeCab.", @@ -2900,7 +2941,7 @@ "project_name": "node-mecab-async", "stargazers_count": 98, "source": "GitHub", - "score": -0.05211473518965404, + "score": -0.05004697867258443, "first_commit": "2012-10-29 09:32:49", "latest_commit": "2017-10-29 14:56:11", "languages": [ @@ -2914,7 +2955,7 @@ "project_name": "jiten", "stargazers_count": 98, "source": "GitHub", - "score": -0.05211473518965404, + "score": -0.05004697867258443, "first_commit": "2020-06-15 02:09:21", "latest_commit": "2023-12-16 23:43:06", "languages": [ @@ -2925,134 +2966,116 @@ "model_or_dataset": "dataset" }, { - "description": "AIBunCho/japanese-novel-gpt-j-6b AI BunChoさんが公開しているjapanese-novel-gpt-j-6bのgguf変換版です。 ", - "url": "https://huggingface.co./mmnga/aibuncho-japanese-novel-gpt-j-6b-gguf", - "project_name": "aibuncho-japanese-novel-gpt-j-6b-gguf", - "downloads": 3665, + "description": "Llama 3 Youko 8B (rinna/llama-3-youko-8b)", + "url": "https://huggingface.co./rinna/llama-3-youko-8b", + "project_name": "llama-3-youko-8b", + "downloads": 4045, "source": "Hugging Face", - "score": -0.053176136633037024, - "first_commit": "2023-09-03 17:32:44", - "latest_commit": "2023-09-11 01:10:36", + "score": -0.05089345964709161, + "first_commit": "2024-05-01 07:53:46", + "latest_commit": "2024-07-25 05:14:42", "languages": [], "model_or_dataset": "model", - "model_size": 6.05 + "model_size": 8.03, + "model_architectures": "LlamaForCausalLM" }, { - "description": "Swallow Our Swallow model has undergone continual pre-training from the Llama 2 family, primarily with the addition of Japanese language data.", - "url": "https://huggingface.co./tokyotech-llm/Swallow-13b-instruct-hf", - "project_name": "Swallow-13b-instruct-hf", - "downloads": 3639, + "description": "ELYZA-japanese-Llama-2-13b Model Description ELYZA-japanese-Llama-2-13b は、 Llama 2をベースとして日本語能力を拡張するために追加事前学習を行ったモデルです。", + "url": "https://huggingface.co./elyza/ELYZA-japanese-Llama-2-13b-instruct", + "project_name": "ELYZA-japanese-Llama-2-13b-instruct", + "downloads": 4019, "source": "Hugging Face", - "score": -0.05356743044247323, - "first_commit": "2023-12-07 03:10:55", - "latest_commit": "2024-06-29 08:56:29", + "score": -0.05130195492114126, + "first_commit": "2023-12-25 16:10:32", + "latest_commit": "2023-12-27 01:41:15", "languages": [], "model_or_dataset": "model", - "model_size": 13.1 + "model_size": null, + "model_architectures": "LlamaForCausalLM" }, { - "description": "Kotoba-Whisper-v1.1 Kotoba-Whisper-v1.1 is a Japanese ASR model based on kotoba-tech/kotoba-whisper-v1.0, with additional postprocessing stacks integrated as pipeline.", - "url": "https://huggingface.co./kotoba-tech/kotoba-whisper-v1.1", - "project_name": "kotoba-whisper-v1.1", - "downloads": 3590, + "description": "This is a dataset collection of JMedBench, which is a benchmark for evaluating Japanese biomedical large language models (LLMs).", + "url": "https://huggingface.co./datasets/Coldog2333/JMedBench", + "project_name": "JMedBench", + "downloads": 4006, "source": "Hugging Face", - "score": -0.05430486877564146, - "first_commit": "2024-04-29 14:53:48", - "latest_commit": "2024-05-08 15:34:40", + "score": -0.05150620255816608, + "first_commit": "2024-08-17 11:12:54", + "latest_commit": "2024-09-01 12:41:40", "languages": [], - "model_or_dataset": "model", - "model_size": 0.756 + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null }, { - "description": "Llama 3 Youko 8B (rinna/llama-3-youko-8b)", - "url": "https://huggingface.co./rinna/llama-3-youko-8b", - "project_name": "llama-3-youko-8b", - "downloads": 3581, + "description": "Swallow Our Swallow model has undergone continual pre-training from the Llama 2 family, primarily with the addition of Japanese language data.", + "url": "https://huggingface.co./tokyotech-llm/Swallow-13b-instruct-hf", + "project_name": "Swallow-13b-instruct-hf", + "downloads": 3681, "source": "Hugging Face", - "score": -0.05444031663275399, - "first_commit": "2024-05-01 07:53:46", - "latest_commit": "2024-07-25 05:14:42", + "score": -0.05661239348378663, + "first_commit": "2023-12-07 03:10:55", + "latest_commit": "2024-06-29 08:56:29", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": 13.1, + "model_architectures": "LlamaForCausalLM" }, { "description": "Swallow Our Swallow model has undergone continual pre-training from the Llama 2 family, primarily with the addition of Japanese language data.", "url": "https://huggingface.co./tokyotech-llm/Swallow-7b-hf", "project_name": "Swallow-7b-hf", - "downloads": 3398, + "downloads": 3569, "source": "Hugging Face", - "score": -0.0571944230607088, + "score": -0.05837206543353895, "first_commit": "2023-11-25 10:09:49", "latest_commit": "2024-06-29 08:56:17", "languages": [], "model_or_dataset": "model", - "model_size": 6.83 - }, - { - "description": "Model Card for Model ID 実験モデルです /", - "url": "https://huggingface.co./mmnga/Llama-3-70B-japanese-suzume-vector-v0.1", - "project_name": "Llama-3-70B-japanese-suzume-vector-v0.1", - "downloads": 3249, - "source": "Hugging Face", - "score": -0.05943683758401627, - "first_commit": "2024-04-28 04:11:49", - "latest_commit": "2024-04-28 07:46:32", - "languages": [], - "model_or_dataset": "model", - "model_size": 70.6 - }, - { - "description": "Japanese SimCSE (BERT-base)", - "url": "https://huggingface.co./pkshatech/simcse-ja-bert-base-clcmlp", - "project_name": "simcse-ja-bert-base-clcmlp", - "downloads": 3218, - "source": "Hugging Face", - "score": -0.05990338020295943, - "first_commit": "2022-12-26 02:52:03", - "latest_commit": "2023-01-27 06:44:23", - "languages": [], - "model_or_dataset": "model", - "model_size": null + "model_size": 6.83, + "model_architectures": "LlamaForCausalLM" }, { - "description": "Model Card for Japanese DeBERTa V3 base Model description This is a Japanese DeBERTa V3 base model pre-trained on LLM-jp corpus v1.0.", - "url": "https://huggingface.co./ku-nlp/deberta-v3-base-japanese", - "project_name": "deberta-v3-base-japanese", - "downloads": 3109, + "description": "Kotoba-Whisper-v1.1 Kotoba-Whisper-v1.1 is a Japanese ASR model based on kotoba-tech/kotoba-whisper-v1.0, with additional postprocessing stacks integrated as pipeline.", + "url": "https://huggingface.co./kotoba-tech/kotoba-whisper-v1.1", + "project_name": "kotoba-whisper-v1.1", + "downloads": 3546, "source": "Hugging Face", - "score": -0.061543804250211206, - "first_commit": "2024-04-23 05:08:21", - "latest_commit": "2024-04-28 06:08:55", + "score": -0.05873342663750594, + "first_commit": "2024-04-29 14:53:48", + "latest_commit": "2024-05-08 15:34:40", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.756, + "model_architectures": "WhisperForConditionalGeneration" }, { - "description": "OpenCALM-Small Model Description OpenCALM is a suite of decoder-only language models pre-trained on Japanese datasets, developed by", - "url": "https://huggingface.co./cyberagent/open-calm-small", - "project_name": "open-calm-small", - "downloads": 3082, + "description": "AIBunCho/japanese-novel-gpt-j-6b AI BunChoさんが公開しているjapanese-novel-gpt-j-6bのgguf変換版です。 ", + "url": "https://huggingface.co./mmnga/aibuncho-japanese-novel-gpt-j-6b-gguf", + "project_name": "aibuncho-japanese-novel-gpt-j-6b-gguf", + "downloads": 3388, "source": "Hugging Face", - "score": -0.061950147821548805, - "first_commit": "2023-05-15 06:40:15", - "latest_commit": "2023-05-18 01:10:33", + "score": -0.061215820995192245, + "first_commit": "2023-09-03 17:32:44", + "latest_commit": "2023-09-11 01:10:36", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 6.05, + "model_architectures": null }, { - "description": "Llama-3-Swallow-70B-Instruct-v0.1-gguf tokyotech-llmさんが公開しているLlama-3-Swallow-70B-Instruct-v0.1のggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/Llama-3-Swallow-70B-Instruct-v0.1-gguf", - "project_name": "Llama-3-Swallow-70B-Instruct-v0.1-gguf", - "downloads": 2973, + "description": "rinna/youri-7b Overview We conduct continual pre-training of llama2-7b on 40B tokens from a mixture of Japanese and English datasets.", + "url": "https://huggingface.co./rinna/youri-7b", + "project_name": "youri-7b", + "downloads": 3359, "source": "Hugging Face", - "score": -0.06359057186880057, - "first_commit": "2024-07-01 14:21:29", - "latest_commit": "2024-07-07 05:04:16", + "score": -0.061671450339324536, + "first_commit": "2023-10-30 15:12:17", + "latest_commit": "2024-07-22 08:01:22", "languages": [], "model_or_dataset": "model", - "model_size": 70.6 + "model_size": 6.74, + "model_architectures": "LlamaForCausalLM" }, { "description": "Japanese Company Lexicon (JCLdic)", @@ -3060,7 +3083,7 @@ "project_name": "Japanese-Company-Lexicon", "stargazers_count": 94, "source": "GitHub", - "score": -0.0638068971805432, + "score": -0.061773146722975576, "first_commit": "2020-01-16 15:25:09", "latest_commit": "2023-01-21 14:50:18", "languages": [ @@ -3074,7 +3097,7 @@ "project_name": "genshin-dict", "stargazers_count": 94, "source": "GitHub", - "score": -0.0638068971805432, + "score": -0.061773146722975576, "first_commit": "2021-05-05 00:02:08", "latest_commit": "2024-07-15 16:47:41", "languages": [ @@ -3083,94 +3106,116 @@ "model_or_dataset": "dataset" }, { - "description": "ELYZA-japanese-Llama-2-7b Model Description ELYZA-japanese-Llama-2-7b は、 Llama2をベースとして日本語能力を拡張するために追加事前学習を行ったモデルです。 ", - "url": "https://huggingface.co./elyza/ELYZA-japanese-Llama-2-7b-fast-instruct", - "project_name": "ELYZA-japanese-Llama-2-7b-fast-instruct", - "downloads": 2881, + "description": "bert-base-japanese-upos Model Description", + "url": "https://huggingface.co./KoichiYasuoka/bert-base-japanese-upos", + "project_name": "bert-base-japanese-upos", + "downloads": 3201, "source": "Hugging Face", - "score": -0.06497514996372868, - "first_commit": "2023-08-28 13:36:19", - "latest_commit": "2023-08-29 03:47:09", + "score": -0.06415384469701084, + "first_commit": "2021-08-26 23:02:50", + "latest_commit": "2022-09-18 19:43:26", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "BertForTokenClassification" }, { - "description": "haqishen-Llama-3-8B-Japanese-Instruct-gguf haqishenさんが公開しているLlama-3-8B-Japanese-Instructのggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/haqishen-Llama-3-8B-Japanese-Instruct-gguf", - "project_name": "haqishen-Llama-3-8B-Japanese-Instruct-gguf", - "downloads": 2864, + "description": "OpenCALM-Small Model Description OpenCALM is a suite of decoder-only language models pre-trained on Japanese datasets, developed by", + "url": "https://huggingface.co./cyberagent/open-calm-small", + "project_name": "open-calm-small", + "downloads": 3178, "source": "Hugging Face", - "score": -0.06523099591605235, - "first_commit": "2024-04-23 13:55:17", - "latest_commit": "2024-04-23 14:54:23", + "score": -0.06451520590097784, + "first_commit": "2023-05-15 06:40:15", + "latest_commit": "2023-05-18 01:10:33", + "languages": [], + "model_or_dataset": "model", + "model_size": null, + "model_architectures": "GPTNeoXForCausalLM" + }, + { + "description": "Japanese Morphological Analyzer written in Rust", + "url": "https://github.com/togatoga/kanpyo", + "project_name": "kanpyo", + "stargazers_count": 93, + "source": "GitHub", + "score": -0.06470468873557336, + "first_commit": "2023-10-12 08:02:23", + "latest_commit": "2024-08-20 08:56:37", + "languages": [ + "Rust" + ], + "model_or_dataset": null + }, + { + "description": "Model Card for Model ID 実験モデルです /", + "url": "https://huggingface.co./mmnga/Llama-3-70B-japanese-suzume-vector-v0.1", + "project_name": "Llama-3-70B-japanese-suzume-vector-v0.1", + "downloads": 3165, + "source": "Hugging Face", + "score": -0.06471945353800265, + "first_commit": "2024-04-28 04:11:49", + "latest_commit": "2024-04-28 07:46:32", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": 70.6, + "model_architectures": "LlamaForCausalLM" }, { "description": "Llama3 Swallow", "url": "https://huggingface.co./tokyotech-llm/Llama-3-Swallow-70B-Instruct-v0.1", "project_name": "Llama-3-Swallow-70B-Instruct-v0.1", - "downloads": 2832, + "downloads": 3062, "source": "Hugging Face", - "score": -0.06571258829689691, + "score": -0.06633772327750702, "first_commit": "2024-06-28 16:17:32", "latest_commit": "2024-07-19 08:08:59", "languages": [], "model_or_dataset": "model", - "model_size": 70.6 + "model_size": 70.6, + "model_architectures": "LlamaForCausalLM" }, { - "description": "japanese-gpt2-xsmall", - "url": "https://huggingface.co./rinna/japanese-gpt2-xsmall", - "project_name": "japanese-gpt2-xsmall", - "downloads": 2821, + "description": "Japanese SimCSE (BERT-base)", + "url": "https://huggingface.co./pkshatech/simcse-ja-bert-base-clcmlp", + "project_name": "simcse-ja-bert-base-clcmlp", + "downloads": 3035, "source": "Hugging Face", - "score": -0.06587813567781223, - "first_commit": "2021-07-26 02:52:54", - "latest_commit": "2024-07-20 07:48:11", + "score": -0.06676192990825087, + "first_commit": "2022-12-26 02:52:03", + "latest_commit": "2023-01-27 06:44:23", "languages": [], "model_or_dataset": "model", - "model_size": 0.0437 + "model_size": null, + "model_architectures": "BertModel" }, { - "description": "rinna/japanese-hubert-base Overview This is a Japanese HuBERT Base model trained by rinna Co.", - "url": "https://huggingface.co./rinna/japanese-hubert-base", - "project_name": "japanese-hubert-base", - "downloads": 2802, + "description": "PLaMo-13B Model Description PLaMo-13B is a LLaMA-based 13B model pre-trained on English and Japanese open datasets, developed by Preferred Networks, Inc. ", + "url": "https://huggingface.co./pfnet/plamo-13b", + "project_name": "plamo-13b", + "downloads": 3004, "source": "Hugging Face", - "score": -0.06616408115393868, - "first_commit": "2023-04-28 07:39:44", - "latest_commit": "2024-07-20 08:55:38", + "score": -0.0672489819657716, + "first_commit": "2023-09-25 12:47:05", + "latest_commit": "2023-10-10 15:24:54", "languages": [], "model_or_dataset": "model", - "model_size": 0.09440000000000001 - }, - { - "description": "Japanese Morphological Analyzer written in Rust", - "url": "https://github.com/togatoga/kanpyo", - "project_name": "kanpyo", - "stargazers_count": 93, - "source": "GitHub", - "score": -0.0667299376782655, - "first_commit": null, - "latest_commit": null, - "languages": [], - "model_or_dataset": null + "model_size": 13.1, + "model_architectures": "PlamoForCausalLM" }, { - "description": "このモデルはLuke-japanese-large-liteをファインチューニングしたものです。 ", - "url": "https://huggingface.co./Mizuiro-sakura/luke-japanese-large-sentiment-analysis-wrime", - "project_name": "luke-japanese-large-sentiment-analysis-wrime", - "downloads": 2723, + "description": "Llama3 Swallow", + "url": "https://huggingface.co./tokyotech-llm/Llama-3-Swallow-70B-v0.1", + "project_name": "Llama-3-Swallow-70B-v0.1", + "downloads": 3002, "source": "Hugging Face", - "score": -0.06735301234414867, - "first_commit": "2023-03-13 12:40:08", - "latest_commit": "2023-05-15 12:58:08", + "score": -0.06728040467916004, + "first_commit": "2024-06-14 05:56:33", + "latest_commit": "2024-07-01 06:24:32", "languages": [], "model_or_dataset": "model", - "model_size": 0.41400000000000003 + "model_size": 70.6, + "model_architectures": "LlamaForCausalLM" }, { "description": "50k English-Japanese Parallel Corpus for Machine Translation Benchmark.", @@ -3178,131 +3223,55 @@ "project_name": "small_parallel_enja", "stargazers_count": 92, "source": "GitHub", - "score": -0.0696529781759878, + "score": -0.06763623074817116, "first_commit": "2016-10-27 12:27:03", "latest_commit": "2019-09-11 14:00:17", "languages": [], "model_or_dataset": "dataset" }, { - "description": "Llama-3-ELYZA-JP-8B-AWQ Model Description Llama-3-ELYZA-JP-8B is a large language model trained by ELYZA, Inc.", - "url": "https://huggingface.co./elyza/Llama-3-ELYZA-JP-8B-AWQ", - "project_name": "Llama-3-ELYZA-JP-8B-AWQ", - "downloads": 2556, + "description": "Japanese-StableLM-Base-Beta-7B A cute robot wearing a kimono writes calligraphy with one single brush — Stable Diffusion XL Model Description japanese-stablelm-base-beta-7b is a 7B-parameter decoder-only language model based on Llama-2-7b that has been fine-tuned on a diverse collection of Japanese data, with the intent of maximizing downstream performance on Japanese language tasks.", + "url": "https://huggingface.co./stabilityai/japanese-stablelm-base-beta-7b", + "project_name": "japanese-stablelm-base-beta-7b", + "downloads": 2959, "source": "Hugging Face", - "score": -0.06986632258168121, - "first_commit": "2024-06-25 04:31:31", - "latest_commit": "2024-06-26 02:56:39", + "score": -0.06795599301701137, + "first_commit": "2023-10-30 07:43:36", + "latest_commit": "2023-12-19 06:43:01", "languages": [], "model_or_dataset": "model", - "model_size": 1.98 + "model_size": 6.74, + "model_architectures": "LlamaForCausalLM" }, { - "description": "bert-base-japanese-upos Model Description", - "url": "https://huggingface.co./KoichiYasuoka/bert-base-japanese-upos", - "project_name": "bert-base-japanese-upos", - "downloads": 2490, + "description": "このモデルはLuke-japanese-large-liteをファインチューニングしたものです。 ", + "url": "https://huggingface.co./Mizuiro-sakura/luke-japanese-large-sentiment-analysis-wrime", + "project_name": "luke-japanese-large-sentiment-analysis-wrime", + "downloads": 2928, "source": "Hugging Face", - "score": -0.07085960686717312, - "first_commit": "2021-08-26 23:02:50", - "latest_commit": "2022-09-18 19:43:26", + "score": -0.06844304507453211, + "first_commit": "2023-03-13 12:40:08", + "latest_commit": "2023-05-15 12:58:08", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.41400000000000003, + "model_architectures": "LukeForSequenceClassification" }, { - "description": "Gemma-Mling: Multilingual Gemma Update @ 2024.04.15: First release of Gemma-Mling 7B model Original Gemma Model Page:", - "url": "https://huggingface.co./beomi/gemma-mling-7b", - "project_name": "gemma-mling-7b", - "downloads": 2488, - "source": "Hugging Face", - "score": -0.0708897063909759, - "first_commit": "2024-04-15 05:37:05", - "latest_commit": "2024-04-18 14:28:20", - "languages": [], - "model_or_dataset": "model", - "model_size": 8.54 - }, - { - "description": "Llama-3.1-8B-EZO-1.1-it-gguf HODACHIさんが公開しているLlama-3.1-8B-EZO-1.1-itのggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/Llama-3.1-8B-EZO-1.1-it-gguf", - "project_name": "Llama-3.1-8B-EZO-1.1-it-gguf", - "downloads": 2481, - "source": "Hugging Face", - "score": -0.07099505472428565, - "first_commit": "2024-07-31 11:06:36", - "latest_commit": "2024-07-31 12:47:45", - "languages": [], - "model_or_dataset": "model", - "model_size": 8.03 - }, - { - "description": "Fish Speech V1.2 Fish Speech V1.2 is a leading text-to-speech (TTS) model trained on 300k hours of English, Chinese, and Japanese audio data.", - "url": "https://huggingface.co./fishaudio/fish-speech-1.2-sft", - "project_name": "fish-speech-1.2-sft", - "downloads": 2443, - "source": "Hugging Face", - "score": -0.07156694567653855, - "first_commit": "2024-07-18 08:00:29", - "latest_commit": "2024-08-02 08:13:06", - "languages": [], - "model_or_dataset": "model", - "model_size": null - }, - { - "description": "HODACHI-EZO-Common-9B-gemma-2-it-gguf HODACHIさんが公開しているEZO-Common-9B-gemma-2-itのggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/HODACHI-EZO-Common-9B-gemma-2-it-gguf", - "project_name": "HODACHI-EZO-Common-9B-gemma-2-it-gguf", - "downloads": 2441, - "source": "Hugging Face", - "score": -0.07159704520034134, - "first_commit": "2024-07-15 15:42:39", - "latest_commit": "2024-07-15 16:20:33", - "languages": [], - "model_or_dataset": "model", - "model_size": 9.24 - }, - { - "description": "Japanese-StableLM-Base-Beta-7B A cute robot wearing a kimono writes calligraphy with one single brush — Stable Diffusion XL Model Description japanese-stablelm-base-beta-7b is a 7B-parameter decoder-only language model based on Llama-2-7b that has been fine-tuned on a diverse collection of Japanese data, with the intent of maximizing downstream performance on Japanese language tasks.", - "url": "https://huggingface.co./stabilityai/japanese-stablelm-base-beta-7b", - "project_name": "japanese-stablelm-base-beta-7b", - "downloads": 2428, - "source": "Hugging Face", - "score": -0.07179269210505944, - "first_commit": "2023-10-30 07:43:36", - "latest_commit": "2023-12-19 06:43:01", - "languages": [], - "model_or_dataset": "model", - "model_size": 6.74 - }, - { - "description": "BERTによる日本語固有表現抽出のモデル BertForTokenClassificationを用いて、日本語の文から固有表現を抽出します。 ", - "url": "https://huggingface.co./jurabi/bert-ner-japanese", - "project_name": "bert-ner-japanese", - "downloads": 2402, - "source": "Hugging Face", - "score": -0.07218398591449564, - "first_commit": "2022-09-26 07:46:38", - "latest_commit": "2022-09-26 12:13:44", - "languages": [], - "model_or_dataset": "model", - "model_size": null - }, - { - "description": "natto-py combines the Python programming language with MeCab, the part-of-speech and morphological analyzer for the Japanese language.", - "url": "https://github.com/buruzaemon/natto-py", - "project_name": "natto-py", - "stargazers_count": 91, - "source": "GitHub", - "score": -0.07257601867371008, - "first_commit": "2014-10-24 20:56:40", - "latest_commit": "2023-11-04 21:25:21", - "languages": [ - "Python", - "JavaScript", - "Jupyter Notebook" - ], - "model_or_dataset": null + "description": "natto-py combines the Python programming language with MeCab, the part-of-speech and morphological analyzer for the Japanese language.", + "url": "https://github.com/buruzaemon/natto-py", + "project_name": "natto-py", + "stargazers_count": 91, + "source": "GitHub", + "score": -0.07056777276076893, + "first_commit": "2014-10-24 20:56:40", + "latest_commit": "2023-11-04 21:25:21", + "languages": [ + "Python", + "JavaScript", + "Jupyter Notebook" + ], + "model_or_dataset": null }, { "description": "A* CCG Parser with a Supertag and Dependency Factored Model", @@ -3310,7 +3279,7 @@ "project_name": "depccg", "stargazers_count": 91, "source": "GitHub", - "score": -0.07257601867371008, + "score": -0.07056777276076893, "first_commit": "2016-10-06 14:39:12", "latest_commit": "2023-08-26 16:03:23", "languages": [ @@ -3325,7 +3294,7 @@ "project_name": "oseti", "stargazers_count": 91, "source": "GitHub", - "score": -0.07257601867371008, + "score": -0.07056777276076893, "first_commit": "2019-02-12 02:03:26", "latest_commit": "2024-01-12 07:14:53", "languages": [ @@ -3334,108 +3303,60 @@ "model_or_dataset": null }, { - "description": "Model Card for Japanese character-level DeBERTa V2 tiny Model description This is a Japanese DeBERTa V2 tiny model pre-trained on Japanese Wikipedia, the Japanese portion of CC-100, and the Japanese portion of OSCAR.", - "url": "https://huggingface.co./ku-nlp/deberta-v2-tiny-japanese-char-wwm", - "project_name": "deberta-v2-tiny-japanese-char-wwm", - "downloads": 2339, - "source": "Hugging Face", - "score": -0.07313212091428337, - "first_commit": "2023-01-05 08:48:29", - "latest_commit": "2023-03-23 07:31:19", - "languages": [], - "model_or_dataset": "model", - "model_size": 0.0101 - }, - { - "description": "FINGU-AI/FinguAI-Chat-v1 Overview The FINGU-AI/FinguAI-Chat-v1 model offers a specialized curriculum tailored to English, Korean, and Japanese speakers interested in finance, investment, and legal frameworks.", - "url": "https://huggingface.co./FINGU-AI/FinguAI-Chat-v1", - "project_name": "FinguAI-Chat-v1", - "downloads": 2334, - "source": "Hugging Face", - "score": -0.07320736972379033, - "first_commit": "2024-03-21 07:08:05", - "latest_commit": "2024-03-22 09:36:44", - "languages": [], - "model_or_dataset": "model", - "model_size": 0.464 - }, - { - "description": "stockmark/stockmark-13b Stockmark-13b is a 13 billion parameter LLM pretrained from scratch based on Japanese corpus of about 220B tokens.", - "url": "https://huggingface.co./stockmark/stockmark-13b", - "project_name": "stockmark-13b", - "downloads": 2272, - "source": "Hugging Face", - "score": -0.07414045496167665, - "first_commit": "2023-10-21 06:53:06", - "latest_commit": "2024-05-17 06:15:56", - "languages": [], - "model_or_dataset": "model", - "model_size": 13.2 - }, - { - "description": "japanese-gpt-neox-3.6b-instruction-ppo Overview This repository provides a Japanese GPT-NeoX model of 3.6 billion parameters.", - "url": "https://huggingface.co./rinna/japanese-gpt-neox-3.6b-instruction-ppo", - "project_name": "japanese-gpt-neox-3.6b-instruction-ppo", - "downloads": 2247, - "source": "Hugging Face", - "score": -0.07451669900921147, - "first_commit": "2023-05-30 01:50:48", - "latest_commit": "2024-07-20 07:58:49", - "languages": [], - "model_or_dataset": "model", - "model_size": 3.76 - }, - { - "description": "Converted from clu-ling/whisper-large-v2-japanese-5k-steps using CTranslate2.", - "url": "https://huggingface.co./zh-plus/faster-whisper-large-v2-japanese-5k-steps", - "project_name": "faster-whisper-large-v2-japanese-5k-steps", - "downloads": 2223, + "description": "haqishen-Llama-3-8B-Japanese-Instruct-gguf haqishenさんが公開しているLlama-3-8B-Japanese-Instructのggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/haqishen-Llama-3-8B-Japanese-Instruct-gguf", + "project_name": "haqishen-Llama-3-8B-Japanese-Instruct-gguf", + "downloads": 2742, "source": "Hugging Face", - "score": -0.07487789329484489, - "first_commit": "2023-07-03 08:29:37", - "latest_commit": "2023-07-03 18:42:31", + "score": -0.07136535741965648, + "first_commit": "2024-04-23 13:55:17", + "latest_commit": "2024-04-23 14:54:23", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 8.03, + "model_architectures": null }, { - "description": "gpt-neox-japanese-2.7b", - "url": "https://huggingface.co./abeja/gpt-neox-japanese-2.7b", - "project_name": "gpt-neox-japanese-2.7b", - "downloads": 2196, + "description": "Llama-3.1-70B-Japanese-Instruct-2407 Model Description This is a Japanese continually pre-trained model based on meta-llama/Meta-Llama-3.1-70B-Instruct.", + "url": "https://huggingface.co./cyberagent/Llama-3.1-70B-Japanese-Instruct-2407", + "project_name": "Llama-3.1-70B-Japanese-Instruct-2407", + "downloads": 2726, "source": "Hugging Face", - "score": -0.07528423686618248, - "first_commit": "2022-08-29 02:15:44", - "latest_commit": "2023-04-10 05:12:30", + "score": -0.07161673912676396, + "first_commit": "2024-07-26 01:30:21", + "latest_commit": "2024-07-26 02:30:17", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 70.6, + "model_architectures": "LlamaForCausalLM" }, { - "description": "Kotoba-Whisper Kotoba-Whisper is a collection of distilled Whisper models for Japanese ASR, developed through the collaboration bewteen Asahi Ushio and Kotoba Technologies.", - "url": "https://huggingface.co./kotoba-tech/kotoba-whisper-v1.0", - "project_name": "kotoba-whisper-v1.0", - "downloads": 2194, + "description": "japanese-gpt2-xsmall", + "url": "https://huggingface.co./rinna/japanese-gpt2-xsmall", + "project_name": "japanese-gpt2-xsmall", + "downloads": 2707, "source": "Hugging Face", - "score": -0.07531433638998526, - "first_commit": "2024-04-14 08:53:48", - "latest_commit": "2024-05-08 12:40:53", + "score": -0.07191525490395409, + "first_commit": "2021-07-26 02:52:54", + "latest_commit": "2024-07-20 07:48:11", "languages": [], "model_or_dataset": "model", - "model_size": 0.756 + "model_size": 0.0437, + "model_architectures": "GPT2LMHeadModel" }, { - "description": "bert-base-japanese-v3-marc_ja 「大規模言語モデル入門」の第5章で紹介している(感情分析)のモデルです。 ", - "url": "https://huggingface.co./llm-book/bert-base-japanese-v3-marc_ja", - "project_name": "bert-base-japanese-v3-marc_ja", - "downloads": 2188, + "description": "ELYZA-japanese-Llama-2-7b Model Description ELYZA-japanese-Llama-2-7b は、 Llama2をベースとして日本語能力を拡張するために追加事前学習を行ったモデルです。 ", + "url": "https://huggingface.co./elyza/ELYZA-japanese-Llama-2-7b-fast-instruct", + "project_name": "ELYZA-japanese-Llama-2-7b-fast-instruct", + "downloads": 2651, "source": "Hugging Face", - "score": -0.07540463496139362, - "first_commit": "2023-06-01 14:29:06", - "latest_commit": "2023-07-24 06:49:13", + "score": -0.07279509087883024, + "first_commit": "2023-08-28 13:36:19", + "latest_commit": "2023-08-29 03:47:09", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "LlamaForCausalLM" }, { "description": "Pytorch implementation and pre-trained Japanese model for CANINE, the efficient character-level transformer.", @@ -3443,7 +3364,7 @@ "project_name": "shiba", "stargazers_count": 90, "source": "GitHub", - "score": -0.07549905917143238, + "score": -0.07349931477336673, "first_commit": "2021-06-24 20:17:27", "latest_commit": "2023-11-03 10:01:53", "languages": [ @@ -3457,7 +3378,7 @@ "project_name": "open2ch-dialogue-corpus", "stargazers_count": 90, "source": "GitHub", - "score": -0.07549905917143238, + "score": -0.07349931477336673, "first_commit": "2019-09-13 11:21:53", "latest_commit": "2021-06-07 00:06:23", "languages": [ @@ -3466,225 +3387,172 @@ "model_or_dataset": "dataset" }, { - "description": "ELYZA-japanese-Llama-2-7b-instruct-gguf ELYZAさんが公開しているELYZA-japanese-Llama-2-7b-instructのggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/ELYZA-japanese-Llama-2-7b-instruct-gguf", - "project_name": "ELYZA-japanese-Llama-2-7b-instruct-gguf", - "downloads": 2153, + "description": "japanese-gpt-neox-3.6b-instruction-ppo Overview This repository provides a Japanese GPT-NeoX model of 3.6 billion parameters.", + "url": "https://huggingface.co./rinna/japanese-gpt-neox-3.6b-instruction-ppo", + "project_name": "japanese-gpt-neox-3.6b-instruction-ppo", + "downloads": 2564, "source": "Hugging Face", - "score": -0.07593137662794235, - "first_commit": "2023-08-29 05:33:45", - "latest_commit": "2023-11-16 14:27:23", + "score": -0.07416197891122712, + "first_commit": "2023-05-30 01:50:48", + "latest_commit": "2024-07-20 07:58:49", "languages": [], "model_or_dataset": "model", - "model_size": 6.74 + "model_size": 3.76, + "model_architectures": "GPTNeoXForCausalLM" }, { - "description": "sbert-jsnli-luke-japanese-base-lite This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.", - "url": "https://huggingface.co./oshizo/sbert-jsnli-luke-japanese-base-lite", - "project_name": "sbert-jsnli-luke-japanese-base-lite", - "downloads": 2124, + "description": "Llama-3.1-8B-Instruct-gguf meta-llamaさんが公開しているMeta-Llama-3.1-8B-Instructのggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/Llama-3.1-8B-Instruct-gguf", + "project_name": "Llama-3.1-8B-Instruct-gguf", + "downloads": 2527, "source": "Hugging Face", - "score": -0.07636781972308274, - "first_commit": "2023-01-10 11:53:15", - "latest_commit": "2023-01-10 12:36:12", + "score": -0.07474329910891316, + "first_commit": "2024-07-23 16:33:06", + "latest_commit": "2024-07-24 21:04:40", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 8.03, + "model_architectures": null }, { - "description": "ElanMT ElanMT-BT-ja-en is a Japanese to English translation model developed by ELAN MITSUA Project / Abstract Engine.", - "url": "https://huggingface.co./Mitsua/elan-mt-bt-ja-en", - "project_name": "elan-mt-bt-ja-en", - "downloads": 2099, + "description": "Japanese Stable LM Instruct Gamma 7B Model Description", + "url": "https://huggingface.co./stabilityai/japanese-stablelm-instruct-gamma-7b", + "project_name": "japanese-stablelm-instruct-gamma-7b", + "downloads": 2465, "source": "Hugging Face", - "score": -0.07674406377061754, - "first_commit": "2024-05-20 01:56:12", - "latest_commit": "2024-05-20 01:56:57", + "score": -0.07571740322395462, + "first_commit": "2023-10-16 08:55:06", + "latest_commit": "2024-01-24 05:54:38", "languages": [], "model_or_dataset": "model", - "model_size": 0.0606 + "model_size": 7.24, + "model_architectures": "MistralForCausalLM" }, { - "description": "bert-base-japanese-v3-jsts 「大規模言語モデル入門」の第5章で紹介している(意味類似度計算)のモデルです。 ", - "url": "https://huggingface.co./llm-book/bert-base-japanese-v3-jsts", - "project_name": "bert-base-japanese-v3-jsts", - "downloads": 2094, + "description": "rinna/japanese-hubert-base Overview This is a Japanese HuBERT Base model trained by rinna Co.", + "url": "https://huggingface.co./rinna/japanese-hubert-base", + "project_name": "japanese-hubert-base", + "downloads": 2448, "source": "Hugging Face", - "score": -0.0768193125801245, - "first_commit": "2023-06-11 15:27:32", - "latest_commit": "2023-07-29 11:27:18", + "score": -0.07598449628775632, + "first_commit": "2023-04-28 07:39:44", + "latest_commit": "2024-07-20 08:55:38", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.09440000000000001, + "model_architectures": "HubertModel" }, { - "description": "BERT base Japanese (character tokenization, whole word masking enabled)", - "url": "https://huggingface.co./tohoku-nlp/bert-base-japanese-char-whole-word-masking", - "project_name": "bert-base-japanese-char-whole-word-masking", - "downloads": 2083, + "description": "sbert-jsnli-luke-japanese-base-lite This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.", + "url": "https://huggingface.co./oshizo/sbert-jsnli-luke-japanese-base-lite", + "project_name": "sbert-jsnli-luke-japanese-base-lite", + "downloads": 2401, "source": "Hugging Face", - "score": -0.07698485996103982, - "first_commit": "2020-04-28 21:34:13", - "latest_commit": "2024-02-22 00:58:18", + "score": -0.07672293005238452, + "first_commit": "2023-01-10 11:53:15", + "latest_commit": "2023-01-10 12:36:12", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "LukeModel" }, { - "description": "Stockmark-13b-instruct Stockmark-13b-instruct is an instruction-tuned version of Stockmark-13b, a 13 billion parameter Japanese LLM.", - "url": "https://huggingface.co./stockmark/stockmark-13b-instruct", - "project_name": "stockmark-13b-instruct", - "downloads": 2053, + "description": "wav2vec2-base-asr", + "url": "https://huggingface.co./TKU410410103/wav2vec2-base-japanese-asr", + "project_name": "wav2vec2-base-japanese-asr", + "downloads": 2326, "source": "Hugging Face", - "score": -0.07743635281808159, - "first_commit": "2023-11-08 16:56:34", - "latest_commit": "2023-11-08 17:02:17", + "score": -0.0779012818044508, + "first_commit": "2024-04-14 10:22:21", + "latest_commit": "2024-04-14 14:00:30", "languages": [], "model_or_dataset": "model", - "model_size": 13.2 + "model_size": 0.0945, + "model_architectures": "Wav2Vec2ForCTC" }, { - "description": "rinna/youri-7b Overview We conduct continual pre-training of llama2-7b on 40B tokens from a mixture of Japanese and English datasets.", - "url": "https://huggingface.co./rinna/youri-7b", - "project_name": "youri-7b", - "downloads": 2005, + "description": "Swallow Our Swallow model has undergone continual pre-training from the Llama 2 family, primarily with the addition of Japanese language data.", + "url": "https://huggingface.co./tokyotech-llm/Swallow-70b-instruct-hf", + "project_name": "Swallow-70b-instruct-hf", + "downloads": 2283, "source": "Hugging Face", - "score": -0.07815874138934843, - "first_commit": "2023-10-30 15:12:17", - "latest_commit": "2024-07-22 08:01:22", + "score": -0.07857687014230214, + "first_commit": "2023-12-11 07:23:47", + "latest_commit": "2024-06-29 08:56:31", "languages": [], "model_or_dataset": "model", - "model_size": 6.74 + "model_size": 69.2, + "model_architectures": "LlamaForCausalLM" }, { - "description": "japanese-large-lm-3.6b", - "url": "https://huggingface.co./line-corporation/japanese-large-lm-3.6b", - "project_name": "japanese-large-lm-3.6b", - "downloads": 1993, + "description": "Converted from clu-ling/whisper-large-v2-japanese-5k-steps using CTranslate2.", + "url": "https://huggingface.co./zh-plus/faster-whisper-large-v2-japanese-5k-steps", + "project_name": "faster-whisper-large-v2-japanese-5k-steps", + "downloads": 2263, "source": "Hugging Face", - "score": -0.07833933853216514, - "first_commit": "2023-07-21 00:48:05", - "latest_commit": "2023-08-17 01:06:17", + "score": -0.07889109727618647, + "first_commit": "2023-07-03 08:29:37", + "latest_commit": "2023-07-03 18:42:31", "languages": [], "model_or_dataset": "model", - "model_size": 3.68 + "model_size": null, + "model_architectures": null }, { - "description": "japanese-gpt-1b This repository provides a 1.3B-parameter Japanese GPT model.", - "url": "https://huggingface.co./rinna/japanese-gpt-1b", - "project_name": "japanese-gpt-1b", - "downloads": 1959, + "description": "hubert-base-asr", + "url": "https://huggingface.co./TKU410410103/hubert-base-japanese-asr", + "project_name": "hubert-base-japanese-asr", + "downloads": 2257, "source": "Hugging Face", - "score": -0.07885103043681248, - "first_commit": "2022-01-20 02:30:19", - "latest_commit": "2024-07-20 07:52:31", + "score": -0.07898536541635177, + "first_commit": "2024-04-09 06:01:43", + "latest_commit": "2024-04-14 13:20:43", "languages": [], "model_or_dataset": "model", - "model_size": 1.33 + "model_size": 0.0945, + "model_architectures": "HubertForCTC" }, { - "description": "Phi-3-mini-128k-instruct-gguf microsoftさんが公開しているPhi-3-mini-128k-instructのggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/Phi-3-mini-128k-instruct-gguf", - "project_name": "Phi-3-mini-128k-instruct-gguf", - "downloads": 1952, + "description": "Llama-3.1-8B-EZO-1.1-it-gguf HODACHIさんが公開しているLlama-3.1-8B-EZO-1.1-itのggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/Llama-3.1-8B-EZO-1.1-it-gguf", + "project_name": "Llama-3.1-8B-EZO-1.1-it-gguf", + "downloads": 2255, "source": "Hugging Face", - "score": -0.07895637877012222, - "first_commit": "2024-04-24 13:50:51", - "latest_commit": "2024-04-24 14:24:09", + "score": -0.07901678812974021, + "first_commit": "2024-07-31 11:06:36", + "latest_commit": "2024-07-31 12:47:45", "languages": [], "model_or_dataset": "model", - "model_size": 3.82 + "model_size": 8.03, + "model_architectures": null }, { - "description": "Swallow Our Swallow model has undergone continual pre-training from the Llama 2 family, primarily with the addition of Japanese language data.", - "url": "https://huggingface.co./tokyotech-llm/Swallow-13b-instruct-v0.1", - "project_name": "Swallow-13b-instruct-v0.1", - "downloads": 1944, + "description": "bert-base-japanese-v3-marc_ja 「大規模言語モデル入門」の第5章で紹介している(感情分析)のモデルです。 ", + "url": "https://huggingface.co./llm-book/bert-base-japanese-v3-marc_ja", + "project_name": "bert-base-japanese-v3-marc_ja", + "downloads": 2254, "source": "Hugging Face", - "score": -0.07907677686533336, - "first_commit": "2024-03-04 11:30:28", - "latest_commit": "2024-06-29 09:00:15", + "score": -0.07903249948643443, + "first_commit": "2023-06-01 14:29:06", + "latest_commit": "2023-07-24 06:49:13", "languages": [], "model_or_dataset": "model", - "model_size": 13.1 + "model_size": null, + "model_architectures": "BertForSequenceClassification" }, { - "description": "By clicking \"Agree\", you agree to the License Agreement and acknowledge Stability AI's Privacy Policy.", - "url": "https://huggingface.co./stabilityai/japanese-stablelm-2-instruct-1_6b", - "project_name": "japanese-stablelm-2-instruct-1_6b", - "downloads": 1896, + "description": "Gemma-Mling: Multilingual Gemma Update @ 2024.04.15: First release of Gemma-Mling 7B model Original Gemma Model Page:", + "url": "https://huggingface.co./beomi/gemma-mling-7b", + "project_name": "gemma-mling-7b", + "downloads": 2243, "source": "Hugging Face", - "score": -0.0797991654366002, - "first_commit": null, - "latest_commit": null, - "languages": [], - "model_or_dataset": "model", - "model_size": 1.64 - }, - { - "description": "Swallow Our Swallow model has undergone continual pre-training from the Llama 2 family, primarily with the addition of Japanese language data.", - "url": "https://huggingface.co./tokyotech-llm/Swallow-70b-instruct-hf", - "project_name": "Swallow-70b-instruct-hf", - "downloads": 1872, - "source": "Hugging Face", - "score": -0.08016035972223362, - "first_commit": "2023-12-11 07:23:47", - "latest_commit": "2024-06-29 08:56:31", - "languages": [], - "model_or_dataset": "model", - "model_size": 69.2 - }, - { - "description": "Swallow Our Swallow model has undergone continual pre-training from the Llama 2 family, primarily with the addition of Japanese language data.", - "url": "https://huggingface.co./tokyotech-llm/Swallow-13b-hf", - "project_name": "Swallow-13b-hf", - "downloads": 1860, - "source": "Hugging Face", - "score": -0.08034095686505033, - "first_commit": "2023-11-16 15:40:49", - "latest_commit": "2024-06-29 08:56:21", - "languages": [], - "model_or_dataset": "model", - "model_size": null - }, - { - "description": "Llama-3-Swallow-8B-Instruct-v0.1-gguf tokyotech-llmさんが公開しているLlama-3-Swallow-8B-Instruct-v0.1のggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/Llama-3-Swallow-8B-Instruct-v0.1-gguf", - "project_name": "Llama-3-Swallow-8B-Instruct-v0.1-gguf", - "downloads": 1847, - "source": "Hugging Face", - "score": -0.08053660376976843, - "first_commit": "2024-07-01 16:42:54", - "latest_commit": "2024-07-02 10:43:55", - "languages": [], - "model_or_dataset": "model", - "model_size": 8.03 - }, - { - "description": "Llama-3-ELYZA-JP-8B-gguf elyzaさんが公開しているLlama-3-ELYZA-JP-8Bのggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/Llama-3-ELYZA-JP-8B-gguf", - "project_name": "Llama-3-ELYZA-JP-8B-gguf", - "downloads": 1829, - "source": "Hugging Face", - "score": -0.08080749948399349, - "first_commit": "2024-06-26 16:36:04", - "latest_commit": "2024-06-26 17:55:35", + "score": -0.07920532441007082, + "first_commit": "2024-04-15 05:37:05", + "latest_commit": "2024-04-18 14:28:20", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 - }, - { - "description": "ELYZA-tasks-100: 日本語instructionモデル評価データセット Data Description 本データセットはinstruction-tuningを行ったモデルの評価用データセットです。", - "url": "https://huggingface.co./datasets/elyza/ELYZA-tasks-100", - "project_name": "ELYZA-tasks-100", - "downloads": 1801, - "source": "Hugging Face", - "score": -0.08122889281723249, - "first_commit": "2023-08-28 09:01:44", - "latest_commit": "2023-12-27 18:17:36", - "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_size": 8.54, + "model_architectures": "GemmaForCausalLM" }, { "description": "A Python Module for JUMAN++/KNP", @@ -3692,7 +3560,7 @@ "project_name": "pyknp", "stargazers_count": 88, "source": "GitHub", - "score": -0.08134514016687697, + "score": -0.0793623987985623, "first_commit": "2015-04-08 15:25:47", "latest_commit": "2024-07-06 15:16:48", "languages": [ @@ -3706,7 +3574,7 @@ "project_name": "STAIR-captions", "stargazers_count": 88, "source": "GitHub", - "score": -0.08134514016687697, + "score": -0.0793623987985623, "first_commit": "2017-02-21 16:49:14", "latest_commit": "2018-07-04 18:24:35", "languages": [], @@ -3718,7 +3586,7 @@ "project_name": "NMeCab", "stargazers_count": 88, "source": "GitHub", - "score": -0.08134514016687697, + "score": -0.0793623987985623, "first_commit": "2014-04-24 17:34:29", "latest_commit": "2024-03-31 03:51:55", "languages": [ @@ -3727,3348 +3595,3805 @@ "model_or_dataset": "dataset" }, { - "description": "ELYZA-japanese-CodeLlama-7b-instruct-gguf ELYZAさんが公開しているELYZA-japanese-CodeLlama-7b-instructのggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/ELYZA-japanese-CodeLlama-7b-instruct-gguf", - "project_name": "ELYZA-japanese-CodeLlama-7b-instruct-gguf", - "downloads": 1792, - "source": "Hugging Face", - "score": -0.08136434067434502, - "first_commit": "2023-11-15 09:48:32", - "latest_commit": "2023-11-16 14:28:24", - "languages": [], - "model_or_dataset": "model", - "model_size": 6.74 - }, - { - "description": "Japanese Stable LM Instruct Gamma 7B Model Description", - "url": "https://huggingface.co./stabilityai/japanese-stablelm-instruct-gamma-7b", - "project_name": "japanese-stablelm-instruct-gamma-7b", - "downloads": 1789, + "description": "japanese-large-lm-3.6b", + "url": "https://huggingface.co./line-corporation/japanese-large-lm-3.6b", + "project_name": "japanese-large-lm-3.6b", + "downloads": 2174, "source": "Hugging Face", - "score": -0.0814094899600492, - "first_commit": "2023-10-16 08:55:06", - "latest_commit": "2024-01-24 05:54:38", + "score": -0.08028940802197179, + "first_commit": "2023-07-21 00:48:05", + "latest_commit": "2023-08-17 01:06:17", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": 3.68, + "model_architectures": "GPTNeoXForCausalLM" }, { - "description": "wav2vec2-base-asr", - "url": "https://huggingface.co./TKU410410103/wav2vec2-base-japanese-asr", - "project_name": "wav2vec2-base-japanese-asr", - "downloads": 1775, + "description": "clip-japanese-base This is a Japanese CLIP (Contrastive Language-Image Pre-training) model developed by LY Corporation.", + "url": "https://huggingface.co./line-corporation/clip-japanese-base", + "project_name": "clip-japanese-base", + "downloads": 2124, "source": "Hugging Face", - "score": -0.08162018662666869, - "first_commit": "2024-04-14 10:22:21", - "latest_commit": "2024-04-14 14:00:30", + "score": -0.08107497585668265, + "first_commit": "2024-04-24 01:36:22", + "latest_commit": "2024-05-10 03:07:04", "languages": [], "model_or_dataset": "model", - "model_size": 0.0945 + "model_size": 0.197, + "model_architectures": "CLYPModel" }, { - "description": "Llama-3.1-70B-Instruct-gguf meta-llamaさんが公開しているMeta-Llama-3.1-70B-Instructのggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/Llama-3.1-70B-Instruct-gguf", - "project_name": "Llama-3.1-70B-Instruct-gguf", - "downloads": 1746, + "description": "FINGU-AI/FinguAI-Chat-v1 Overview The FINGU-AI/FinguAI-Chat-v1 model offers a specialized curriculum tailored to English, Korean, and Japanese speakers interested in finance, investment, and legal frameworks.", + "url": "https://huggingface.co./FINGU-AI/FinguAI-Chat-v1", + "project_name": "FinguAI-Chat-v1", + "downloads": 2110, "source": "Hugging Face", - "score": -0.08205662972180906, - "first_commit": "2024-07-23 17:25:23", - "latest_commit": "2024-07-24 21:04:27", + "score": -0.08129493485040169, + "first_commit": "2024-03-21 07:08:05", + "latest_commit": "2024-03-22 09:36:44", "languages": [], "model_or_dataset": "model", - "model_size": 70.6 + "model_size": 0.464, + "model_architectures": "Qwen2ForCausalLM" }, { - "description": "clip-japanese-base This is a Japanese CLIP (Contrastive Language-Image Pre-training) model developed by LY Corporation.", - "url": "https://huggingface.co./line-corporation/clip-japanese-base", - "project_name": "clip-japanese-base", - "downloads": 1731, + "description": "ElanMT ElanMT-BT-ja-en is a Japanese to English translation model developed by ELAN MITSUA Project / Abstract Engine.", + "url": "https://huggingface.co./Mitsua/elan-mt-bt-ja-en", + "project_name": "elan-mt-bt-ja-en", + "downloads": 2100, "source": "Hugging Face", - "score": -0.08228237615032995, - "first_commit": "2024-04-24 01:36:22", - "latest_commit": "2024-05-10 03:07:04", + "score": -0.08145204841734387, + "first_commit": "2024-05-20 01:56:12", + "latest_commit": "2024-05-20 01:56:57", "languages": [], "model_or_dataset": "model", - "model_size": 0.197 + "model_size": 0.0606, + "model_architectures": "MarianMTModel" }, { "description": "Leia-Swallow-7B LEIA is a training technique for autoregressive LLMs that effectively improves their performance in languages other than English by enhancing cross-lingual knowledge transfer from English to a target language.", "url": "https://huggingface.co./leia-llm/Leia-Swallow-7b", "project_name": "Leia-Swallow-7b", - "downloads": 1723, + "downloads": 2096, "source": "Hugging Face", - "score": -0.08240277424554109, + "score": -0.08151489384412072, "first_commit": "2024-04-17 07:12:28", "latest_commit": "2024-04-17 10:29:56", "languages": [], "model_or_dataset": "model", - "model_size": 6.83 + "model_size": 6.83, + "model_architectures": "LlamaForCausalLM" }, { - "description": "Japanese-StableLM-Base-Alpha-7B \"A parrot able to speak Japanese, ukiyoe, edo period\" — Stable Diffusion XL Model Description japanese-stablelm-base-alpha-7b is a 7B-parameter decoder-only language model pre-trained on a diverse collection of Japanese and English datasets which focus on maximizing Japanese language modeling performance and Japanese downstream task performance.", - "url": "https://huggingface.co./stabilityai/japanese-stablelm-base-alpha-7b", - "project_name": "japanese-stablelm-base-alpha-7b", - "downloads": 1711, + "description": "Llama-3-Swallow-70B-Instruct-v0.1-gguf tokyotech-llmさんが公開しているLlama-3-Swallow-70B-Instruct-v0.1のggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/Llama-3-Swallow-70B-Instruct-v0.1-gguf", + "project_name": "Llama-3-Swallow-70B-Instruct-v0.1-gguf", + "downloads": 2091, "source": "Hugging Face", - "score": -0.08258337138835779, - "first_commit": "2023-08-09 14:30:09", - "latest_commit": "2023-08-22 09:36:29", + "score": -0.08159345062759181, + "first_commit": "2024-07-01 14:21:29", + "latest_commit": "2024-07-07 05:04:16", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 70.6, + "model_architectures": null }, { - "description": "Swallow Our Swallow model has undergone continual pre-training from the Llama 2 family, primarily with the addition of Japanese language data.", - "url": "https://huggingface.co./tokyotech-llm/Swallow-7b-NVE-instruct-hf", - "project_name": "Swallow-7b-NVE-instruct-hf", - "downloads": 1708, + "description": "By clicking \"Agree\", you agree to the License Agreement and acknowledge Stability AI's Privacy Policy.", + "url": "https://huggingface.co./stabilityai/japanese-stablelm-2-instruct-1_6b", + "project_name": "japanese-stablelm-2-instruct-1_6b", + "downloads": 2086, "source": "Hugging Face", - "score": -0.08262852067406197, - "first_commit": "2023-12-07 02:08:59", - "latest_commit": "2024-07-06 15:18:11", + "score": -0.0816720074110629, + "first_commit": null, + "latest_commit": null, "languages": [], "model_or_dataset": "model", - "model_size": 6.74 + "model_size": 1.64, + "model_architectures": null }, { - "description": "Wav2Vec2-Large-Japanese Fine-tuned facebook/wav2vec2-large-xlsr-53 on Japanese using the Common Voice, JSUT, TEDxJP and some other data.", - "url": "https://huggingface.co./NTQAI/wav2vec2-large-japanese", - "project_name": "wav2vec2-large-japanese", - "downloads": 1687, + "description": "Kotoba-Whisper Kotoba-Whisper is a collection of distilled Whisper models for Japanese ASR, developed through the collaboration bewteen Asahi Ushio and Kotoba Technologies.", + "url": "https://huggingface.co./kotoba-tech/kotoba-whisper-v1.0", + "project_name": "kotoba-whisper-v1.0", + "downloads": 2085, "source": "Hugging Face", - "score": -0.08294456567399122, - "first_commit": "2021-07-05 02:44:40", - "latest_commit": "2023-02-17 13:07:47", + "score": -0.08168771876775711, + "first_commit": "2024-04-14 08:53:48", + "latest_commit": "2024-05-08 12:40:53", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.756, + "model_architectures": "WhisperForConditionalGeneration" }, { - "description": "Leia-Swallow-13B LEIA is a training technique for autoregressive LLMs that effectively improves their performance in languages other than English by enhancing cross-lingual knowledge transfer from English to a target language.", - "url": "https://huggingface.co./leia-llm/Leia-Swallow-13b", - "project_name": "Leia-Swallow-13b", - "downloads": 1683, + "description": "Model Card for Japanese character-level DeBERTa V2 tiny Model description This is a Japanese DeBERTa V2 tiny model pre-trained on Japanese Wikipedia, the Japanese portion of CC-100, and the Japanese portion of OSCAR.", + "url": "https://huggingface.co./ku-nlp/deberta-v2-tiny-japanese-char-wwm", + "project_name": "deberta-v2-tiny-japanese-char-wwm", + "downloads": 2084, "source": "Hugging Face", - 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"url": "https://huggingface.co./mmnga/Ninja-v1-NSFW-128k-gguf", - "project_name": "Ninja-v1-NSFW-128k-gguf", - "downloads": 1677, + "description": "HODACHI-EZO-Common-9B-gemma-2-it-gguf HODACHIさんが公開しているEZO-Common-9B-gemma-2-itのggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/HODACHI-EZO-Common-9B-gemma-2-it-gguf", + "project_name": "HODACHI-EZO-Common-9B-gemma-2-it-gguf", + "downloads": 2061, "source": "Hugging Face", - "score": -0.08309506329300514, - "first_commit": "2024-05-01 17:45:52", - "latest_commit": "2024-05-04 13:25:47", + "score": -0.08206479132841833, + "first_commit": "2024-07-15 15:42:39", + "latest_commit": "2024-07-15 16:20:33", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": 9.24, + "model_architectures": null }, { - "description": "このモデルはluke-japanese-baseをファインチューニングして、固有表現抽出（NER）に用いれるようにしたものです。 ", - "url": "https://huggingface.co./Mizuiro-sakura/luke-japanese-base-finetuned-ner", - "project_name": "luke-japanese-base-finetuned-ner", - 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"model_size": null + "model_size": null, + "model_architectures": null }, { - "description": "bilingual-gpt-neox-4b Overview This repository provides an English-Japanese bilingual GPT-NeoX model of 3.8 billion parameters.", - "url": "https://huggingface.co./rinna/bilingual-gpt-neox-4b", - "project_name": "bilingual-gpt-neox-4b", - "downloads": 1524, + "description": "BERT base Japanese (character tokenization, whole word masking enabled)", + "url": "https://huggingface.co./tohoku-nlp/bert-base-japanese-char-whole-word-masking", + "project_name": "bert-base-japanese-char-whole-word-masking", + "downloads": 1830, "source": "Hugging Face", - "score": -0.08539767686391818, - "first_commit": "2023-07-31 02:34:03", - "latest_commit": "2024-07-20 08:02:07", + "score": -0.08569411472478247, + "first_commit": "2020-04-28 21:34:13", + "latest_commit": "2024-02-22 00:58:18", "languages": [], "model_or_dataset": "model", - "model_size": 3.95 + "model_size": null, + "model_architectures": "BertForMaskedLM" }, { - "description": "OpenCALM-1B Model Description OpenCALM is a suite of decoder-only language models pre-trained on Japanese datasets, developed by", - "url": "https://huggingface.co./cyberagent/open-calm-1b", - "project_name": "open-calm-1b", - "downloads": 1514, + "description": "BERTによる日本語固有表現抽出のモデル BertForTokenClassificationを用いて、日本語の文から固有表現を抽出します。 ", + "url": "https://huggingface.co./jurabi/bert-ner-japanese", + "project_name": "bert-ner-japanese", + "downloads": 1818, "source": "Hugging Face", - "score": -0.0855481744829321, - "first_commit": "2023-05-15 07:00:18", - "latest_commit": "2023-05-18 01:11:30", + "score": -0.08588265100511308, + "first_commit": "2022-09-26 07:46:38", + "latest_commit": "2022-09-26 12:13:44", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "BertForTokenClassification" }, { - "description": "ELYZA-japanese-Llama-2-13b Model Description ELYZA-japanese-Llama-2-13b は、 Llama 2をベースとして日本語能力を拡張するために追加事前学習を行ったモデルです。", - "url": "https://huggingface.co./elyza/ELYZA-japanese-Llama-2-13b", - "project_name": "ELYZA-japanese-Llama-2-13b", - "downloads": 1507, + "description": "bert-base-japanese-v3-jsts 「大規模言語モデル入門」の第5章で紹介している(意味類似度計算)のモデルです。 ", + "url": "https://huggingface.co./llm-book/bert-base-japanese-v3-jsts", + "project_name": "bert-base-japanese-v3-jsts", + "downloads": 1793, "source": "Hugging Face", - "score": -0.08565352281624185, - "first_commit": "2023-12-25 16:38:08", - "latest_commit": "2023-12-27 01:40:43", + "score": -0.0862754349224685, + "first_commit": "2023-06-11 15:27:32", + "latest_commit": "2023-07-29 11:27:18", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "BertForSequenceClassification" }, { - "description": "Dataset Summary RealPersonaChat は，話者本人のペルソナと性格特性を含む，約14,000件の日本語雑談対話からなるコーパスです．", - "url": "https://huggingface.co./datasets/nu-dialogue/real-persona-chat", - "project_name": "real-persona-chat", - "downloads": 1486, + "description": "japanese-gpt-1b This repository provides a 1.3B-parameter Japanese GPT model.", + "url": "https://huggingface.co./rinna/japanese-gpt-1b", + "project_name": "japanese-gpt-1b", + "downloads": 1746, "source": "Hugging Face", - 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"model_size": null + "model_size": null, + "model_architectures": "GPTNeoXForCausalLM" }, { - "description": "ELYZA-japanese-Llama-2-13b-fast-instruct Model Description ELYZA-japanese-Llama-2-13b は、 Llama 2をベースとして日本語能力を拡張するために追加事前学習を行ったモデルです。 ", - "url": "https://huggingface.co./elyza/ELYZA-japanese-Llama-2-13b-fast-instruct", - "project_name": "ELYZA-japanese-Llama-2-13b-fast-instruct", - "downloads": 1451, + "description": "Corpus of Annual Reports in Japan", + "url": "https://github.com/chakki-works/CoARiJ", + "project_name": "CoARiJ", + "stargazers_count": 85, + "source": "GitHub", + "score": -0.08815702483635567, + "first_commit": "2019-09-02 14:12:48", + "latest_commit": "2020-12-19 14:00:34", + "languages": [ + "Python" + ], + "model_or_dataset": "dataset" + }, + { + "description": "This dataset was created by automatically translating \"databricks-dolly-15k\" into Japanese.", + "url": "https://huggingface.co./datasets/kunishou/databricks-dolly-15k-ja", + "project_name": "databricks-dolly-15k-ja", + "downloads": 1655, "source": "Hugging Face", - 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"first_commit": "2024-07-31 12:12:13", - "latest_commit": "2024-07-31 21:47:25", + "score": -0.08893065420379119, + "first_commit": "2024-03-09 22:52:22", + "latest_commit": "2024-03-13 10:26:42", "languages": [], - "model_or_dataset": "model", - "model_size": 70.6 + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null }, { - "description": "Swallow Our Swallow model has undergone continual pre-training from the Llama 2 family, primarily with the addition of Japanese language data.", - "url": "https://huggingface.co./tokyotech-llm/Swallow-70b-hf", - "project_name": "Swallow-70b-hf", - "downloads": 1401, + "description": "luke-japanese-large-lite luke-japanese is the Japanese version of LUKE (Language Understanding with Knowledge-based Embeddings), a pre-trained knowledge-enhanced contextualized representation of words and entities.", + "url": "https://huggingface.co./studio-ousia/luke-japanese-large-lite", + "project_name": "luke-japanese-large-lite", + "downloads": 1612, "source": "Hugging Face", - 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"project_name": "rinna-llama-3-youko-70b-instruct-gguf", - "downloads": 1357, + "description": "Phi-3-mini-128k-instruct-gguf microsoftさんが公開しているPhi-3-mini-128k-instructのggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/Phi-3-mini-128k-instruct-gguf", + "project_name": "Phi-3-mini-128k-instruct-gguf", + "downloads": 1562, "source": "Hugging Face", - "score": -0.0879109871014507, - "first_commit": "2024-07-27 09:04:09", - "latest_commit": "2024-07-31 14:35:52", + "score": -0.08990475831883266, + "first_commit": "2024-04-24 13:50:51", + "latest_commit": "2024-04-24 14:24:09", "languages": [], "model_or_dataset": "model", - "model_size": 70.6 + "model_size": 3.82, + "model_architectures": null }, { "description": "OpenCALM-3B Model Description OpenCALM is a suite of decoder-only language models pre-trained on Japanese datasets, developed by", "url": "https://huggingface.co./cyberagent/open-calm-3b", "project_name": "open-calm-3b", - "downloads": 1315, + "downloads": 1520, "source": "Hugging Face", - 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"downloads": 1273, + "description": "このツールは、複数のデータセットを横断して日本語の大規模言語モデルを自動評価するものです．", + "url": "https://github.com/llm-jp/llm-jp-eval", + "project_name": "llm-jp-eval", + "stargazers_count": 84, + "source": "GitHub", + "score": -0.09108856684895345, + "first_commit": "2023-10-19 19:36:10", + "latest_commit": "2024-07-18 21:31:53", + "languages": [ + "Python" + ], + "model_or_dataset": null + }, + { + "description": "japanese-gpt2-small This repository provides a small-sized Japanese GPT-2 model.", + "url": "https://huggingface.co./rinna/japanese-gpt2-small", + "project_name": "japanese-gpt2-small", + "downloads": 1478, "source": "Hugging Face", - "score": -0.08917516710116767, - "first_commit": "2024-05-01 17:49:42", - "latest_commit": "2024-05-01 18:37:01", + "score": -0.09122451228114689, + "first_commit": "2021-06-15 06:32:27", + "latest_commit": "2024-07-20 07:49:31", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": 0.123, + "model_architectures": "GPT2LMHeadModel" }, { - "description": "Ninja-v1-NSFW-gguf Local-Novel-LLM-projectさんが公開しているNinja-v1-NSFWのggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/Ninja-v1-NSFW-gguf", - "project_name": "Ninja-v1-NSFW-gguf", - "downloads": 1266, + "description": "Wav2Vec2-Large-Japanese Fine-tuned facebook/wav2vec2-large-xlsr-53 on Japanese using the Common Voice, JSUT, TEDxJP and some other data.", + "url": "https://huggingface.co./NTQAI/wav2vec2-large-japanese", + "project_name": "wav2vec2-large-japanese", + "downloads": 1477, "source": "Hugging Face", - "score": -0.08928051543447742, - "first_commit": "2024-05-03 14:03:23", - "latest_commit": "2024-05-04 13:26:52", + "score": -0.09124022363784111, + "first_commit": "2021-07-05 02:44:40", + "latest_commit": "2023-02-17 13:07:47", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": null, + "model_architectures": "Wav2Vec2ForCTC" }, { - "description": "Swallow Our Swallow model has undergone continual pre-training from the Llama 2 family, primarily with the addition of Japanese language data.", - "url": "https://huggingface.co./tokyotech-llm/Swallow-70b-instruct-v0.1", - "project_name": "Swallow-70b-instruct-v0.1", - "downloads": 1242, + "description": "ELYZA-japanese-Llama-2-13b-fast-instruct Model Description ELYZA-japanese-Llama-2-13b は、 Llama 2をベースとして日本語能力を拡張するために追加事前学習を行ったモデルです。 ", + "url": "https://huggingface.co./elyza/ELYZA-japanese-Llama-2-13b-fast-instruct", + "project_name": "ELYZA-japanese-Llama-2-13b-fast-instruct", + "downloads": 1475, "source": "Hugging Face", - "score": -0.08964170972011083, - "first_commit": "2024-03-06 14:39:34", - "latest_commit": "2024-06-29 09:00:17", + "score": -0.09127164635122954, + "first_commit": "2023-12-25 18:14:10", + "latest_commit": "2023-12-27 01:41:51", "languages": [], "model_or_dataset": "model", - "model_size": 69.2 + "model_size": null, + "model_architectures": "LlamaForCausalLM" }, { - "description": "llm-jp-13b-instruct-full-dolly_en-dolly_ja-ichikara_003_001-oasst_en-oasst_ja-v1.1", - "url": "https://huggingface.co./llm-jp/llm-jp-13b-instruct-full-dolly_en-dolly_ja-ichikara_003_001-oasst_en-oasst_ja-v1.1", - "project_name": "llm-jp-13b-instruct-full-dolly_en-dolly_ja-ichikara_003_001-oasst_en-oasst_ja-v1.1", - "downloads": 1236, + "description": "bilingual-gpt-neox-4b Overview This repository provides an English-Japanese bilingual GPT-NeoX model of 3.8 billion parameters.", + "url": "https://huggingface.co./rinna/bilingual-gpt-neox-4b", + "project_name": "bilingual-gpt-neox-4b", + "downloads": 1473, "source": "Hugging Face", - "score": -0.0897320082915192, - "first_commit": "2024-01-29 12:52:31", - "latest_commit": "2024-02-07 19:49:25", + "score": -0.09130306906461798, + "first_commit": "2023-07-31 02:34:03", + "latest_commit": "2024-07-20 08:02:07", "languages": [], "model_or_dataset": "model", - "model_size": 12.9 + "model_size": 3.95, + "model_architectures": "GPTNeoXForCausalLM" }, { - "description": "Corpus of Annual Reports in Japan", - "url": "https://github.com/chakki-works/CoARiJ", - "project_name": "CoARiJ", - "stargazers_count": 85, - "source": "GitHub", - "score": -0.09011426166004384, - 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"model_size": null + "model_size": 6.74, + "model_architectures": "LlamaForCausalLM" }, { - "description": "japanese-gpt-neox-3.6b-instruction-sft Overview This repository provides a Japanese GPT-NeoX model of 3.6 billion parameters.", - "url": "https://huggingface.co./rinna/japanese-gpt-neox-3.6b-instruction-sft", - "project_name": "japanese-gpt-neox-3.6b-instruction-sft", - "downloads": 1085, + "description": "recruit-jp/japanese-clip-vit-b-32-roberta-base Overview Developed by: Recruit Co.", + "url": "https://huggingface.co./recruit-jp/japanese-clip-vit-b-32-roberta-base", + "project_name": "japanese-clip-vit-b-32-roberta-base", + "downloads": 1396, "source": "Hugging Face", - "score": -0.09200452233862945, - "first_commit": "2023-05-17 02:16:28", - "latest_commit": "2024-07-20 07:56:34", + "score": -0.09251284353007269, + "first_commit": "2023-12-20 06:06:12", + "latest_commit": "2024-01-22 07:41:59", + "languages": [], + "model_or_dataset": "model", + "model_size": 0.198, + "model_architectures": "JapaneseCLIPModel" + }, + { + "description": "ELYZA-japanese-Llama-2-7b-instruct-gguf ELYZAさんが公開しているELYZA-japanese-Llama-2-7b-instructのggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/ELYZA-japanese-Llama-2-7b-instruct-gguf", + "project_name": "ELYZA-japanese-Llama-2-7b-instruct-gguf", + "downloads": 1364, + "source": "Hugging Face", + "score": -0.09301560694428763, + "first_commit": "2023-08-29 05:33:45", + "latest_commit": "2023-11-16 14:27:23", + "languages": [], + "model_or_dataset": "model", + "model_size": 6.74, + "model_architectures": null + }, + { + "description": "ELYZA-japanese-Llama-2-7b Model Description ELYZA-japanese-Llama-2-7b は、 Llama2をベースとして日本語能力を拡張するために追加事前学習を行ったモデルです。 ", + "url": "https://huggingface.co./elyza/ELYZA-japanese-Llama-2-7b-fast", + "project_name": "ELYZA-japanese-Llama-2-7b-fast", + "downloads": 1363, + "source": "Hugging Face", + "score": -0.09303131830098185, + "first_commit": "2023-08-28 13:17:58", + "latest_commit": "2023-08-29 03:46:37", + "languages": [], + "model_or_dataset": "model", + "model_size": null, + "model_architectures": "LlamaForCausalLM" + }, + { + "description": "Japanese-StableLM-Instruct-Beta-70B A cute robot wearing a kimono writes calligraphy with one single brush — Stable Diffusion XL Model Description japanese-stablelm-instruct-beta-70b is a 70B-parameter decoder-only language model based on japanese-stablelm-base-beta-70b and further fine tuned on Databricks Dolly-15k, Anthropic HH, and other public data.", + "url": "https://huggingface.co./stabilityai/japanese-stablelm-instruct-beta-70b", + "project_name": "japanese-stablelm-instruct-beta-70b", + "downloads": 1341, + "source": "Hugging Face", + "score": -0.09337696814825464, + "first_commit": "2023-10-30 07:47:31", + "latest_commit": "2023-12-19 06:45:10", + "languages": [], + "model_or_dataset": "model", + "model_size": 69.0, + "model_architectures": "LlamaForCausalLM" + }, + { + "description": "Swallow Our Swallow model has undergone continual pre-training from the Llama 2 family, primarily with the addition of Japanese language data.", + "url": "https://huggingface.co./tokyotech-llm/Swallow-13b-instruct-v0.1", + "project_name": "Swallow-13b-instruct-v0.1", + "downloads": 1335, + "source": "Hugging Face", + "score": -0.09347123628841994, + "first_commit": "2024-03-04 11:30:28", + "latest_commit": "2024-06-29 09:00:15", "languages": [], "model_or_dataset": "model", - 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"downloads": 1064, + "downloads": 1271, "source": "Hugging Face", - "score": -0.09232056733855869, + "score": -0.09447676311684983, "first_commit": "2024-06-12 19:35:20", "latest_commit": "2024-06-12 19:40:39", "languages": [], "model_or_dataset": "model", - "model_size": 7.46 + "model_size": 7.46, + "model_architectures": "LlavaForConditionalGeneration" }, { - "description": "Orion-14B 🌐English | 🇨", - "url": "https://huggingface.co./OrionStarAI/Orion-14B-Chat", - "project_name": "Orion-14B-Chat", - "downloads": 1051, + "description": "nlp-waseda/roberta-base-japanese Model description This is a Japanese RoBERTa base model pretrained on Japanese Wikipedia and the Japanese portion of CC-100.", + "url": "https://huggingface.co./nlp-waseda/roberta-base-japanese", + "project_name": "roberta-base-japanese", + "downloads": 1206, "source": "Hugging Face", - "score": -0.09251621424327679, - "first_commit": "2024-01-16 06:03:30", - "latest_commit": "2024-04-11 10:48:51", + "score": -0.09549800130197394, + "first_commit": "2021-12-20 05:12:06", + "latest_commit": "2022-10-21 14:46:36", "languages": [], "model_or_dataset": "model", - "model_size": 14.5 + "model_size": null, + "model_architectures": "RobertaForMaskedLM" }, { - "description": "llm-book/bert-base-japanese-v3-crf-ner-wikipedia-dataset 「大規模言語モデル入門」の第6章で紹介している固有表現認識のモデルです。 ", - "url": "https://huggingface.co./llm-book/bert-base-japanese-v3-crf-ner-wikipedia-dataset", - "project_name": "bert-base-japanese-v3-crf-ner-wikipedia-dataset", - "downloads": 1017, + "description": "ELYZA-japanese-Llama-2-13b-fast-instruct-gguf ELYZAさんが公開しているELYZA-japanese-Llama-2-13b-fast-instructのggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/ELYZA-japanese-Llama-2-13b-fast-instruct-gguf", + "project_name": "ELYZA-japanese-Llama-2-13b-fast-instruct-gguf", + "downloads": 1170, "source": "Hugging Face", - "score": -0.09302790614792412, - "first_commit": "2023-05-28 08:19:43", - "latest_commit": "2023-07-25 15:04:39", + "score": -0.09606361014296576, + "first_commit": "2023-12-27 09:46:04", + "latest_commit": "2023-12-27 11:39:18", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 13.1, + "model_architectures": null }, { - "description": "このツールは、複数のデータセットを横断して日本語の大規模言語モデルを自動評価するものです．", - "url": "https://github.com/llm-jp/llm-jp-eval", - "project_name": "llm-jp-eval", - "stargazers_count": 84, + "description": "rinna/nekomata-7b Overview We conduct continual pre-training of qwen-7b on 30B tokens from a mixture of Japanese and English datasets.", + "url": "https://huggingface.co./rinna/nekomata-7b", + "project_name": "nekomata-7b", + "downloads": 1155, + "source": "Hugging Face", + "score": -0.09629928049337902, + "first_commit": "2023-12-19 06:58:44", + "latest_commit": "2024-07-20 08:35:21", + "languages": [], + "model_or_dataset": "model", + "model_size": 7.72, + "model_architectures": "QWenLMHeadModel" + }, + { + "description": "In this study, we introduce a new dataset, WRIME, for emotional intensity estimation.", + "url": "https://huggingface.co./datasets/shunk031/wrime", + "project_name": "wrime", + "downloads": 1146, + "source": "Hugging Face", + "score": -0.09644068270362696, + "first_commit": "2023-01-12 10:43:54", + "latest_commit": "2023-01-15 12:39:01", + "languages": [], + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null + }, + { + "description": "HODACHI-EZO-Humanities-9B-gemma-2-it-gguf HODACHIさんが公開しているEZO-Humanities-9B-gemma-2-itのggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/HODACHI-EZO-Humanities-9B-gemma-2-it-gguf", + "project_name": "HODACHI-EZO-Humanities-9B-gemma-2-it-gguf", + "downloads": 1143, + "source": "Hugging Face", + "score": -0.09648781677370961, + "first_commit": "2024-07-15 15:43:00", + "latest_commit": "2024-07-15 17:01:09", + "languages": [], + "model_or_dataset": "model", + "model_size": 9.24, + "model_architectures": null + }, + { + "description": "hotchpotch/japanese-reranker-cross-encoder-large-v1 日本語で学習させた Reranker (CrossEncoder) シリーズです。 ", + "url": "https://huggingface.co./hotchpotch/japanese-reranker-cross-encoder-large-v1", + "project_name": "japanese-reranker-cross-encoder-large-v1", + "downloads": 1117, + "source": "Hugging Face", + "score": -0.09689631204775927, + "first_commit": "2024-03-28 20:53:30", + "latest_commit": "2024-04-01 02:39:45", + "languages": [], + "model_or_dataset": "model", + "model_size": 0.337, + "model_architectures": "BertForSequenceClassification" + }, + { + "description": "External dictionary importer for Yomichan.", + "url": "https://github.com/FooSoft/yomichan-import", + "project_name": "yomichan-import", + "stargazers_count": 82, "source": "GitHub", - "score": -0.09303730215776614, - "first_commit": "2023-10-19 19:36:10", - "latest_commit": "2024-07-18 21:31:53", + "score": -0.09695165087414902, + "first_commit": "2016-07-26 20:24:33", + "latest_commit": "2023-02-25 12:43:03", "languages": [ - "Python" + "Go" ], "model_or_dataset": null }, { - "description": "bilingual-gpt-neox-4b-instruction-ppo Overview This repository provides an English-Japanese bilingual GPT-NeoX model of 3.8 billion parameters.", - "url": "https://huggingface.co./rinna/bilingual-gpt-neox-4b-instruction-ppo", - "project_name": "bilingual-gpt-neox-4b-instruction-ppo", - "downloads": 976, - "source": "Hugging Face", - "score": -0.09364494638588122, - "first_commit": "2023-08-02 05:56:07", - "latest_commit": "2024-07-20 08:05:14", + "description": "日英変換・英語略語展開のための IME 追加辞書 orange_book 日本語から英語への和英変換や英語略語の展開を Google 日本語入力や ATOK などで可能にする IME 拡張辞書", + "url": "https://github.com/peaceiris/google-ime-dictionary", + "project_name": "google-ime-dictionary", + "stargazers_count": 82, + "source": "GitHub", + "score": -0.09695165087414902, + "first_commit": "2018-09-13 01:54:32", + "latest_commit": "2023-01-16 10:47:31", "languages": [], - "model_or_dataset": "model", - "model_size": 3.95 + "model_or_dataset": "dataset" }, { - "description": "ODEX is an Open-Domain EXecution-based NL-to-Code generation data benchmark.", - "url": "https://huggingface.co./datasets/neulab/odex", - "project_name": "odex", - "downloads": 976, + "description": "GitHub リポジトリ ids-cv/wrime で公開されているデータセットを利用しています。 ", + "url": "https://huggingface.co./datasets/llm-book/wrime-sentiment", + "project_name": "wrime-sentiment", + "downloads": 1103, "source": "Hugging Face", - "score": -0.09364494638588122, - "first_commit": "2023-01-06 14:30:00", - "latest_commit": "2023-02-10 18:01:34", + "score": -0.0971162710414783, + "first_commit": "2023-07-29 06:38:26", + "latest_commit": "2023-10-06 00:56:38", "languages": [], "model_or_dataset": "dataset", - "model_size": null + "model_size": null, + "model_architectures": null }, { - "description": "Japanese-StableLM-Instruct-Alpha-7B-v2 \"A parrot able to speak Japanese, ukiyoe, edo period\" — Stable Diffusion XL Model Description japanese-stablelm-instruct-alpha-7b-v2 is a 7B parameter decoder-only language models pre-trained built on top of the Japanese-StableLM-Base-Alpha-7B model and further fine-tuned on various instruction-following datasets.", - 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"score": -0.09390079233820489, - "first_commit": "2023-10-06 08:40:24", - "latest_commit": "2023-10-06 08:40:24", + "score": -0.09750905495883373, + "first_commit": "2024-03-31 06:42:39", + "latest_commit": "2024-03-31 08:16:43", "languages": [], - "model_or_dataset": "model", - "model_size": 7.01 + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null }, { - "description": "HODACHI-EZO-Common-T2-2B-gemma-2-it-gguf HODACHIさんが公開しているEZO-Common-T2-2B-gemma-2-itのggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/HODACHI-EZO-Common-T2-2B-gemma-2-it-gguf", - "project_name": "HODACHI-EZO-Common-T2-2B-gemma-2-it-gguf", - "downloads": 956, + "description": "ELYZA-japanese-Llama-2-13b-fast Model Description ELYZA-japanese-Llama-2-13b は、 Llama 2をベースとして日本語能力を拡張するために追加事前学習を行ったモデルです。 ", + "url": "https://huggingface.co./elyza/ELYZA-japanese-Llama-2-13b-fast", + "project_name": "ELYZA-japanese-Llama-2-13b-fast", + "downloads": 1077, "source": "Hugging Face", - "score": -0.09394594162390907, - "first_commit": "2024-08-01 17:32:31", - "latest_commit": "2024-08-01 18:38:31", + "score": -0.09752476631552795, + "first_commit": "2023-12-25 17:14:45", + "latest_commit": "2023-12-27 01:41:31", "languages": [], "model_or_dataset": "model", - "model_size": 2.61 + "model_size": null, + "model_architectures": "LlamaForCausalLM" }, { - "description": "stockmark/stockmark-100b Stockmark-100b is a 100 billion parameter LLM pretrained from scratch based on Japanese and English corpus of about 910 billion tokens.", - "url": "https://huggingface.co./stockmark/stockmark-100b", - "project_name": "stockmark-100b", - "downloads": 934, + "description": "Japanese-StableLM-Instruct-Alpha-7B-v2 \"A parrot able to speak Japanese, ukiyoe, edo period\" — Stable Diffusion XL Model Description japanese-stablelm-instruct-alpha-7b-v2 is a 7B parameter decoder-only language models pre-trained built on top of the Japanese-StableLM-Base-Alpha-7B model and further fine-tuned on various instruction-following datasets.", + "url": "https://huggingface.co./stabilityai/japanese-stablelm-instruct-alpha-7b-v2", + "project_name": "japanese-stablelm-instruct-alpha-7b-v2", + "downloads": 1074, "source": "Hugging Face", - "score": -0.0942770363857397, - "first_commit": "2024-05-13 09:31:40", - "latest_commit": "2024-05-15 06:18:10", + "score": -0.0975719003856106, + "first_commit": "2023-10-06 08:40:24", + "latest_commit": "2023-10-06 08:40:24", "languages": [], "model_or_dataset": "model", - "model_size": 96.2 + "model_size": 7.01, + "model_architectures": "JapaneseStableLMAlphaForCausalLM" }, { - "description": "recruit-jp/japanese-clip-vit-b-32-roberta-base Overview Developed by: Recruit Co.", - "url": "https://huggingface.co./recruit-jp/japanese-clip-vit-b-32-roberta-base", - "project_name": "japanese-clip-vit-b-32-roberta-base", - "downloads": 920, + "description": "🎈 FlexDreamHK FlexDreamHKはリークされたNovelAIモデルの入っていない、あるいはそのリスクを可能な限り低くしたモデルを目指して作成しました。 ", + "url": "https://huggingface.co./den2nova/FlexDreamHK", + "project_name": "FlexDreamHK", + "downloads": 1067, "source": "Hugging Face", - "score": -0.09448773305235919, - "first_commit": "2023-12-20 06:06:12", - "latest_commit": "2024-01-22 07:41:59", + "score": -0.09768187988247012, + "first_commit": "2023-07-06 10:11:45", + "latest_commit": "2023-07-29 04:21:29", "languages": [], "model_or_dataset": "model", - "model_size": 0.198 + "model_size": null, + "model_architectures": null }, { - "description": "BERT Base Japanese for Irony", - "url": "https://huggingface.co./kit-nlp/bert-base-japanese-sentiment-irony", - "project_name": "bert-base-japanese-sentiment-irony", - "downloads": 919, + "description": "gpt-neox-japanese-2.7b", + "url": "https://huggingface.co./abeja/gpt-neox-japanese-2.7b", + "project_name": "gpt-neox-japanese-2.7b", + "downloads": 1066, "source": "Hugging Face", - "score": -0.09450278281426058, - "first_commit": "2022-11-07 06:29:21", - "latest_commit": "2022-11-08 04:23:27", + "score": -0.09769759123916434, + "first_commit": "2022-08-29 02:15:44", + "latest_commit": "2023-04-10 05:12:30", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "GPTNeoXJapaneseForCausalLM" }, { - "description": "Model Card for Japanese BART base Model description This is a Japanese BART base model pre-trained on Japanese Wikipedia.", - "url": "https://huggingface.co./ku-nlp/bart-base-japanese", - "project_name": "bart-base-japanese", - "downloads": 911, + "description": "Ninja-v1-NSFW-gguf Local-Novel-LLM-projectさんが公開しているNinja-v1-NSFWのggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/Ninja-v1-NSFW-gguf", + "project_name": "Ninja-v1-NSFW-gguf", + "downloads": 1062, "source": "Hugging Face", - "score": -0.09462318090947172, - "first_commit": "2023-05-09 07:00:51", - "latest_commit": "2023-05-12 11:03:20", + "score": -0.0977604366659412, + "first_commit": "2024-05-03 14:03:23", + "latest_commit": "2024-05-04 13:26:52", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 7.24, + "model_architectures": null }, { "description": "japanese-large-lm-1.7b This repository provides a 1.7B parameters Japanese language model, trained by LINE Corporation.", "url": "https://huggingface.co./line-corporation/japanese-large-lm-1.7b", "project_name": "japanese-large-lm-1.7b", - "downloads": 905, + "downloads": 1059, "source": "Hugging Face", - "score": -0.09471347948088008, + "score": -0.09780757073602385, "first_commit": "2023-07-21 00:46:33", "latest_commit": "2023-08-17 01:06:37", "languages": [], "model_or_dataset": "model", - "model_size": 1.75 + "model_size": 1.75, + "model_architectures": "GPT2LMHeadModel" }, { - "description": "PLaMo-13B-Instruct Model Description PLaMo-13B-Instruct is an instruct fine-tuned model built upon the 8192 context length version of PLaMo-13B text generation model.", - "url": "https://huggingface.co./pfnet/plamo-13b-instruct", - "project_name": "plamo-13b-instruct", - "downloads": 899, + "description": "BERT Base Japanese for Irony", + "url": "https://huggingface.co./kit-nlp/bert-base-japanese-sentiment-irony", + "project_name": "bert-base-japanese-sentiment-irony", + "downloads": 1038, "source": "Hugging Face", - "score": -0.09480377805228843, - "first_commit": "2023-10-26 02:11:24", - "latest_commit": "2024-01-25 07:46:09", + "score": -0.09813750922660242, + "first_commit": "2022-11-07 06:29:21", + "latest_commit": "2022-11-08 04:23:27", "languages": [], "model_or_dataset": "model", - "model_size": 13.1 + "model_size": null, + "model_architectures": "BertForSequenceClassification" }, { - "description": "japanese-large-lm-3.6b-instruction-sft", - "url": "https://huggingface.co./line-corporation/japanese-large-lm-3.6b-instruction-sft", - "project_name": "japanese-large-lm-3.6b-instruction-sft", - "downloads": 899, + "description": "japanese-gpt-neox-3.6b-instruction-sft Overview This repository provides a Japanese GPT-NeoX model of 3.6 billion parameters.", + "url": "https://huggingface.co./rinna/japanese-gpt-neox-3.6b-instruction-sft", + "project_name": "japanese-gpt-neox-3.6b-instruction-sft", + "downloads": 1029, "source": "Hugging Face", - "score": -0.09480377805228843, - "first_commit": "2023-08-14 17:18:09", - "latest_commit": "2023-08-24 10:08:28", + "score": -0.09827891143685037, + "first_commit": "2023-05-17 02:16:28", + "latest_commit": "2024-07-20 07:56:34", "languages": [], "model_or_dataset": "model", - "model_size": 3.68 + "model_size": 3.76, + "model_architectures": "GPTNeoXForCausalLM" }, { "description": "OpenCALM-Medium Model Description OpenCALM is a suite of decoder-only language models pre-trained on Japanese datasets, developed by", "url": "https://huggingface.co./cyberagent/open-calm-medium", "project_name": "open-calm-medium", - "downloads": 890, + "downloads": 1011, "source": "Hugging Face", - "score": -0.09493922590940097, + "score": -0.09856171585734627, "first_commit": "2023-05-15 06:44:47", "latest_commit": "2023-05-18 01:10:54", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "GPTNeoXForCausalLM" }, { - "description": "stockmark-gpt-neox-japanese-1.4b-gguf stockmarkさんが公開しているgpt-neox-japanese-1.4bのggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/stockmark-gpt-neox-japanese-1.4b-gguf", - "project_name": "stockmark-gpt-neox-japanese-1.4b-gguf", - "downloads": 887, + "description": "Model card for model ID", + "url": "https://huggingface.co./retrieva-jp/t5-small-short", + "project_name": "t5-small-short", + "downloads": 990, "source": "Hugging Face", - "score": -0.09498437519510515, - "first_commit": "2023-08-22 12:45:18", - "latest_commit": "2023-09-08 22:00:37", + "score": -0.09889165434792484, + "first_commit": "2023-04-25 04:37:20", + "latest_commit": "2023-05-10 09:55:39", "languages": [], "model_or_dataset": "model", - "model_size": 1.41 + "model_size": null, + "model_architectures": "T5ForConditionalGeneration" }, { - "description": "hotchpotch/japanese-reranker-cross-encoder-base-v1 日本語で学習させた Reranker (CrossEncoder) シリーズです。 ", - "url": "https://huggingface.co./hotchpotch/japanese-reranker-cross-encoder-base-v1", - "project_name": "japanese-reranker-cross-encoder-base-v1", - "downloads": 885, + "description": "Swallow Our Swallow model has undergone continual pre-training from the Llama 2 family, primarily with the addition of Japanese language data.", + "url": "https://huggingface.co./tokyotech-llm/Swallow-70b-hf", + "project_name": "Swallow-70b-hf", + "downloads": 978, "source": "Hugging Face", - "score": -0.09501447471890793, - "first_commit": "2024-03-29 07:07:38", - "latest_commit": "2024-04-01 02:39:31", + "score": -0.09908019062825545, + "first_commit": "2023-11-25 02:13:04", + "latest_commit": "2024-06-29 08:56:23", "languages": [], "model_or_dataset": "model", - "model_size": 0.111 + "model_size": null, + "model_architectures": "LlamaForCausalLM" }, { - "description": "japanese-stablelm-2-instruct-1_6b-gguf stabilityaiさんが公開しているjapanese-stablelm-2-instruct-1_6bのggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/japanese-stablelm-2-instruct-1_6b-gguf", - "project_name": "japanese-stablelm-2-instruct-1_6b-gguf", - "downloads": 884, + "description": "japanese-large-lm-3.6b-instruction-sft", + "url": "https://huggingface.co./line-corporation/japanese-large-lm-3.6b-instruction-sft", + "project_name": "japanese-large-lm-3.6b-instruction-sft", + "downloads": 971, "source": "Hugging Face", - "score": -0.09502952448080933, - "first_commit": "2024-05-11 07:26:43", - "latest_commit": "2024-05-11 09:56:19", + "score": -0.09919017012511495, + "first_commit": "2023-08-14 17:18:09", + "latest_commit": "2023-08-24 10:08:28", "languages": [], "model_or_dataset": "model", - "model_size": 1.64 + "model_size": 3.68, + "model_architectures": "GPTNeoXForCausalLM" }, { - "description": "alabnii/jmedroberta-base-sentencepiece Model description This is a Japanese RoBERTa base model pre-trained on academic articles in medical sciences collected by Japan Science and Technology Agency (JST).", - "url": "https://huggingface.co./alabnii/jmedroberta-base-sentencepiece", - "project_name": "jmedroberta-base-sentencepiece", - "downloads": 875, + "description": "Llama-3.1-70B-Instruct-gguf meta-llamaさんが公開しているMeta-Llama-3.1-70B-Instructのggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/Llama-3.1-70B-Instruct-gguf", + "project_name": "Llama-3.1-70B-Instruct-gguf", + "downloads": 967, "source": "Hugging Face", - "score": -0.09516497233792186, - "first_commit": "2022-12-22 17:20:33", - "latest_commit": "2023-03-21 23:57:37", + "score": -0.09925301555189182, + "first_commit": "2024-07-23 17:25:23", + "latest_commit": "2024-07-24 21:04:27", "languages": [], "model_or_dataset": "model", - "model_size": 0.109 + "model_size": 70.6, + "model_architectures": null }, { - "description": "rinna/japanese-wav2vec2-base Overview This is a Japanese wav2vec 2.0 Base model trained by rinna Co.", - "url": "https://huggingface.co./rinna/japanese-wav2vec2-base", - "project_name": "japanese-wav2vec2-base", - "downloads": 873, + "description": "PLaMo-13B-Instruct Model Description PLaMo-13B-Instruct is an instruct fine-tuned model built upon the 8192 context length version of PLaMo-13B text generation model.", + "url": "https://huggingface.co./pfnet/plamo-13b-instruct", + "project_name": "plamo-13b-instruct", + "downloads": 961, "source": "Hugging Face", - "score": -0.09519507186172464, - "first_commit": "2024-03-06 01:07:56", - "latest_commit": "2024-07-22 08:11:46", + "score": -0.09934728369205713, + "first_commit": "2023-10-26 02:11:24", + "latest_commit": "2024-01-25 07:46:09", "languages": [], "model_or_dataset": "model", - "model_size": 0.095 + "model_size": 13.1, + "model_architectures": "PlamoForCausalLM" }, { - "description": "Mistral-Nemo-Instruct-2407-gguf mistralaiさんが公開しているMistral-Nemo-Instruct-2407のggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/Mistral-Nemo-Instruct-2407-gguf", - "project_name": "Mistral-Nemo-Instruct-2407-gguf", - "downloads": 858, + "description": "Please feel free to open an issue or pull request. ", + "url": "https://huggingface.co./datasets/kumapo/JAQKET", + "project_name": "JAQKET", + "downloads": 956, "source": "Hugging Face", - "score": -0.09542081829024553, - "first_commit": "2024-07-22 13:28:13", - "latest_commit": "2024-07-22 17:25:48", + "score": -0.09942584047552822, + "first_commit": "2023-06-21 13:04:38", + "latest_commit": "2023-10-09 06:44:28", + "languages": [], + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null + }, + { + "description": "LLaVA-JP Model Card Model detail Model type: LLaVA-JP is a vision-language model that can converse about input images.", + "url": "https://huggingface.co./toshi456/llava-jp-1.3b-v1.0", + "project_name": "llava-jp-1.3b-v1.0", + "downloads": 951, + "source": "Hugging Face", + "score": -0.0995043972589993, + "first_commit": "2023-12-04 13:13:03", + "latest_commit": "2023-12-18 10:21:11", "languages": [], "model_or_dataset": "model", - "model_size": 12.2 + "model_size": 1.73, + "model_architectures": "LlavaGpt2ForCausalLM" }, { - "description": "ELYZA-japanese-Llama-2-7b-fast-gguf ELYZAさんが公開しているELYZA-japanese-Llama-2-7b-fastのggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/ELYZA-japanese-Llama-2-7b-fast-gguf", - "project_name": "ELYZA-japanese-Llama-2-7b-fast-gguf", - "downloads": 856, + "description": "Model Card for Japanese BART base Model description This is a Japanese BART base model pre-trained on Japanese Wikipedia.", + "url": "https://huggingface.co./ku-nlp/bart-base-japanese", + "project_name": "bart-base-japanese", + "downloads": 942, "source": "Hugging Face", - "score": -0.09545091781404831, - "first_commit": "2023-08-29 07:23:20", - "latest_commit": "2023-11-16 14:27:36", + "score": -0.09964579946924726, + "first_commit": "2023-05-09 07:00:51", + "latest_commit": "2023-05-12 11:03:20", "languages": [], "model_or_dataset": "model", - "model_size": 6.85 + "model_size": null, + "model_architectures": "MBartForConditionalGeneration" }, { - "description": "Japanese StableLM-3B-4E1T Instruct Model Description", - "url": "https://huggingface.co./stabilityai/japanese-stablelm-3b-4e1t-instruct", - "project_name": "japanese-stablelm-3b-4e1t-instruct", - "downloads": 836, + "description": "HODACHI-Borea-Phi-3.5-mini-Instruct-Jp-gguf HODACHIさんが公開しているBorea-Phi-3.5-mini-Instruct-Jpのggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/HODACHI-Borea-Phi-3.5-mini-Instruct-Jp-gguf", + "project_name": "HODACHI-Borea-Phi-3.5-mini-Instruct-Jp-gguf", + "downloads": 942, "source": "Hugging Face", - "score": -0.09575191305207616, - "first_commit": "2023-10-16 07:50:31", - "latest_commit": "2024-04-26 03:20:42", + "score": -0.09964579946924726, + "first_commit": "2024-08-21 09:58:41", + "latest_commit": "2024-08-21 11:08:38", "languages": [], "model_or_dataset": "model", - "model_size": 2.8 + "model_size": 3.82, + "model_architectures": null }, { - "description": "hubert-base-jtube This repo provides model weights for the hubert-base model trained on the JTubeSpeech corpus. ", - "url": "https://huggingface.co./sarulab-speech/hubert-base-jtube", - "project_name": "hubert-base-jtube", - "downloads": 830, + "description": "HODACHI-EZO-Common-T2-2B-gemma-2-it-gguf HODACHIさんが公開しているEZO-Common-T2-2B-gemma-2-itのggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/HODACHI-EZO-Common-T2-2B-gemma-2-it-gguf", + "project_name": "HODACHI-EZO-Common-T2-2B-gemma-2-it-gguf", + "downloads": 928, "source": "Hugging Face", - "score": -0.09584221162348451, - "first_commit": "2024-02-02 04:15:22", - "latest_commit": "2024-02-05 11:49:57", + "score": -0.09986575846296629, + "first_commit": "2024-08-01 17:32:31", + "latest_commit": "2024-08-01 18:38:31", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 2.61, + "model_architectures": null }, { - "description": "llm-lora-classification", - "url": "https://github.com/hppRC/llm-lora-classification", - "project_name": "llm-lora-classification", - "stargazers_count": 83, + "description": "databricks/dolly-v2-12b の学習データに使用されたdatabricks-dolly-15k.jsonl を日本語に翻訳したデータセットになります。", + "url": "https://github.com/kunishou/databricks-dolly-15k-ja", + "project_name": "databricks-dolly-15k-ja", + "stargazers_count": 81, "source": "GitHub", - "score": -0.09596034265548843, - "first_commit": "2023-07-17 12:42:57", - "latest_commit": "2023-07-22 19:46:45", - "languages": [ - "Python" - ], - "model_or_dataset": null + "score": -0.09988319288674681, + "first_commit": "2023-04-14 23:43:27", + "latest_commit": "2023-07-26 00:08:32", + "languages": [], + "model_or_dataset": "dataset" }, { - "description": "Word2vec (word to vectors) approach for Japanese language using Gensim and Mecab.", - "url": "https://github.com/philipperemy/japanese-words-to-vectors", - "project_name": "japanese-words-to-vectors", - "stargazers_count": 83, - "source": "GitHub", - "score": -0.09596034265548843, - "first_commit": "2016-09-04 09:43:00", - "latest_commit": "2020-08-09 19:48:23", - "languages": [ - "Python" - ], - "model_or_dataset": "model" + "description": "Swallow Our Swallow model has undergone continual pre-training from the Llama 2 family, primarily with the addition of Japanese language data.", + "url": "https://huggingface.co./tokyotech-llm/Swallow-70b-instruct-v0.1", + "project_name": "Swallow-70b-instruct-v0.1", + "downloads": 925, + "source": "Hugging Face", + "score": -0.09991289253304894, + "first_commit": "2024-03-06 14:39:34", + "latest_commit": "2024-06-29 09:00:17", + "languages": [], + "model_or_dataset": "model", + "model_size": 69.2, + "model_architectures": "LlamaForCausalLM" }, { - "description": "calm3-22b-RP-GGUF 概要 Aratako/calm3-22b-RPの量子化済みGGUF版です。", - "url": "https://huggingface.co./Aratako/calm3-22b-RP-GGUF", - "project_name": "calm3-22b-RP-GGUF", - "downloads": 819, + "description": "Llama-3.1-70B-EZO-1.1-it-gguf HODACHIさんが公開しているLlama-3.1-70B-EZO-1.1-itのggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/Llama-3.1-70B-EZO-1.1-it-gguf", + "project_name": "Llama-3.1-70B-EZO-1.1-it-gguf", + "downloads": 881, "source": "Hugging Face", - "score": -0.09600775900439983, - "first_commit": "2024-08-21 01:13:32", - "latest_commit": "2024-08-21 13:26:35", + "score": -0.1006041922275945, + "first_commit": "2024-07-31 12:12:13", + "latest_commit": "2024-07-31 21:47:25", "languages": [], "model_or_dataset": "model", - "model_size": 22.5 + "model_size": 70.6, + "model_architectures": null }, { - "description": "shisa-base-7b-v1 shisa-base-7b-v1 takes Mistral 7B and adds an additional 8B tokens of primarily Japanese pre-training.", - "url": "https://huggingface.co./augmxnt/shisa-base-7b-v1", - "project_name": "shisa-base-7b-v1", - "downloads": 771, + "description": "hotchpotch/japanese-reranker-cross-encoder-base-v1 日本語で学習させた Reranker (CrossEncoder) シリーズです。 ", + "url": "https://huggingface.co./hotchpotch/japanese-reranker-cross-encoder-base-v1", + "project_name": "japanese-reranker-cross-encoder-base-v1", + "downloads": 865, "source": "Hugging Face", - "score": -0.09673014757566667, - "first_commit": "2023-11-19 09:44:36", - "latest_commit": "2023-12-09 10:34:29", + "score": -0.10085557393470197, + "first_commit": "2024-03-29 07:07:38", + "latest_commit": "2024-04-01 02:39:31", "languages": [], "model_or_dataset": "model", - "model_size": 7.96 + "model_size": 0.111, + "model_architectures": "BertForSequenceClassification" }, { - "description": "Shisa 7B Shisa 7B (shisa-7b-v1)", - "url": "https://huggingface.co./augmxnt/shisa-7b-v1", - "project_name": "shisa-7b-v1", - "downloads": 767, + "description": "Swallow Our Swallow model has undergone continual pre-training from the Llama 2 family, primarily with the addition of Japanese language data.", + "url": "https://huggingface.co./tokyotech-llm/Swallow-7b-plus-hf", + "project_name": "Swallow-7b-plus-hf", + "downloads": 864, "source": "Hugging Face", - "score": -0.09679034662327224, - "first_commit": "2023-11-27 17:55:31", - "latest_commit": "2023-12-20 18:11:13", + "score": -0.10087128529139619, + "first_commit": "2024-02-29 11:28:52", + "latest_commit": "2024-06-29 08:56:19", "languages": [], "model_or_dataset": "model", - "model_size": 7.96 + "model_size": null, + "model_architectures": "LlamaForCausalLM" }, { - "description": "albert-base-japanese-v1 日本語事前学習済みALBERTモデルです How to use ファインチューニング このモデルはPreTrainedモデルです基本的には各種タスク用にファインチューニングして使用されることを想定しています Fill-Mask このモデルではTokenizerにSentencepieceを利用していますそのままでは[MASK]トークンのあとに余計なトークンが混入する問題があるので、利用する際には以下のようにする必要があります for PyTorch from transformers import ( AlbertForMaskedLM, AlbertTokenizerFast ) import torch tokenizer = AlbertTokenizerFast.from_pretrained(\"ken11/albert-base-japanese-v1\")", - "url": "https://huggingface.co./ken11/albert-base-japanese-v1", - "project_name": "albert-base-japanese-v1", - "downloads": 767, + "description": "nlp-waseda/roberta-large-japanese-seq512 Model description This is a Japanese RoBERTa large model pretrained on Japanese Wikipedia and the Japanese portion of CC-100 with the maximum sequence length of 512.", + "url": "https://huggingface.co./nlp-waseda/roberta-large-japanese-seq512", + "project_name": "roberta-large-japanese-seq512", + "downloads": 840, "source": "Hugging Face", - "score": -0.09679034662327224, - "first_commit": "2021-12-19 17:07:14", - "latest_commit": "2021-12-22 03:04:30", + "score": -0.1012483578520574, + "first_commit": "2022-06-13 09:46:45", + "latest_commit": "2022-10-21 14:49:40", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "RobertaForMaskedLM" }, { - "description": "bilingual-gpt-neox-4b-8k Overview Notice: This model requires transformers>=4.31.0 to work properly.", - "url": "https://huggingface.co./rinna/bilingual-gpt-neox-4b-8k", - "project_name": "bilingual-gpt-neox-4b-8k", - "downloads": 764, + "description": "HODACHI-Borea-Phi-3.5-mini-Instruct-Common-gguf HODACHIさんが公開しているBorea-Phi-3.5-mini-Instruct-Commonのggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/HODACHI-Borea-Phi-3.5-mini-Instruct-Common-gguf", + "project_name": "HODACHI-Borea-Phi-3.5-mini-Instruct-Common-gguf", + "downloads": 832, "source": "Hugging Face", - "score": -0.09683549590897642, - "first_commit": "2023-07-31 02:34:21", - "latest_commit": "2024-07-20 08:03:16", + "score": -0.10137404870561113, + "first_commit": "2024-08-21 10:33:58", + "latest_commit": "2024-08-21 11:42:56", "languages": [], "model_or_dataset": "model", - "model_size": 3.95 + "model_size": 3.82, + "model_architectures": null }, { - "description": "rinna-llama-3-youko-8b-gguf rinnaさんが公開しているllama-3-youko-8bのggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/rinna-llama-3-youko-8b-gguf", - "project_name": "rinna-llama-3-youko-8b-gguf", - "downloads": 758, + "description": "ODEX is an Open-Domain EXecution-based NL-to-Code generation data benchmark.", + "url": "https://huggingface.co./datasets/neulab/odex", + "project_name": "odex", + "downloads": 809, "source": "Hugging Face", - "score": -0.09692579448038477, - "first_commit": "2024-05-01 14:17:53", - "latest_commit": "2024-05-01 15:11:21", + "score": -0.10173540990957813, + "first_commit": "2023-01-06 14:30:00", + "latest_commit": "2023-02-10 18:01:34", + "languages": [], + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null + }, + { + "description": "stockmark/stockmark-100b Stockmark-100b is a 100 billion parameter LLM pretrained from scratch based on Japanese and English corpus of about 910 billion tokens.", + "url": "https://huggingface.co./stockmark/stockmark-100b", + "project_name": "stockmark-100b", + "downloads": 803, + "source": "Hugging Face", + "score": -0.10182967804974342, + "first_commit": "2024-05-13 09:31:40", + "latest_commit": "2024-05-15 06:18:10", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": 96.2, + "model_architectures": "LlamaForCausalLM" }, { "description": "This is the filtered Japanese subset of XL-Sum followed by PaLM 2 filters 15-gram overlap * code: https://gist.github.com/mkshing/d6371cbfdd50d4f352cee247fd4dd86a number of examples train: 4215 (before: 7113) validation: 758 (before: 889) test: 766 (before: 889)", "url": "https://huggingface.co./datasets/mkshing/xlsum_ja", "project_name": "xlsum_ja", - "downloads": 754, + "downloads": 802, "source": "Hugging Face", - "score": -0.09698599352799034, - "first_commit": null, - "latest_commit": null, + "score": -0.10184538940643764, + "first_commit": "2023-06-16 04:15:41", + "latest_commit": "2023-06-20 23:28:48", "languages": [], "model_or_dataset": "dataset", - "model_size": null + "model_size": null, + "model_architectures": null }, { - "description": "Orion-14B 🌐English | 🇨", - "url": "https://huggingface.co./OrionStarAI/Orion-14B-Base", - "project_name": "Orion-14B-Base", - "downloads": 749, + "description": "Japanese StableLM-3B-4E1T Instruct Model Description", + "url": "https://huggingface.co./stabilityai/japanese-stablelm-3b-4e1t-instruct", + "project_name": "japanese-stablelm-3b-4e1t-instruct", + "downloads": 791, "source": "Hugging Face", - "score": -0.0970612423374973, - "first_commit": "2024-01-16 06:07:42", - "latest_commit": "2024-03-26 09:21:52", + "score": -0.10201821433007403, + "first_commit": "2023-10-16 07:50:31", + "latest_commit": "2024-04-26 03:20:42", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 2.8, + "model_architectures": "StableLMEpochForCausalLM" }, { - "description": "Model Card for Model ID Original model elyza/ELYZA-japanese-Llama-2-7b-fast-instruct which is based on Meta's \"Llama 2\" and has undergone additional pre-training in Japanese, and thier original post-training and speed up tuning.", - "url": "https://huggingface.co./dahara1/ELYZA-japanese-Llama-2-7b-fast-instruct-GPTQ", - "project_name": "ELYZA-japanese-Llama-2-7b-fast-instruct-GPTQ", - "downloads": 735, + "description": "Llama-3-ELYZA-JP-8B-AWQ Model Description Llama-3-ELYZA-JP-8B is a large language model trained by ELYZA, Inc.", + "url": "https://huggingface.co./elyza/Llama-3-ELYZA-JP-8B-AWQ", + "project_name": "Llama-3-ELYZA-JP-8B-AWQ", + "downloads": 782, "source": "Hugging Face", - "score": -0.09727193900411679, - "first_commit": "2023-08-30 09:18:50", - "latest_commit": "2023-11-14 00:10:58", + "score": -0.10215961654032199, + "first_commit": "2024-06-25 04:31:31", + "latest_commit": "2024-06-26 02:56:39", "languages": [], "model_or_dataset": "model", - "model_size": 1.24 + "model_size": 1.98, + "model_architectures": "LlamaForCausalLM" }, { - "description": "aixsatoshi-Llama-3-8b-Cosmopedia-japanese-gguf aixsatoshiさんが公開しているLlama-3-8b-Cosmopedia-japaneseのggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/aixsatoshi-Llama-3-8b-Cosmopedia-japanese-gguf", - "project_name": "aixsatoshi-Llama-3-8b-Cosmopedia-japanese-gguf", - "downloads": 730, + "description": "ELYZA-japanese-Llama-2-7b-fast-gguf ELYZAさんが公開しているELYZA-japanese-Llama-2-7b-fastのggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/ELYZA-japanese-Llama-2-7b-fast-gguf", + "project_name": "ELYZA-japanese-Llama-2-7b-fast-gguf", + "downloads": 760, "source": "Hugging Face", - "score": -0.09734718781362375, - "first_commit": "2024-05-01 12:36:43", - "latest_commit": "2024-05-19 08:27:21", + "score": -0.10250526638759476, + "first_commit": "2023-08-29 07:23:20", + "latest_commit": "2023-11-16 14:27:36", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": 6.85, + "model_architectures": null }, { - "description": "weblab-10b-instruction-sft-GPTQ Original model weblab-10b-instruction-sft which is a Japanese-centric multilingual GPT-NeoX model of 10 billion parameters created by matsuo-lab Takeshi Kojima.", - "url": "https://huggingface.co./dahara1/weblab-10b-instruction-sft-GPTQ", - "project_name": "weblab-10b-instruction-sft-GPTQ", - "downloads": 724, + "description": "Shisa 7B Shisa 7B (shisa-7b-v1)", + "url": "https://huggingface.co./augmxnt/shisa-7b-v1", + "project_name": "shisa-7b-v1", + "downloads": 754, "source": "Hugging Face", - "score": -0.09743748638503211, - "first_commit": "2023-08-21 05:45:35", - "latest_commit": "2023-11-14 00:24:22", + "score": -0.10259953452776006, + "first_commit": "2023-11-27 17:55:31", + "latest_commit": "2023-12-20 18:11:13", "languages": [], "model_or_dataset": "model", - "model_size": 1.86 + "model_size": 7.96, + "model_architectures": "MistralForCausalLM" }, { - "description": "Please feel free to open an issue or pull request. ", - "url": "https://huggingface.co./datasets/kumapo/JAQKET", - "project_name": "JAQKET", - "downloads": 724, + "description": "shisa-base-7b-v1 shisa-base-7b-v1 takes Mistral 7B and adds an additional 8B tokens of primarily Japanese pre-training.", + "url": "https://huggingface.co./augmxnt/shisa-base-7b-v1", + "project_name": "shisa-base-7b-v1", + "downloads": 749, "source": "Hugging Face", - "score": -0.09743748638503211, - "first_commit": "2023-06-21 13:04:38", - "latest_commit": "2023-10-09 06:44:28", + "score": -0.10267809131123115, + "first_commit": "2023-11-19 09:44:36", + "latest_commit": "2023-12-09 10:34:29", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": 7.96, + "model_architectures": "MistralForCausalLM" }, { - "description": "In this study, we introduce a new dataset, WRIME, for emotional intensity estimation.", - "url": "https://huggingface.co./datasets/shunk031/wrime", - "project_name": "wrime", - "downloads": 717, - "source": "Hugging Face", - "score": -0.09754283471834185, - "first_commit": null, - "latest_commit": null, + "description": "Python library for CJK (Chinese, Japanese, and Korean) language dictionary", + "url": "https://github.com/cihai/cihai", + "project_name": "cihai", + "stargazers_count": 80, + "source": "GitHub", + "score": -0.1028147348993446, + "first_commit": "2013-12-03 09:42:52", + "latest_commit": "2024-08-10 13:13:53", + "languages": [ + "Python" + ], + "model_or_dataset": null + }, + { + "description": "Neologism dictionary based on the language resources on the Web for mecab-unidic", + "url": "https://github.com/neologd/mecab-unidic-neologd", + "project_name": "mecab-unidic-neologd", + "stargazers_count": 80, + "source": "GitHub", + "score": -0.1028147348993446, + "first_commit": "2015-03-19 10:52:02", + "latest_commit": "2020-09-14 19:58:39", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "dataset" }, { - "description": "HODACHI-Borea-Phi-3.5-mini-Instruct-Jp-gguf HODACHIさんが公開しているBorea-Phi-3.5-mini-Instruct-Jpのggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/HODACHI-Borea-Phi-3.5-mini-Instruct-Jp-gguf", - "project_name": "HODACHI-Borea-Phi-3.5-mini-Instruct-Jp-gguf", - "downloads": 715, + "description": "Orion-14B 🌐English | 🇨", + "url": "https://huggingface.co./OrionStarAI/Orion-14B-Base", + "project_name": "Orion-14B-Base", + "downloads": 735, "source": "Hugging Face", - "score": -0.09757293424214464, - "first_commit": "2024-08-21 09:58:41", - "latest_commit": "2024-08-21 11:08:38", + "score": -0.1028980503049502, + "first_commit": "2024-01-16 06:07:42", + "latest_commit": "2024-03-26 09:21:52", "languages": [], "model_or_dataset": "model", - "model_size": 3.82 + "model_size": null, + "model_architectures": "OrionForCausalLM" }, { - "description": "Parakeet TDT-CTC 0.6B (ja) | | parakeet-tdt_ctc-0.6b-ja is an ASR model that transcribes Japanese speech with Punctuations.", - "url": "https://huggingface.co./nvidia/parakeet-tdt_ctc-0.6b-ja", - "project_name": "parakeet-tdt_ctc-0.6b-ja", - "downloads": 710, + "description": "weblab-10b-instruction-sft-GPTQ Original model weblab-10b-instruction-sft which is a Japanese-centric multilingual GPT-NeoX model of 10 billion parameters created by matsuo-lab Takeshi Kojima.", + "url": "https://huggingface.co./dahara1/weblab-10b-instruction-sft-GPTQ", + "project_name": "weblab-10b-instruction-sft-GPTQ", + "downloads": 716, "source": "Hugging Face", - 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"model_size": 24.2 + "model_size": 8.03, + "model_architectures": "LlamaForCausalLM" }, { - "description": "This is a Japanese translated version of HumanEval, an evaluation harness for the HumanEval problem solving dataset described in the paper \"Evaluating Large Language Models Trained on Code\".", - "url": "https://huggingface.co./datasets/kogi-jwu/jhumaneval", - "project_name": "jhumaneval", - "downloads": 671, + "description": "Parakeet TDT-CTC 0.6B (ja) | | parakeet-tdt_ctc-0.6b-ja is an ASR model that transcribes Japanese speech with Punctuations.", + "url": "https://huggingface.co./nvidia/parakeet-tdt_ctc-0.6b-ja", + "project_name": "parakeet-tdt_ctc-0.6b-ja", + "downloads": 708, "source": "Hugging Face", - "score": -0.0982351237658059, - "first_commit": "2023-10-21 08:20:14", - "latest_commit": "2024-01-10 21:52:35", + "score": -0.10332225693569405, + "first_commit": "2024-05-13 15:39:30", + "latest_commit": "2024-05-17 17:20:17", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": null, + "model_architectures": null }, { - "description": "HODACHI様の Llama-3.1-8B-EZO-1.1-it をGGUF形式に変換したものです。 ", - "url": "https://huggingface.co./MCZK/Llama-3.1-8B-EZO-1.1-it-GGUF", - "project_name": "Llama-3.1-8B-EZO-1.1-it-GGUF", - "downloads": 664, + "description": "Orion-14B 🌐English | 🇨", + "url": "https://huggingface.co./OrionStarAI/Orion-14B-Chat", + "project_name": "Orion-14B-Chat", + "downloads": 706, "source": "Hugging Face", - "score": -0.09834047209911566, - "first_commit": "2024-07-31 12:12:01", - "latest_commit": "2024-07-31 18:13:59", + "score": -0.10335367964908249, + "first_commit": "2024-01-16 06:03:30", + "latest_commit": "2024-04-11 10:48:51", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": 14.5, + "model_architectures": "OrionForCausalLM" }, { - "description": "japanese-gpt-neox-3.6b-instruction-sft-v2 Overview", - "url": "https://huggingface.co./rinna/japanese-gpt-neox-3.6b-instruction-sft-v2", - "project_name": "japanese-gpt-neox-3.6b-instruction-sft-v2", - "downloads": 660, + "description": "bilingual-gpt-neox-4b-8k Overview Notice: This model requires transformers>=4.31.0 to work properly.", + "url": "https://huggingface.co./rinna/bilingual-gpt-neox-4b-8k", + "project_name": "bilingual-gpt-neox-4b-8k", + "downloads": 688, "source": "Hugging Face", - "score": -0.09840067114672123, - "first_commit": "2023-05-30 01:50:25", - "latest_commit": "2024-07-20 07:57:35", + "score": -0.1036364840695784, + "first_commit": "2023-07-31 02:34:21", + "latest_commit": "2024-07-20 08:03:16", "languages": [], "model_or_dataset": "model", - "model_size": 3.76 + "model_size": 3.95, + "model_architectures": "GPTNeoXForCausalLM" }, { - "description": "このモデルは何？ ", - "url": "https://huggingface.co./Lasorco/lametta", - "project_name": "lametta", - "downloads": 658, + "description": "stockmark/gpt-neox-japanese-1.4b This repository provides a GPT-NeoX based model with 1.4B parameters pre-trained on Japanese corpus of about 20B tokens.", + "url": "https://huggingface.co./stockmark/gpt-neox-japanese-1.4b", + "project_name": "gpt-neox-japanese-1.4b", + "downloads": 677, "source": "Hugging Face", - "score": -0.09843077067052401, - "first_commit": "2023-03-28 14:29:55", - "latest_commit": "2023-11-08 07:37:12", + "score": -0.10380930899321479, + "first_commit": "2023-08-06 07:37:38", + "latest_commit": "2023-09-07 03:44:19", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 1.44, + "model_architectures": "GPTNeoXForCausalLM" }, { - "description": "QuantFactory/Llama3.1-ArrowSE-v0.4-GGUF This is quantized version of DataPilot/Llama3.1-ArrowSE-v0.4 created using llama.cpp Original Model Card 概要 このモデルはllama3.1-8B-instructをもとに日本語性能を高めることを目的にMergekit&ファインチューニングを用いて作成されました。 ", - "url": "https://huggingface.co./QuantFactory/Llama3.1-ArrowSE-v0.4-GGUF", - "project_name": "Llama3.1-ArrowSE-v0.4-GGUF", - "downloads": 656, + "description": "hotchpotch/japanese-bge-reranker-v2-m3-v1 日本語で学習させた Reranker (CrossEncoder) シリーズです。 ", + "url": "https://huggingface.co./hotchpotch/japanese-bge-reranker-v2-m3-v1", + "project_name": "japanese-bge-reranker-v2-m3-v1", + "downloads": 673, "source": "Hugging Face", - "score": -0.0984608701943268, - "first_commit": "2024-07-28 06:17:48", - "latest_commit": "2024-07-28 06:57:40", + "score": -0.10387215441999165, + "first_commit": "2024-03-28 20:45:16", + "latest_commit": "2024-04-01 02:40:22", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": 0.5680000000000001, + "model_architectures": "XLMRobertaForSequenceClassification" }, { - "description": "Fish Speech V1.2 Fish Speech V1.2 is a leading text-to-speech (TTS) model trained on 300k hours of English, Chinese, and Japanese audio data.", - "url": "https://huggingface.co./fishaudio/fish-speech-1.2", - "project_name": "fish-speech-1.2", - "downloads": 645, + "description": "Swallow Our Swallow model has undergone continual pre-training from the Llama 2 family, primarily with the addition of Japanese language data.", + "url": "https://huggingface.co./tokyotech-llm/Swallow-70b-NVE-instruct-hf", + "project_name": "Swallow-70b-NVE-instruct-hf", + "downloads": 671, "source": "Hugging Face", - "score": -0.09862641757524211, - "first_commit": "2024-07-02 04:24:09", - "latest_commit": "2024-07-02 04:31:26", + "score": -0.10390357713338008, + "first_commit": "2023-12-13 03:56:30", + "latest_commit": "2024-07-06 15:18:24", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 69.0, + "model_architectures": "LlamaForCausalLM" }, { - "description": "hotchpotch/japanese-bge-reranker-v2-m3-v1 日本語で学習させた Reranker (CrossEncoder) シリーズです。 ", - "url": "https://huggingface.co./hotchpotch/japanese-bge-reranker-v2-m3-v1", - "project_name": "japanese-bge-reranker-v2-m3-v1", - "downloads": 645, + "description": "japanese-stablelm-2-instruct-1_6b-gguf stabilityaiさんが公開しているjapanese-stablelm-2-instruct-1_6bのggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/japanese-stablelm-2-instruct-1_6b-gguf", + "project_name": "japanese-stablelm-2-instruct-1_6b-gguf", + "downloads": 663, "source": "Hugging Face", - "score": -0.09862641757524211, - "first_commit": "2024-03-28 20:45:16", - "latest_commit": "2024-04-01 02:40:22", + "score": -0.10402926798693382, + "first_commit": "2024-05-11 07:26:43", + "latest_commit": "2024-05-11 09:56:19", "languages": [], "model_or_dataset": "model", - "model_size": 0.5680000000000001 + "model_size": 1.64, + "model_architectures": null }, { - "description": "rinna/nekomata-14b Overview We conduct continual pre-training of qwen-14b on 66B tokens from a mixture of Japanese and English datasets.", - "url": "https://huggingface.co./rinna/nekomata-14b", - "project_name": "nekomata-14b", - "downloads": 632, + "description": "gpt2-large-japanese This repository provides a large sized Japanese GPT-2 model.", + "url": "https://huggingface.co./abeja/gpt2-large-japanese", + "project_name": "gpt2-large-japanese", + "downloads": 659, "source": "Hugging Face", - "score": -0.09882206447996021, - "first_commit": "2023-12-19 08:09:53", - "latest_commit": "2024-07-22 07:58:40", + "score": -0.10409211341371069, + "first_commit": "2022-08-29 05:17:36", + "latest_commit": "2022-08-29 16:10:11", "languages": [], "model_or_dataset": "model", - "model_size": 14.2 + "model_size": null, + "model_architectures": "GPT2LMHeadModel" }, { - "description": "ELYZA-japanese-Llama-2-7b-gguf ELYZAさんが公開しているELYZA-japanese-Llama-2-7bのggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/ELYZA-japanese-Llama-2-7b-gguf", - "project_name": "ELYZA-japanese-Llama-2-7b-gguf", - "downloads": 631, + "description": "Polyglot-math-4x7b-24b Polyglot-4x7b is a Mixture of Experts approach to a multilingual model.", + "url": "https://huggingface.co./macadeliccc/polyglot-math-4x7b", + "project_name": "polyglot-math-4x7b", + "downloads": 658, "source": "Hugging Face", - "score": -0.0988371142418616, - "first_commit": "2023-08-29 06:32:01", - "latest_commit": "2023-11-16 14:27:12", + "score": -0.10410782477040491, + "first_commit": "2024-01-13 03:05:44", + "latest_commit": "2024-03-04 19:25:12", "languages": [], "model_or_dataset": "model", - "model_size": 6.74 + "model_size": 24.2, + "model_architectures": "MixtralForCausalLM" }, { - "description": "Japanese StableLM-3B-4E1T Base Model Description This is a 3B-parameter decoder-only language model with a focus on maximizing Japanese language modeling performance and Japanese downstream task performance.", - 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"url": "https://huggingface.co./tokyotech-llm/Swallow-70b-NVE-instruct-hf", - "project_name": "Swallow-70b-NVE-instruct-hf", - "downloads": 628, + "url": "https://huggingface.co./tokyotech-llm/Swallow-7b-NVE-hf", + "project_name": "Swallow-7b-NVE-hf", + "downloads": 635, "source": "Hugging Face", - "score": -0.09888226352756578, - "first_commit": "2023-12-13 03:56:30", - "latest_commit": "2024-07-06 15:18:24", + "score": -0.10446918597437191, + "first_commit": "2023-11-30 09:02:26", + "latest_commit": "2024-06-29 08:56:18", "languages": [], "model_or_dataset": "model", - "model_size": 69.0 + "model_size": null, + "model_architectures": "LlamaForCausalLM" }, { - "description": "External dictionary importer for Yomichan.", - "url": "https://github.com/FooSoft/yomichan-import", - "project_name": "yomichan-import", - "stargazers_count": 82, - "source": "GitHub", - "score": -0.09888338315321071, - "first_commit": "2016-07-26 20:24:33", - "latest_commit": "2023-02-25 12:43:03", - "languages": [ - "Go" - ], - "model_or_dataset": null + "description": "Ninja-v1-gguf Local-Novel-LLM-projectさんが公開しているNinja-v1のggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/Ninja-v1-gguf", + "project_name": "Ninja-v1-gguf", + "downloads": 628, + "source": "Hugging Face", + "score": -0.10457916547123142, + "first_commit": "2024-05-03 14:03:22", + "latest_commit": "2024-05-04 13:26:22", + "languages": [], + "model_or_dataset": "model", + "model_size": 7.24, + "model_architectures": null }, { - "description": "日英変換・英語略語展開のための IME 追加辞書 orange_book 日本語から英語への和英変換や英語略語の展開を Google 日本語入力や ATOK などで可能にする IME 拡張辞書", - "url": "https://github.com/peaceiris/google-ime-dictionary", - "project_name": "google-ime-dictionary", - "stargazers_count": 82, - "source": "GitHub", - "score": -0.09888338315321071, - "first_commit": "2018-09-13 01:54:32", - "latest_commit": "2023-01-16 10:47:31", + "description": "Fish Speech V1.2 Fish Speech V1.2 is a leading text-to-speech (TTS) model trained on 300k hours of English, Chinese, and Japanese audio data.", + "url": "https://huggingface.co./fishaudio/fish-speech-1.2", + "project_name": "fish-speech-1.2", + "downloads": 625, + "source": "Hugging Face", + "score": -0.10462629954131407, + "first_commit": "2024-07-02 04:24:09", + "latest_commit": "2024-07-02 04:31:26", "languages": [], - "model_or_dataset": "dataset" + "model_or_dataset": "model", + "model_size": null, + "model_architectures": null }, { - "description": "Swallow Our Swallow model has undergone continual pre-training from the Llama 2 family, primarily with the addition of Japanese language data.", - "url": "https://huggingface.co./tokyotech-llm/Swallow-70b-NVE-hf", - "project_name": "Swallow-70b-NVE-hf", - "downloads": 626, + "description": "このモデルはluke-japanese-baseをファインチューニングして、固有表現抽出（NER）に用いれるようにしたものです。 ", + "url": "https://huggingface.co./Mizuiro-sakura/luke-japanese-base-finetuned-ner", + "project_name": "luke-japanese-base-finetuned-ner", + "downloads": 623, "source": "Hugging Face", - "score": -0.09891236305136857, - "first_commit": "2023-12-07 07:34:35", - "latest_commit": "2024-06-29 08:56:25", + "score": -0.1046577222547025, + "first_commit": "2023-01-17 23:36:52", + "latest_commit": "2023-05-12 00:36:17", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.279, + "model_architectures": "LukeForTokenClassification" }, { - "description": "KARAKURI LM KARAKURI LM is a pretrained language model that builds upon Llama 2.", - "url": "https://huggingface.co./karakuri-ai/karakuri-lm-70b-v0.1", - "project_name": "karakuri-lm-70b-v0.1", - "downloads": 626, + "description": "rinna/nekomata-14b Overview We conduct continual pre-training of qwen-14b on 66B tokens from a mixture of Japanese and English datasets.", + "url": "https://huggingface.co./rinna/nekomata-14b", + "project_name": "nekomata-14b", + "downloads": 619, "source": "Hugging Face", - "score": -0.09891236305136857, - "first_commit": "2024-01-26 10:49:53", - "latest_commit": "2024-05-07 09:00:06", + "score": -0.10472056768147937, + "first_commit": "2023-12-19 08:09:53", + "latest_commit": "2024-07-22 07:58:40", "languages": [], "model_or_dataset": "model", - "model_size": 69.2 + "model_size": 14.2, + "model_architectures": "QWenLMHeadModel" }, { - "description": "gpt2-large-japanese This repository provides a large sized Japanese GPT-2 model.", - "url": "https://huggingface.co./abeja/gpt2-large-japanese", - "project_name": "gpt2-large-japanese", + "description": "このモデルは何？ ", + "url": "https://huggingface.co./Lasorco/lametta", + "project_name": "lametta", "downloads": 619, "source": "Hugging Face", - "score": -0.09901771138467831, - "first_commit": "2022-08-29 05:17:36", - "latest_commit": "2022-08-29 16:10:11", + "score": -0.10472056768147937, + "first_commit": "2023-03-28 14:29:55", + "latest_commit": "2023-11-08 07:37:12", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": null }, { - "description": "umiyuki-Japanese-Chat-Umievo-itr001-7b-gguf umiyukiさんが公開しているJapanese-Chat-Umievo-itr001-7bのggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/umiyuki-Japanese-Chat-Umievo-itr001-7b-gguf", - "project_name": "umiyuki-Japanese-Chat-Umievo-itr001-7b-gguf", - "downloads": 613, + "description": "Chat & support: TheBloke's Discord server Want to contribute?", + "url": "https://huggingface.co./TheBloke/japanese-stablelm-instruct-beta-70B-GGUF", + "project_name": "japanese-stablelm-instruct-beta-70B-GGUF", + "downloads": 614, "source": "Hugging Face", - "score": -0.09910800995608667, - "first_commit": "2024-04-27 09:55:39", - "latest_commit": "2024-04-27 10:52:17", + "score": -0.10479912446495046, + "first_commit": "2023-11-02 15:45:24", + "latest_commit": "2023-11-02 18:22:05", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": 69.0, + "model_architectures": null }, { - "description": "PLaMo-13B-Instruct-NC Model Description PLaMo-13B-Instruct-NC is a noncommercial instruct fine-tuned model built upon the 8192 context length version of PLaMo-13B text generation model.", - "url": "https://huggingface.co./pfnet/plamo-13b-instruct-nc", - "project_name": "plamo-13b-instruct-nc", + "description": "rinna-llama-3-youko-8b-gguf rinnaさんが公開しているllama-3-youko-8bのggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/rinna-llama-3-youko-8b-gguf", + "project_name": "rinna-llama-3-youko-8b-gguf", "downloads": 612, "source": "Hugging Face", - "score": -0.09912305971798806, - "first_commit": "2023-10-26 05:36:26", - "latest_commit": "2024-01-25 07:46:45", + "score": -0.1048305471783389, + "first_commit": "2024-05-01 14:17:53", + "latest_commit": "2024-05-01 15:11:21", "languages": [], "model_or_dataset": "model", - "model_size": 13.1 + "model_size": 8.03, + "model_architectures": null }, { - "description": "HODACHI-Borea-Phi-3.5-mini-Instruct-Common-gguf HODACHIさんが公開しているBorea-Phi-3.5-mini-Instruct-Commonのggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/HODACHI-Borea-Phi-3.5-mini-Instruct-Common-gguf", - "project_name": "HODACHI-Borea-Phi-3.5-mini-Instruct-Common-gguf", - "downloads": 611, + "description": "KARAKURI LM KARAKURI LM is a pretrained language model that builds upon Llama 2.", + "url": "https://huggingface.co./karakuri-ai/karakuri-lm-70b-v0.1", + "project_name": "karakuri-lm-70b-v0.1", + "downloads": 609, "source": "Hugging Face", - "score": -0.09913810947988945, - "first_commit": "2024-08-21 10:33:58", - "latest_commit": "2024-08-21 11:42:56", + "score": -0.10487768124842155, + "first_commit": "2024-01-26 10:49:53", + "latest_commit": "2024-05-07 09:00:06", "languages": [], "model_or_dataset": "model", - "model_size": 3.82 + "model_size": 69.2, + "model_architectures": "LlamaForCausalLM" }, { - "description": "rinna/japanese-cloob-vit-b-16", - "url": "https://huggingface.co./rinna/japanese-cloob-vit-b-16", - "project_name": "japanese-cloob-vit-b-16", - "downloads": 609, + "description": "llm-jp-13b-instruct-lora-jaster-dolly-oasst-v1.0", + "url": "https://huggingface.co./llm-jp/llm-jp-13b-instruct-lora-jaster-dolly-oasst-v1.0", + "project_name": "llm-jp-13b-instruct-lora-jaster-dolly-oasst-v1.0", + "downloads": 606, "source": "Hugging Face", - "score": -0.09916820900369223, - "first_commit": "2022-04-27 08:29:29", - "latest_commit": "2024-07-22 08:09:24", + "score": -0.1049248153185042, + "first_commit": "2023-10-18 19:01:48", + "latest_commit": "2023-10-20 08:41:17", "languages": [], "model_or_dataset": "model", - "model_size": 0.197 + "model_size": null, + "model_architectures": null }, { - "description": "Ninja-v1-gguf Local-Novel-LLM-projectさんが公開しているNinja-v1のggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/Ninja-v1-gguf", - "project_name": "Ninja-v1-gguf", - "downloads": 608, + "description": "japanese-gpt-neox-3.6b-instruction-sft-v2 Overview", + "url": "https://huggingface.co./rinna/japanese-gpt-neox-3.6b-instruction-sft-v2", + "project_name": "japanese-gpt-neox-3.6b-instruction-sft-v2", + "downloads": 593, "source": "Hugging Face", - "score": -0.09918325876559363, - "first_commit": "2024-05-03 14:03:22", - "latest_commit": "2024-05-04 13:26:22", + "score": -0.10512906295552903, + "first_commit": "2023-05-30 01:50:25", + "latest_commit": "2024-07-20 07:57:35", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": 3.76, + "model_architectures": "GPTNeoXForCausalLM" }, { - "description": "ELYZA-japanese-Llama-2-13b-fast-gguf ELYZAさんが公開しているELYZA-japanese-Llama-2-13b-fastのggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/ELYZA-japanese-Llama-2-13b-fast-gguf", - "project_name": "ELYZA-japanese-Llama-2-13b-fast-gguf", - "downloads": 605, + "description": "alabnii/jmedroberta-base-manbyo-wordpiece Model description This is a Japanese RoBERTa base model pre-trained on academic articles in medical sciences collected by Japan Science and Technology Agency (JST).", + "url": "https://huggingface.co./alabnii/jmedroberta-base-manbyo-wordpiece", + "project_name": "jmedroberta-base-manbyo-wordpiece", + "downloads": 589, "source": "Hugging Face", - "score": -0.0992284080512978, - "first_commit": "2023-12-27 10:40:52", - "latest_commit": "2023-12-27 13:18:46", + "score": -0.10519190838230588, + "first_commit": "2022-12-22 17:17:03", + "latest_commit": "2023-03-08 01:44:36", "languages": [], "model_or_dataset": "model", - "model_size": 13.1 + "model_size": null, + "model_architectures": "BertForMaskedLM" }, { - "description": "DataPilot-ArrowPro-7B-KUJIRA-gguf DataPilotさんが公開しているArrowPro-7B-KUJIRAのggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/DataPilot-ArrowPro-7B-KUJIRA-gguf", - "project_name": "DataPilot-ArrowPro-7B-KUJIRA-gguf", - "downloads": 600, + "description": "Swallow Our Swallow model has undergone continual pre-training from the Llama 2 family, primarily with the addition of Japanese language data.", + "url": "https://huggingface.co./tokyotech-llm/Swallow-70b-NVE-hf", + "project_name": "Swallow-70b-NVE-hf", + "downloads": 586, "source": "Hugging Face", - "score": -0.09930365686080476, - "first_commit": "2024-05-09 13:21:27", - "latest_commit": "2024-05-11 07:24:16", + "score": -0.10523904245238853, + "first_commit": "2023-12-07 07:34:35", + "latest_commit": "2024-06-29 08:56:25", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": null, + "model_architectures": "LlamaForCausalLM" }, { - "description": "Japanese-StableLM-Base-JAVocab-Beta-7B A cute robot wearing a kimono writes calligraphy with one single brush — Stable Diffusion XL Model Description japanese-stablelm-base-ja_vocab-beta-7b is a 7B-parameter decoder-only language model based on Llama-2-7b that has been fine-tuned on a diverse collection of Japanese data, with the intent of maximizing downstream performance on Japanese language tasks.", - "url": "https://huggingface.co./stabilityai/japanese-stablelm-base-ja_vocab-beta-7b", - "project_name": "japanese-stablelm-base-ja_vocab-beta-7b", - "downloads": 600, + "description": "bilingual-gpt-neox-4b-instruction-ppo Overview This repository provides an English-Japanese bilingual GPT-NeoX model of 3.8 billion parameters.", + "url": "https://huggingface.co./rinna/bilingual-gpt-neox-4b-instruction-ppo", + "project_name": "bilingual-gpt-neox-4b-instruction-ppo", + "downloads": 585, "source": "Hugging Face", - "score": -0.09930365686080476, - "first_commit": "2023-10-30 07:49:15", - "latest_commit": "2023-12-19 06:45:58", + "score": -0.10525475380908275, + "first_commit": "2023-08-02 05:56:07", + "latest_commit": "2024-07-20 08:05:14", "languages": [], "model_or_dataset": "model", - "model_size": 6.88 + "model_size": 3.95, + "model_architectures": "GPTNeoXForCausalLM" }, { - "description": "lightblue-suzume-llama-3-8B-multilingual-gguf lightblueさんが公開しているsuzume-llama-3-8B-multilingualのggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/lightblue-suzume-llama-3-8B-multilingual-gguf", - "project_name": "lightblue-suzume-llama-3-8B-multilingual-gguf", - "downloads": 593, + "description": "PLaMo-13B-Instruct-NC Model Description PLaMo-13B-Instruct-NC is a noncommercial instruct fine-tuned model built upon the 8192 context length version of PLaMo-13B text generation model.", + "url": "https://huggingface.co./pfnet/plamo-13b-instruct-nc", + "project_name": "plamo-13b-instruct-nc", + "downloads": 578, "source": "Hugging Face", - "score": -0.09940900519411451, - "first_commit": "2024-05-06 16:31:55", - "latest_commit": "2024-05-07 12:59:57", + "score": -0.10536473330594227, + "first_commit": "2023-10-26 05:36:26", + "latest_commit": "2024-01-25 07:46:45", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": 13.1, + "model_architectures": "PlamoForCausalLM" }, { - "description": "Japanese-Starling-ChatV-7B-GGUF GGUF conversion of \"Japanese-Starling-ChatV-7B\" \"Japanese-Starling-ChatV-7B\" is a Japanese chat model built on top of \"chatntq-ja-7b-v1.0\", originally based on Mistral-7B-v0.1.", - "url": "https://huggingface.co./TFMC/Japanese-Starling-ChatV-7B-GGUF", - "project_name": "Japanese-Starling-ChatV-7B-GGUF", - "downloads": 591, + "description": "albert-base-japanese-v1 日本語事前学習済みALBERTモデルです How to use ファインチューニング このモデルはPreTrainedモデルです基本的には各種タスク用にファインチューニングして使用されることを想定しています Fill-Mask このモデルではTokenizerにSentencepieceを利用していますそのままでは[MASK]トークンのあとに余計なトークンが混入する問題があるので、利用する際には以下のようにする必要があります for PyTorch from transformers import ( AlbertForMaskedLM, AlbertTokenizerFast ) import torch tokenizer = AlbertTokenizerFast.from_pretrained(\"ken11/albert-base-japanese-v1\")", + "url": "https://huggingface.co./ken11/albert-base-japanese-v1", + "project_name": "albert-base-japanese-v1", + "downloads": 567, "source": "Hugging Face", - "score": -0.0994391047179173, - "first_commit": "2024-04-14 12:42:01", - "latest_commit": "2024-04-20 01:23:10", + "score": -0.10553755822957867, + "first_commit": "2021-12-19 17:07:14", + "latest_commit": "2021-12-22 03:04:30", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": null, + "model_architectures": "AlbertForMaskedLM" }, { - "description": "Llama3-ArrowSE-8B-v0.3-gguf DataPilotさんが公開しているLlama3-ArrowSE-8B-v0.3のggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/Llama3-ArrowSE-8B-v0.3-gguf", - "project_name": "Llama3-ArrowSE-8B-v0.3-gguf", - "downloads": 590, + "description": "japanese-large-lm-1.7b-instruction-sft This repository provides a 1.7B parameters Japanese language model, fine-tuned and trained by LINE Corporation.", + "url": "https://huggingface.co./line-corporation/japanese-large-lm-1.7b-instruction-sft", + "project_name": "japanese-large-lm-1.7b-instruction-sft", + "downloads": 563, "source": "Hugging Face", - "score": -0.09945415447981869, - "first_commit": "2024-07-07 07:27:12", - "latest_commit": "2024-07-07 09:30:16", + "score": -0.10560040365635553, + "first_commit": "2023-08-14 17:19:11", + "latest_commit": "2023-08-14 17:19:11", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": null, + "model_architectures": "GPT2LMHeadModel" }, { - "description": "japanese-gpt-neox-small This repository provides a small-sized Japanese GPT-NeoX model.", - "url": "https://huggingface.co./rinna/japanese-gpt-neox-small", - "project_name": "japanese-gpt-neox-small", - "downloads": 580, + "description": "Sarashina1-7B This repository provides Japanese language models trained by SB Intuitions.", + "url": "https://huggingface.co./sbintuitions/sarashina1-7b", + "project_name": "sarashina1-7b", + "downloads": 551, "source": "Hugging Face", - "score": -0.09960465209883261, - "first_commit": "2022-08-31 05:58:25", - "latest_commit": "2024-07-20 07:53:40", + "score": -0.10578893993668614, + "first_commit": "2024-06-07 10:13:21", + "latest_commit": "2024-06-27 06:55:38", "languages": [], "model_or_dataset": "model", - "model_size": 0.20400000000000001 + "model_size": null, + "model_architectures": "GPTNeoXForCausalLM" }, { - "description": "lightblue-suzume-llama-3-8B-japanese-gguf lightblueさんが公開しているsuzume-llama-3-8B-japaneseのggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/lightblue-suzume-llama-3-8B-japanese-gguf", - "project_name": "lightblue-suzume-llama-3-8B-japanese-gguf", - "downloads": 567, + "description": "Japanese-StableLM-Base-JAVocab-Beta-7B A cute robot wearing a kimono writes calligraphy with one single brush — Stable Diffusion XL Model Description japanese-stablelm-base-ja_vocab-beta-7b is a 7B-parameter decoder-only language model based on Llama-2-7b that has been fine-tuned on a diverse collection of Japanese data, with the intent of maximizing downstream performance on Japanese language tasks.", + "url": "https://huggingface.co./stabilityai/japanese-stablelm-base-ja_vocab-beta-7b", + "project_name": "japanese-stablelm-base-ja_vocab-beta-7b", + "downloads": 546, "source": "Hugging Face", - "score": -0.09980029900355071, - "first_commit": "2024-04-23 13:30:08", - "latest_commit": "2024-05-07 12:58:06", + "score": -0.10586749672015722, + "first_commit": "2023-10-30 07:49:15", + "latest_commit": "2023-12-19 06:45:58", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": 6.88, + "model_architectures": "LlamaForCausalLM" }, { - "description": "aya-23-35B-gguf CohereForAIさんが公開しているaya-23-35Bのggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/aya-23-35B-gguf", - "project_name": "aya-23-35B-gguf", - "downloads": 567, + "description": "karakuri-lm-70b-chat-v0.1-gguf karakuri-aiさんが公開しているkarakuri-lm-70b-chat-v0.1のggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/karakuri-lm-70b-chat-v0.1-gguf", + "project_name": "karakuri-lm-70b-chat-v0.1-gguf", + "downloads": 545, "source": "Hugging Face", - "score": -0.09980029900355071, - "first_commit": "2024-05-26 16:32:27", - "latest_commit": "2024-05-27 00:47:56", + "score": -0.10588320807685143, + "first_commit": "2024-02-01 10:42:18", + "latest_commit": "2024-05-09 15:22:45", "languages": [], "model_or_dataset": "model", - "model_size": 35.0 + "model_size": 69.2, + "model_architectures": null }, { - "description": "bert-base-japanese-v3-unsup-simcse-jawiki 「大規模言語モデル入門」の第8章で紹介している教師なしSimCSEのモデルです。 ", - "url": "https://huggingface.co./llm-book/bert-base-japanese-v3-unsup-simcse-jawiki", - "project_name": "bert-base-japanese-v3-unsup-simcse-jawiki", - "downloads": 566, + "description": "bert-base-japanese-v3-jnli 「大規模言語モデル入門」の第5章で紹介している(自然言語推論)のモデ��です。 ", + "url": "https://huggingface.co./llm-book/bert-base-japanese-v3-jnli", + "project_name": "bert-base-japanese-v3-jnli", + "downloads": 545, "source": "Hugging Face", - "score": -0.0998153487654521, - "first_commit": "2023-06-21 10:52:27", - "latest_commit": "2023-07-24 07:07:44", + "score": -0.10588320807685143, + "first_commit": "2023-06-12 14:15:16", + "latest_commit": "2023-07-24 06:49:14", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "BertForSequenceClassification" }, { - "description": "Meta-Llama-3-8B-Instruct-gguf meta-llamaさんが公開しているMeta-Llama-3-8B-Instructのggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/Meta-Llama-3-8B-Instruct-gguf", - "project_name": "Meta-Llama-3-8B-Instruct-gguf", - "downloads": 566, + "description": "※llama.cpp Releases b3428(7/21)", + "url": "https://huggingface.co./MCZK/EZO-Common-9B-gemma-2-it-GGUF", + "project_name": "EZO-Common-9B-gemma-2-it-GGUF", + "downloads": 542, "source": "Hugging Face", - "score": -0.0998153487654521, - "first_commit": "2024-05-12 07:18:00", - "latest_commit": "2024-05-12 08:08:38", + "score": -0.10593034214693409, + "first_commit": "2024-07-10 11:12:59", + "latest_commit": "2024-07-21 11:26:08", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": 9.24, + "model_architectures": null }, { "description": "KARAKURI LM KARAKURI LM is a pretrained language model that builds upon Llama 2.", "url": "https://huggingface.co./karakuri-ai/karakuri-lm-70b-chat-v0.1", "project_name": "karakuri-lm-70b-chat-v0.1", - "downloads": 565, + "downloads": 541, "source": "Hugging Face", - 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"model_size": null + "model_size": 1.41, + "model_architectures": null }, { - "description": "Chat & support: TheBloke's Discord server Want to contribute?", - "url": "https://huggingface.co./TheBloke/japanese-stablelm-instruct-beta-70B-GGUF", - "project_name": "japanese-stablelm-instruct-beta-70B-GGUF", - "downloads": 550, + "description": "ichikara-instruction (Non Commercial) LLMのための日本語インストラクションデータ 公開ページ 公開ページより、 本データに関して、言語処理学会第３０回年次大会において発表を行います。", + "url": "https://huggingface.co./datasets/p1atdev/ichikara-instruction", + "project_name": "ichikara-instruction", + "downloads": 528, "source": "Hugging Face", - "score": -0.1000561449558744, - "first_commit": "2023-11-02 15:45:24", - "latest_commit": "2023-11-02 18:22:05", + "score": -0.10615030114065313, + "first_commit": "2024-03-12 07:09:56", + "latest_commit": "2024-03-12 08:36:40", "languages": [], - "model_or_dataset": "model", - "model_size": 69.0 + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null }, { "description": "Sarashina1-65B", "url": "https://huggingface.co./sbintuitions/sarashina1-65b", "project_name": "sarashina1-65b", - 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"model_size": null + "model_size": 7.24, + "model_architectures": null }, { - "description": "rinna/japanese-hubert-large Overview This is a Japanese HuBERT Large model trained by rinna Co.", - "url": "https://huggingface.co./rinna/japanese-hubert-large", - "project_name": "japanese-hubert-large", - "downloads": 538, + "description": "aixsatoshi-Llama-3-8b-Cosmopedia-japanese-gguf aixsatoshiさんが公開しているLlama-3-8b-Cosmopedia-japaneseのggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/aixsatoshi-Llama-3-8b-Cosmopedia-japanese-gguf", + "project_name": "aixsatoshi-Llama-3-8b-Cosmopedia-japanese-gguf", + "downloads": 518, "source": "Hugging Face", - "score": -0.1002367420986911, - "first_commit": "2024-03-05 10:24:37", - "latest_commit": "2024-07-22 08:12:21", + "score": -0.1063074147075953, + "first_commit": "2024-05-01 12:36:43", + "latest_commit": "2024-05-19 08:27:21", "languages": [], "model_or_dataset": "model", - "model_size": 0.315 + "model_size": 8.03, + "model_architectures": null }, { - "description": "bert-base-japanese-v3-jnli 「大規模言語モデル入門」の第5章で紹介している(自然言語推論)のモデルです。 ", - "url": "https://huggingface.co./llm-book/bert-base-japanese-v3-jnli", - "project_name": "bert-base-japanese-v3-jnli", - "downloads": 532, + "description": "ELYZA-japanese-Llama-2-13b-fast-gguf ELYZAさん��公開しているELYZA-japanese-Llama-2-13b-fastのggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/ELYZA-japanese-Llama-2-13b-fast-gguf", + "project_name": "ELYZA-japanese-Llama-2-13b-fast-gguf", + "downloads": 512, "source": "Hugging Face", - "score": -0.10032704067009945, - "first_commit": "2023-06-12 14:15:16", - "latest_commit": "2023-07-24 06:49:14", + "score": -0.10640168284776061, + "first_commit": "2023-12-27 10:40:52", + "latest_commit": "2023-12-27 13:18:46", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 13.1, + "model_architectures": null }, { - "description": "JaCWIR: Japanese Casual Web IR - 日本語情報検索評価のための小規模でカジュアルなWebタイトルと概要のデータセット 近年、大規模言語モデル（LLM）の台頭により、一般的な日本語を用いた自然な検索クエリで質問するユースケースが増えています。", - 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"model_size": null + "model_size": 2.8, + "model_architectures": "StableLMEpochForCausalLM" }, { - "description": "(简体中文|English|日本語) Introduction github repo : https://github.com/FunAudioLLM/SenseVoice SenseVoice is a speech foundation model with multiple speech understanding capabilities, including automatic speech recognition (ASR), spoken language identification (LID), speech emotion recognition (SER), and audio event detection (AED).", - "url": "https://huggingface.co./FunAudioLLM/SenseVoiceSmall", - "project_name": "SenseVoiceSmall", - "downloads": 522, + "description": "japanese-gpt-neox-small This repository provides a small-sized Japanese GPT-NeoX model.", + "url": "https://huggingface.co./rinna/japanese-gpt-neox-small", + "project_name": "japanese-gpt-neox-small", + "downloads": 484, "source": "Hugging Face", - "score": -0.10047753828911338, - "first_commit": "2024-07-03 03:56:49", - "latest_commit": "2024-07-31 05:47:48", + "score": -0.10684160083519868, + "first_commit": "2022-08-31 05:58:25", + "latest_commit": "2024-07-20 07:53:40", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.20400000000000001, + "model_architectures": "GPTNeoXForCausalLM" }, { - "description": "Chat & support: TheBloke's Discord server Want to contribute?", - "url": "https://huggingface.co./TheBloke/japanese-stablelm-instruct-gamma-7B-GGUF", - "project_name": "japanese-stablelm-instruct-gamma-7B-GGUF", - "downloads": 517, + "description": "bert-base-japanese-v3-unsup-simcse-jawiki 「大規模言語モデル入門」の第8章で紹介している教師なしSimCSEのモデルです。 ", + "url": "https://huggingface.co./llm-book/bert-base-japanese-v3-unsup-simcse-jawiki", + "project_name": "bert-base-japanese-v3-unsup-simcse-jawiki", + "downloads": 483, "source": "Hugging Face", - "score": -0.10055278709862034, - "first_commit": "2023-10-28 19:03:17", - "latest_commit": "2023-10-28 19:07:41", + "score": -0.1068573121918929, + "first_commit": "2023-06-21 10:52:27", + "latest_commit": "2023-07-24 07:07:44", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": null, + "model_architectures": "BertModel" }, { - "description": "Sarashina1-13B", - "url": "https://huggingface.co./sbintuitions/sarashina1-13b", - "project_name": "sarashina1-13b", - "downloads": 512, + "description": "Mistral-Nemo-Instruct-2407-gguf mistralaiさんが公開しているMistral-Nemo-Instruct-2407のggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/Mistral-Nemo-Instruct-2407-gguf", + "project_name": "Mistral-Nemo-Instruct-2407-gguf", + "downloads": 470, "source": "Hugging Face", - "score": -0.1006280359081273, - "first_commit": "2024-06-07 11:56:53", - "latest_commit": "2024-06-27 06:56:06", + "score": -0.10706155982891773, + "first_commit": "2024-07-22 13:28:13", + "latest_commit": "2024-07-22 17:25:48", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 12.2, + "model_architectures": null }, { - "description": "Phi-3-medium-128k-instruct-gguf microsoftさんが公開しているPhi-3-medium-128k-instructのggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/Phi-3-medium-128k-instruct-gguf", - "project_name": "Phi-3-medium-128k-instruct-gguf", - "downloads": 502, + "description": "Japanese-Starling-ChatV-7B-GGUF GGUF conversion of \"Japanese-Starling-ChatV-7B\" \"Japanese-Starling-ChatV-7B\" is a Japanese chat model built on top of \"chatntq-ja-7b-v1.0\", originally based on Mistral-7B-v0.1.", + "url": "https://huggingface.co./TFMC/Japanese-Starling-ChatV-7B-GGUF", + "project_name": "Japanese-Starling-ChatV-7B-GGUF", + "downloads": 470, "source": "Hugging Face", - "score": -0.10077853352714122, - "first_commit": "2024-05-22 15:27:33", - "latest_commit": "2024-05-22 16:56:55", + "score": -0.10706155982891773, + "first_commit": "2024-04-14 12:42:01", + "latest_commit": "2024-04-20 01:23:10", "languages": [], "model_or_dataset": "model", - "model_size": 14.0 + "model_size": 7.24, + "model_architectures": null }, { - "description": "Sarashina1-7B This repository provides Japanese language models trained by SB Intuitions.", - "url": "https://huggingface.co./sbintuitions/sarashina1-7b", - "project_name": "sarashina1-7b", - "downloads": 498, + "description": "Sarashina1-13B", + "url": "https://huggingface.co./sbintuitions/sarashina1-13b", + "project_name": "sarashina1-13b", + "downloads": 462, "source": "Hugging Face", - "score": -0.10083873257474679, - "first_commit": "2024-06-07 10:13:21", - "latest_commit": "2024-06-27 06:55:38", + "score": -0.10718725068247147, + "first_commit": "2024-06-07 11:56:53", + "latest_commit": "2024-06-27 06:56:06", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "GPTNeoXForCausalLM" }, { - "description": "tokyotech-llm-Swallow-13b-instruct-v0.1-gguf tokyotech-llmさんが公開しているSwallow-13b-instruct-v0.1のggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/tokyotech-llm-Swallow-13b-instruct-v0.1-gguf", - "project_name": "tokyotech-llm-Swallow-13b-instruct-v0.1-gguf", - "downloads": 490, + "description": "Japanese-StableLM-Instruct-JAVocab-Beta-7B A cute robot wearing a kimono writes calligraphy with one single brush — Stable Diffusion XL Model Description japanese-stablelm-instruct-ja_vocab-beta-7b is a 7B-parameter decoder-only language model based on japanese-stablelm-ja_vocab-beta-7b and further fine tuned on Databricks Dolly-15k, Anthropic HH, and other public data.", + "url": "https://huggingface.co./stabilityai/japanese-stablelm-instruct-ja_vocab-beta-7b", + "project_name": "japanese-stablelm-instruct-ja_vocab-beta-7b", + "downloads": 462, "source": "Hugging Face", - "score": -0.10095913066995793, - "first_commit": "2024-05-02 14:18:27", - "latest_commit": "2024-05-03 04:36:24", + "score": -0.10718725068247147, + "first_commit": "2023-10-30 07:49:38", + "latest_commit": "2023-12-19 06:46:01", "languages": [], "model_or_dataset": "model", - "model_size": 13.1 + "model_size": 6.88, + "model_architectures": "LlamaForCausalLM" }, { - "description": "This repository is publicly accessible, but you have to accept the conditions to access its files and content.", - "url": "https://huggingface.co./stabilityai/japanese-stablelm-instruct-alpha-7b", - "project_name": "japanese-stablelm-instruct-alpha-7b", - "downloads": 489, + "description": "HODACHI様の Llama-3.1-8B-EZO-1.1-it をGGUF形式に変換したものです。 ", + "url": "https://huggingface.co./MCZK/Llama-3.1-8B-EZO-1.1-it-GGUF", + "project_name": "Llama-3.1-8B-EZO-1.1-it-GGUF", + "downloads": 460, "source": "Hugging Face", - "score": -0.10097418043185932, - "first_commit": null, - "latest_commit": null, + "score": -0.1072186733958599, + "first_commit": "2024-07-31 12:12:01", + "latest_commit": "2024-07-31 18:13:59", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 8.03, + "model_architectures": null }, { - "description": "tokyotech-llm様の Llama-3-Swallow-8B-Instruct-v0.1 をGGUF形式に変換したものです。 ", - "url": "https://huggingface.co./MCZK/Llama-3-Swallow-8B-Instruct-v0.1-GGUF", - "project_name": "Llama-3-Swallow-8B-Instruct-v0.1-GGUF", - "downloads": 485, + "description": "Swallow Our Swallow model has undergone continual pre-training from the Llama 2 family, primarily with the addition of Japanese language data.", + "url": "https://huggingface.co./tokyotech-llm/Swallow-13b-NVE-hf", + "project_name": "Swallow-13b-NVE-hf", + "downloads": 459, "source": "Hugging Face", - "score": -0.10103437947946489, - "first_commit": "2024-07-01 11:45:22", - "latest_commit": "2024-07-01 17:54:05", + "score": -0.1072343847525541, + "first_commit": "2024-01-30 11:39:05", + "latest_commit": "2024-06-29 08:56:22", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": null, + "model_architectures": "LlamaForCausalLM" }, { - "description": "HODACHI様の EZO-Common-T2-2B-gemma-2-it をGGUF形式に変換したものです。 ", - "url": "https://huggingface.co./MCZK/EZO-Common-T2-2B-gemma-2-it-GGUF", - "project_name": "EZO-Common-T2-2B-gemma-2-it-GGUF", - "downloads": 484, + "description": "JaCWIR: Japanese Casual Web IR - 日本語情報検索評価のための小規模で��ジュアルなWebタイトルと概要のデータセット 近年、大規模言語モデル（LLM）の台頭により、一般的な日本語を用いた自然な検索クエリで質問するユースケースが増えています。", + "url": "https://huggingface.co./datasets/hotchpotch/JaCWIR", + "project_name": "JaCWIR", + "downloads": 458, "source": "Hugging Face", - "score": -0.10104942924136628, - "first_commit": "2024-08-01 11:38:48", - "latest_commit": "2024-08-01 13:42:20", + "score": -0.10725009610924832, + "first_commit": "2024-03-23 05:57:58", + "latest_commit": "2024-04-01 02:34:34", + "languages": [], + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null + }, + { + "description": "This repository is publicly accessible, but you have to accept the conditions to access its files and content.", + "url": "https://huggingface.co./stabilityai/japanese-stablelm-instruct-alpha-7b", + "project_name": "japanese-stablelm-instruct-alpha-7b", + "downloads": 455, + "source": "Hugging Face", + "score": -0.10729723017933097, + "first_commit": null, + "latest_commit": null, "languages": [], "model_or_dataset": "model", - "model_size": 2.61 + "model_size": null, + "model_architectures": null }, { - "description": "hotchpotch/japanese-reranker-cross-encoder-small-v1 日本語で学習させた Reranker (CrossEncoder) シリーズです。 ", - "url": "https://huggingface.co./hotchpotch/japanese-reranker-cross-encoder-small-v1", - "project_name": "japanese-reranker-cross-encoder-small-v1", - "downloads": 484, + "description": "This repository contains some GGUF quantizations of the merge of the VNTL LLaMA 3 8B qlora.", + "url": "https://huggingface.co./lmg-anon/vntl-llama3-8b-gguf", + "project_name": "vntl-llama3-8b-gguf", + "downloads": 443, "source": "Hugging Face", - "score": -0.10104942924136628, - "first_commit": "2024-03-28 04:31:45", - "latest_commit": "2024-04-01 02:39:19", + "score": -0.10748576645966158, + "first_commit": "2024-06-13 17:17:30", + "latest_commit": "2024-06-15 17:33:02", "languages": [], "model_or_dataset": "model", - "model_size": 0.11800000000000001 + "model_size": 8.03, + "model_architectures": null }, { "description": "Chat & support: TheBloke's Discord server Want to contribute?", - "url": "https://huggingface.co./TheBloke/japanese-stablelm-instruct-beta-7B-GGUF", - "project_name": "japanese-stablelm-instruct-beta-7B-GGUF", - "downloads": 480, + "url": "https://huggingface.co./TheBloke/japanese-stablelm-instruct-gamma-7B-GGUF", + "project_name": "japanese-stablelm-instruct-gamma-7B-GGUF", + "downloads": 442, "source": "Hugging Face", - "score": -0.10110962828897185, - "first_commit": "2023-11-03 01:04:31", - "latest_commit": "2023-11-03 12:54:55", + "score": -0.1075014778163558, + "first_commit": "2023-10-28 19:03:17", + "latest_commit": "2023-10-28 19:07:41", "languages": [], "model_or_dataset": "model", - "model_size": 6.74 + "model_size": 7.24, + "model_architectures": null }, { - "description": "pfnet-Llama3-Preferred-MedSwallow-70B-gguf pfnetさんが公開しているLlama3-Preferred-MedSwallow-70Bのggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/pfnet-Llama3-Preferred-MedSwallow-70B-gguf", - "project_name": "pfnet-Llama3-Preferred-MedSwallow-70B-gguf", - "downloads": 476, + "description": "Tanuki-8x8B-dpo-v1.0-AWQ 概要 GENIAC 松尾研 LLM開発プロジェクトで開発されたLLMであるweblab-GENIAC/Tanuki-8x8B-dpo-v1.0のAWQ 4bit量子化モデルです。", + "url": "https://huggingface.co./team-hatakeyama-phase2/Tanuki-8x8B-dpo-v1.0-AWQ", + "project_name": "Tanuki-8x8B-dpo-v1.0-AWQ", + "downloads": 436, "source": "Hugging Face", - "score": -0.10116982733657742, - "first_commit": "2024-07-18 15:45:16", - "latest_commit": "2024-07-19 09:14:38", + "score": -0.1075957459565211, + "first_commit": "2024-08-27 09:31:22", + "latest_commit": "2024-09-03 09:26:20", "languages": [], "model_or_dataset": "model", - "model_size": 70.6 + "model_size": 6.75, + "model_architectures": "TanukiForCausalLM" }, { - "description": "nlp-waseda/roberta-large-japanese-seq512 Model description This is a Japanese RoBERTa large model pretrained on Japanese Wikipedia and the Japanese portion of CC-100 with the maximum sequence length of 512.", - "url": "https://huggingface.co./nlp-waseda/roberta-large-japanese-seq512", - "project_name": "roberta-large-japanese-seq512", - "downloads": 470, + "description": "rinna/japanese-hubert-large Overview This is a Japanese HuBERT Large model trained by rinna Co.", + "url": "https://huggingface.co./rinna/japanese-hubert-large", + "project_name": "japanese-hubert-large", + "downloads": 433, "source": "Hugging Face", - "score": -0.10126012590798578, - "first_commit": "2022-06-13 09:46:45", - "latest_commit": "2022-10-21 14:49:40", + "score": -0.10764288002660376, + "first_commit": "2024-03-05 10:24:37", + "latest_commit": "2024-07-22 08:12:21", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.315, + "model_architectures": "HubertModel" }, { - "description": "gemma-2-2b-it-gguf googleさんが公開しているgemma-2-2b-itのggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/gemma-2-2b-it-gguf", - "project_name": "gemma-2-2b-it-gguf", - "downloads": 465, + "description": "hubert-base-jtube This repo provides model weights for the hubert-base model trained on the JTubeSpeech corpus. ", + "url": "https://huggingface.co./sarulab-speech/hubert-base-jtube", + "project_name": "hubert-base-jtube", + "downloads": 431, "source": "Hugging Face", - "score": -0.10133537471749274, - "first_commit": "2024-08-01 17:22:58", - "latest_commit": "2024-08-01 18:29:08", + "score": -0.10767430273999219, + "first_commit": "2024-02-02 04:15:22", + "latest_commit": "2024-02-05 11:49:57", "languages": [], "model_or_dataset": "model", - "model_size": 2.61 + "model_size": null, + "model_architectures": "HubertModel" }, { - "description": "QuantFactory/Llama3-ArrowSE-8B-v0.3-GGUF This is quantized version of DataPilot/Llama3-ArrowSE-8B-v0.3 created using llama.cpp Original Model Card 概要 elyza/Llama-3-ELYZA-JP-8Bを元にchat vectorを用いて改良しAItuberに特化させました。 ", - "url": "https://huggingface.co./QuantFactory/Llama3-ArrowSE-8B-v0.3-GGUF", - "project_name": "Llama3-ArrowSE-8B-v0.3-GGUF", - "downloads": 460, + "description": "bert-base-japanese-wikipedia-ud-head Model Description", + "url": "https://huggingface.co./KoichiYasuoka/bert-base-japanese-wikipedia-ud-head", + "project_name": "bert-base-japanese-wikipedia-ud-head", + "downloads": 431, "source": "Hugging Face", - "score": -0.1014106235269997, - "first_commit": "2024-07-28 15:51:47", - "latest_commit": "2024-07-28 16:29:51", + "score": -0.10767430273999219, + "first_commit": "2022-06-20 21:58:53", + "latest_commit": "2023-03-04 20:16:55", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": null, + "model_architectures": "BertForQuestionAnswering" }, { - "description": "luke-japanese luke-japanese is the Japanese version of LUKE (Language Understanding with Knowledge-based Embeddings), a pre-trained knowledge-enhanced contextualized representation of words and entities.", - "url": "https://huggingface.co./studio-ousia/luke-japanese-base", - "project_name": "luke-japanese-base", - "downloads": 460, + "description": "(简体中文|English|日本語) Introduction github repo : https://github.com/FunAudioLLM/SenseVoice SenseVoice is a speech foundation model with multiple speech understanding capabilities, including automatic speech recognition (ASR), spoken language identification (LID), speech emotion recognition (SER), and audio event detection (AED).", + "url": "https://huggingface.co./FunAudioLLM/SenseVoiceSmall", + "project_name": "SenseVoiceSmall", + "downloads": 428, "source": "Hugging Face", - "score": -0.1014106235269997, - "first_commit": "2022-10-25 06:30:23", - "latest_commit": "2022-11-09 15:23:20", + "score": -0.10772143681007484, + "first_commit": "2024-07-03 03:56:49", + "latest_commit": "2024-07-31 05:47:48", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": null }, { "description": "JQaRA : Japanese Question Answering with Retrieval Augmentation - 検索拡張(RAG)評価のための日本語 Q&A データセット 高性能な LLM の台頭に伴い、LLM を用いた質疑応答のユースケースが増加しています。", "url": "https://huggingface.co./datasets/hotchpotch/JQaRA", "project_name": "JQaRA", - "downloads": 452, + "downloads": 425, "source": "Hugging Face", - "score": -0.10153102162221084, + "score": -0.1077685708801575, "first_commit": "2024-03-03 01:58:34", "latest_commit": "2024-08-10 02:56:05", "languages": [], "model_or_dataset": "dataset", - "model_size": null + "model_size": null, + "model_architectures": null }, { - "description": "tokyotech-llm-Swallow-70b-instruct-v0.1-gguf tokyotech-llmさんが公開しているSwallow-70b-instruct-v0.1のggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/tokyotech-llm-Swallow-70b-instruct-v0.1-gguf", - "project_name": "tokyotech-llm-Swallow-70b-instruct-v0.1-gguf", - "downloads": 451, + "description": "Chat & support: TheBloke's Discord server Want to contribute?", + "url": "https://huggingface.co./TheBloke/japanese-stablelm-instruct-beta-7B-GGUF", + "project_name": "japanese-stablelm-instruct-beta-7B-GGUF", + "downloads": 418, "source": "Hugging Face", - "score": -0.10154607138411223, - "first_commit": "2024-05-03 09:00:00", - "latest_commit": "2024-05-04 06:52:16", + "score": -0.10787855037701702, + "first_commit": "2023-11-03 01:04:31", + "latest_commit": "2023-11-03 12:54:55", "languages": [], "model_or_dataset": "model", - "model_size": 69.2 + "model_size": 6.74, + "model_architectures": null }, { - "description": "Swallow Our Swallow model has undergone continual pre-training from the Llama 2 family, primarily with the addition of Japanese language data.", - "url": "https://huggingface.co./tokyotech-llm/Swallow-13b-NVE-hf", - "project_name": "Swallow-13b-NVE-hf", - "downloads": 449, + "description": "Tanuki-8x8B-dpo-v1.0 モデルについて Tanuki-8x8Bは、フルスクラッチで約1.7Tトークン事前学習を行った8x8Bパラメータ（総パラメータ約47B、アクティブパラメータ約13B）の大規模言語モデルです。", + "url": "https://huggingface.co./weblab-GENIAC/Tanuki-8x8B-dpo-v1.0", + "project_name": "Tanuki-8x8B-dpo-v1.0", + "downloads": 417, "source": "Hugging Face", - "score": -0.10157617090791501, - "first_commit": "2024-01-30 11:39:05", - "latest_commit": "2024-06-29 08:56:22", + "score": -0.10789426173371124, + "first_commit": "2024-08-12 12:47:11", + "latest_commit": "2024-09-02 23:47:09", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 47.0, + "model_architectures": "TanukiForCausalLM" }, { - "description": "Japanese-StableLM-Instruct-JAVocab-Beta-7B A cute robot wearing a kimono writes calligraphy with one single brush — Stable Diffusion XL Model Description japanese-stablelm-instruct-ja_vocab-beta-7b is a 7B-parameter decoder-only language model based on japanese-stablelm-ja_vocab-beta-7b and further fine tuned on Databricks Dolly-15k, Anthropic HH, and other public data.", - "url": "https://huggingface.co./stabilityai/japanese-stablelm-instruct-ja_vocab-beta-7b", - "project_name": "japanese-stablelm-instruct-ja_vocab-beta-7b", - "downloads": 449, + "description": "gemma-2-2b-it-gguf googleさんが公開しているgemma-2-2b-itのggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/gemma-2-2b-it-gguf", + "project_name": "gemma-2-2b-it-gguf", + "downloads": 412, "source": "Hugging Face", - "score": -0.10157617090791501, - "first_commit": "2023-10-30 07:49:38", - "latest_commit": "2023-12-19 06:46:01", + "score": -0.10797281851718231, + "first_commit": "2024-08-01 17:22:58", + "latest_commit": "2024-08-01 18:29:08", "languages": [], "model_or_dataset": "model", - "model_size": 6.88 + "model_size": 2.61, + "model_architectures": null }, { - "description": "c4ai-command-r-plus-gguf CohereForAIさんが公開しているc4ai-command-r-plusのggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/c4ai-command-r-plus-gguf", - "project_name": "c4ai-command-r-plus-gguf", - "downloads": 445, + "description": "umiyuki-Umievo-itr012-Gleipnir-7B-gguf umiyukiさんが公開しているUmievo-itr012-Gleipnir-7Bのggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/umiyuki-Umievo-itr012-Gleipnir-7B-gguf", + "project_name": "umiyuki-Umievo-itr012-Gleipnir-7B-gguf", + "downloads": 411, "source": "Hugging Face", - "score": -0.10163636995552058, - "first_commit": "2024-04-22 14:46:41", - "latest_commit": "2024-04-23 16:13:37", + "score": -0.10798852987387653, + "first_commit": "2024-05-29 15:05:32", + "latest_commit": "2024-05-29 15:53:40", "languages": [], "model_or_dataset": "model", - "model_size": 104.0 + "model_size": 7.24, + "model_architectures": null }, { - "description": "pfnet-nekomata-14b-pfn-qfin-inst-merge-gguf pfnetさんが公開しているnekomata-14b-pfn-qfin-inst-mergeのggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/pfnet-nekomata-14b-pfn-qfin-inst-merge-gguf", - "project_name": "pfnet-nekomata-14b-pfn-qfin-inst-merge-gguf", - "downloads": 442, + "description": "whisper-large-v2-japanese-5k-steps This model is a fine-tuned version of openai/whisper-large-v2 on the Japanese CommonVoice dataset (v11)..", + "url": "https://huggingface.co./clu-ling/whisper-large-v2-japanese-5k-steps", + "project_name": "whisper-large-v2-japanese-5k-steps", + "downloads": 411, "source": "Hugging Face", - "score": -0.10168151924122476, - "first_commit": "2024-04-23 14:53:08", - "latest_commit": "2024-04-24 14:39:32", + "score": -0.10798852987387653, + "first_commit": "2023-01-28 22:14:29", + "latest_commit": "2023-03-03 21:11:39", "languages": [], "model_or_dataset": "model", - "model_size": 14.2 - }, - { - "description": "databricks/dolly-v2-12b の学習データに使用されたdatabricks-dolly-15k.jsonl を日本語に翻訳したデータセットになります。", - "url": "https://github.com/kunishou/databricks-dolly-15k-ja", - "project_name": "databricks-dolly-15k-ja", - "stargazers_count": 81, - "source": "GitHub", - "score": -0.10180642365093301, - "first_commit": "2023-04-14 23:43:27", - "latest_commit": "2023-07-26 00:08:32", - "languages": [], - "model_or_dataset": "dataset" + "model_size": null, + "model_architectures": "WhisperForConditionalGeneration" }, { - "description": "tokyotech-llm-Swallow-MS-7b-instruct-v0.1-gguf tokyotech-llmさんが公開しているSwallow-MS-7b-instruct-v0.1のggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/tokyotech-llm-Swallow-MS-7b-instruct-v0.1-gguf", - "project_name": "tokyotech-llm-Swallow-MS-7b-instruct-v0.1-gguf", - "downloads": 430, + "description": "回答と回答が出てくるパラグラフを与えると質問文を生成するモデル SEE: https://github.com/sonoisa/deep-question-generation 本モデルの作成ステップ概要 SQuAD 1.1を日本語に機械翻訳し、不正なデータをクレンジング（有効なデータは約半分）。", + "url": "https://huggingface.co./sonoisa/t5-base-japanese-question-generation", + "project_name": "t5-base-japanese-question-generation", + "downloads": 404, "source": "Hugging Face", - "score": -0.10186211638404148, - "first_commit": "2024-05-02 13:37:22", - "latest_commit": "2024-05-03 04:35:34", + "score": -0.10809850937073605, + "first_commit": "2021-04-03 14:08:55", + "latest_commit": "2022-03-11 02:50:33", "languages": [], "model_or_dataset": "model", - "model_size": 7.33 + "model_size": null, + "model_architectures": "T5ForConditionalGeneration" }, { - "description": "whisper-large-v2-japanese-5k-steps This model is a fine-tuned version of openai/whisper-large-v2 on the Japanese CommonVoice dataset (v11)..", - "url": "https://huggingface.co./clu-ling/whisper-large-v2-japanese-5k-steps", - "project_name": "whisper-large-v2-japanese-5k-steps", - "downloads": 428, + "description": "Japanese Laws This dataset comprises 8.75K law records retrieved from the official Japanese government website e-Gov. ", + "url": "https://huggingface.co./datasets/y2lan/japan-law", + "project_name": "japan-law", + "downloads": 393, "source": "Hugging Face", - "score": -0.10189221590784427, - "first_commit": "2023-01-28 22:14:29", - "latest_commit": "2023-03-03 21:11:39", + "score": -0.10827133429437244, + "first_commit": "2023-07-20 06:26:25", + "latest_commit": "2023-07-20 06:45:14", "languages": [], - "model_or_dataset": "model", - "model_size": null + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null }, { "description": "hh-rlhf-12k-ja This repository provides a human preference dataset developed by LLM-jp, a collaborative project launched in Japan.", "url": "https://huggingface.co./datasets/llm-jp/hh-rlhf-12k-ja", "project_name": "hh-rlhf-12k-ja", - "downloads": 427, + "downloads": 393, "source": "Hugging Face", - "score": -0.10190726566974566, + "score": -0.10827133429437244, "first_commit": "2024-02-04 21:19:53", "latest_commit": "2024-02-04 21:45:59", "languages": [], "model_or_dataset": "dataset", - "model_size": null + "model_size": null, + "model_architectures": null }, { - "description": "YuisekinAIEvol-Mistral-7B-ja-math-v0.1.1-gguf yuisekiさんが公開しているYuisekinAIEvol-Mistral-7B-ja-math-v0.1.1のggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/YuisekinAIEvol-Mistral-7B-ja-math-v0.1.1-gguf", - "project_name": "YuisekinAIEvol-Mistral-7B-ja-math-v0.1.1-gguf", - "downloads": 415, + "description": "lightblue-suzume-llama-3-8B-multilingual-gguf lightblueさんが公開しているsuzume-llama-3-8B-multilingualのggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/lightblue-suzume-llama-3-8B-multilingual-gguf", + "project_name": "lightblue-suzume-llama-3-8B-multilingual-gguf", + "downloads": 391, "source": "Hugging Face", - "score": -0.10208786281256237, - "first_commit": "2024-04-29 14:18:07", - "latest_commit": "2024-04-29 15:52:08", + "score": -0.10830275700776087, + "first_commit": "2024-05-06 16:31:55", + "latest_commit": "2024-05-07 12:59:57", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": 8.03, + "model_architectures": null }, { - "description": "rinna/japanese-gpt-neox-3.6b-instruction-ppo rinnaさんが公開しているjapanese-gpt-neox-3.6b-instruction-ppoのgguf変換版です。 ", - "url": "https://huggingface.co./mmnga/rinna-japanese-gpt-neox-3.6b-instruction-ppo-gguf", - "project_name": "rinna-japanese-gpt-neox-3.6b-instruction-ppo-gguf", - "downloads": 415, + "description": "Meta-Llama-3-8B-Instruct-gguf meta-llamaさんが公開しているMeta-Llama-3-8B-Instructのggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/Meta-Llama-3-8B-Instruct-gguf", + "project_name": "Meta-Llama-3-8B-Instruct-gguf", + "downloads": 389, "source": "Hugging Face", - "score": -0.10208786281256237, - "first_commit": "2023-09-02 17:52:26", - "latest_commit": "2023-09-08 02:39:00", + "score": -0.10833417972114931, + "first_commit": "2024-05-12 07:18:00", + "latest_commit": "2024-05-12 08:08:38", "languages": [], "model_or_dataset": "model", - "model_size": 3.61 + "model_size": 8.03, + "model_architectures": null }, { - "description": "luke-japanese luke-japanese is the Japanese version of LUKE (Language Understanding with Knowledge-based Embeddings), a pre-trained knowledge-enhanced contextualized representation of words and entities.", - "url": "https://huggingface.co./studio-ousia/luke-japanese-base-lite", - "project_name": "luke-japanese-base-lite", - "downloads": 413, + "description": "Llama3-ArrowSE-8B-v0.3-gguf DataPilotさんが公開しているLlama3-ArrowSE-8B-v0.3のggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/Llama3-ArrowSE-8B-v0.3-gguf", + "project_name": "Llama3-ArrowSE-8B-v0.3-gguf", + "downloads": 389, "source": "Hugging Face", - "score": -0.10211796233636515, - "first_commit": "2022-10-25 09:27:16", - "latest_commit": "2022-11-09 15:22:22", + "score": -0.10833417972114931, + "first_commit": "2024-07-07 07:27:12", + "latest_commit": "2024-07-07 09:30:16", "languages": [], "model_or_dataset": "model", - "model_size": null - }, - { - "description": "ichikara-instruction (Non Commercial) LLMのための日本語インストラクションデータ 公開ページ 公開ページより、 本データに関して、言語処理学会第３０回年次大会において発表を行います。", - "url": "https://huggingface.co./datasets/p1atdev/ichikara-instruction", - "project_name": "ichikara-instruction", - "downloads": 413, - "source": "Hugging Face", - "score": -0.10211796233636515, - "first_commit": "2024-03-12 07:09:56", - "latest_commit": "2024-03-12 08:36:40", - "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_size": 8.03, + "model_architectures": null }, { - "description": "BERT small Japanese finance This is a BERT model pretrained on texts in the Japanese language.", - "url": "https://huggingface.co./izumi-lab/bert-small-japanese", - "project_name": "bert-small-japanese", - "downloads": 409, + "description": "aya-23-35B-gguf CohereForAIさんが公開しているaya-23-35Bのggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/aya-23-35B-gguf", + "project_name": "aya-23-35B-gguf", + "downloads": 388, "source": "Hugging Face", - "score": -0.10217816138397072, - "first_commit": "2021-10-04 13:09:36", - "latest_commit": "2022-12-09 00:40:57", + "score": -0.10834989107784353, + "first_commit": "2024-05-26 16:32:27", + "latest_commit": "2024-05-27 00:47:56", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 35.0, + "model_architectures": null }, { - "description": "alfredplpl-Llama-3-8B-Instruct-Ja-gguf alfredplplさんが公開しているLlama-3-8B-Instruct-Jaのggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/alfredplpl-Llama-3-8B-Instruct-Ja-gguf", - "project_name": "alfredplpl-Llama-3-8B-Instruct-Ja-gguf", - "downloads": 409, + "description": "Phi-3-medium-128k-instruct-gguf microsoftさんが公開しているPhi-3-medium-128k-instructのggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/Phi-3-medium-128k-instruct-gguf", + "project_name": "Phi-3-medium-128k-instruct-gguf", + "downloads": 387, "source": "Hugging Face", - "score": -0.10217816138397072, - "first_commit": "2024-04-23 14:18:57", - "latest_commit": "2024-04-23 15:24:47", + "score": -0.10836560243453774, + "first_commit": "2024-05-22 15:27:33", + "latest_commit": "2024-05-22 16:56:55", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": 14.0, + "model_architectures": null }, { - "description": "mt5_summarize_japanese (Japanese caption : 日本語の要約のモデル)", - "url": "https://huggingface.co./tsmatz/mt5_summarize_japanese", - "project_name": "mt5_summarize_japanese", - "downloads": 407, + "description": "BERT large Japanese (character-level tokenization with whole word masking, CC-100 and jawiki-20230102)", + "url": "https://huggingface.co./tohoku-nlp/bert-large-japanese-char-v2", + "project_name": "bert-large-japanese-char-v2", + "downloads": 386, "source": "Hugging Face", - "score": -0.1022082609077735, - "first_commit": "2022-11-26 10:51:27", - "latest_commit": "2024-07-12 00:01:31", + "score": -0.10838131379123196, + "first_commit": "2023-05-19 00:48:06", + "latest_commit": "2023-05-19 00:54:57", "languages": [], "model_or_dataset": "model", - "model_size": 0.3 + "model_size": null, + "model_architectures": "BertForPreTraining" }, { - "description": "rinna/japanese-gpt-neox-3.6b rinnaさんが公開しているjapanese-gpt-neox-3.6bのgguf変換版です。 ", - "url": "https://huggingface.co./mmnga/rinna-japanese-gpt-neox-3.6b-gguf", - "project_name": "rinna-japanese-gpt-neox-3.6b-gguf", - "downloads": 405, + "description": "Model card for model ID", + "url": "https://huggingface.co./retrieva-jp/t5-base-long", + "project_name": "t5-base-long", + "downloads": 380, "source": "Hugging Face", - "score": -0.10223836043157629, - "first_commit": "2023-09-02 18:46:08", - "latest_commit": "2023-09-08 02:37:19", + "score": -0.10847558193139727, + "first_commit": "2023-04-26 08:30:59", + "latest_commit": "2023-05-10 10:00:00", "languages": [], "model_or_dataset": "model", - "model_size": 3.61 + "model_size": null, + "model_architectures": "T5ForConditionalGeneration" }, { - "description": "aya-23-8B-gguf CohereForAIさんが公開しているaya-23-8Bのggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/aya-23-8B-gguf", - "project_name": "aya-23-8B-gguf", - "downloads": 404, + "description": "ku-nlp/roberta-base-japanese-char-wwm Model description This is a Japanese RoBERTa base model pre-trained on Japanese Wikipedia and the Japanese portion of CC-100.", + "url": "https://huggingface.co./ku-nlp/roberta-base-japanese-char-wwm", + "project_name": "roberta-base-japanese-char-wwm", + "downloads": 379, "source": "Hugging Face", - "score": -0.10225341019347768, - "first_commit": "2024-05-26 16:32:53", - "latest_commit": "2024-05-27 00:54:36", + "score": -0.10849129328809148, + "first_commit": "2022-09-20 05:07:34", + "latest_commit": "2023-03-20 08:05:45", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": 0.1, + "model_architectures": "RobertaForMaskedLM" }, { - "description": "This repository contains some GGUF quantizations of the VNTL Gemma 2 27B model.", - "url": "https://huggingface.co./lmg-anon/vntl-gemma2-27b-gguf", - "project_name": "vntl-gemma2-27b-gguf", - "downloads": 401, + "description": "License:CreativeML Open RAIL-M Additional Copyright: sazyou_roukaku (TwitterID @sazyou_roukaku) as of June 25, 2023 このモデルは『CreativeML Open RAIL-M』でLicenseそのものに変更はありません。 ", + "url": "https://huggingface.co./sazyou-roukaku/LittleStepMix", + "project_name": "LittleStepMix", + "downloads": 378, "source": "Hugging Face", - "score": -0.10229855947918186, - "first_commit": "2024-07-07 00:28:06", - "latest_commit": "2024-07-08 16:13:54", + "score": -0.1085070046447857, + "first_commit": "2023-06-25 06:57:42", + "latest_commit": "2023-07-04 10:47:46", "languages": [], "model_or_dataset": "model", - "model_size": 27.2 + "model_size": null, + "model_architectures": null }, { - "description": "This repository contains some GGUF quantizations of the merge of the VNTL LLaMA 3 8B qlora.", - "url": "https://huggingface.co./lmg-anon/vntl-llama3-8b-gguf", - "project_name": "vntl-llama3-8b-gguf", - "downloads": 398, - "source": "Hugging Face", - "score": -0.10234370876488603, - "first_commit": "2024-06-13 17:17:30", - "latest_commit": "2024-06-15 17:33:02", - "languages": [], - "model_or_dataset": "model", - "model_size": 8.03 + "description": "Japanese Dictionary", + "url": "https://github.com/gojp/nihongo", + "project_name": "nihongo", + "stargazers_count": 78, + "source": "GitHub", + "score": -0.10867781892454018, + "first_commit": "2013-09-03 00:22:50", + "latest_commit": "2024-02-07 18:36:24", + "languages": [ + "Go", + "Python" + ], + "model_or_dataset": null }, { - "description": "ryota39-Phi-3-mini-4k-instruct-dpo-gguf ryota39さんが公開しているPhi-3-mini-4k-instruct-dpoのggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/ryota39-Phi-3-mini-4k-instruct-dpo-gguf", - "project_name": "ryota39-Phi-3-mini-4k-instruct-dpo-gguf", - "downloads": 397, - "source": "Hugging Face", - "score": -0.10235875852678743, - "first_commit": "2024-04-29 14:27:31", - "latest_commit": "2024-04-29 16:53:45", - "languages": [], - "model_or_dataset": "model", - "model_size": 3.82 + "description": "A large parallel corpus of English and Japanese", + "url": "https://github.com/rpryzant/JESC", + "project_name": "JESC", + "stargazers_count": 78, + "source": "GitHub", + "score": -0.10867781892454018, + "first_commit": "2017-10-25 07:41:35", + "latest_commit": "2017-10-31 21:08:56", + "languages": [ + "Python" + ], + "model_or_dataset": "dataset" }, { "description": "llm-book/t5-base-long-livedoor-news-corpus 「大規模言語モデル入門」の第7章で紹介している要約生成のモデルです。 ", "url": "https://huggingface.co./llm-book/t5-base-long-livedoor-news-corpus", "project_name": "t5-base-long-livedoor-news-corpus", - "downloads": 390, + "downloads": 363, "source": "Hugging Face", - "score": -0.10246410686009717, + "score": -0.10874267499519895, "first_commit": "2023-06-27 13:32:54", "latest_commit": "2023-07-25 13:10:36", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "T5ForConditionalGeneration" }, { - "description": "tokyotech-llm-Swallow-7b-instruct-v0.1-gguf tokyotech-llmさんが公開しているSwallow-7b-instruct-v0.1のggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/tokyotech-llm-Swallow-7b-instruct-v0.1-gguf", - "project_name": "tokyotech-llm-Swallow-7b-instruct-v0.1-gguf", - "downloads": 384, + "description": "This is a model for named entity recognition of Japanese medical documents.", + "url": "https://huggingface.co./sociocom/MedNER-CR-JA", + "project_name": "MedNER-CR-JA", + "downloads": 356, "source": "Hugging Face", - "score": -0.10255440543150553, - "first_commit": "2024-05-03 04:09:27", - "latest_commit": "2024-05-03 04:53:43", + "score": -0.10885265449205847, + "first_commit": "2022-08-23 03:30:43", + "latest_commit": "2024-07-31 07:44:00", "languages": [], "model_or_dataset": "model", - "model_size": 6.83 + "model_size": 0.11, + "model_architectures": "BertForTokenClassification" }, { - "description": "line-corporation/japanese-large-lm-1.7b line-corporationさんが公開しているjapanese-large-lm-1.7bのgguf変換版です。 ", - "url": "https://huggingface.co./mmnga/line-corp-japanese-large-lm-1.7b-gguf", - "project_name": "line-corp-japanese-large-lm-1.7b-gguf", - "downloads": 379, + "description": "ElanMT ElanMT-BT-en-ja is a English to Japanese translation model developed by ELAN MITSUA Project / Abstract Engine.", + "url": "https://huggingface.co./Mitsua/elan-mt-bt-en-ja", + "project_name": "elan-mt-bt-en-ja", + "downloads": 356, "source": "Hugging Face", - "score": -0.10262965424101249, - "first_commit": "2023-09-03 22:35:34", - "latest_commit": "2024-03-24 05:54:30", + "score": -0.10885265449205847, + "first_commit": "2024-05-20 01:51:18", + "latest_commit": "2024-05-20 01:53:38", "languages": [], "model_or_dataset": "model", - "model_size": 1.77 + "model_size": 0.0606, + "model_architectures": "MarianMTModel" }, { - "description": "Fugaku-LLM利用規約 この利用規約（以下「本規約」といいます）は、富士通株式会社、国立研究開発法人理化学研究所、国立大学法人東京工業大学、国立大学法人東北大学、株式会社サイバーエージェント、国立大学法人東海国立大学機構、及び株式会社Kotoba Technologies Japan (以下「開発者」といいます)による、スーパーコンピュータ「富岳」政策対応枠における大規模言語モデル分散並列学習手法の開発の成果物として公開する大規模言語モデル（以下「Fugaku-LLM」といいます）の利用に関する条件を定めるものです。", - "url": "https://huggingface.co./Fugaku-LLM/Fugaku-LLM-13B-instruct", - "project_name": "Fugaku-LLM-13B-instruct", - "downloads": 379, + "description": "umiyuki-Japanese-Chat-Umievo-itr001-7b-gguf umiyukiさんが公開しているJapanese-Chat-Umievo-itr001-7bのggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/umiyuki-Japanese-Chat-Umievo-itr001-7b-gguf", + "project_name": "umiyuki-Japanese-Chat-Umievo-itr001-7b-gguf", + "downloads": 356, "source": "Hugging Face", - "score": -0.10262965424101249, - "first_commit": null, - "latest_commit": null, + "score": -0.10885265449205847, + "first_commit": "2024-04-27 09:55:39", + "latest_commit": "2024-04-27 10:52:17", "languages": [], "model_or_dataset": "model", - "model_size": 13.2 + "model_size": 7.24, + "model_architectures": null }, { "description": "日本語版CLIPモデル This is a CLIP text/image encoder model for Japanese. ", "url": "https://huggingface.co./sonoisa/clip-vit-b-32-japanese-v1", "project_name": "clip-vit-b-32-japanese-v1", - "downloads": 378, + "downloads": 351, "source": "Hugging Face", - "score": -0.10264470400291388, + "score": -0.10893121127552956, "first_commit": "2022-02-15 15:47:34", "latest_commit": "2022-04-19 14:18:58", "languages": [], "model_or_dataset": "model", - "model_size": null - }, - { - "description": "BERT large Japanese (character-level tokenization with whole word masking, CC-100 and jawiki-20230102)", - "url": "https://huggingface.co./tohoku-nlp/bert-large-japanese-char-v2", - "project_name": "bert-large-japanese-char-v2", - "downloads": 377, - "source": "Hugging Face", - "score": -0.10265975376481527, - "first_commit": "2023-05-19 00:48:06", - "latest_commit": "2023-05-19 00:54:57", - "languages": [], - "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "BertModel" }, { - "description": "bert-base-japanese-wikipedia-ud-head Model Description", - "url": "https://huggingface.co./KoichiYasuoka/bert-base-japanese-wikipedia-ud-head", - "project_name": "bert-base-japanese-wikipedia-ud-head", - "downloads": 376, + "description": "Japanese CLIP ViT-H/14 (Wider) Table of Contents Overview Usage Model Details Evaluation Limitations and Biases Citation See Also Contact Information Overview Developed by:", + "url": "https://huggingface.co./hakuhodo-tech/japanese-clip-vit-h-14-bert-wider", + "project_name": "japanese-clip-vit-h-14-bert-wider", + "downloads": 350, "source": "Hugging Face", - "score": -0.10267480352671667, - "first_commit": "2022-06-20 21:58:53", - "latest_commit": "2023-03-04 20:16:55", + "score": -0.10894692263222377, + "first_commit": "2024-03-06 03:30:25", + "latest_commit": "2024-03-06 21:46:11", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.91, + "model_architectures": "CustomCLIPModel" }, { - "description": "※llama.cpp Releases b3428(7/21)", - "url": "https://huggingface.co./MCZK/EZO-Humanities-9B-gemma-2-it-GGUF", - "project_name": "EZO-Humanities-9B-gemma-2-it-GGUF", - "downloads": 375, + "description": "tokyotech-llm-Swallow-13b-instruct-v0.1-gguf tokyotech-llmさんが公開しているSwallow-13b-instruct-v0.1のggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/tokyotech-llm-Swallow-13b-instruct-v0.1-gguf", + "project_name": "tokyotech-llm-Swallow-13b-instruct-v0.1-gguf", + "downloads": 349, "source": "Hugging Face", - "score": -0.10268985328861806, - "first_commit": "2024-07-10 22:02:03", - "latest_commit": "2024-07-21 18:11:21", + "score": -0.10896263398891799, + "first_commit": "2024-05-02 14:18:27", + "latest_commit": "2024-05-03 04:36:24", "languages": [], "model_or_dataset": "model", - "model_size": 9.24 + "model_size": 13.1, + "model_architectures": null }, { - "description": "umiyuki-Umievo-itr012-Gleipnir-7B-gguf umiyukiさんが公開しているUmievo-itr012-Gleipnir-7Bのggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/umiyuki-Umievo-itr012-Gleipnir-7B-gguf", - "project_name": "umiyuki-Umievo-itr012-Gleipnir-7B-gguf", - "downloads": 370, + "description": "ELYZA-japanese-CodeLlama-7b Model Description ELYZA-japanese-CodeLlama-7b は、 Code Llamaをベースとして日本語能力を拡張するために追加事前学習を行ったモデルです。 ", + "url": "https://huggingface.co./elyza/ELYZA-japanese-CodeLlama-7b-instruct", + "project_name": "ELYZA-japanese-CodeLlama-7b-instruct", + "downloads": 348, "source": "Hugging Face", - "score": -0.10276510209812502, - "first_commit": "2024-05-29 15:05:32", - "latest_commit": "2024-05-29 15:53:40", + "score": -0.10897834534561221, + "first_commit": "2023-11-07 12:04:07", + "latest_commit": "2023-11-17 05:01:00", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": 6.74, + "model_architectures": "LlamaForCausalLM" }, { - "description": "Model Card for Japanese character-level DeBERTa V2 base Model description This is a Japanese DeBERTa V2 base model pre-trained on Japanese Wikipedia, the Japanese portion of CC-100, and the Japanese portion of OSCAR.", - "url": "https://huggingface.co./ku-nlp/deberta-v2-base-japanese-char-wwm", - "project_name": "deberta-v2-base-japanese-char-wwm", - "downloads": 369, + "description": "line-corporation/japanese-large-lm-1.7b line-corporationさんが公開しているjapanese-large-lm-1.7bのgguf変換版です。 ", + "url": "https://huggingface.co./mmnga/line-corp-japanese-large-lm-1.7b-gguf", + "project_name": "line-corp-japanese-large-lm-1.7b-gguf", + "downloads": 346, "source": "Hugging Face", - "score": -0.10278015186002641, - "first_commit": "2023-01-18 13:55:30", - "latest_commit": "2023-03-26 03:32:27", + "score": -0.10900976805900064, + "first_commit": "2023-09-03 22:35:34", + "latest_commit": "2024-03-24 05:54:30", "languages": [], "model_or_dataset": "model", - "model_size": 0.122 + "model_size": 1.77, + "model_architectures": null }, { - "description": "pfnet-nekomata-14b-pfn-qfin-gguf pfnetさんが公開しているnekomata-14b-pfn-qfinのggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/pfnet-nekomata-14b-pfn-qfin-gguf", - "project_name": "pfnet-nekomata-14b-pfn-qfin-gguf", - "downloads": 365, + "description": "luke-japanese luke-japanese is the Japanese version of LUKE (Language Understanding with Knowledge-based Embeddings), a pre-trained knowledge-enhanced contextualized representation of words and entities.", + "url": "https://huggingface.co./studio-ousia/luke-japanese-base", + "project_name": "luke-japanese-base", + "downloads": 345, "source": "Hugging Face", - "score": -0.10284035090763198, - "first_commit": "2024-04-24 12:58:10", - "latest_commit": "2024-04-24 14:46:15", + "score": -0.10902547941569486, + "first_commit": "2022-10-25 06:30:23", + "latest_commit": "2022-11-09 15:23:20", "languages": [], "model_or_dataset": "model", - "model_size": 14.2 + "model_size": null, + "model_architectures": "LukeForMaskedLM" }, { - "description": "Oumuamua-7b-RP GGUF版はこちら/Click here for the GGUF version 概要 This is a merge of pre-trained language models created using mergekit. ", - "url": "https://huggingface.co./Aratako/Oumuamua-7b-RP", - "project_name": "Oumuamua-7b-RP", - "downloads": 363, + "description": "lightblue-suzume-llama-3-8B-japanese-gguf lightblueさんが公開しているsuzume-llama-3-8B-japaneseのggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/lightblue-suzume-llama-3-8B-japanese-gguf", + "project_name": "lightblue-suzume-llama-3-8B-japanese-gguf", + "downloads": 342, "source": "Hugging Face", - "score": -0.10287045043143477, - "first_commit": "2024-06-23 12:30:16", - "latest_commit": "2024-06-23 17:06:53", + "score": -0.10907261348577751, + "first_commit": "2024-04-23 13:30:08", + "latest_commit": "2024-05-07 12:58:06", "languages": [], "model_or_dataset": "model", - "model_size": 7.33 + "model_size": 8.03, + "model_architectures": null }, { - "description": "DataPilot-ArrowPro-7B-RobinHood-gguf DataPilotさんが公開しているArrowPro-7B-RobinHoodのggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/DataPilot-ArrowPro-7B-RobinHood-gguf", - "project_name": "DataPilot-ArrowPro-7B-RobinHood-gguf", - "downloads": 357, + "description": "Llama-3-EZO-VLM-1 Based on SakanaAI/Llama-3-EvoVLM-JP-v2, it has been enhanced for Japanese usage through additional pre-training and instruction tuning.", + "url": "https://huggingface.co./AXCXEPT/Llama-3-EZO-VLM-1", + "project_name": "Llama-3-EZO-VLM-1", + "downloads": 338, "source": "Hugging Face", - "score": -0.10296074900284312, - "first_commit": "2024-05-11 07:22:37", - "latest_commit": "2024-05-11 13:43:09", + "score": -0.10913545891255438, + "first_commit": "2024-08-03 17:15:09", + "latest_commit": "2024-08-23 10:55:53", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": 8.48, + "model_architectures": "LlavaForConditionalGeneration" }, { - "description": "ELYZA-japanese-CodeLlama-7b Model Description ELYZA-japanese-CodeLlama-7b は、 Code Llamaをベースとして日本語能力を拡張するために追加事前学習を行ったモデルです。 ", - "url": "https://huggingface.co./elyza/ELYZA-japanese-CodeLlama-7b-instruct", - "project_name": "ELYZA-japanese-CodeLlama-7b-instruct", - "downloads": 354, + "description": "rinna/japanese-gpt-neox-3.6b-instruction-ppo rinnaさんが公開しているjapanese-gpt-neox-3.6b-instruction-ppoのgguf変換版です。 ", + "url": "https://huggingface.co./mmnga/rinna-japanese-gpt-neox-3.6b-instruction-ppo-gguf", + "project_name": "rinna-japanese-gpt-neox-3.6b-instruction-ppo-gguf", + "downloads": 338, "source": "Hugging Face", - "score": -0.1030058982885473, - "first_commit": "2023-11-07 12:04:07", - "latest_commit": "2023-11-17 05:01:00", + "score": -0.10913545891255438, + "first_commit": "2023-09-02 17:52:26", + "latest_commit": "2023-09-08 02:39:00", "languages": [], "model_or_dataset": "model", - "model_size": 6.74 + "model_size": 3.61, + "model_architectures": null }, { - "description": "line-corporation/japanese-large-lm-1.7b-instruction-sft line-corporationさんが公開しているjapanese-large-lm-1.7b-instruction-sftのgguf変換版です。 ", - "url": "https://huggingface.co./mmnga/line-corp-japanese-large-lm-1.7b-instruction-sft-gguf", - "project_name": "line-corp-japanese-large-lm-1.7b-instruction-sft-gguf", - "downloads": 349, + "description": "mt5_summarize_japanese (Japanese caption : 日本語の要約のモデル)", + "url": "https://huggingface.co./tsmatz/mt5_summarize_japanese", + "project_name": "mt5_summarize_japanese", + "downloads": 337, "source": "Hugging Face", - "score": -0.10308114709805426, - "first_commit": "2023-09-03 22:30:23", - "latest_commit": "2024-03-24 05:54:56", + "score": -0.1091511702692486, + "first_commit": "2022-11-26 10:51:27", + "latest_commit": "2024-07-12 00:01:31", "languages": [], "model_or_dataset": "model", - "model_size": 1.77 + "model_size": 0.3, + "model_architectures": "MT5ForConditionalGeneration" }, { - "description": "Ninja-v1-RP-expressive-GGUF 概要 Aratako/Ninja-v1-RP-expressive-v2の量子化済みGGUF版です。", - "url": "https://huggingface.co./Aratako/Ninja-v1-RP-expressive-v2-GGUF", - "project_name": "Ninja-v1-RP-expressive-v2-GGUF", - "downloads": 348, + "description": "Overview This dataset provides a convenient and user-friendly format of data from Aozora Bunko (青空文庫), a website that compiles public-domain books in Japan, ideal for Machine Learning applications.", + "url": "https://huggingface.co./datasets/globis-university/aozorabunko-clean", + "project_name": "aozorabunko-clean", + "downloads": 332, "source": "Hugging Face", - "score": -0.10309619685995565, - "first_commit": "2024-05-26 06:09:57", - "latest_commit": "2024-05-26 15:22:01", + "score": -0.10922972705271969, + "first_commit": "2023-06-26 13:31:28", + "latest_commit": "2023-10-27 13:22:32", "languages": [], - "model_or_dataset": "model", - "model_size": 7.24 + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null }, { - "description": "ku-nlp/roberta-base-japanese-char-wwm Model description This is a Japanese RoBERTa base model pre-trained on Japanese Wikipedia and the Japanese portion of CC-100.", - "url": "https://huggingface.co./ku-nlp/roberta-base-japanese-char-wwm", - "project_name": "roberta-base-japanese-char-wwm", - "downloads": 345, + "description": "t5-base-japanese-web (with Byte-fallback, 32K) Description megagonlabs/t5-base-japanese-web is a T5 (Text-to-Text Transfer Transformer) model pre-trained on Japanese web texts.", + "url": "https://huggingface.co./megagonlabs/t5-base-japanese-web", + "project_name": "t5-base-japanese-web", + "downloads": 331, "source": "Hugging Face", - "score": -0.10314134614565983, - "first_commit": "2022-09-20 05:07:34", - "latest_commit": "2023-03-20 08:05:45", + "score": -0.1092454384094139, + "first_commit": "2021-08-24 04:41:45", + "latest_commit": "2021-09-06 19:32:21", "languages": [], "model_or_dataset": "model", - "model_size": 0.1 + "model_size": null, + "model_architectures": "T5ForConditionalGeneration" }, { - "description": "LLaVA-JP Model Card Model detail Model type: LLaVA-JP is a vision-language model that can converse about input images.", - "url": "https://huggingface.co./toshi456/llava-jp-1.3b-v1.0", - "project_name": "llava-jp-1.3b-v1.0", - "downloads": 344, + "description": "hotchpotch/japanese-reranker-cross-encoder-small-v1 日本語で学習させた Reranker (CrossEncoder) シリーズです。 ", + "url": "https://huggingface.co./hotchpotch/japanese-reranker-cross-encoder-small-v1", + "project_name": "japanese-reranker-cross-encoder-small-v1", + "downloads": 330, "source": "Hugging Face", - "score": -0.10315639590756122, - "first_commit": "2023-12-04 13:13:03", - "latest_commit": "2023-12-18 10:21:11", + "score": -0.10926114976610811, + "first_commit": "2024-03-28 04:31:45", + "latest_commit": "2024-04-01 02:39:19", "languages": [], "model_or_dataset": "model", - "model_size": 1.73 + "model_size": 0.11800000000000001, + "model_architectures": "XLMRobertaForSequenceClassification" }, { - "description": "このモデルはdeberta-v2-base-japaneseをファインチューニングしてQAタスクに用いれるようにしたものです。 ", - "url": "https://huggingface.co./Mizuiro-sakura/deberta-v2-base-japanese-finetuned-QAe", - "project_name": "deberta-v2-base-japanese-finetuned-QAe", - "downloads": 343, + "description": "rinna/japanese-gpt-neox-3.6b rinnaさんが公開しているjapanese-gpt-neox-3.6bのgguf変換版です。 ", + "url": "https://huggingface.co./mmnga/rinna-japanese-gpt-neox-3.6b-gguf", + "project_name": "rinna-japanese-gpt-neox-3.6b-gguf", + "downloads": 330, "source": "Hugging Face", - "score": -0.10317144566946261, - "first_commit": "2023-01-09 11:59:13", - "latest_commit": "2023-03-27 02:43:35", + "score": -0.10926114976610811, + "first_commit": "2023-09-02 18:46:08", + "latest_commit": "2023-09-08 02:37:19", "languages": [], "model_or_dataset": "model", - "model_size": 0.112 + "model_size": 3.61, + "model_architectures": null }, { - "description": "Japanese GPT2 Lyric Model Model description", - "url": "https://huggingface.co./skytnt/gpt2-japanese-lyric-small", - "project_name": "gpt2-japanese-lyric-small", - "downloads": 341, + "description": "This repository contains some GGUF quantizations of the VNTL Gemma 2 27B model.", + "url": "https://huggingface.co./lmg-anon/vntl-gemma2-27b-gguf", + "project_name": "vntl-gemma2-27b-gguf", + "downloads": 328, "source": "Hugging Face", - "score": -0.1032015451932654, - "first_commit": "2022-04-21 04:25:18", - "latest_commit": "2023-10-23 12:46:36", + "score": -0.10929257247949654, + "first_commit": "2024-07-07 00:28:06", + "latest_commit": "2024-07-08 16:13:54", "languages": [], "model_or_dataset": "model", - "model_size": 0.123 + "model_size": 27.2, + "model_architectures": null }, { - "description": "This is a model for named entity recognition of Japanese medical documents.", - "url": "https://huggingface.co./sociocom/MedNER-CR-JA", - "project_name": "MedNER-CR-JA", - "downloads": 341, + "description": "tokyotech-llm様の Llama-3-Swallow-8B-Instruct-v0.1 をGGUF形式に変換したものです。 ", + "url": "https://huggingface.co./MCZK/Llama-3-Swallow-8B-Instruct-v0.1-GGUF", + "project_name": "Llama-3-Swallow-8B-Instruct-v0.1-GGUF", + "downloads": 326, "source": "Hugging Face", - "score": -0.1032015451932654, - "first_commit": "2022-08-23 03:30:43", - "latest_commit": "2024-07-31 07:44:00", + "score": -0.10932399519288498, + "first_commit": "2024-07-01 11:45:22", + "latest_commit": "2024-07-01 17:54:05", "languages": [], "model_or_dataset": "model", - "model_size": 0.11 + "model_size": 8.03, + "model_architectures": null }, { - "description": "Llama-3-8B-Japanese-Instruct-GGUF Original Model haqishen/Llama-3-8B-Japanese-Instruct Run with Gaianet Prompt template: prompt template: llama-3-chat Context size: chat_ctx_size: 4096 Run with GaiaNet:", - "url": "https://huggingface.co./gaianet/Llama-3-8B-Japanese-Instruct-GGUF", - "project_name": "Llama-3-8B-Japanese-Instruct-GGUF", - "downloads": 339, + "description": "[Llama-3.1-70B-EZO-1.1-it] Model Card モデル情報 / Model Information このモデルは、Meta AI の Llama 3.1 をベースに、日本語タスクでの性能を向上させるためにファインチューニングを行ったものです。", + "url": "https://huggingface.co./AXCXEPT/Llama-3.1-70B-EZO-1.1-it", + "project_name": "Llama-3.1-70B-EZO-1.1-it", + "downloads": 326, "source": "Hugging Face", - "score": -0.10323164471706818, - "first_commit": "2024-05-14 05:38:05", - "latest_commit": "2024-05-16 13:44:53", + "score": -0.10932399519288498, + "first_commit": "2024-07-29 01:35:35", + "latest_commit": "2024-08-23 10:52:31", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": 70.6, + "model_architectures": "LlamaForCausalLM" }, { - "description": "aixsatoshi-Honyaku-13b-gguf aixsatoshiさんが公開しているHonyaku-13bのggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/aixsatoshi-Honyaku-13b-gguf", - "project_name": "aixsatoshi-Honyaku-13b-gguf", - "downloads": 334, + "description": "YuisekinAIEvol-Mistral-7B-ja-math-v0.1.1-gguf yuisekiさんが公開しているYuisekinAIEvol-Mistral-7B-ja-math-v0.1.1のggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/YuisekinAIEvol-Mistral-7B-ja-math-v0.1.1-gguf", + "project_name": "YuisekinAIEvol-Mistral-7B-ja-math-v0.1.1-gguf", + "downloads": 323, "source": "Hugging Face", - "score": -0.10330689352657514, - "first_commit": "2024-05-19 08:07:15", - "latest_commit": "2024-05-19 09:24:59", + "score": -0.10937112926296763, + "first_commit": "2024-04-29 14:18:07", + "latest_commit": "2024-04-29 15:52:08", "languages": [], "model_or_dataset": "model", - "model_size": 13.1 + "model_size": 7.24, + "model_architectures": null }, { - "description": "t5-base-japanese-web (with Byte-fallback, 32K) Description megagonlabs/t5-base-japanese-web is a T5 (Text-to-Text Transfer Transformer) model pre-trained on Japanese web texts.", - "url": "https://huggingface.co./megagonlabs/t5-base-japanese-web", - "project_name": "t5-base-japanese-web", - "downloads": 334, + "description": "c4ai-command-r-plus-gguf CohereForAIさんが公開しているc4ai-command-r-plusのggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/c4ai-command-r-plus-gguf", + "project_name": "c4ai-command-r-plus-gguf", + "downloads": 321, "source": "Hugging Face", - "score": -0.10330689352657514, - "first_commit": "2021-08-24 04:41:45", - "latest_commit": "2021-09-06 19:32:21", + "score": -0.10940255197635607, + "first_commit": "2024-04-22 14:46:41", + "latest_commit": "2024-04-23 16:13:37", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": null }, { - "description": "Model card for model ID", - "url": "https://huggingface.co./retrieva-jp/t5-base-long", - "project_name": "t5-base-long", - "downloads": 330, + "description": "luke-japanese luke-japanese is the Japanese version of LUKE (Language Understanding with Knowledge-based Embeddings), a pre-trained knowledge-enhanced contextualized representation of words and entities.", + "url": "https://huggingface.co./studio-ousia/luke-japanese-base-lite", + "project_name": "luke-japanese-base-lite", + "downloads": 316, "source": "Hugging Face", - "score": -0.10336709257418071, - "first_commit": "2023-04-26 08:30:59", - "latest_commit": "2023-05-10 10:00:00", + "score": -0.10948110875982715, + "first_commit": "2022-10-25 09:27:16", + "latest_commit": "2022-11-09 15:22:22", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "LukeForMaskedLM" }, { - "description": "ELYZA-japanese-Llama-2-13b-fast-instruct-GGUF", - "url": "https://huggingface.co./QuantFactory/ELYZA-japanese-Llama-2-13b-fast-instruct-GGUF", - "project_name": "ELYZA-japanese-Llama-2-13b-fast-instruct-GGUF", - "downloads": 326, + "description": "QuantFactory/Llama3.1-ArrowSE-v0.4-GGUF This is quantized version of DataPilot/Llama3.1-ArrowSE-v0.4 created using llama.cpp Original Model Card 概要 このモデルはllama3.1-8B-instructをもとに日本語性能を高めることを目的にMergekit&ファインチューニングを用いて作成されました。 ", + "url": "https://huggingface.co./QuantFactory/Llama3.1-ArrowSE-v0.4-GGUF", + "project_name": "Llama3.1-ArrowSE-v0.4-GGUF", + "downloads": 316, "source": "Hugging Face", - "score": -0.10342729162178628, - "first_commit": "2024-07-05 05:56:09", - "latest_commit": "2024-07-13 13:29:45", + "score": -0.10948110875982715, + "first_commit": "2024-07-28 06:17:48", + "latest_commit": "2024-07-28 06:57:40", "languages": [], "model_or_dataset": "model", - "model_size": 1.1 - }, - { - "description": "Model card for model ID", - "url": "https://huggingface.co./retrieva-jp/t5-large-long", - "project_name": "t5-large-long", - "downloads": 325, + "model_size": 8.03, + "model_architectures": null + }, + { + "description": "recruit-jp/japanese-typo-detector-roberta-base モデルの概要 日本語の文章を入力すると各文字ごとに誤字脱字である確率を出力します 各ラベルの意味は以下の通りです id label meaning 0 OK 誤字なし 1 deletion 1文字の抜け 2 insertion_a 余分な1文字の挿入 3 insertion_b 直前の文字列と一致する２文字以上の余分な文字の挿入 4 kanji-conversion_a 同一の読みを持つ漢字の入れ替え（誤変換） 5 kanji-conversion_b 近い読みを持つ漢字の入れ替え（誤変換） 6 substitution 1文字の入れ替え 7 transposition 隣接する２文字間の転置 8 others その他の入力誤り 誤り種類の詳細については学習データセットの元論文をご参照ください 日本語 Wikipedia の編集履歴に基づく 入力誤りデータセットと訂正システムの改良 その他、モデルの詳細については当社ブログ記事をご参照ください 誤字脱字検出モデルをHugging Face Hubに公開しました (Re", + "url": "https://huggingface.co./recruit-jp/japanese-typo-detector-roberta-base", + "project_name": "japanese-typo-detector-roberta-base", + "downloads": 315, "source": "Hugging Face", - "score": -0.10344234138368769, - "first_commit": "2023-04-26 08:33:12", - "latest_commit": "2023-05-10 10:00:35", + "score": -0.10949682011652137, + "first_commit": "2023-11-09 06:27:40", + "latest_commit": "2023-12-21 03:07:31", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.0996, + "model_architectures": "RobertaForTokenClassification" }, { - "description": "ElanMT ElanMT-BT-en-ja is a English to Japanese translation model developed by ELAN MITSUA Project / Abstract Engine.", - "url": "https://huggingface.co./Mitsua/elan-mt-bt-en-ja", - "project_name": "elan-mt-bt-en-ja", - "downloads": 325, + "description": "line-corporation/japanese-large-lm-1.7b-instruction-sft line-corporationさんが公開しているjapanese-large-lm-1.7b-instruction-sftのgguf変換版です。 ", + "url": "https://huggingface.co./mmnga/line-corp-japanese-large-lm-1.7b-instruction-sft-gguf", + "project_name": "line-corp-japanese-large-lm-1.7b-instruction-sft-gguf", + "downloads": 313, "source": "Hugging Face", - "score": -0.10344234138368769, - "first_commit": "2024-05-20 01:51:18", - "latest_commit": "2024-05-20 01:53:38", + "score": -0.1095282428299098, + "first_commit": "2023-09-03 22:30:23", + "latest_commit": "2024-03-24 05:54:56", "languages": [], "model_or_dataset": "model", - "model_size": 0.0606 + "model_size": null, + "model_architectures": null }, { - "description": "回答と回答が出てくるパラグラフを与えると質問文を生成するモデル SEE: https://github.com/sonoisa/deep-question-generation 本モデルの作成ステップ概要 SQuAD 1.1を日本語に機械翻訳し、不正なデータをクレンジング（有効なデータは約半分）。", - "url": "https://huggingface.co./sonoisa/t5-base-japanese-question-generation", - "project_name": "t5-base-japanese-question-generation", - "downloads": 325, + "description": "What’s this?", + "url": "https://huggingface.co./globis-university/deberta-v3-japanese-xsmall", + "project_name": "deberta-v3-japanese-xsmall", + "downloads": 307, "source": "Hugging Face", - "score": -0.10344234138368769, - "first_commit": "2021-04-03 14:08:55", - "latest_commit": "2022-03-11 02:50:33", + "score": -0.10962251097007511, + "first_commit": "2023-09-21 16:12:53", + "latest_commit": "2024-07-05 05:48:15", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "DebertaV2ForTokenClassification" }, { - "description": "Dataset Preprocessing Supported Tasks and Leaderboards Languages 注釈はすべて日本語を主要言語としています。 ", - "url": "https://huggingface.co./datasets/shunk031/jsnli", - "project_name": "jsnli", - "downloads": 323, + "description": "ryota39-Phi-3-mini-4k-instruct-dpo-gguf ryota39さんが公開しているPhi-3-mini-4k-instruct-dpoのggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/ryota39-Phi-3-mini-4k-instruct-dpo-gguf", + "project_name": "ryota39-Phi-3-mini-4k-instruct-dpo-gguf", + "downloads": 306, "source": "Hugging Face", - "score": -0.10347244090749047, - "first_commit": "2022-12-01 01:31:32", - "latest_commit": "2022-12-12 16:36:58", + "score": -0.10963822232676933, + "first_commit": "2024-04-29 14:27:31", + "latest_commit": "2024-04-29 16:53:45", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": 3.82, + "model_architectures": null }, { - "description": "Overview This dataset provides a convenient and user-friendly format of data from Aozora Bunko (青空文庫), a website that compiles public-domain books in Japan, ideal for Machine Learning applications.", - "url": "https://huggingface.co./datasets/globis-university/aozorabunko-clean", - "project_name": "aozorabunko-clean", - "downloads": 323, + "description": "HODACHI様の EZO-Common-T2-2B-gemma-2-it をGGUF形式に変換したものです。 ", + "url": "https://huggingface.co./MCZK/EZO-Common-T2-2B-gemma-2-it-GGUF", + "project_name": "EZO-Common-T2-2B-gemma-2-it-GGUF", + "downloads": 299, "source": "Hugging Face", - "score": -0.10347244090749047, - "first_commit": "2023-06-26 13:31:28", - "latest_commit": "2023-10-27 13:22:32", + "score": -0.10974820182362885, + "first_commit": "2024-08-01 11:38:48", + "latest_commit": "2024-08-01 13:42:20", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": 2.61, + "model_architectures": null }, { "description": "Dataset.", "url": "https://huggingface.co./datasets/hpprc/jsick", "project_name": "jsick", - "downloads": 320, + "downloads": 294, "source": "Hugging Face", - "score": -0.10351759019319465, + "score": -0.10982675860709994, "first_commit": "2023-04-08 16:02:06", "latest_commit": "2023-04-11 15:18:09", "languages": [], "model_or_dataset": "dataset", - "model_size": null + "model_size": null, + "model_architectures": null }, { - "description": "Ninja-v1-128k-gguf Local-Novel-LLM-projectさんが公開しているNinja-v1-128kのggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/Ninja-v1-128k-gguf", - "project_name": "Ninja-v1-128k-gguf", - "downloads": 319, + "description": "tokyotech-llm-Swallow-MS-7b-instruct-v0.1-gguf tokyotech-llmさんが公開しているSwallow-MS-7b-instruct-v0.1のggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/tokyotech-llm-Swallow-MS-7b-instruct-v0.1-gguf", + "project_name": "tokyotech-llm-Swallow-MS-7b-instruct-v0.1-gguf", + "downloads": 292, "source": "Hugging Face", - "score": -0.10353263995509604, - "first_commit": "2024-05-01 17:48:06", - "latest_commit": "2024-05-04 13:25:20", + "score": -0.10985818132048837, + "first_commit": "2024-05-02 13:37:22", + "latest_commit": "2024-05-03 04:35:34", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": 7.33, + "model_architectures": null }, { - "description": "License:CreativeML Open RAIL-M Additional Copyright: sazyou_roukaku (TwitterID @sazyou_roukaku) as of June 25, 2023 このモデルは『CreativeML Open RAIL-M』でLicenseそのものに変更はありません。 ", - "url": "https://huggingface.co./sazyou-roukaku/LittleStepMix", - "project_name": "LittleStepMix", - "downloads": 318, + "description": "Oumuamua-7b-RP GGUF版はこちら/Click here for the GGUF version 概要 This is a merge of pre-trained language models created using mergekit. ", + "url": "https://huggingface.co./Aratako/Oumuamua-7b-RP", + "project_name": "Oumuamua-7b-RP", + "downloads": 292, "source": "Hugging Face", - "score": -0.10354768971699743, - "first_commit": "2023-06-25 06:57:42", - "latest_commit": "2023-07-04 10:47:46", + "score": -0.10985818132048837, + "first_commit": "2024-06-23 12:30:16", + "latest_commit": "2024-06-23 17:06:53", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 7.33, + "model_architectures": "MistralForCausalLM" }, { - "description": "Llama-3-EZO-VLM-1 Based on SakanaAI/Llama-3-EvoVLM-JP-v2, it has been enhanced for Japanese usage through additional pre-training and instruction tuning.", - "url": "https://huggingface.co./AXCXEPT/Llama-3-EZO-VLM-1", - "project_name": "Llama-3-EZO-VLM-1", - "downloads": 310, + "description": "tokyotech-llm-Swallow-70b-instruct-v0.1-gguf tokyotech-llmさんが公開しているSwallow-70b-instruct-v0.1のggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/tokyotech-llm-Swallow-70b-instruct-v0.1-gguf", + "project_name": "tokyotech-llm-Swallow-70b-instruct-v0.1-gguf", + "downloads": 289, "source": "Hugging Face", - "score": -0.10366808781220857, - "first_commit": "2024-08-03 17:15:09", - "latest_commit": "2024-08-23 10:55:53", + "score": -0.10990531539057102, + "first_commit": "2024-05-03 09:00:00", + "latest_commit": "2024-05-04 06:52:16", "languages": [], "model_or_dataset": "model", - "model_size": 8.48 + "model_size": 69.2, + "model_architectures": null }, { - "description": "Githubリポジトリstockmarkteam/ner-wikipedia-datasetで公開されているデータセットを利用しています。", - "url": "https://huggingface.co./datasets/llm-book/ner-wikipedia-dataset", - "project_name": "ner-wikipedia-dataset", - "downloads": 308, + "description": "Dataset Preprocessing Supported Tasks and Leaderboards Languages 注釈はすべて日本語を主要言語としています。 ", + "url": "https://huggingface.co./datasets/shunk031/jsnli", + "project_name": "jsnli", + "downloads": 288, "source": "Hugging Face", - "score": -0.10369818733601135, - "first_commit": "2023-04-15 10:43:21", - "latest_commit": "2023-12-12 11:25:51", + "score": -0.10992102674726524, + "first_commit": "2022-12-01 01:31:32", + "latest_commit": "2022-12-12 16:36:58", "languages": [], "model_or_dataset": "dataset", - "model_size": null + "model_size": null, + "model_architectures": null }, { - "description": "ArrowPro-7B-KillerWhale-gguf DataPilotさんが公開しているArrowPro-7B-KillerWhaleのggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/ArrowPro-7B-KillerWhale-gguf", - "project_name": "ArrowPro-7B-KillerWhale-gguf", - "downloads": 306, + "description": "JA-VG-VQA-500 Dataset Description JA-VG-VQA-500 is a 500-sample subset of Japanese Visual Genome VQA dataset.", + "url": "https://huggingface.co./datasets/SakanaAI/JA-VG-VQA-500", + "project_name": "JA-VG-VQA-500", + "downloads": 282, "source": "Hugging Face", - "score": -0.10372828685981414, - "first_commit": "2024-05-29 15:06:55", - "latest_commit": "2024-05-29 15:53:17", + "score": -0.11001529488743053, + "first_commit": "2024-03-21 09:51:10", + "latest_commit": "2024-05-14 04:11:31", "languages": [], - "model_or_dataset": "model", - "model_size": 7.24 + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null }, { - "description": "What’s this?", - "url": "https://huggingface.co./globis-university/deberta-v3-japanese-xsmall", - "project_name": "deberta-v3-japanese-xsmall", - "downloads": 295, + "description": "Japanese Natural Language Inference Model", + "url": "https://huggingface.co./cyberagent/xlm-roberta-large-jnli-jsick", + "project_name": "xlm-roberta-large-jnli-jsick", + "downloads": 280, "source": "Hugging Face", - "score": -0.10389383424072945, - "first_commit": "2023-09-21 16:12:53", - "latest_commit": "2024-07-05 05:48:15", + "score": -0.11004671760081897, + "first_commit": "2022-12-23 10:51:12", + "latest_commit": "2022-12-23 10:51:12", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "XLMRobertaForSequenceClassification" }, { - "description": "OcuteusのGGUF版です。 ", - "url": "https://huggingface.co./Local-Novel-LLM-project/Ocuteus-v1-gguf", - "project_name": "Ocuteus-v1-gguf", - "downloads": 291, + "description": "Ninja-v1-RP-expressive-GGUF 概要 Aratako/Ninja-v1-RP-expressive-v2の量子化済みGGUF版です。", + "url": "https://huggingface.co./Aratako/Ninja-v1-RP-expressive-v2-GGUF", + "project_name": "Ninja-v1-RP-expressive-v2-GGUF", + "downloads": 278, "source": "Hugging Face", - "score": -0.10395403328833502, - "first_commit": "2024-05-07 09:57:49", - "latest_commit": "2024-05-10 06:18:35", + "score": -0.1100781403142074, + "first_commit": "2024-05-26 06:09:57", + "latest_commit": "2024-05-26 15:22:01", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": 7.24, + "model_architectures": null }, { - "description": "Mistral-7B-Instruct-v0.3-gguf mistralaiさんが公開しているMistral-7B-Instruct-v0.3のggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/Mistral-7B-Instruct-v0.3-gguf", - "project_name": "Mistral-7B-Instruct-v0.3-gguf", - "downloads": 291, + "description": "Model Card for Japanese BART large Model description", + "url": "https://huggingface.co./ku-nlp/bart-large-japanese", + "project_name": "bart-large-japanese", + "downloads": 276, "source": "Hugging Face", - "score": -0.10395403328833502, - "first_commit": "2024-05-23 14:44:25", - "latest_commit": "2024-05-23 15:58:46", + "score": -0.11010956302759584, + "first_commit": "2023-05-09 07:44:59", + "latest_commit": "2023-05-12 11:05:03", "languages": [], "model_or_dataset": "model", - "model_size": 7.25 + "model_size": null, + "model_architectures": "MBartForConditionalGeneration" }, { - "description": "オリジナルのサイトと同じものを使用しています。 ", - "url": "https://huggingface.co./datasets/llm-book/livedoor-news-corpus", - "project_name": "livedoor-news-corpus", - "downloads": 280, + "description": "pfnet-Llama3-Preferred-MedSwallow-70B-gguf pfnetさんが公開しているLlama3-Preferred-MedSwallow-70Bのggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/pfnet-Llama3-Preferred-MedSwallow-70B-gguf", + "project_name": "pfnet-Llama3-Preferred-MedSwallow-70B-gguf", + "downloads": 275, "source": "Hugging Face", - "score": -0.10411958066925034, - "first_commit": "2023-06-21 07:16:52", - "latest_commit": "2023-12-12 11:19:43", + "score": -0.11012527438429005, + "first_commit": "2024-07-18 15:45:16", + "latest_commit": "2024-07-19 09:14:38", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": 70.6, + "model_architectures": null }, { - "description": "Fugaku-LLM利用規約 この利用規約（以下「本規約」といいます）は、富士通株式会社、国立研究開発法人理化学研究所、国立大学法人東京工業大学、国立大学法人東北大学、株式会社サイバーエージェント、国立大学法人東海国立大学機構、及び株式会社Kotoba Technologies Japan (以下「開発者」といいます)による、スーパーコンピュータ「富岳」政策対応枠における大規模言語モデル分散並列学習手法の開発の成果物として公開する大規模言語モデル（以下「Fugaku-LLM」といいます）の利用に関する条件を定めるものです。", - "url": "https://huggingface.co./Fugaku-LLM/Fugaku-LLM-13B", - "project_name": "Fugaku-LLM-13B", + "description": "zenz-v1 Checkpoints zenz-v1 is a language model specialized for kana-kanji conversion tasks based on the GPT-2 architecture.", + "url": "https://huggingface.co./Miwa-Keita/zenz-v1-checkpoints", + "project_name": "zenz-v1-checkpoints", "downloads": 273, "source": "Hugging Face", - "score": -0.10422492900256008, - "first_commit": null, - "latest_commit": null, + "score": -0.11015669709767849, + "first_commit": "2024-06-28 14:26:33", + "latest_commit": "2024-06-28 14:53:43", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "GPT2LMHeadModel" }, { - "description": "I'm constantly enhancing these model descriptions to provide you with the most relevant and comprehensive information japanese-stablelm-3b-4e1t-base - GGUF Model creator: stabilityai Original model: japanese-stablelm-3b-4e1t-base StableLM", - "url": "https://huggingface.co./maddes8cht/stabilityai-japanese-stablelm-3b-4e1t-base-gguf", - "project_name": "stabilityai-japanese-stablelm-3b-4e1t-base-gguf", + "description": "What’s this?", + "url": "https://huggingface.co./globis-university/deberta-v3-japanese-large", + "project_name": "deberta-v3-japanese-large", + "downloads": 269, + "source": "Hugging Face", + "score": -0.11021954252445536, + "first_commit": "2023-09-21 16:15:15", + "latest_commit": "2024-07-05 05:50:06", + "languages": [], + "model_or_dataset": "model", + "model_size": null, + "model_architectures": "DebertaV2ForTokenClassification" + }, + { + "description": "This is a Japanese sentence-LUKE model.", + "url": "https://huggingface.co./cheonboy/sentence_embedding_japanese", + "project_name": "sentence_embedding_japanese", "downloads": 268, "source": "Hugging Face", - "score": -0.10430017781206705, - "first_commit": "2023-11-16 10:23:21", - "latest_commit": "2023-11-16 11:18:48", + "score": -0.11023525388114958, + "first_commit": "2023-10-05 05:10:25", + "latest_commit": "2023-10-05 05:13:09", "languages": [], "model_or_dataset": "model", - "model_size": 2.8 + "model_size": null, + "model_architectures": "LukeModel" }, { - "description": "stockmark-100b-gguf stockmarkさんが公開しているstockmark-100bのggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/stockmark-100b-gguf", - "project_name": "stockmark-100b-gguf", - "downloads": 266, + "description": "Dataset Summary This is the Business Scene Dialogue (BSD) dataset, a Japanese-English parallel corpus containing written conversations in various business scenarios.", + "url": "https://huggingface.co./datasets/ryo0634/bsd_ja_en", + "project_name": "bsd_ja_en", + "downloads": 267, "source": "Hugging Face", - "score": -0.10433027733586983, - "first_commit": "2024-05-17 12:45:56", - "latest_commit": "2024-05-18 09:14:46", + "score": -0.11025096523784379, + "first_commit": "2022-01-25 16:35:02", + "latest_commit": "2024-01-11 07:36:44", + "languages": [], + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null + }, + { + "description": "ELYZA-japanese-Llama-2-13b-fast-instruct-GGUF", + "url": "https://huggingface.co./QuantFactory/ELYZA-japanese-Llama-2-13b-fast-instruct-GGUF", + "project_name": "ELYZA-japanese-Llama-2-13b-fast-instruct-GGUF", + "downloads": 264, + "source": "Hugging Face", + "score": -0.11029809930792644, + "first_commit": "2024-07-05 05:56:09", + "latest_commit": "2024-07-13 13:29:45", "languages": [], "model_or_dataset": "model", - "model_size": 96.2 + "model_size": 1.1, + "model_architectures": null + }, + { + "description": "Githubリポジトリstockmarkteam/ner-wikipedia-datasetで公開されているデータセットを利用しています。", + "url": "https://huggingface.co./datasets/llm-book/ner-wikipedia-dataset", + "project_name": "ner-wikipedia-dataset", + "downloads": 264, + "source": "Hugging Face", + "score": -0.11029809930792644, + "first_commit": "2023-04-15 10:43:21", + "latest_commit": "2023-12-12 11:25:51", + "languages": [], + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null }, { "description": "JaQuAD is developed to provide a SQuAD-like QA dataset in Japanese.", "url": "https://huggingface.co./datasets/SkelterLabsInc/JaQuAD", "project_name": "JaQuAD", - "downloads": 261, + "downloads": 263, "source": "Hugging Face", - "score": -0.10440552614537679, + "score": -0.11031381066462066, "first_commit": "2022-01-26 01:34:38", "latest_commit": "2022-10-25 09:06:40", "languages": [], "model_or_dataset": "dataset", - "model_size": null + "model_size": null, + "model_architectures": null }, { - "description": "fio-base-japanese-v0.1 日本語版は近日公開予定です（日本語を勉強中なので、間違いはご容赦ください！", - "url": "https://huggingface.co./bclavie/fio-base-japanese-v0.1", - "project_name": "fio-base-japanese-v0.1", - "downloads": 260, + "description": "OcuteusのGGUF版です。 ", + "url": "https://huggingface.co./Local-Novel-LLM-project/Ocuteus-v1-gguf", + "project_name": "Ocuteus-v1-gguf", + "downloads": 262, "source": "Hugging Face", - "score": -0.10442057590727818, - "first_commit": "2023-12-18 11:01:07", - "latest_commit": "2023-12-19 10:28:16", + "score": -0.11032952202131488, + "first_commit": "2024-05-07 09:57:49", + "latest_commit": "2024-05-10 06:18:35", "languages": [], "model_or_dataset": "model", - "model_size": 0.111 + "model_size": 7.24, + "model_architectures": null }, { - "description": "Japanese Natural Language Inference Model", - "url": "https://huggingface.co./cyberagent/xlm-roberta-large-jnli-jsick", - "project_name": "xlm-roberta-large-jnli-jsick", - "downloads": 259, + "description": "DataPilot-ArrowPro-7B-RobinHood-gguf DataPilotさんが公開しているArrowPro-7B-RobinHoodのggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/DataPilot-ArrowPro-7B-RobinHood-gguf", + "project_name": "DataPilot-ArrowPro-7B-RobinHood-gguf", + "downloads": 262, "source": "Hugging Face", - "score": -0.10443562566917958, - "first_commit": "2022-12-23 10:51:12", - "latest_commit": "2022-12-23 10:51:12", + "score": -0.11032952202131488, + "first_commit": "2024-05-11 07:22:37", + "latest_commit": "2024-05-11 13:43:09", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 7.24, + "model_architectures": null }, { - "description": "QuantFactory/llama-3-youko-8b-GGUF", - "url": "https://huggingface.co./QuantFactory/llama-3-youko-8b-GGUF", - "project_name": "llama-3-youko-8b-GGUF", - "downloads": 258, + "description": "Japanese GPT2 Lyric Model Model description", + "url": "https://huggingface.co./skytnt/gpt2-japanese-lyric-small", + "project_name": "gpt2-japanese-lyric-small", + "downloads": 259, "source": "Hugging Face", - "score": -0.10445067543108097, - "first_commit": "2024-06-24 05:04:12", - "latest_commit": "2024-06-24 06:35:40", + "score": -0.11037665609139753, + "first_commit": "2022-04-21 04:25:18", + "latest_commit": "2023-10-23 12:46:36", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": 0.123, + "model_architectures": "GPT2LMHeadModel" }, { - "description": "Fugaku-LLM利用規約 この利用規約（以下「本規約」といいます）は、富士通株式会社、国立研究開発法人理化学研究所、国立大学法人東京工業大学、国立大学法人東北大学、株式会社サイバーエージェント、国立大学法人東海国立大学機構、及び株式会社Kotoba Technologies Japan (以下「開発者」といいます)による、スーパーコンピュータ「富岳」政策対応枠における大規模言語モデル分散並列学習手法の開発の成果物として公開する大規模言語モデル（以下「Fugaku-LLM」といいます）の利用に関する条件を定めるものです。", - "url": "https://huggingface.co./Fugaku-LLM/Fugaku-LLM-13B-instruct-gguf", - "project_name": "Fugaku-LLM-13B-instruct-gguf", - "downloads": 257, + "description": "Ninja-v1-128k-gguf Local-Novel-LLM-projectさんが公開しているNinja-v1-128kのggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/Ninja-v1-128k-gguf", + "project_name": "Ninja-v1-128k-gguf", + "downloads": 249, + "source": "Hugging Face", + "score": -0.1105337696583397, + "first_commit": "2024-05-01 17:48:06", + "latest_commit": "2024-05-04 13:25:20", + "languages": [], + "model_or_dataset": "model", + "model_size": 7.24, + "model_architectures": null + }, + { + "description": "By clicking \"Agree\", you agree to the License Agreement and acknowledge Stability AI's Privacy Policy.", + "url": "https://huggingface.co./stabilityai/japanese-stable-diffusion-xl", + "project_name": "japanese-stable-diffusion-xl", + "downloads": 243, "source": "Hugging Face", - "score": -0.10446572519298236, + "score": -0.110628037798505, "first_commit": null, "latest_commit": null, "languages": [], "model_or_dataset": "model", - "model_size": 13.4 + "model_size": null, + "model_architectures": null }, { - "description": "Qwen1.5-110B-Chat-gguf Qwenさんが公開しているQwen1.5-110B-Chatのggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/Qwen1.5-110B-Chat-gguf", - "project_name": "Qwen1.5-110B-Chat-gguf", - "downloads": 244, + "description": "pfnet-nekomata-14b-pfn-qfin-inst-merge-gguf pfnetさんが公開しているnekomata-14b-pfn-qfin-inst-mergeのggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/pfnet-nekomata-14b-pfn-qfin-inst-merge-gguf", + "project_name": "pfnet-nekomata-14b-pfn-qfin-inst-merge-gguf", + "downloads": 242, "source": "Hugging Face", - "score": -0.10466137209770046, - "first_commit": "2024-04-27 19:35:48", - "latest_commit": "2024-04-28 08:09:17", + "score": -0.11064374915519921, + "first_commit": "2024-04-23 14:53:08", + "latest_commit": "2024-04-24 14:39:32", "languages": [], "model_or_dataset": "model", - "model_size": 111.0 + "model_size": 14.2, + "model_architectures": null }, { - "description": "By clicking \"Agree\", you agree to the License Agreement and acknowledge Stability AI's Privacy Policy.", - "url": "https://huggingface.co./stabilityai/japanese-stable-diffusion-xl", - "project_name": "japanese-stable-diffusion-xl", + "description": "Dataset Details Dataset Type:Japanese LLaVA Instruct 150K is a localized version of the original LLaVA Visual Instruct 150K dataset.", + "url": "https://huggingface.co./datasets/turing-motors/LLaVA-Instruct-150K-JA", + "project_name": "LLaVA-Instruct-150K-JA", "downloads": 242, "source": "Hugging Face", - "score": -0.10469147162150325, + "score": -0.11064374915519921, "first_commit": null, "latest_commit": null, "languages": [], - "model_or_dataset": "model", - "model_size": null + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null }, { - "description": "SakanaAI-EvoLLM-JP-A-v1-7B-gguf SakanaAIさんが公開しているEvoLLM-JP-A-v1-7Bのggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/SakanaAI-EvoLLM-JP-A-v1-7B-gguf", - "project_name": "SakanaAI-EvoLLM-JP-A-v1-7B-gguf", + "description": "※llama.cpp Releases b3428(7/21)", + "url": "https://huggingface.co./MCZK/EZO-Humanities-9B-gemma-2-it-GGUF", + "project_name": "EZO-Humanities-9B-gemma-2-it-GGUF", "downloads": 241, "source": "Hugging Face", - "score": -0.10470652138340464, - "first_commit": "2024-03-21 13:25:41", - "latest_commit": "2024-03-21 14:48:28", + "score": -0.11065946051189343, + "first_commit": "2024-07-10 22:02:03", + "latest_commit": "2024-07-21 18:11:21", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": 9.24, + "model_architectures": null }, { - "description": "SpeechT5 (TTS task) for Japanese SpeechT5 model fine-tuned for Japanese speech synthesis (text-to-speech)", - "url": "https://huggingface.co./esnya/japanese_speecht5_tts", - "project_name": "japanese_speecht5_tts", + "description": "XLNet-japanese Model description This model require Mecab and senetencepiece with XLNetTokenizer.", + "url": "https://huggingface.co./hajime9652/xlnet-japanese", + "project_name": "xlnet-japanese", "downloads": 240, "source": "Hugging Face", - 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"first_commit": "2015-03-19 10:52:02", - "latest_commit": "2020-09-14 19:58:39", - "languages": [], - "model_or_dataset": "dataset" + "model_size": null, + "model_architectures": "XLNetLMHeadModel" }, { "description": "日本語向け Llama 3 8B はじめに このリポジトリはLlama 3を日本語化しようとしたモデルのリポジトリです。", "url": "https://huggingface.co./alfredplpl/Llama-3-8B-Instruct-Ja", "project_name": "Llama-3-8B-Instruct-Ja", - "downloads": 238, + "downloads": 240, "source": "Hugging Face", - "score": -0.10475167066910882, + "score": -0.11067517186858765, "first_commit": "2024-04-22 05:14:33", "latest_commit": "2024-05-01 19:16:01", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": 8.03, + "model_architectures": "LlamaForCausalLM" }, { - "description": "ELYZA-japanese-CodeLlama-7b-gguf ELYZAさんが公開しているELYZA-japanese-CodeLlama-7b-instructのggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/ELYZA-japanese-CodeLlama-7b-gguf", - "project_name": "ELYZA-japanese-CodeLlama-7b-gguf", - "downloads": 237, + "description": "Model card for model ID", + "url": "https://huggingface.co./retrieva-jp/t5-large-short", + "project_name": "t5-large-short", + "downloads": 239, "source": "Hugging Face", - 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"model_size": 0.91 + "model_size": 8.03, + "model_architectures": null }, { - "description": "Model Card for Japanese BART large Model description", - "url": "https://huggingface.co./ku-nlp/bart-large-japanese", - "project_name": "bart-large-japanese", - "downloads": 229, + "description": "SpeechT5 (TTS task) for Japanese SpeechT5 model fine-tuned for Japanese speech synthesis (text-to-speech)", + "url": "https://huggingface.co./esnya/japanese_speecht5_tts", + "project_name": "japanese_speecht5_tts", + "downloads": 233, "source": "Hugging Face", - "score": -0.10488711852622135, - "first_commit": "2023-05-09 07:44:59", - "latest_commit": "2023-05-12 11:05:03", + "score": -0.11078515136544717, + "first_commit": "2023-08-08 18:37:40", + "latest_commit": "2023-08-09 09:25:38", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.14400000000000002, + "model_architectures": "SpeechT5ForTextToSpeech" }, { - "description": "This is a model for named entity recognition of Japanese medical documents.", - "url": "https://huggingface.co./sociocom/MedNERN-CR-JA", - "project_name": "MedNERN-CR-JA", - "downloads": 228, + "description": "BERT small Japanese finance This is a BERT model pretrained on texts in the Japanese language.", + "url": "https://huggingface.co./izumi-lab/bert-small-japanese", + "project_name": "bert-small-japanese", + "downloads": 230, "source": "Hugging Face", - "score": -0.10490216828812274, - "first_commit": "2023-04-13 08:25:56", - "latest_commit": "2024-02-26 13:53:06", + "score": -0.11083228543552982, + "first_commit": "2021-10-04 13:09:36", + "latest_commit": "2022-12-09 00:40:57", "languages": [], "model_or_dataset": "model", - "model_size": 0.11 + "model_size": null, + "model_architectures": "BertForMaskedLM" }, { - "description": "Evaluation on MIRACL japanese These models don't train on the MIRACL training data.", - "url": "https://huggingface.co./aken12/splade-japanese-v3", - "project_name": "splade-japanese-v3", + "description": "Model card for model ID", + "url": "https://huggingface.co./retrieva-jp/t5-large-long", + "project_name": "t5-large-long", "downloads": 227, "source": "Hugging Face", - "score": -0.10491721805002413, - "first_commit": "2024-03-29 12:35:47", - "latest_commit": "2024-05-22 02:59:37", - "languages": [], - "model_or_dataset": "model", - "model_size": null - }, - { - "description": "XLNet-japanese Model description This model require Mecab and senetencepiece with XLNetTokenizer.", - "url": "https://huggingface.co./hajime9652/xlnet-japanese", - "project_name": "xlnet-japanese", - "downloads": 225, - "source": "Hugging Face", - "score": -0.10494731757382691, - "first_commit": "2021-04-01 03:12:11", - "latest_commit": "2023-01-05 04:28:36", + "score": -0.11087941950561248, + "first_commit": "2023-04-26 08:33:12", + "latest_commit": "2023-05-10 10:00:35", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "T5ForConditionalGeneration" }, { - "description": "I'm constantly enhancing these model descriptions to provide you with the most relevant and comprehensive information japanese-stablelm-3b-4e1t-instruct - 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"downloads": 219, + "description": "Local-Novel-LLM-project様の Assistance をGGUF形式に変換したものです。 ", + "url": "https://huggingface.co./MCZK/Assistance-7B-GGUF", + "project_name": "Assistance-7B-GGUF", + "downloads": 216, "source": "Hugging Face", - "score": -0.10503761614523527, - "first_commit": "2023-11-06 11:33:47", - "latest_commit": "2023-11-06 12:14:36", + "score": -0.11105224442924887, + "first_commit": "2024-05-03 12:16:29", + "latest_commit": "2024-05-04 07:48:41", "languages": [], "model_or_dataset": "model", - "model_size": 69.0 + "model_size": 7.24, + "model_architectures": null }, { - "description": "Dataset Summary This is the Business Scene Dialogue (BSD) dataset, a Japanese-English parallel corpus containing written conversations in various business scenarios.", - "url": "https://huggingface.co./datasets/ryo0634/bsd_ja_en", - "project_name": "bsd_ja_en", - "downloads": 219, + "description": "range3/wiki40b-ja This dataset consists of three parquet files from the wiki40b dataset with only Japanese data extracted.", + "url": "https://huggingface.co./datasets/range3/wiki40b-ja", + "project_name": "wiki40b-ja", + "downloads": 216, "source": "Hugging Face", - 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"model_size": 123.0 + "model_size": 96.2, + "model_architectures": null }, { - "description": "概要 このモデルはllama3.1-8B-instructをもとに日本語性能を高めることを目的にMergekit&ファインチューニングを用いて作成されました。 ", - "url": "https://huggingface.co./DataPilot/Llama3.1-ArrowSE-v0.4", - "project_name": "Llama3.1-ArrowSE-v0.4", - "downloads": 214, + "description": "SakanaAI-EvoLLM-JP-A-v1-7B-gguf SakanaAIさんが公開しているEvoLLM-JP-A-v1-7Bのggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/SakanaAI-EvoLLM-JP-A-v1-7B-gguf", + "project_name": "SakanaAI-EvoLLM-JP-A-v1-7B-gguf", + "downloads": 212, "source": "Hugging Face", - "score": -0.10511286495474223, - "first_commit": "2024-07-24 07:37:16", - "latest_commit": "2024-07-24 12:00:46", + "score": -0.11111508985602574, + "first_commit": "2024-03-21 13:25:41", + "latest_commit": "2024-03-21 14:48:28", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": 7.24, + "model_architectures": null }, { - "description": "llm-japanese-dataset LLM構築用の日本語インストラクション(チャット)データセット 主に，英語で構築されたLLMモデルなどに対して，チャット(Instruction)応答タスクに関してLoRAなどでチューニングするために使用できます． ", - "url": "https://huggingface.co./datasets/izumi-lab/llm-japanese-dataset", - "project_name": "llm-japanese-dataset", - "downloads": 212, + "description": "ArrowPro-7B-KillerWhale-gguf DataPilotさんが公開しているArrowPro-7B-KillerWhaleのggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/ArrowPro-7B-KillerWhale-gguf", + "project_name": "ArrowPro-7B-KillerWhale-gguf", + "downloads": 211, "source": "Hugging Face", - "score": -0.10514296447854501, - "first_commit": "2023-04-30 06:13:24", - "latest_commit": "2024-01-18 13:42:50", + "score": -0.11113080121271995, + "first_commit": "2024-05-29 15:06:55", + "latest_commit": "2024-05-29 15:53:17", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": 7.24, + "model_architectures": null }, { "description": "Rakuda - Questions for Japanese models Repository:", @@ -7076,415 +7401,435 @@ "project_name": "rakuda-questions", "downloads": 211, "source": "Hugging Face", - "score": -0.1051580142404464, + "score": -0.11113080121271995, "first_commit": "2023-06-23 01:08:54", "latest_commit": "2023-06-23 08:01:35", "languages": [], "model_or_dataset": "dataset", - "model_size": null + "model_size": null, + "model_architectures": null }, { - "description": "shisa-7b-v1-gguf augmxntさんが公開しているshisa-7b-v1のggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/shisa-7b-v1-gguf", - "project_name": "shisa-7b-v1-gguf", + "description": "What’s this?", + "url": "https://huggingface.co./globis-university/deberta-v3-japanese-base", + "project_name": "deberta-v3-japanese-base", "downloads": 210, "source": "Hugging Face", - "score": -0.10517306400234781, - "first_commit": "2023-12-09 14:02:20", - "latest_commit": "2023-12-10 12:24:25", + "score": -0.11114651256941417, + "first_commit": "2023-09-21 16:19:31", + "latest_commit": "2024-07-05 05:49:13", "languages": [], "model_or_dataset": "model", - "model_size": 7.96 + "model_size": null, + "model_architectures": "DebertaV2ForTokenClassification" }, { - "description": "SakanaAI-EvoLLM-JP-v1-7B-gguf SakanaAIさんが公開しているEvoLLM-JP-v1-7Bのggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/SakanaAI-EvoLLM-JP-v1-7B-gguf", - "project_name": "SakanaAI-EvoLLM-JP-v1-7B-gguf", - "downloads": 208, + "description": "I'm constantly enhancing these model descriptions to provide you with the most relevant and comprehensive information japanese-stablelm-3b-4e1t-base - GGUF Model creator: stabilityai Original model: japanese-stablelm-3b-4e1t-base StableLM", + "url": "https://huggingface.co./maddes8cht/stabilityai-japanese-stablelm-3b-4e1t-base-gguf", + "project_name": "stabilityai-japanese-stablelm-3b-4e1t-base-gguf", + "downloads": 207, "source": "Hugging Face", - "score": -0.1052031635261506, - "first_commit": "2024-03-21 13:04:25", - "latest_commit": "2024-03-21 14:41:04", + "score": -0.11119364663949682, + "first_commit": "2023-11-16 10:23:21", + "latest_commit": "2023-11-16 11:18:48", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": 2.8, + "model_architectures": null }, { "description": "モデル説明 (model explanation) CoolJapanDiffusion 2.1.1とWaifuDiffusion 1.4 anime epoch2のマージ。", "url": "https://huggingface.co./ThePioneer/CoolerWaifuDiffusion", "project_name": "CoolerWaifuDiffusion", - "downloads": 208, + "downloads": 206, "source": "Hugging Face", - "score": -0.1052031635261506, + "score": -0.11120935799619104, "first_commit": "2023-01-20 23:52:39", "latest_commit": "2023-01-22 19:16:59", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": null }, { - "description": "By clicking \"Agree\", you agree to the License Agreement and acknowledge Stability AI's Privacy Policy.", - "url": "https://huggingface.co./stabilityai/japanese-stablelm-2-base-1_6b", - "project_name": "japanese-stablelm-2-base-1_6b", - "downloads": 207, + "description": "DeBERTa V2 base Japanese This is a DeBERTaV2 model pretrained on Japanese texts.", + "url": "https://huggingface.co./izumi-lab/deberta-v2-base-japanese", + "project_name": "deberta-v2-base-japanese", + "downloads": 206, "source": "Hugging Face", - "score": -0.10521821328805199, - "first_commit": null, - "latest_commit": null, + "score": -0.11120935799619104, + "first_commit": "2023-10-21 13:24:11", + "latest_commit": "2024-07-19 03:07:57", "languages": [], "model_or_dataset": "model", - "model_size": 1.64 + "model_size": null, + "model_architectures": "DebertaV2ForMaskedLM" }, { - "description": "Ninja-v1-RP-expressive-GGUF 概要 Aratako/Ninja-v1-RP-expressiveの量子化済みGGUF版です。", - "url": "https://huggingface.co./Aratako/Ninja-v1-RP-expressive-GGUF", - "project_name": "Ninja-v1-RP-expressive-GGUF", - "downloads": 202, + "description": "Places in japan.", + "url": "https://huggingface.co./datasets/JapanDegitalMaterial/Places_in_Japan", + "project_name": "Places_in_Japan", + "downloads": 203, "source": "Hugging Face", - "score": -0.10529346209755895, - "first_commit": "2024-05-21 12:16:42", - "latest_commit": "2024-05-24 15:11:25", + "score": -0.1112564920662737, + "first_commit": "2023-09-23 12:35:06", + "latest_commit": "2023-09-23 14:00:16", "languages": [], - "model_or_dataset": "model", - "model_size": 7.24 + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null }, { - "description": "Japanese Laws This dataset comprises 8.75K law records retrieved from the official Japanese government website e-Gov. ", - "url": "https://huggingface.co./datasets/y2lan/japan-law", - "project_name": "japan-law", + "description": "このモデルはdeberta-v2-base-japaneseをファインチューニングしてQAタスクに用いれるようにしたものです。 ", + "url": "https://huggingface.co./Mizuiro-sakura/deberta-v2-base-japanese-finetuned-QAe", + "project_name": "deberta-v2-base-japanese-finetuned-QAe", "downloads": 201, "source": "Hugging Face", - "score": -0.10530851185946034, - "first_commit": "2023-07-20 06:26:25", - "latest_commit": "2023-07-20 06:45:14", + "score": -0.11128791477966211, + "first_commit": "2023-01-09 11:59:13", + "latest_commit": "2023-03-27 02:43:35", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": 0.112, + "model_architectures": "DebertaV2ForQuestionAnswering" }, { - "description": "記事本文からタイトルを生成するモデル SEE: https://qiita.com/sonoisa/items/a9af64ff641f0bbfed44", - "url": "https://huggingface.co./sonoisa/t5-base-japanese-title-generation", - "project_name": "t5-base-japanese-title-generation", + "description": "rinna-llama-3-youko-70b-instruct-gguf rinnaさんが公開しているllama-3-youko-70b-instructのggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/rinna-llama-3-youko-70b-instruct-gguf", + "project_name": "rinna-llama-3-youko-70b-instruct-gguf", "downloads": 199, "source": "Hugging Face", - "score": -0.10533861138326313, - "first_commit": "2021-04-04 06:57:18", - "latest_commit": "2022-02-21 13:38:09", + "score": -0.11131933749305055, + "first_commit": "2024-07-27 09:04:09", + "latest_commit": "2024-07-31 14:35:52", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 70.6, + "model_architectures": null }, { - "description": "QuantFactory/shisa-7b-v1-GGUF This is quantized version of augmxnt/shisa-base-7b-v1 created using llama.cpp Model Description shisa-base-7b-v1 takes Mistral 7B and adds an additional 8B tokens of primarily Japanese pre-training.", - "url": "https://huggingface.co./QuantFactory/shisa-7b-v1-GGUF", - "project_name": "shisa-7b-v1-GGUF", - "downloads": 195, + "description": "Mistral-7B-Instruct-v0.3-gguf mistralaiさんが公開しているMistral-7B-Instruct-v0.3のggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/Mistral-7B-Instruct-v0.3-gguf", + "project_name": "Mistral-7B-Instruct-v0.3-gguf", + "downloads": 198, "source": "Hugging Face", - "score": -0.1053988104308687, - "first_commit": "2024-06-14 01:44:05", - "latest_commit": "2024-06-18 05:53:41", + "score": -0.11133504884974477, + "first_commit": "2024-05-23 14:44:25", + "latest_commit": "2024-05-23 15:58:46", + "languages": [], + "model_or_dataset": "model", + "model_size": 7.25, + "model_architectures": null + }, + { + "description": "Sakura_dataset 商用利用可能な超小規模高品質日本語データセット。 ", + "url": "https://huggingface.co./datasets/saldra/sakura_japanese_dataset", + "project_name": "sakura_japanese_dataset", + "downloads": 198, + "source": "Hugging Face", + "score": -0.11133504884974477, + "first_commit": "2023-06-07 05:44:23", + "latest_commit": "2023-06-08 11:31:06", + "languages": [], + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null + }, + { + "description": "SakanaAI-EvoLLM-JP-v1-7B-gguf SakanaAIさんが公開しているEvoLLM-JP-v1-7Bのggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/SakanaAI-EvoLLM-JP-v1-7B-gguf", + "project_name": "SakanaAI-EvoLLM-JP-v1-7B-gguf", + "downloads": 197, + "source": "Hugging Face", + "score": -0.11135076020643898, + "first_commit": "2024-03-21 13:04:25", + "latest_commit": "2024-03-21 14:41:04", "languages": [], "model_or_dataset": "model", - "model_size": 7.96 + "model_size": 7.24, + "model_architectures": null }, { "description": "Additional pretrained BERT base Japanese finance This is a BERT model pretrained on texts in the Japanese language.", "url": "https://huggingface.co./izumi-lab/bert-base-japanese-fin-additional", "project_name": "bert-base-japanese-fin-additional", - "downloads": 195, + "downloads": 193, "source": "Hugging Face", - "score": -0.1053988104308687, + "score": -0.11141360563321585, "first_commit": "2022-03-11 17:41:11", "latest_commit": "2022-12-09 00:40:25", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "BertForPreTraining" }, { - "description": "Anime with caption CC-0 dataset このデータセットはイラストに対する日本語キャプションを 倫理的に学習しやすくするためのデータセットです。 ", - "url": "https://huggingface.co./datasets/alfredplpl/anime-with-caption-cc0", - "project_name": "anime-with-caption-cc0", + "description": "Hibiki ASR Phonemizer This model is a Phoneme Level Speech Recognition network, originally a fine-tuned version of openai/whisper-large-v3 on a mixture of Different Japanese datasets.", + "url": "https://huggingface.co./Respair/Hibiki_ASR_Phonemizer_v0.2", + "project_name": "Hibiki_ASR_Phonemizer_v0.2", "downloads": 193, "source": "Hugging Face", - "score": -0.10542890995467148, - "first_commit": "2024-06-03 04:37:13", - "latest_commit": "2024-06-03 05:49:20", + "score": -0.11141360563321585, + "first_commit": "2024-08-12 01:30:08", + "latest_commit": "2024-08-19 18:13:01", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": 1.54, + "model_architectures": "WhisperForConditionalGeneration" }, { - "description": "Model Card for Tanrei/GPTSAN-japanese General-purpose Swich transformer based Japanese language model GPTSAN has some unique features.", - "url": "https://huggingface.co./Tanrei/GPTSAN-japanese", - "project_name": "GPTSAN-japanese", + "description": "Llama3ベースの日本語医療LLM MedLlama3-JP このモデルはLlama3の継続学習により作成された４種類のLLMから成るマージモデルです。 ", + "url": "https://huggingface.co./EQUES/MedLLama3-JP-v2", + "project_name": "MedLLama3-JP-v2", "downloads": 192, "source": "Hugging Face", - "score": -0.10544395971657287, - "first_commit": "2023-01-06 05:41:12", - "latest_commit": "2023-04-21 19:04:49", + "score": -0.11142931698991007, + "first_commit": "2024-07-01 13:42:17", + "latest_commit": "2024-07-13 06:12:43", "languages": [], "model_or_dataset": "model", - "model_size": 2.78 + "model_size": 8.03, + "model_architectures": "LlamaForCausalLM" }, { - "description": "JA-VG-VQA-500 Dataset Description JA-VG-VQA-500 is a 500-sample subset of Japanese Visual Genome VQA dataset.", - "url": "https://huggingface.co./datasets/SakanaAI/JA-VG-VQA-500", - "project_name": "JA-VG-VQA-500", - "downloads": 192, + "description": "Qwen1.5-110B-Chat-gguf Qwenさんが公開しているQwen1.5-110B-Chatのggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/Qwen1.5-110B-Chat-gguf", + "project_name": "Qwen1.5-110B-Chat-gguf", + "downloads": 190, "source": "Hugging Face", - "score": -0.10544395971657287, - "first_commit": "2024-03-21 09:51:10", - "latest_commit": "2024-05-14 04:11:31", + "score": -0.1114607397032985, + "first_commit": "2024-04-27 19:35:48", + "latest_commit": "2024-04-28 08:09:17", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": 111.0, + "model_architectures": null }, { - "description": "モデルの説明(English explanation is below.", - "url": "https://huggingface.co./keitokei1994/Llama-3-ELYZA-sqlcoder-2x8B-GGUF", - "project_name": "Llama-3-ELYZA-sqlcoder-2x8B-GGUF", + "description": "ELYZA-japanese-CodeLlama-7b-gguf ELYZAさんが公開し��いるELYZA-japanese-CodeLlama-7b-instructのggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/ELYZA-japanese-CodeLlama-7b-gguf", + "project_name": "ELYZA-japanese-CodeLlama-7b-gguf", "downloads": 190, "source": "Hugging Face", - "score": -0.10547405924037566, - "first_commit": "2024-06-28 01:51:50", - "latest_commit": "2024-06-28 05:56:23", + "score": -0.1114607397032985, + "first_commit": "2023-11-15 09:53:42", + "latest_commit": "2023-11-16 14:28:03", "languages": [], "model_or_dataset": "model", - "model_size": 13.7 + "model_size": 6.74, + "model_architectures": null }, { - "description": "DataPilot様の ArrowPro-7B-KUJIRA をGGUF形式に変換したものです。 ", - "url": "https://huggingface.co./MCZK/ArrowPro-7B-KUJIRA-GGUF", - "project_name": "ArrowPro-7B-KUJIRA-GGUF", - "downloads": 189, + "description": "Wav2Vec2-Large-XLSR-53-Japanese Fine-tuned facebook/wav2vec2-large-xlsr-53 on Japanese using the Common Voice and Japanese speech corpus of Saruwatari-lab, University of Tokyo JSUT.", + "url": "https://huggingface.co./vumichien/wav2vec2-large-xlsr-japanese-hiragana", + "project_name": "wav2vec2-large-xlsr-japanese-hiragana", + "downloads": 182, "source": "Hugging Face", - "score": -0.10548910900227705, - "first_commit": "2024-05-09 13:34:05", - "latest_commit": "2024-05-09 23:32:52", + "score": -0.11158643055685225, + "first_commit": "2021-06-18 07:15:24", + "latest_commit": "2023-02-08 00:36:47", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": 0.316, + "model_architectures": "Wav2Vec2ForCTC" }, { "description": "By clicking \"Agree\", you agree to the License Agreement and acknowledge Stability AI's Privacy Policy.", - "url": "https://huggingface.co./stabilityai/japanese-stable-clip-vit-l-16", - "project_name": "japanese-stable-clip-vit-l-16", - "downloads": 189, + "url": "https://huggingface.co./stabilityai/japanese-stablelm-2-base-1_6b", + "project_name": "japanese-stablelm-2-base-1_6b", + "downloads": 182, "source": "Hugging Face", - "score": -0.10548910900227705, + "score": -0.11158643055685225, "first_commit": null, "latest_commit": null, "languages": [], "model_or_dataset": "model", - "model_size": 0.41400000000000003 - }, - { - "description": "Japanese Anime Speech Dataset 日本語はこちら japanese-anime-speech is an audio-text dataset designed for the training of automatic speech recognition models.", - "url": "https://huggingface.co./datasets/joujiboi/japanese-anime-speech", - "project_name": "japanese-anime-speech", - "downloads": 189, - "source": "Hugging Face", - "score": -0.10548910900227705, - "first_commit": "2023-11-07 13:53:40", - "latest_commit": "2024-06-30 10:06:34", - "languages": [], - "model_or_dataset": "dataset", - "model_size": null - }, - { - "description": "Local-Novel-LLM-project様の Assistance をGGUF形式に変換したものです。 ", - "url": "https://huggingface.co./MCZK/Assistance-7B-GGUF", - "project_name": "Assistance-7B-GGUF", - "downloads": 187, - "source": "Hugging Face", - "score": -0.10551920852607984, - "first_commit": "2024-05-03 12:16:29", - "latest_commit": "2024-05-04 07:48:41", - "languages": [], - "model_or_dataset": "model", - "model_size": 7.24 - }, - { - "description": "QuantFactory/shisa-gamma-7b-v1-GGUF", - 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"score": -0.10556435781178401, - "first_commit": "2023-04-26 08:26:49", - "latest_commit": "2023-05-10 10:01:29", - "languages": [], - "model_or_dataset": "model", - "model_size": null + "description": "Japanese Morphological Analysis written in Rust", + "url": "https://github.com/Leko/goya", + "project_name": "goya", + "stargazers_count": 77, + "source": "GitHub", + "score": -0.11160936093713796, + "first_commit": "2021-09-08 19:51:11", + "latest_commit": "2021-12-30 19:44:15", + "languages": [ + "Rust", + "JavaScript", + "TypeScript" + ], + "model_or_dataset": null }, { - "description": "range3/wiki40b-ja This dataset consists of three parquet files from the wiki40b dataset with only Japanese data extracted.", - "url": "https://huggingface.co./datasets/range3/wiki40b-ja", - "project_name": "wiki40b-ja", - "downloads": 184, - "source": "Hugging Face", - "score": -0.10556435781178401, - "first_commit": "2023-02-04 04:54:17", - "latest_commit": "2023-02-04 05:44:21", - "languages": [], - 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"url": "https://huggingface.co./Local-Novel-LLM-project/Vecteus-V2-7B", - "project_name": "Vecteus-V2-7B", - "downloads": 177, + "description": "By clicking \"Agree\", you agree to the License Agreement and acknowledge Stability AI's Privacy Policy.", + "url": "https://huggingface.co./stabilityai/japanese-stable-vlm", + "project_name": "japanese-stable-vlm", + "downloads": 175, "source": "Hugging Face", - "score": -0.10566970614509376, - "first_commit": "2024-06-16 03:51:43", - "latest_commit": "2024-07-06 13:39:41", + "score": -0.11169641005371177, + "first_commit": null, + "latest_commit": null, "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": 7.57, + "model_architectures": null }, { - "description": "DeBERTa V2 base Japanese This is a DeBERTaV2 model pretrained on Japanese texts.", - "url": "https://huggingface.co./izumi-lab/deberta-v2-base-japanese", - "project_name": "deberta-v2-base-japanese", - "downloads": 176, + "description": "Japanese Anime Speech Dataset 日本語はこちら japanese-anime-speech is an audio-text dataset designed for the training of automatic speech recognition models.", + "url": "https://huggingface.co./datasets/joujiboi/japanese-anime-speech", + "project_name": "japanese-anime-speech", + "downloads": 175, "source": "Hugging Face", - 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"score": -0.10574495495460072, - "first_commit": "2023-06-03 03:02:08", - "latest_commit": "2023-10-25 15:22:05", + "score": -0.11175925548048864, + "first_commit": "2024-05-01 02:08:01", + "latest_commit": "2024-05-04 04:07:22", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": 7.24, + "model_architectures": "MistralForCausalLM" }, { - "description": "MaziyarPanahi/japanese-stablelm-base-gamma-7b-Mistral-7B-Instruct-v0.1-GGUF Model creator: MaziyarPanahi Original model: MaziyarPanahi/japanese-stablelm-base-gamma-7b-Mistral-7B-Instruct-v0.1 Description MaziyarPanahi/japanese-stablelm-base-gamma-7b-Mistral-7B-Instruct-v0.1-GGUF contains GGUF format model files for MaziyarPanahi/japanese-stablelm-base-gamma-7b-Mistral-7B-Instruct-v0.1.", - "url": "https://huggingface.co./MaziyarPanahi/japanese-stablelm-base-gamma-7b-Mistral-7B-Instruct-v0.1-GGUF", - "project_name": "japanese-stablelm-base-gamma-7b-Mistral-7B-Instruct-v0.1-GGUF", + "description": "Fugaku-LLM利用規約 この利用規約（以下「本規約」といいます）は、富士通株式会社、国立研究開発法人理化学研究所、国立大学法人東京工業大学、国立大学法人東北大学、株式会社サイバーエージェント、国立大学法人東海国立大学機構、及び株式会社Kotoba Technologies Japan (以下「開発者」といいます)による、スーパーコンピュータ「富岳」政策対応枠における大規模言語モデル分散並列学習手法の開発の成果物として公開する大規模言語モデル（以下「Fugaku-LLM」といいます）の利用に関する条件を定めるものです。", + "url": "https://huggingface.co./Fugaku-LLM/Fugaku-LLM-13B", + "project_name": "Fugaku-LLM-13B", "downloads": 170, "source": "Hugging Face", - "score": -0.1057750544784035, - "first_commit": "2024-01-28 16:13:26", - "latest_commit": "2024-01-28 16:24:30", + "score": -0.11177496683718285, + "first_commit": null, + "latest_commit": null, + "languages": [], + "model_or_dataset": "model", + "model_size": null, + "model_architectures": null + }, + { + "description": "Japanese-WizardLM2-ChatV-7B-GGUF GGUF conversion of \"Japanese-WizardLM2-ChatV-7B\" This model, Japanese-WizardLM2-ChatV-7B, is based on \"chatntq-ja-7b-v1.0 \", and was created by subtracting \"Mistral-7B-v0.1\" from \"WizardLM-2-7b\" ChatVector was added by a factor of 1.0.", + "url": "https://huggingface.co./umiyuki/Japanese-WizardLM2-ChatV-7B-GGUF", + "project_name": "Japanese-WizardLM2-ChatV-7B-GGUF", + "downloads": 169, + "source": "Hugging Face", + "score": -0.11179067819387707, + "first_commit": "2024-04-16 14:45:30", + "latest_commit": "2024-04-17 01:41:16", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": 7.24, + "model_architectures": null }, { "description": "Manga OCR Optical character recognition for Japanese text, with the main focus being Japanese manga.", @@ -7492,2976 +7837,3037 @@ "project_name": "manga-ocr", "downloads": 168, "source": "Hugging Face", - "score": -0.10580515400220629, + "score": -0.11180638955057129, "first_commit": "2022-01-15 17:39:06", "latest_commit": "2022-02-10 07:50:15", "languages": [], "model_or_dataset": "model", - "model_size": null - }, - { - "description": "Llama3ベースの日本語医療LLM MedLlama3-JP このモデルはLlama3の継続学習により作成された４種類のLLMから成るマージモデルです。 ", - "url": "https://huggingface.co./EQUES/MedLLama3-JP-v2", - "project_name": "MedLLama3-JP-v2", - "downloads": 167, - "source": "Hugging Face", - "score": -0.10582020376410768, - "first_commit": "2024-07-01 13:42:17", - "latest_commit": "2024-07-13 06:12:43", - "languages": [], - "model_or_dataset": "model", - "model_size": 8.03 + "model_size": null, + "model_architectures": "VisionEncoderDecoderModel" }, { - "description": "Local-Novel-LLM-project様の Vecteus-V2-7B をGGUF形式に変換したものです。 ", - "url": "https://huggingface.co./MCZK/Vecteus-V2-7B-GGUF", - "project_name": "Vecteus-V2-7B-GGUF", + "description": "QuantFactory/llama-3-youko-8b-GGUF", + "url": "https://huggingface.co./QuantFactory/llama-3-youko-8b-GGUF", + "project_name": "llama-3-youko-8b-GGUF", "downloads": 166, "source": "Hugging Face", - "score": -0.10583525352600907, - "first_commit": "2024-06-16 05:26:00", - "latest_commit": "2024-06-16 11:32:15", + "score": -0.11183781226395972, + "first_commit": "2024-06-24 05:04:12", + "latest_commit": "2024-06-24 06:35:40", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": null, + "model_architectures": null }, { - "description": "Kotoba-Speech-v0.1 Kotoba-Speech v0.1 is a 1.2B Transformer-based speech generative model.", - "url": "https://huggingface.co./kotoba-tech/kotoba-speech-v0.1", - "project_name": "kotoba-speech-v0.1", + "description": "Ninja-v1-RP-expressive-GGUF 概要 Aratako/Oumuamua-7b-RPの量子化済みGGUF版です。", + "url": "https://huggingface.co./Aratako/Oumuamua-7b-RP-GGUF", + "project_name": "Oumuamua-7b-RP-GGUF", "downloads": 165, "source": "Hugging Face", - "score": -0.10585030328791047, - "first_commit": "2024-03-14 01:21:58", - "latest_commit": "2024-04-17 07:54:48", - "languages": [], - "model_or_dataset": "model", - "model_size": null - }, - { - "description": "Japanese-WizardLM2-ChatV-7B-GGUF GGUF conversion of \"Japanese-WizardLM2-ChatV-7B\" This model, Japanese-WizardLM2-ChatV-7B, is based on \"chatntq-ja-7b-v1.0 \", and was created by subtracting \"Mistral-7B-v0.1\" from \"WizardLM-2-7b\" ChatVector was added by a factor of 1.0.", - "url": "https://huggingface.co./umiyuki/Japanese-WizardLM2-ChatV-7B-GGUF", - "project_name": "Japanese-WizardLM2-ChatV-7B-GGUF", - "downloads": 161, - "source": "Hugging Face", - "score": -0.10591050233551604, - "first_commit": "2024-04-16 14:45:30", - "latest_commit": "2024-04-17 01:41:16", - "languages": [], - "model_or_dataset": "model", - "model_size": 7.24 - }, - { - "description": "By clicking \"Agree\", you agree to the License Agreement and acknowledge Stability AI's Privacy Policy.", - "url": "https://huggingface.co./stabilityai/japanese-stable-vlm", - "project_name": "japanese-stable-vlm", - "downloads": 155, - "source": "Hugging Face", - "score": -0.10600080090692439, - "first_commit": null, - "latest_commit": null, + "score": -0.11185352362065394, + "first_commit": "2024-06-23 13:00:02", + "latest_commit": "2024-06-23 14:45:14", "languages": [], "model_or_dataset": "model", - "model_size": 7.57 + "model_size": 7.33, + "model_architectures": null }, { - "description": "MaziyarPanahi/japanese-stablelm-instruct-gamma-7b-Mistral-7B-Instruct-v0.1-GGUF Model creator: MaziyarPanahi Original model: MaziyarPanahi/japanese-stablelm-instruct-gamma-7b-Mistral-7B-Instruct-v0.1 Description MaziyarPanahi/japanese-stablelm-instruct-gamma-7b-Mistral-7B-Instruct-v0.1-GGUF contains GGUF format model files for MaziyarPanahi/japanese-stablelm-instruct-gamma-7b-Mistral-7B-Instruct-v0.1.", - "url": "https://huggingface.co./MaziyarPanahi/japanese-stablelm-instruct-gamma-7b-Mistral-7B-Instruct-v0.1-GGUF", - "project_name": "japanese-stablelm-instruct-gamma-7b-Mistral-7B-Instruct-v0.1-GGUF", - "downloads": 155, + "description": "Tanuki-8B-dpo-v1.0-GGUF 概要 GENIAC 松尾研 LLM開発プロジェクトで開発されたLLMであるweblab-GENIAC/Tanuki-8B-dpo-v1.0-4kのGGUF量子化モデルです。", + "url": "https://huggingface.co./team-hatakeyama-phase2/Tanuki-8B-dpo-v1.0-4k-GGUF", + "project_name": "Tanuki-8B-dpo-v1.0-4k-GGUF", + "downloads": 163, "source": "Hugging Face", - "score": -0.10600080090692439, - "first_commit": "2024-01-26 06:13:55", - "latest_commit": "2024-01-26 06:36:22", + "score": -0.11188494633404238, + "first_commit": "2024-08-16 12:39:31", + "latest_commit": "2024-08-27 18:05:25", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": 7.51, + "model_architectures": null }, { - "description": "What’s this?", - "url": "https://huggingface.co./globis-university/deberta-v3-japanese-base", - "project_name": "deberta-v3-japanese-base", - "downloads": 153, + "description": "shisa-7b-v1-gguf augmxntさんが公開しているshisa-7b-v1のggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/shisa-7b-v1-gguf", + "project_name": "shisa-7b-v1-gguf", + "downloads": 162, "source": "Hugging Face", - "score": -0.10603090043072717, - "first_commit": "2023-09-21 16:19:31", - "latest_commit": "2024-07-05 05:49:13", + "score": -0.1119006576907366, + "first_commit": "2023-12-09 14:02:20", + "latest_commit": "2023-12-10 12:24:25", "languages": [], "model_or_dataset": "model", - "model_size": null - }, - { - "description": "oasst2-33k-ja This repository provides an instruction tuning dataset developed by LLM-jp, a collaborative project launched in Japan.", - "url": "https://huggingface.co./datasets/llm-jp/oasst2-33k-ja", - "project_name": "oasst2-33k-ja", - "downloads": 151, - "source": "Hugging Face", - "score": -0.10606099995452996, - "first_commit": "2024-04-28 16:24:00", - "latest_commit": "2024-04-28 16:39:03", - "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_size": 7.96, + "model_architectures": null }, { - "description": "モデル概要 AWSのtrn1インスタンスを用いて開発した大喜利言語モデルです。", - "url": "https://huggingface.co./watashiha/watashiha-gpt-6b", - "project_name": "watashiha-gpt-6b", - "downloads": 150, + "description": "I'm constantly enhancing these model descriptions to provide you with the most relevant and comprehensive information japanese-stablelm-3b-4e1t-instruct - GGUF Model creator: stabilityai Original model: japanese-stablelm-3b-4e1t-instruct StableLM", + "url": "https://huggingface.co./maddes8cht/stabilityai-japanese-stablelm-3b-4e1t-instruct-gguf", + "project_name": "stabilityai-japanese-stablelm-3b-4e1t-instruct-gguf", + "downloads": 160, "source": "Hugging Face", - "score": -0.10607604971643135, - "first_commit": "2023-12-28 05:41:38", - "latest_commit": "2024-03-04 05:21:14", + "score": -0.11193208040412503, + "first_commit": "2023-11-16 10:25:20", + "latest_commit": "2023-11-16 12:53:33", "languages": [], "model_or_dataset": "model", - "model_size": 5.83 + "model_size": 2.8, + "model_architectures": null }, { "description": "MobileBERT 日本語事前学習済みモデル爆誕！！ ", "url": "https://huggingface.co./ysakuramoto/mobilebert-ja", "project_name": "mobilebert-ja", - "downloads": 148, + "downloads": 159, "source": "Hugging Face", - "score": -0.10610614924023413, + "score": -0.11194779176081925, "first_commit": "2022-01-23 11:29:39", "latest_commit": "2022-01-24 05:25:31", "languages": [], "model_or_dataset": "model", - "model_size": null - }, - { - "description": "mbpp-ja", - "url": "https://huggingface.co./datasets/llm-jp/mbpp-ja", - "project_name": "mbpp-ja", - "downloads": 147, - "source": "Hugging Face", - "score": -0.10612119900213553, - "first_commit": "2024-04-19 00:26:56", - "latest_commit": "2024-04-20 06:26:51", - "languages": [], - "model_or_dataset": "dataset", - "model_size": null - }, - { - "description": "Local-Novel-LLM-project様の Ninja-V3 をGGUF形式に変換したものです。 ", - "url": "https://huggingface.co./MCZK/Ninja-V3-GGUF", - "project_name": "Ninja-V3-GGUF", - "downloads": 146, - "source": "Hugging Face", - "score": -0.10613624876403692, - "first_commit": "2024-07-03 11:52:04", - "latest_commit": "2024-07-03 16:59:05", - "languages": [], - "model_or_dataset": "model", - "model_size": 7.24 - }, - { - "description": "DataPilot様の ArrowPro-7B-RobinHood をGGUF形式に変換したものです。 ", - "url": "https://huggingface.co./MCZK/ArrowPro-7B-RobinHood-GGUF", - "project_name": "ArrowPro-7B-RobinHood-GGUF", - "downloads": 145, - "source": "Hugging Face", - "score": -0.10615129852593831, - "first_commit": "2024-05-10 12:03:26", - "latest_commit": "2024-05-10 18:14:28", - "languages": [], - "model_or_dataset": "model", - "model_size": 7.24 - }, - { - "description": "line-corporation/japanese-large-lm-3.6b-instruction-sft line-corporationさんが公開しているjapanese-large-lm-3.6b-instruction-sftのgguf変換版です。 ", - "url": "https://huggingface.co./mmnga/line-corp-japanese-large-lm-3.6b-instruction-sft-gguf", - "project_name": "line-corp-japanese-large-lm-3.6b-instruction-sft-gguf", - "downloads": 139, - "source": "Hugging Face", - "score": -0.10624159709734667, - "first_commit": "2023-09-02 18:01:40", - "latest_commit": "2023-09-08 02:52:29", - "languages": [], - "model_or_dataset": "model", - "model_size": 3.71 + "model_size": null, + "model_architectures": null }, { - "description": "Tanuki-ZeRo-gguf kanhatakeyamaさんが公開しているTanuki-ZeRoのggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/Tanuki-ZeRo-gguf", - "project_name": "Tanuki-ZeRo-gguf", - "downloads": 137, + "description": "Japanese-LLaMA-3-8B Japanese-LLaMA-3-8Bは基盤モデル、フルモデルです。 ", + "url": "https://huggingface.co./owner203/japanese-llama-3-8b", + "project_name": "japanese-llama-3-8b", + "downloads": 154, "source": "Hugging Face", - "score": -0.10627169662114945, - "first_commit": "2024-03-30 10:49:02", - "latest_commit": "2024-03-30 17:01:16", + "score": -0.11202634854429032, + "first_commit": "2024-06-05 02:19:05", + "latest_commit": "2024-06-21 06:35:41", "languages": [], "model_or_dataset": "model", - "model_size": 13.1 + "model_size": 8.03, + "model_architectures": "LlamaForCausalLM" }, { - "description": "mathstral-7B-v0.1-gguf mistralaiさんが公開しているmathstral-7B-v0.1のggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/mathstral-7B-v0.1-gguf", - "project_name": "mathstral-7B-v0.1-gguf", - "downloads": 136, + "description": "Kotoba-Speech-v0.1 Kotoba-Speech v0.1 is a 1.2B Transformer-based speech generative model.", + "url": "https://huggingface.co./kotoba-tech/kotoba-speech-v0.1", + "project_name": "kotoba-speech-v0.1", + "downloads": 154, "source": "Hugging Face", - "score": -0.10628674638305084, - "first_commit": "2024-07-17 17:49:56", - "latest_commit": "2024-07-17 18:54:27", + "score": -0.11202634854429032, + "first_commit": "2024-03-14 01:21:58", + "latest_commit": "2024-04-17 07:54:48", "languages": [], "model_or_dataset": "model", - "model_size": 7.25 + "model_size": null, + "model_architectures": null }, { - "description": "WRIME-fine-tuned BERT base Japanese This model is a Japanese BERTBASE fine-tuned on the WRIME dataset.", - "url": "https://huggingface.co./patrickramos/bert-base-japanese-v2-wrime-fine-tune", - "project_name": "bert-base-japanese-v2-wrime-fine-tune", - "downloads": 136, + "description": "GPT-2 small Japanese model This repository contains a GPT2-small model trained on Japanese Wikipedia dataset.", + "url": "https://huggingface.co./colorfulscoop/gpt2-small-ja", + "project_name": "gpt2-small-ja", + "downloads": 153, "source": "Hugging Face", - "score": -0.10628674638305084, - "first_commit": "2022-05-22 09:42:14", - "latest_commit": "2023-03-22 08:11:34", + "score": -0.11204205990098454, + "first_commit": "2021-03-27 02:27:05", + "latest_commit": "2021-09-27 20:50:17", "languages": [], "model_or_dataset": "model", - "model_size": 0.111 + "model_size": null, + "model_architectures": "GPT2LMHeadModel" }, { - "description": "Local-Novel-LLM-project様の Ninja-V2-7B をGGUF形式に変換したものです。 ", - "url": "https://huggingface.co./MCZK/Ninja-V2-7B-GGUF", - "project_name": "Ninja-V2-7B-GGUF", - "downloads": 135, + "description": "Model Card for Japanese DeBERTa V2 large Model description This is a Japanese DeBERTa V2 large model pre-trained on Japanese Wikipedia, the Japanese portion of CC-100, and the Japanese portion of OSCAR.", + "url": "https://huggingface.co./ku-nlp/deberta-v2-large-japanese", + "project_name": "deberta-v2-large-japanese", + "downloads": 152, "source": "Hugging Face", - "score": -0.10630179614495223, - "first_commit": "2024-06-15 16:23:41", - "latest_commit": "2024-06-15 21:25:59", + "score": -0.11205777125767875, + "first_commit": "2023-01-07 07:45:25", + "latest_commit": "2023-05-12 14:10:35", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": 0.373, + "model_architectures": "DebertaV2ForMaskedLM" }, { - "description": "c4ai-command-r-v01-japanese-instruct-GGUF 概要 Aratako/c4ai-command-r-v01-japanese-instructの量子化済みGGUF版です。", - "url": "https://huggingface.co./Aratako/c4ai-command-r-v01-japanese-instruct-GGUF", - "project_name": "c4ai-command-r-v01-japanese-instruct-GGUF", - "downloads": 135, + "description": "GitHub リポジトリ singletongue/wikipedia-utils で公開されているデータセットを利用しています。 ", + "url": "https://huggingface.co./datasets/llm-book/jawiki-sentences", + "project_name": "jawiki-sentences", + "downloads": 151, "source": "Hugging Face", - "score": -0.10630179614495223, - "first_commit": "2024-04-05 17:10:51", - "latest_commit": "2024-04-07 03:19:34", + "score": -0.11207348261437297, + "first_commit": "2023-06-03 03:02:08", + "latest_commit": "2023-10-25 15:22:05", "languages": [], - "model_or_dataset": "model", - "model_size": 35.0 + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null }, { - "description": "umiyuki様の Japanese-Chat-Umievo-itr004-7b をGGUF形式に変換したものです。 ", - "url": "https://huggingface.co./MCZK/Japanese-Chat-Umievo-itr004-7b-GGUF", - "project_name": "Japanese-Chat-Umievo-itr004-7b-GGUF", - "downloads": 133, + "description": "Oumuamua-7b-instruct-GGUF This is quantized version of nitky/Oumuamua-7b-instruct created using llama.cpp Model Description This is a merge of pre-trained language models created using mergekit. ", + "url": "https://huggingface.co./QuantFactory/Oumuamua-7b-instruct-GGUF", + "project_name": "Oumuamua-7b-instruct-GGUF", + "downloads": 149, "source": "Hugging Face", - "score": -0.10633189566875502, - "first_commit": "2024-05-13 16:28:41", - "latest_commit": "2024-05-13 23:33:49", + "score": -0.1121049053277614, + "first_commit": "2024-06-19 08:52:12", + "latest_commit": "2024-06-19 11:40:58", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": 7.33, + "model_architectures": null }, { - "description": "Ninja-v1-RP-GGUF 概要 Aratako/Ninja-v1-RPの量子化済みGGUF版です。", - "url": "https://huggingface.co./Aratako/Ninja-v1-RP-GGUF", - "project_name": "Ninja-v1-RP-GGUF", - "downloads": 130, + "description": "日本語T5 Prefix Language Model", + "url": "https://huggingface.co./sonoisa/t5-base-japanese-adapt", + "project_name": "t5-base-japanese-adapt", + "downloads": 148, "source": "Hugging Face", - "score": -0.1063770449544592, - "first_commit": "2024-05-20 17:08:50", - "latest_commit": "2024-05-24 15:11:08", + "score": -0.11212061668445562, + "first_commit": "2022-08-27 08:51:11", + "latest_commit": "2022-11-05 09:34:10", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": null, + "model_architectures": "T5ForConditionalGeneration" }, { - "description": "GitHub リポジトリ cl-tohoku/quiz-datasets で公開されているデータセットを利用しています。 ", - "url": "https://huggingface.co./datasets/llm-book/aio-retriever", - "project_name": "aio-retriever", - "downloads": 129, + "description": "abc-multiple-choice Dataset abc-multiple-choice は、競技クイズの大会「abc」で使用された4択問題を元に作成された、多肢選択式の質問応答データセットです。 ", + "url": "https://huggingface.co./datasets/tohoku-nlp/abc-multiple-choice", + "project_name": "abc-multiple-choice", + "downloads": 148, "source": "Hugging Face", - "score": -0.10639209471636059, - "first_commit": "2023-07-04 04:53:47", - "latest_commit": "2023-10-25 15:31:08", + "score": -0.11212061668445562, + "first_commit": "2024-03-02 03:58:25", + "latest_commit": "2024-03-12 07:32:13", "languages": [], "model_or_dataset": "dataset", - "model_size": null + "model_size": null, + "model_architectures": null }, { - "description": "Orion-14B 🌐English | 🇨", - "url": "https://huggingface.co./OrionStarAI/Orion-14B-Chat-Int4", - "project_name": "Orion-14B-Chat-Int4", - "downloads": 126, + "description": "概要 このモデルはllama3.1-8B-instructをもとに日本語性能を高めることを目的にMergekit&ファインチューニングを用いて作成されました。 ", + "url": "https://huggingface.co./DataPilot/Llama3.1-ArrowSE-v0.4", + "project_name": "Llama3.1-ArrowSE-v0.4", + "downloads": 147, "source": "Hugging Face", - "score": -0.10643724400206477, - "first_commit": "2024-01-18 09:54:07", - "latest_commit": "2024-03-26 10:04:46", + "score": -0.11213632804114984, + "first_commit": "2024-07-24 07:37:16", + "latest_commit": "2024-07-24 12:00:46", "languages": [], "model_or_dataset": "model", - "model_size": 2.69 + "model_size": 8.03, + "model_architectures": "LlamaForCausalLM" }, { - "description": "What’s this?", - "url": "https://huggingface.co./globis-university/deberta-v3-japanese-large", - "project_name": "deberta-v3-japanese-large", - "downloads": 126, + "description": "DataPilot様の ArrowPro-7B-KUJIRA をGGUF形式に変換したものです。 ", + "url": "https://huggingface.co./MCZK/ArrowPro-7B-KUJIRA-GGUF", + "project_name": "ArrowPro-7B-KUJIRA-GGUF", + "downloads": 147, "source": "Hugging Face", - "score": -0.10643724400206477, - "first_commit": "2023-09-21 16:15:15", - "latest_commit": "2024-07-05 05:50:06", + "score": -0.11213632804114984, + "first_commit": "2024-05-09 13:34:05", + "latest_commit": "2024-05-09 23:32:52", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 7.24, + "model_architectures": null }, { - "description": "更新履歴 2023年5月7日 「oasst1-89k-ja」データセットを追加して対話システムに対応しました。", - "url": "https://huggingface.co./inu-ai/dolly-japanese-gpt-1b", - "project_name": "dolly-japanese-gpt-1b", - "downloads": 124, + "description": "Model Trained Using AutoNLP Problem type: Binary Classification Model ID: 59362 Validation Metrics Loss: 0.13092292845249176 Accuracy: 0.9527127414314258 Precision: 0.9634070704982427 Recall: 0.9842171959602166 AUC: 0.9667289746092403 F1: 0.9737009564152002 Usage You can use cURL to access this model: $ curl -X POST -H \"Authorization: Bearer YOUR_API_KEY\" -H \"Content-Type: application/json\" -d '{\"inputs\": \"I love AutoNLP\"}' https://api-inference.huggingface.co/models/abhishek/autonlp-japanese-sentiment-5936", + "url": "https://huggingface.co./abhishek/autonlp-japanese-sentiment-59362", + "project_name": "autonlp-japanese-sentiment-59362", + "downloads": 147, "source": "Hugging Face", - "score": -0.10646734352586755, - "first_commit": "2023-04-13 22:46:07", - "latest_commit": "2023-08-01 07:55:27", + "score": -0.11213632804114984, + "first_commit": "2021-04-21 11:28:11", + "latest_commit": "2021-05-18 22:55:03", "languages": [], "model_or_dataset": "model", - "model_size": 1.33 + "model_size": null, + "model_architectures": "BertForSequenceClassification" }, { - "description": "ryota39様の Tora-7B-v0.1 をGGUF形式に変換したものです。 ", - "url": "https://huggingface.co./MCZK/Tora-7B-v0.1-GGUF", - "project_name": "Tora-7B-v0.1-GGUF", - "downloads": 123, + "description": "QuantFactory/Llama3-ArrowSE-8B-v0.3-GGUF This is quantized version of DataPilot/Llama3-ArrowSE-8B-v0.3 created using llama.cpp Original Model Card 概要 elyza/Llama-3-ELYZA-JP-8Bを元にchat vectorを用いて改良しAItuberに特化させました。 ", + "url": "https://huggingface.co./QuantFactory/Llama3-ArrowSE-8B-v0.3-GGUF", + "project_name": "Llama3-ArrowSE-8B-v0.3-GGUF", + "downloads": 146, "source": "Hugging Face", - "score": -0.10648239328776894, - "first_commit": "2024-05-07 11:24:35", - "latest_commit": "2024-06-15 03:16:21", + "score": -0.11215203939784406, + "first_commit": "2024-07-28 15:51:47", + "latest_commit": "2024-07-28 16:29:51", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": 8.03, + "model_architectures": null }, { - "description": "275.86Mのmixtralを日本語データセットでpretrainingしたものです sample from transformers import AutoTokenizer, AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained(\"if001/tiny_mixtral_ja\")", - "url": "https://huggingface.co./if001/tiny_mixtral_ja", - "project_name": "tiny_mixtral_ja", - "downloads": 123, + "description": "記事本文からタイトルを生成するモデル SEE: https://qiita.com/sonoisa/items/a9af64ff641f0bbfed44", + "url": "https://huggingface.co./sonoisa/t5-base-japanese-title-generation", + "project_name": "t5-base-japanese-title-generation", + "downloads": 146, "source": "Hugging Face", - "score": -0.10648239328776894, - "first_commit": "2024-01-22 15:02:21", - "latest_commit": "2024-01-23 00:42:05", + "score": -0.11215203939784406, + "first_commit": "2021-04-04 06:57:18", + "latest_commit": "2022-02-21 13:38:09", "languages": [], "model_or_dataset": "model", - "model_size": 0.276 + "model_size": null, + "model_architectures": "T5ForConditionalGeneration" }, { - "description": "abc-multiple-choice Dataset abc-multiple-choice は、競技クイズの大会「abc」で使用された4択問題を元に作成された、多肢選択式の質問応答データセットです。 ", - "url": "https://huggingface.co./datasets/tohoku-nlp/abc-multiple-choice", - "project_name": "abc-multiple-choice", - "downloads": 123, + "description": "オリジナルのサイトと同じものを使用しています。 ", + "url": "https://huggingface.co./datasets/llm-book/llm-jp-eval", + "project_name": "llm-jp-eval", + "downloads": 146, "source": "Hugging Face", - "score": -0.10648239328776894, - "first_commit": "2024-03-02 03:58:25", - "latest_commit": "2024-03-12 07:32:13", + "score": -0.11215203939784406, + "first_commit": "2024-06-19 10:31:57", + "latest_commit": "2024-08-31 12:40:31", "languages": [], "model_or_dataset": "dataset", - "model_size": null + "model_size": null, + "model_architectures": null }, { - "description": "Ninja-v1-RP-expressive-GGUF 概要 Aratako/Oumuamua-7b-RPの量子化済みGGUF版です。", - "url": "https://huggingface.co./Aratako/Oumuamua-7b-RP-GGUF", - "project_name": "Oumuamua-7b-RP-GGUF", - "downloads": 122, + "description": "Fugaku-LLM利用規約 この利用規約（以下「本規約」といいます）は、富士通株式会社、国立研究開発法人理化学研究所、国立大学法人東京工業大学、国立大学法人東北大学、株式会社サイバーエージェント、国立大学法人東海国立大学機構、及び株式会社Kotoba Technologies Japan (以下「開発者」といいます)による、スーパーコンピュータ「富岳」政策対応枠における大規模言語モデル分散並列学習手法の開発の成果物として公開する大規模言語モデル（以下「Fugaku-LLM」といいます）の利用に関する条件を定めるものです。", + "url": "https://huggingface.co./Fugaku-LLM/Fugaku-LLM-13B-instruct", + "project_name": "Fugaku-LLM-13B-instruct", + "downloads": 142, "source": "Hugging Face", - "score": -0.10649744304967033, - "first_commit": "2024-06-23 13:00:02", - "latest_commit": "2024-06-23 14:45:14", + "score": -0.11221488482462093, + "first_commit": null, + "latest_commit": null, "languages": [], "model_or_dataset": "model", - "model_size": 7.33 + "model_size": 13.2, + "model_architectures": null }, { - "description": "deberta-base-japanese-aozora-ud-head Model Description", - "url": "https://huggingface.co./KoichiYasuoka/deberta-base-japanese-aozora-ud-head", - "project_name": "deberta-base-japanese-aozora-ud-head", - 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", + "url": "https://huggingface.co./sonoisa/t5-base-japanese-v1.1", + "project_name": "t5-base-japanese-v1.1", + "downloads": 141, "source": "Hugging Face", - "score": -0.10652754257347312, - "first_commit": "2022-06-15 04:02:27", - "latest_commit": "2023-03-04 20:10:16", + "score": -0.11223059618131515, + "first_commit": "2022-08-12 15:41:28", + "latest_commit": "2022-08-27 09:21:01", "languages": [], "model_or_dataset": "model", - "model_size": null - }, - { - "description": "[github].", - "url": "https://huggingface.co./datasets/fujiki/japanese_alpaca_data", - "project_name": "japanese_alpaca_data", - "downloads": 120, - "source": "Hugging Face", - "score": -0.10652754257347312, - "first_commit": "2023-05-18 07:13:15", - "latest_commit": "2023-05-19 12:54:13", - "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_size": null, + "model_architectures": "T5ForConditionalGeneration" }, { - "description": "whisper-large-v3-japanese-4k-steps This model is a fine-tuned version of openai/whisper-large-v3 on the Common Voice 16.1 dataset.", - "url": "https://huggingface.co./drewschaub/whisper-large-v3-japanese-4k-steps", - "project_name": "whisper-large-v3-japanese-4k-steps", - "downloads": 119, + "description": "DataPilot様の Llama3-ArrowSE-8B-v0.3 をGGUF形式に変換したものです。 ", + "url": "https://huggingface.co./MCZK/Llama3-ArrowSE-8B-v0.3-GGUF", + "project_name": "Llama3-ArrowSE-8B-v0.3-GGUF", + "downloads": 141, "source": "Hugging Face", - "score": -0.10654259233537451, - "first_commit": "2024-02-17 01:01:51", - "latest_commit": "2024-02-18 01:31:35", + "score": -0.11223059618131515, + "first_commit": "2024-07-07 07:53:32", + "latest_commit": "2024-07-07 13:40:26", "languages": [], "model_or_dataset": "model", - "model_size": 1.54 + "model_size": 8.03, + "model_architectures": null }, { - "description": "Model Card for Japanese character-level GPT-2 Medium Model description This is a Japanese character-level GPT-2 Medium (310M parameters) language model pre-trained on Japanese Wikipedia, the Japanese portion of CC-100, and the Japanese portion of OSCAR.", - "url": "https://huggingface.co./ku-nlp/gpt2-medium-japanese-char", - "project_name": "gpt2-medium-japanese-char", - "downloads": 119, + "description": "Japanese Anime Speech Dataset V2 日本語はこちら japanese-anime-speech-v2 is an audio-text dataset designed for training automatic speech recognition models.", + "url": "https://huggingface.co./datasets/joujiboi/japanese-anime-speech-v2", + "project_name": "japanese-anime-speech-v2", + "downloads": 141, "source": "Hugging Face", - "score": -0.10654259233537451, - "first_commit": "2023-05-18 06:29:28", - "latest_commit": "2023-06-08 05:34:26", + "score": -0.11223059618131515, + "first_commit": "2024-06-26 14:18:01", + "latest_commit": "2024-07-24 19:06:51", "languages": [], - "model_or_dataset": "model", - "model_size": 0.335 + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null }, { "description": "Model card for model ID", - "url": "https://huggingface.co./retrieva-jp/t5-large-short", - "project_name": "t5-large-short", - "downloads": 117, + "url": "https://huggingface.co./retrieva-jp/t5-small-long", + "project_name": "t5-small-long", + "downloads": 140, "source": "Hugging Face", - "score": -0.1065726918591773, - "first_commit": "2023-04-26 08:18:58", - "latest_commit": "2023-05-10 10:00:54", + "score": -0.11224630753800936, + "first_commit": "2023-04-26 08:26:49", + "latest_commit": "2023-05-10 10:01:29", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "T5ForConditionalGeneration" }, { - "description": "lightblue-Karasu-Mixtral-8x22B-v0.1-gguf lightblueさんが公開しているKarasu-Mixtral-8x22B-v0.1のggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/lightblue-Karasu-Mixtral-8x22B-v0.1-gguf", - "project_name": "lightblue-Karasu-Mixtral-8x22B-v0.1-gguf", - "downloads": 115, + "description": "Deepreneur-blue-lizard-gguf Deepreneurさんが公開しているblue-lizardのggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/Deepreneur-blue-lizard-gguf", + "project_name": "Deepreneur-blue-lizard-gguf", + "downloads": 140, "source": "Hugging Face", - "score": -0.10660279138298008, - "first_commit": "2024-05-07 12:53:56", - "latest_commit": "2024-05-07 18:07:43", + "score": -0.11224630753800936, + "first_commit": "2024-02-13 15:18:15", + "latest_commit": "2024-02-13 16:26:26", "languages": [], "model_or_dataset": "model", - "model_size": 141.0 + "model_size": 6.74, + "model_architectures": null }, { - "description": "Japanese-TextGen-Kage-v0.1-2x7B Kage is \"影\" in Japanese or \"Shadow\" in English.", - "url": "https://huggingface.co./dddump/Japanese-TextGen-Kage-v0.1-2x7B-gguf", - "project_name": "Japanese-TextGen-Kage-v0.1-2x7B-gguf", - "downloads": 114, + "description": "Japanese-Starling-ChatV-7B このモデルは\"chatntq-ja-7b-v1.0\"をベースにした7Bパラメータの日本語チャットモデルです。", + "url": "https://huggingface.co./TFMC/Japanese-Starling-ChatV-7B", + "project_name": "Japanese-Starling-ChatV-7B", + "downloads": 140, "source": "Hugging Face", - "score": -0.10661784114488147, - "first_commit": "2024-05-04 07:03:38", - "latest_commit": "2024-05-19 08:54:19", + "score": -0.11224630753800936, + "first_commit": "2024-04-14 12:18:31", + "latest_commit": "2024-04-14 15:26:06", "languages": [], "model_or_dataset": "model", - "model_size": 12.9 + "model_size": 7.24, + "model_architectures": "MistralForCausalLM" }, { - "description": "Cross-Encoder for Natural Language Inference(NLI) for Japanese Considering the results of the JNLI evaluation result, we recommend using akiFQC/bert-base-japanese-v3_nli-jsnli-jnli-jsick for natural language inference in Japanese.", - "url": "https://huggingface.co./akiFQC/bert-base-japanese-v3_nli-jsnli", - "project_name": "bert-base-japanese-v3_nli-jsnli", - "downloads": 112, + "description": "By clicking \"Agree\", you agree to the License Agreement and acknowledge Stability AI's Privacy Policy.", + "url": "https://huggingface.co./stabilityai/japanese-stable-clip-vit-l-16", + "project_name": "japanese-stable-clip-vit-l-16", + "downloads": 140, "source": "Hugging Face", - "score": -0.10664794066868426, - "first_commit": "2024-04-11 05:38:09", - "latest_commit": "2024-04-26 06:27:05", + "score": -0.11224630753800936, + "first_commit": null, + "latest_commit": null, "languages": [], "model_or_dataset": "model", - "model_size": 0.111 + "model_size": 0.41400000000000003, + "model_architectures": null }, { - "description": "To load a language pair which isn't part of the config, all you need to do is specify the language code as pairs.", - "url": "https://huggingface.co./datasets/Helsinki-NLP/tatoeba", - "project_name": "tatoeba", - "downloads": 112, + "description": "GitHub リポジトリ cl-tohoku/quiz-datasets で公開されているデータセットを利用しています。 ", + "url": "https://huggingface.co./datasets/llm-book/aio-retriever", + "project_name": "aio-retriever", + "downloads": 139, "source": "Hugging Face", - "score": -0.10664794066868426, - "first_commit": null, - "latest_commit": null, + "score": -0.11226201889470358, + "first_commit": "2023-07-04 04:53:47", + "latest_commit": "2023-10-25 15:31:08", "languages": [], "model_or_dataset": "dataset", - "model_size": null + "model_size": null, + "model_architectures": null }, { - "description": "Japanese ELECTRA-small We provide a Japanese ELECTRA-Small model, as described in ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators.", - "url": "https://huggingface.co./cinmodel/electra-small-japanese-discriminator", - "project_name": "electra-small-japanese-discriminator", - "downloads": 110, + "description": "ryota39様の Tora-7B-v0.1 をGGUF形式に変換したものです。 ", + "url": "https://huggingface.co./MCZK/Tora-7B-v0.1-GGUF", + "project_name": "Tora-7B-v0.1-GGUF", + "downloads": 135, "source": "Hugging Face", - "score": -0.10667804019248704, - "first_commit": "2020-11-13 06:49:25", - "latest_commit": "2020-12-11 22:26:13", + "score": -0.11232486432148045, + "first_commit": "2024-05-07 11:24:35", + "latest_commit": "2024-06-15 03:16:21", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 7.24, + "model_architectures": null }, { - "description": "Dataset 5M (5121625) clean Japanese full sentence with the context.", - "url": "https://huggingface.co./datasets/AhmedSSabir/Japanese-wiki-dump-sentence-dataset", - "project_name": "Japanese-wiki-dump-sentence-dataset", - "downloads": 110, + "description": "This dataset is a clarified version of the image, context, and question set included in the Japanese-Heron-Bench for the construction of the Japanese evaluation benchmark suite.", + "url": "https://huggingface.co./datasets/Silviase/Japanese-Heron-Bench", + "project_name": "Japanese-Heron-Bench", + "downloads": 132, "source": "Hugging Face", - "score": -0.10667804019248704, - "first_commit": "2022-06-08 11:34:04", - "latest_commit": "2023-07-11 12:22:09", + "score": -0.1123719983915631, + "first_commit": "2024-07-16 08:12:30", + "latest_commit": "2024-07-28 12:33:15", "languages": [], "model_or_dataset": "dataset", - "model_size": null + "model_size": null, + "model_architectures": null }, { - "description": "ryota39様の Tora-7B-v0.2 をGGUF形式に変換したものです。 ", - "url": "https://huggingface.co./MCZK/Tora-7B-v0.2-GGUF", - "project_name": "Tora-7B-v0.2-GGUF", - "downloads": 109, + "description": "MaziyarPanahi/japanese-stablelm-instruct-gamma-7b-Mistral-7B-Instruct-v0.1-GGUF Model creator: MaziyarPanahi Original model: MaziyarPanahi/japanese-stablelm-instruct-gamma-7b-Mistral-7B-Instruct-v0.1 Description MaziyarPanahi/japanese-stablelm-instruct-gamma-7b-Mistral-7B-Instruct-v0.1-GGUF contains GGUF format model files for MaziyarPanahi/japanese-stablelm-instruct-gamma-7b-Mistral-7B-Instruct-v0.1.", + "url": "https://huggingface.co./MaziyarPanahi/japanese-stablelm-instruct-gamma-7b-Mistral-7B-Instruct-v0.1-GGUF", + "project_name": "japanese-stablelm-instruct-gamma-7b-Mistral-7B-Instruct-v0.1-GGUF", + "downloads": 131, "source": "Hugging Face", - "score": -0.10669308995438843, - "first_commit": "2024-05-06 12:50:49", - "latest_commit": "2024-06-15 03:17:32", + "score": -0.11238770974825732, + "first_commit": "2024-01-26 06:13:55", + "latest_commit": "2024-01-26 06:36:22", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": 7.24, + "model_architectures": null }, { - "description": "AIBunCho/japanese-novel-gpt-j-6b AI BunChoで利用しているモデルです。", - "url": "https://huggingface.co./AIBunCho/japanese-novel-gpt-j-6b", - "project_name": "japanese-novel-gpt-j-6b", - "downloads": 109, + "description": "llm-japanese-dataset LLM構築用の日本語インストラクション(チャット)データセット 主に，英語で構築されたLLMモデルなどに対して，チャット(Instruction)応答タスクに関してLoRAなどでチューニングするために使用できます． ", + "url": "https://huggingface.co./datasets/izumi-lab/llm-japanese-dataset", + "project_name": "llm-japanese-dataset", + "downloads": 131, "source": "Hugging Face", - "score": -0.10669308995438843, - "first_commit": "2023-08-11 00:52:32", - "latest_commit": "2023-08-26 04:20:51", + "score": -0.11238770974825732, + "first_commit": "2023-04-30 06:13:24", + "latest_commit": "2024-01-18 13:42:50", "languages": [], - "model_or_dataset": "model", - "model_size": null + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null }, { - "description": "モデルの説明(English explanation is below.", - "url": "https://huggingface.co./keitokei1994/swallow-3-8B-sqlcoder-2x8B-GGUF", - "project_name": "swallow-3-8B-sqlcoder-2x8B-GGUF", - "downloads": 108, + "description": "QuantFactory/shisa-7b-v1-GGUF This is quantized version of augmxnt/shisa-base-7b-v1 created using llama.cpp Model Description shisa-base-7b-v1 takes Mistral 7B and adds an additional 8B tokens of primarily Japanese pre-training.", + "url": "https://huggingface.co./QuantFactory/shisa-7b-v1-GGUF", + "project_name": "shisa-7b-v1-GGUF", + "downloads": 129, "source": "Hugging Face", - "score": -0.10670813971628983, - "first_commit": "2024-07-03 11:02:45", - "latest_commit": "2024-07-04 07:20:41", + "score": -0.11241913246164575, + "first_commit": "2024-06-14 01:44:05", + "latest_commit": "2024-06-18 05:53:41", "languages": [], "model_or_dataset": "model", - "model_size": 13.7 + "model_size": 7.96, + "model_architectures": null }, { - "description": "Finetuned Waseda RoBERTa to evaluate the generated answers on JTruthfulQA.", - "url": "https://huggingface.co./nlp-waseda/roberta_jtruthfulqa", - "project_name": "roberta_jtruthfulqa", - "downloads": 107, + "description": "Local-Novel-LLM-project様の Ninja-V2-7B をGGUF形式に変換したものです。 ", + "url": "https://huggingface.co./MCZK/Ninja-V2-7B-GGUF", + "project_name": "Ninja-V2-7B-GGUF", + "downloads": 128, "source": "Hugging Face", - "score": -0.10672318947819122, - "first_commit": "2023-12-06 01:33:02", - "latest_commit": "2023-12-06 04:31:12", + "score": -0.11243484381833997, + "first_commit": "2024-06-15 16:23:41", + "latest_commit": "2024-06-15 21:25:59", "languages": [], "model_or_dataset": "model", - "model_size": 0.337 + "model_size": 7.24, + "model_architectures": null }, { - "description": "Japanese stopwords for nagisa", - "url": "https://huggingface.co./datasets/taishi-i/nagisa_stopwords", - "project_name": "nagisa_stopwords", - "downloads": 107, + "description": "databricks-dolly-15k-ja This repository provides an instruction tuning dataset developed by LLM-jp, a collaborative project launched in Japan.", + "url": "https://huggingface.co./datasets/llm-jp/databricks-dolly-15k-ja", + "project_name": "databricks-dolly-15k-ja", + "downloads": 127, "source": "Hugging Face", - "score": -0.10672318947819122, - "first_commit": "2023-08-06 17:10:10", - "latest_commit": "2023-08-07 02:58:31", + "score": -0.11245055517503419, + "first_commit": "2024-01-27 07:11:25", + "latest_commit": "2024-01-30 18:09:37", "languages": [], "model_or_dataset": "dataset", - "model_size": null + "model_size": null, + "model_architectures": null }, { - "description": "doc2query/msmarco-japanese-mt5-base-v1 This is a doc2query model based on mT5 (also known as docT5query).", - "url": "https://huggingface.co./doc2query/msmarco-japanese-mt5-base-v1", - "project_name": "msmarco-japanese-mt5-base-v1", - "downloads": 106, + "description": "Local-Novel-LLM-project様の Vecteus-V2-7B をGGUF形式に変換したものです。 ", + "url": "https://huggingface.co./MCZK/Vecteus-V2-7B-GGUF", + "project_name": "Vecteus-V2-7B-GGUF", + "downloads": 126, "source": "Hugging Face", - "score": -0.10673823924009261, - "first_commit": "2022-04-29 12:05:21", - "latest_commit": "2022-04-29 14:05:37", + "score": -0.1124662665317284, + "first_commit": "2024-06-16 05:26:00", + "latest_commit": "2024-06-16 11:32:15", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 7.24, + "model_architectures": null }, { - "description": "Japanese ELECTRA-small We provide a Japanese ELECTRA-Small model, as described in ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators.", - "url": "https://huggingface.co./cinmodel/electra-small-japanese-generator", - "project_name": "electra-small-japanese-generator", - "downloads": 106, + "description": "Model Card for Japanese character-level GPT-2 Medium Model description This is a Japanese character-level GPT-2 Medium (310M parameters) language model pre-trained on Japanese Wikipedia, the Japanese portion of CC-100, and the Japanese portion of OSCAR.", + "url": "https://huggingface.co./ku-nlp/gpt2-medium-japanese-char", + "project_name": "gpt2-medium-japanese-char", + "downloads": 126, "source": "Hugging Face", - "score": -0.10673823924009261, - "first_commit": "2020-11-13 06:49:52", - "latest_commit": "2020-12-11 22:26:17", + "score": -0.1124662665317284, + "first_commit": "2023-05-18 06:29:28", + "latest_commit": "2023-06-08 05:34:26", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.335, + "model_architectures": "GPT2LMHeadModel" }, { - "description": "Japanese Anime Speech Dataset V2 日本語はこちら japanese-anime-speech-v2 is an audio-text dataset designed for training automatic speech recognition models.", - "url": "https://huggingface.co./datasets/joujiboi/japanese-anime-speech-v2", - "project_name": "japanese-anime-speech-v2", - "downloads": 105, + "description": "MaziyarPanahi/japanese-stablelm-base-gamma-7b-Mistral-7B-Instruct-v0.1-GGUF Model creator: MaziyarPanahi Original model: MaziyarPanahi/japanese-stablelm-base-gamma-7b-Mistral-7B-Instruct-v0.1 Description MaziyarPanahi/japanese-stablelm-base-gamma-7b-Mistral-7B-Instruct-v0.1-GGUF contains GGUF format model files for MaziyarPanahi/japanese-stablelm-base-gamma-7b-Mistral-7B-Instruct-v0.1.", + "url": "https://huggingface.co./MaziyarPanahi/japanese-stablelm-base-gamma-7b-Mistral-7B-Instruct-v0.1-GGUF", + "project_name": "japanese-stablelm-base-gamma-7b-Mistral-7B-Instruct-v0.1-GGUF", + "downloads": 125, "source": "Hugging Face", - "score": -0.106753289001994, - "first_commit": "2024-06-26 14:18:01", - "latest_commit": "2024-07-24 19:06:51", + "score": -0.11248197788842262, + "first_commit": "2024-01-28 16:13:26", + "latest_commit": "2024-01-28 16:24:30", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": 7.24, + "model_architectures": null }, { - "description": "https://huggingface.co./kotoba-tech/kotoba-whisper-v1.1 上記のモデルを訓練し、アダルト用語を認識できるようにしたものです。", - "url": "https://huggingface.co./swdq/Visual-novel-whisper", - "project_name": "Visual-novel-whisper", - "downloads": 104, + "description": "Orion-14B 🌐English | 🇨", + "url": "https://huggingface.co./OrionStarAI/Orion-14B-Chat-RAG", + "project_name": "Orion-14B-Chat-RAG", + "downloads": 124, "source": "Hugging Face", - "score": -0.1067683387638954, - "first_commit": "2024-07-24 10:09:29", - "latest_commit": "2024-07-24 10:29:47", + "score": -0.11249768924511684, + "first_commit": "2024-01-16 12:19:08", + "latest_commit": "2024-03-26 10:08:09", "languages": [], "model_or_dataset": "model", - "model_size": 0.756 + "model_size": null, + "model_architectures": "OrionForCausalLM" }, { - "description": "reazonspeech-espnet-next ReazonSpeech is a project to maintain freely-available Japanese audio datasets and ML models.", - "url": "https://huggingface.co./reazon-research/reazonspeech-espnet-next", - "project_name": "reazonspeech-espnet-next", - "downloads": 104, + "description": "deberta-large-japanese-aozora Model Description", + "url": "https://huggingface.co./KoichiYasuoka/deberta-large-japanese-aozora", + "project_name": "deberta-large-japanese-aozora", + "downloads": 123, "source": "Hugging Face", - "score": -0.1067683387638954, - "first_commit": "2023-03-29 07:20:03", - "latest_commit": "2023-03-29 17:28:01", + "score": -0.11251340060181106, + "first_commit": "2022-05-26 14:46:58", + "latest_commit": "2023-01-14 00:27:22", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "DebertaV2ForMaskedLM" }, { - "description": "ELYZA-japanese-CodeLlama-7b Model Description ELYZA-japanese-CodeLlama-7b は、 Code Llamaをベースとして日本語能力を拡張するために追加事前学習を行ったモデルです。 ", - "url": "https://huggingface.co./elyza/ELYZA-japanese-CodeLlama-7b", - "project_name": "ELYZA-japanese-CodeLlama-7b", - "downloads": 104, + "description": "Model Card for Japanese character-level GPT-2 Small Model description This is a Japanese character-level GPT-2 Small (90M parameters) language model pre-trained on Japanese Wikipedia, the Japanese portion of CC-100, and the Japanese portion of OSCAR.", + "url": "https://huggingface.co./ku-nlp/gpt2-small-japanese-char", + "project_name": "gpt2-small-japanese-char", + "downloads": 120, "source": "Hugging Face", - "score": -0.1067683387638954, - "first_commit": "2023-11-07 12:48:15", - "latest_commit": "2023-11-15 00:38:12", + "score": -0.11256053467189371, + "first_commit": "2023-04-18 08:24:55", + "latest_commit": "2023-05-08 10:08:13", "languages": [], "model_or_dataset": "model", - "model_size": 6.74 + "model_size": 0.10300000000000001, + "model_architectures": "GPT2LMHeadModel" }, { - "description": "Swallow-8Bは追加の日本語継続事前学習により日本語が大変流暢なLlama-3派生モデルです。", - "url": "https://huggingface.co./aixsatoshi/Meta-Llama-3.1-8B-Instruct-plus-Swallow", - "project_name": "Meta-Llama-3.1-8B-Instruct-plus-Swallow", - "downloads": 102, + "description": "whisper-large-v3-japanese-4k-steps This model is a fine-tuned version of openai/whisper-large-v3 on the Common Voice 16.1 dataset.", + "url": "https://huggingface.co./drewschaub/whisper-large-v3-japanese-4k-steps", + "project_name": "whisper-large-v3-japanese-4k-steps", + "downloads": 118, "source": "Hugging Face", - "score": -0.10679843828769818, - "first_commit": "2024-07-24 03:10:38", - "latest_commit": "2024-07-24 04:03:21", + "score": -0.11259195738528215, + "first_commit": "2024-02-17 01:01:51", + "latest_commit": "2024-02-18 01:31:35", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": 1.54, + "model_architectures": "WhisperForConditionalGeneration" }, { - "description": "Llama-3-8B-Instruct-JP-nk2t-v0.2 Model Details: Built with Meta Llama 3", - "url": "https://huggingface.co./nk2t/Llama-3-8B-Instruct-japanese-nk2t-v0.2", - "project_name": "Llama-3-8B-Instruct-japanese-nk2t-v0.2", - "downloads": 100, + "description": "WRIME-fine-tuned BERT base Japanese This model is a Japanese BERTBASE fine-tuned on the WRIME dataset.", + "url": "https://huggingface.co./patrickramos/bert-base-japanese-v2-wrime-fine-tune", + "project_name": "bert-base-japanese-v2-wrime-fine-tune", + "downloads": 118, "source": "Hugging Face", - "score": -0.10682853781150096, - "first_commit": "2024-05-04 04:16:35", - "latest_commit": "2024-05-15 12:56:34", + "score": -0.11259195738528215, + "first_commit": "2022-05-22 09:42:14", + "latest_commit": "2023-03-22 08:11:34", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": 0.111, + "model_architectures": "BertForSequenceClassification" }, { - "description": "Dataset Summary SNOW T15:The simplified corpus for the Japanese language.", - "url": "https://huggingface.co./datasets/SNOW-NLP/snow_simplified_japanese_corpus", - "project_name": "snow_simplified_japanese_corpus", - "downloads": 99, + "description": "モデルの説明(English explanation is below.", + "url": "https://huggingface.co./keitokei1994/Llama-3-ELYZA-sqlcoder-2x8B-GGUF", + "project_name": "Llama-3-ELYZA-sqlcoder-2x8B-GGUF", + "downloads": 117, "source": "Hugging Face", - "score": -0.10684358757340236, - "first_commit": "2022-01-25 16:36:23", - "latest_commit": "2024-01-18 11:16:01", + "score": -0.11260766874197636, + "first_commit": "2024-06-28 01:51:50", + "latest_commit": "2024-06-28 05:56:23", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": 13.7, + "model_architectures": null }, { - "description": "LLM-jp Toxicity Dataset 日本語有害文書データセット「LLM-jp Toxicity Dataset」 See https://gitlab.llm-jp.nii.ac.jp/datasets/llm-jp-toxicity-dataset", - "url": "https://huggingface.co./datasets/p1atdev/LLM-jp-Toxicity-Dataset", - "project_name": "LLM-jp-Toxicity-Dataset", - "downloads": 99, + "description": "[github].", + "url": "https://huggingface.co./datasets/fujiki/japanese_alpaca_data", + "project_name": "japanese_alpaca_data", + "downloads": 117, "source": "Hugging Face", - "score": -0.10684358757340236, - "first_commit": "2024-08-07 07:11:08", - "latest_commit": "2024-08-07 07:21:07", + "score": -0.11260766874197636, + "first_commit": "2023-05-18 07:13:15", + "latest_commit": "2023-05-19 12:54:13", "languages": [], "model_or_dataset": "dataset", - "model_size": null + "model_size": null, + "model_architectures": null }, { - "description": "GGUF conversion of NTQAI/chatntq-ja-7b-v1.0 ChatNTQ-JA-7b-v1.0 is a Japanese chat fine-tuned model built on top of the stabilityai/japanese-stablelm-base-gamma-7b, which is originally based on Mistral 7B v0.1.", - "url": "https://huggingface.co./TFMC/ChatNTQ-JA-7b-v1.0-GGUF", - "project_name": "ChatNTQ-JA-7b-v1.0-GGUF", - "downloads": 98, + "description": "DataPilot様の ArrowPro-7B-RobinHood をGGUF形式に変換したものです。 ", + "url": "https://huggingface.co./MCZK/ArrowPro-7B-RobinHood-GGUF", + "project_name": "ArrowPro-7B-RobinHood-GGUF", + "downloads": 116, "source": "Hugging Face", - "score": -0.10685863733530375, - "first_commit": "2024-04-03 22:42:14", - "latest_commit": "2024-04-04 23:10:54", + "score": -0.11262338009867058, + "first_commit": "2024-05-10 12:03:26", + "latest_commit": "2024-05-10 18:14:28", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": 7.24, + "model_architectures": null }, { - "description": "Wikidata parallel descriptions en-ja Parallel corpus for machine translation generated from wikidata dump (2024-05-06).", - "url": "https://huggingface.co./datasets/Mitsua/wikidata-parallel-descriptions-en-ja", - "project_name": "wikidata-parallel-descriptions-en-ja", - "downloads": 95, + "description": "ryota39様の Tora-7B-v0.2 をGGUF形式に変換したものです。 ", + "url": "https://huggingface.co./MCZK/Tora-7B-v0.2-GGUF", + "project_name": "Tora-7B-v0.2-GGUF", + "downloads": 115, "source": "Hugging Face", - "score": -0.10690378662100794, - "first_commit": "2024-05-13 12:02:43", - "latest_commit": "2024-05-17 00:25:10", + "score": -0.1126390914553648, + "first_commit": "2024-05-06 12:50:49", + "latest_commit": "2024-06-15 03:17:32", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": 7.24, + "model_architectures": null }, { - "description": "alpaca-guanaco-japanese-gpt-1b 1.3Bパラメータの日本語GPTモデルを使用した対話AIです。", - "url": "https://huggingface.co./inu-ai/alpaca-guanaco-japanese-gpt-1b", - "project_name": "alpaca-guanaco-japanese-gpt-1b", - "downloads": 94, + "description": "Japanese stopwords for nagisa", + "url": "https://huggingface.co./datasets/taishi-i/nagisa_stopwords", + "project_name": "nagisa_stopwords", + "downloads": 115, "source": "Hugging Face", - "score": -0.10691883638290933, - "first_commit": "2023-04-12 00:18:29", - "latest_commit": "2023-04-13 10:25:48", + "score": -0.1126390914553648, + "first_commit": "2023-08-06 17:10:10", + "latest_commit": "2023-08-07 02:58:31", "languages": [], - "model_or_dataset": "model", - "model_size": 1.33 + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null }, { - "description": "RoBERTa base Japanese - JaQuAD Description A Japanese Question Answering model fine-tuned on JaQuAD.", - "url": "https://huggingface.co./ybelkada/japanese-roberta-question-answering", - "project_name": "japanese-roberta-question-answering", - "downloads": 94, + "description": "mbpp-ja", + "url": "https://huggingface.co./datasets/llm-jp/mbpp-ja", + "project_name": "mbpp-ja", + "downloads": 115, "source": "Hugging Face", - "score": -0.10691883638290933, - "first_commit": "2022-04-08 08:52:22", - "latest_commit": "2022-04-08 11:38:39", + "score": -0.1126390914553648, + "first_commit": "2024-04-19 00:26:56", + "latest_commit": "2024-04-20 06:26:51", "languages": [], - "model_or_dataset": "model", - "model_size": null + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null }, { - "description": "Model Card for Japanese DeBERTa V2 large Model description This is a Japanese DeBERTa V2 large model pre-trained on Japanese Wikipedia, the Japanese portion of CC-100, and the Japanese portion of OSCAR.", - "url": "https://huggingface.co./ku-nlp/deberta-v2-large-japanese", - "project_name": "deberta-v2-large-japanese", - "downloads": 91, + "description": "275.86Mのmixtralを日本語データセットでpretrainingしたものです sample from transformers import AutoTokenizer, AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained(\"if001/tiny_mixtral_ja\")", + "url": "https://huggingface.co./if001/tiny_mixtral_ja", + "project_name": "tiny_mixtral_ja", + "downloads": 114, "source": "Hugging Face", - "score": -0.10696398566861351, - "first_commit": "2023-01-07 07:45:25", - "latest_commit": "2023-05-12 14:10:35", + "score": -0.112654802812059, + "first_commit": "2024-01-22 15:02:21", + "latest_commit": "2024-01-23 00:42:05", "languages": [], "model_or_dataset": "model", - "model_size": 0.373 + "model_size": 0.276, + "model_architectures": "MixtralForCausalLM" }, { - "description": "Synthetic-JP-Conversations-Magpie-Nemotron-4-10k Magpieの手法をnvidia/Nemotron-4-340B-Instructに対して適用し作成した、約10000件の日本語instruction tuning用データセットです。 ", - "url": "https://huggingface.co./datasets/Aratako/Synthetic-JP-Conversations-Magpie-Nemotron-4-10k", - "project_name": "Synthetic-JP-Conversations-Magpie-Nemotron-4-10k", - "downloads": 91, + "description": "QuantFactory/shisa-gamma-7b-v1-GGUF", + "url": "https://huggingface.co./QuantFactory/shisa-gamma-7b-v1-GGUF", + "project_name": "shisa-gamma-7b-v1-GGUF", + "downloads": 113, "source": "Hugging Face", - "score": -0.10696398566861351, - "first_commit": "2024-07-05 13:53:45", - "latest_commit": "2024-07-05 13:57:08", + "score": -0.11267051416875322, + "first_commit": "2024-06-12 17:16:36", + "latest_commit": "2024-06-18 06:17:30", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": 7.24, + "model_architectures": null }, { - "description": "Dataset Details Dataset Type:Japanese LLaVA Instruct 150K is a localized version of the original LLaVA Visual Instruct 150K dataset.", - "url": "https://huggingface.co./datasets/turing-motors/LLaVA-Instruct-150K-JA", - "project_name": "LLaVA-Instruct-150K-JA", - "downloads": 90, + "description": "更新履歴 2023年5月7日 「oasst1-89k-ja」データセットを追加して対話システムに対応しました。", + "url": "https://huggingface.co./inu-ai/dolly-japanese-gpt-1b", + "project_name": "dolly-japanese-gpt-1b", + "downloads": 111, "source": "Hugging Face", - "score": -0.1069790354305149, - "first_commit": null, - "latest_commit": null, + "score": -0.11270193688214165, + "first_commit": "2023-04-13 22:46:07", + "latest_commit": "2023-08-01 07:55:27", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": 1.33, + "model_architectures": "GPT2LMHeadModel" }, { - "description": "We provide an Amazon product reviews dataset for multilingual text classification.", - "url": "https://huggingface.co./datasets/defunct-datasets/amazon_reviews_multi", - "project_name": "amazon_reviews_multi", - "downloads": 90, + "description": "oasst2-33k-ja This repository provides an instruction tuning dataset developed by LLM-jp, a collaborative project launched in Japan.", + "url": "https://huggingface.co./datasets/llm-jp/oasst2-33k-ja", + "project_name": "oasst2-33k-ja", + "downloads": 111, "source": "Hugging Face", - "score": -0.1069790354305149, - "first_commit": "2022-01-25 16:34:54", - "latest_commit": "2023-11-02 14:52:21", + "score": -0.11270193688214165, + "first_commit": "2024-04-28 16:24:00", + "latest_commit": "2024-04-28 16:39:03", "languages": [], "model_or_dataset": "dataset", - "model_size": null + "model_size": null, + "model_architectures": null }, { - "description": "日本語 gpt2 蒸留モデル このモデルはrinna/japanese-gpt2-meduimを教師として蒸留したものです。 ", - "url": "https://huggingface.co./knok/japanese-distilgpt2", - "project_name": "japanese-distilgpt2", - "downloads": 88, + "description": "Japanese-TextGen-Kage-v0.1-2x7B Kage is \"影\" in Japanese or \"Shadow\" in English.", + "url": "https://huggingface.co./dddump/Japanese-TextGen-Kage-v0.1-2x7B-gguf", + "project_name": "Japanese-TextGen-Kage-v0.1-2x7B-gguf", + "downloads": 110, "source": "Hugging Face", - "score": -0.10700913495431769, - "first_commit": "2022-04-14 09:32:23", - "latest_commit": "2022-04-15 06:00:51", + "score": -0.11271764823883587, + "first_commit": "2024-05-04 07:03:38", + "latest_commit": "2024-05-19 08:54:19", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 12.9, + "model_architectures": null }, { - "description": "Model Card for Japanese character-level GPT-2 Small Model description This is a Japanese character-level GPT-2 Small (90M parameters) language model pre-trained on Japanese Wikipedia, the Japanese portion of CC-100, and the Japanese portion of OSCAR.", - "url": "https://huggingface.co./ku-nlp/gpt2-small-japanese-char", - "project_name": "gpt2-small-japanese-char", - "downloads": 88, + "description": "line-corporation/japanese-large-lm-3.6b-instruction-sft line-corporationさんが公開しているjapanese-large-lm-3.6b-instruction-sftのgguf変換版です。 ", + "url": "https://huggingface.co./mmnga/line-corp-japanese-large-lm-3.6b-instruction-sft-gguf", + "project_name": "line-corp-japanese-large-lm-3.6b-instruction-sft-gguf", + "downloads": 110, "source": "Hugging Face", - "score": -0.10700913495431769, - "first_commit": "2023-04-18 08:24:55", - "latest_commit": "2023-05-08 10:08:13", + "score": -0.11271764823883587, + "first_commit": "2023-09-02 18:01:40", + "latest_commit": "2023-09-08 02:52:29", "languages": [], "model_or_dataset": "model", - "model_size": 0.10300000000000001 + "model_size": 3.71, + "model_architectures": null }, { - "description": "albert-base-japanese-v1-with-japanese 日本語事前学習済みALBERTモデルですこのモデルではTokenizerにBertJapaneseTokenizerクラスを利用していますalbert-base-japanese-v1よりトークナイズ処理が楽になっています How to use ファインチューニング このモデルはPreTrainedモデルです基本的には各種タスク用にファインチューニングして使用されることを想定しています Fill-Mask for PyTorch from transformers import ( AutoModelForMaskedLM, AutoTokenizer ) tokenizer = AutoTokenizer.from_pretrained(\"ken11/albert-base-japanese-v1-with-japanese-tokenizer\")", - "url": "https://huggingface.co./ken11/albert-base-japanese-v1-with-japanese-tokenizer", - "project_name": "albert-base-japanese-v1-with-japanese-tokenizer", - "downloads": 87, + "description": "モデル概要 AWSのtrn1インスタンスを用いて開発した大喜利言語モデルです。", + "url": "https://huggingface.co./watashiha/watashiha-gpt-6b", + "project_name": "watashiha-gpt-6b", + "downloads": 109, "source": "Hugging Face", - "score": -0.10702418471621908, - "first_commit": "2022-04-20 16:34:22", - "latest_commit": "2022-04-21 02:28:13", + "score": -0.11273335959553009, + "first_commit": "2023-12-28 05:41:38", + "latest_commit": "2024-03-04 05:21:14", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 5.83, + "model_architectures": "GPT2LMHeadModel" }, { - "description": "Orion-14B 🌐English | 🇨", - "url": "https://huggingface.co./nold/Orion-14B-Base-GGUF", - "project_name": "Orion-14B-Base-GGUF", - "downloads": 87, + "description": "c4ai-command-r-v01-japanese-instruct-GGUF 概要 Aratako/c4ai-command-r-v01-japanese-instructの量子化済みGGUF版です。", + "url": "https://huggingface.co./Aratako/c4ai-command-r-v01-japanese-instruct-GGUF", + "project_name": "c4ai-command-r-v01-japanese-instruct-GGUF", + "downloads": 109, "source": "Hugging Face", - "score": -0.10702418471621908, - "first_commit": "2024-03-07 14:56:51", - "latest_commit": "2024-03-07 19:33:53", + "score": -0.11273335959553009, + "first_commit": "2024-04-05 17:10:51", + "latest_commit": "2024-04-07 03:19:34", "languages": [], "model_or_dataset": "model", - "model_size": 14.5 + "model_size": 35.0, + "model_architectures": null }, { - "description": "日本語T5事前学習済みモデル This is a T5 (Text-to-Text Transfer Transformer) model pretrained on Japanese corpus. ", - "url": "https://huggingface.co./sonoisa/t5-base-japanese-v1.1", - "project_name": "t5-base-japanese-v1.1", - "downloads": 84, + "description": "[EZO model card]", + "url": "https://huggingface.co./AXCXEPT/EZO-InternVL2-26B", + "project_name": "EZO-InternVL2-26B", + "downloads": 109, "source": "Hugging Face", - "score": -0.10706933400192326, - "first_commit": "2022-08-12 15:41:28", - "latest_commit": "2022-08-27 09:21:01", + "score": -0.11273335959553009, + "first_commit": "2024-08-19 08:03:55", + "latest_commit": "2024-08-23 10:56:47", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 25.5, + "model_architectures": "InternVLChatModel" }, { - "description": "Model card for model ID", - "url": "https://huggingface.co./retrieva-jp/t5-small-medium", - "project_name": "t5-small-medium", - "downloads": 82, + "description": "LLM-jp Toxicity Dataset 日本語有害文書データセット「LLM-jp Toxicity Dataset」 See https://gitlab.llm-jp.nii.ac.jp/datasets/llm-jp-toxicity-dataset", + "url": "https://huggingface.co./datasets/p1atdev/LLM-jp-Toxicity-Dataset", + "project_name": "LLM-jp-Toxicity-Dataset", + "downloads": 109, "source": "Hugging Face", - "score": -0.10709943352572604, - "first_commit": "2023-04-26 08:26:19", - "latest_commit": "2023-05-10 10:01:16", + "score": -0.11273335959553009, + "first_commit": "2024-08-07 07:11:08", + "latest_commit": "2024-08-07 07:21:07", "languages": [], - "model_or_dataset": "model", - "model_size": null + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null }, { - "description": "sonoisa/t5-base-japaneseをファインチューニングして、タイトル生成に用いれるようにしたモデルです。 ", - "url": "https://huggingface.co./Mizuiro-sakura/t5-CAMERA-title-generation", - "project_name": "t5-CAMERA-title-generation", - "downloads": 81, + "description": "AutoWikiQA 東工大が公開しているSwallow-MXを用いて、Wikipedia中のテキストを入力として「質問(query)」と「回答(answer)」を生成し、生成された質問と回答についてフィルタリングを行ったデータセットです。", + "url": "https://huggingface.co./datasets/cl-nagoya/auto-wiki-qa", + "project_name": "auto-wiki-qa", + "downloads": 109, "source": "Hugging Face", - "score": -0.10711448328762743, - "first_commit": "2023-03-21 10:49:27", - "latest_commit": "2023-07-21 14:11:13", + "score": -0.11273335959553009, + "first_commit": "2024-03-28 01:33:42", + "latest_commit": "2024-04-20 12:17:33", "languages": [], - "model_or_dataset": "model", - "model_size": 0.223 + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null }, { - "description": "このモデルはluke-japanese-base-liteをファインチューニングして、Question-Answeringに用いれるようにしたものです。 ", - "url": "https://huggingface.co./Mizuiro-sakura/luke-japanese-base-finetuned-QA", - "project_name": "luke-japanese-base-finetuned-QA", - "downloads": 80, + "description": "Wikidata parallel descriptions en-ja Parallel corpus for machine translation generated from wikidata dump (2024-05-06).", + "url": "https://huggingface.co./datasets/Mitsua/wikidata-parallel-descriptions-en-ja", + "project_name": "wikidata-parallel-descriptions-en-ja", + "downloads": 109, "source": "Hugging Face", - "score": -0.10712953304952882, - "first_commit": "2023-01-15 23:38:30", - "latest_commit": "2023-07-21 14:11:02", + "score": -0.11273335959553009, + "first_commit": "2024-05-13 12:02:43", + "latest_commit": "2024-05-17 00:25:10", "languages": [], - "model_or_dataset": "model", - "model_size": 0.132 + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null }, { - "description": "Japanese-LLaMA-3-8B Japanese-LLaMA-3-8Bは基盤モデル、フルモデルです。 ", - "url": "https://huggingface.co./owner203/japanese-llama-3-8b", - "project_name": "japanese-llama-3-8b", - "downloads": 80, + "description": "Update: 2023/12/25oasst2-135k-jaをチャット形式に変換したoasst2-chat-68k-jaを公開しました。 ", + "url": "https://huggingface.co./datasets/kunishou/oasst2-135k-ja", + "project_name": "oasst2-135k-ja", + "downloads": 108, "source": "Hugging Face", - "score": -0.10712953304952882, - "first_commit": "2024-06-05 02:19:05", - "latest_commit": "2024-06-21 06:35:41", + "score": -0.1127490709522243, + "first_commit": "2023-12-24 22:04:54", + "latest_commit": "2023-12-25 13:23:55", "languages": [], - "model_or_dataset": "model", - "model_size": 8.03 + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null }, { "description": "Orion-14B 🌐English | 🇨", - "url": "https://huggingface.co./OrionStarAI/Orion-14B-Chat-RAG", - "project_name": "Orion-14B-Chat-RAG", - "downloads": 80, + "url": "https://huggingface.co./OrionStarAI/Orion-14B-Chat-Int4", + "project_name": "Orion-14B-Chat-Int4", + "downloads": 107, "source": "Hugging Face", - "score": -0.10712953304952882, - "first_commit": "2024-01-16 12:19:08", - "latest_commit": "2024-03-26 10:08:09", + "score": -0.11276478230891852, + "first_commit": "2024-01-18 09:54:07", + "latest_commit": "2024-03-26 10:04:46", "languages": [], "model_or_dataset": "model", - "model_size": null - }, - { - "description": "Dataset overview This dataset identifies whether a GitHub repository description pertains to Japanese natural language processing (NLP).", - "url": "https://huggingface.co./datasets/taishi-i/awesome-japanese-nlp-classification-dataset", - "project_name": "awesome-japanese-nlp-classification-dataset", - "downloads": 80, - "source": "Hugging Face", - "score": -0.10712953304952882, - "first_commit": "2023-09-09 06:37:36", - "latest_commit": "2023-09-09 20:09:04", - "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_size": 2.69, + "model_architectures": "OrionForCausalLM" }, { - "description": "recruit-jp/japanese-typo-detector-roberta-base モデルの概要 日本語の文章を入力すると各文字ごとに誤字脱字である確率を出力します 各ラベルの意味は以下の通りです id label meaning 0 OK 誤字なし 1 deletion 1文字の抜け 2 insertion_a 余分な1文字の挿入 3 insertion_b 直前の文字列と一致する２文字以上の余分な文字の挿入 4 kanji-conversion_a 同一の読みを持つ漢字の入れ替え（誤変換） 5 kanji-conversion_b 近い読みを持つ漢字の入れ替え（誤変換） 6 substitution 1文字の入れ替え 7 transposition 隣接する２文字間の転置 8 others その他の入力誤り 誤り種類の詳細については学習データセットの元論文をご参照ください 日本語 Wikipedia の編集履歴に基づく 入力誤りデータセットと訂正システムの改良 その他、モデルの詳細については当社ブログ記事をご参照ください 誤字脱字検出モデルをHugging Face Hubに公開しました (Re", - "url": "https://huggingface.co./recruit-jp/japanese-typo-detector-roberta-base", - "project_name": "japanese-typo-detector-roberta-base", - "downloads": 78, + "description": "doc2query/msmarco-japanese-mt5-base-v1 This is a doc2query model based on mT5 (also known as docT5query).", + "url": "https://huggingface.co./doc2query/msmarco-japanese-mt5-base-v1", + "project_name": "msmarco-japanese-mt5-base-v1", + "downloads": 106, "source": "Hugging Face", - "score": -0.10715963257333161, - "first_commit": "2023-11-09 06:27:40", - "latest_commit": "2023-12-21 03:07:31", + "score": -0.11278049366561274, + "first_commit": "2022-04-29 12:05:21", + "latest_commit": "2022-04-29 14:05:37", "languages": [], "model_or_dataset": "model", - "model_size": 0.0996 + "model_size": null, + "model_architectures": "MT5ForConditionalGeneration" }, { - "description": "alabnii/jmedroberta-base-sentencepiece-vocab50000 Model description This is a Japanese RoBERTa base model pre-trained on academic articles in medical sciences collected by Japan Science and Technology Agency (JST).", - "url": "https://huggingface.co./alabnii/jmedroberta-base-sentencepiece-vocab50000", - "project_name": "jmedroberta-base-sentencepiece-vocab50000", - "downloads": 76, + "description": "Tanuki-ZeRo-gguf kanhatakeyamaさんが公開しているTanuki-ZeRoのggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/Tanuki-ZeRo-gguf", + "project_name": "Tanuki-ZeRo-gguf", + "downloads": 104, "source": "Hugging Face", - "score": -0.1071897320971344, - "first_commit": "2022-12-22 17:22:14", - "latest_commit": "2023-06-27 03:44:17", + "score": -0.11281191637900118, + "first_commit": "2024-03-30 10:49:02", + "latest_commit": "2024-03-30 17:01:16", "languages": [], "model_or_dataset": "model", - "model_size": 0.124 + "model_size": 13.1, + "model_architectures": null }, { - "description": "Wikipediaを用いた日本語の固有表現抽出データセット GitHub: https://github.com/stockmarkteam/ner-wikipedia-dataset/ LICENSE: CC-BY-SA 3.0 Developed by Stockmark Inc.", - "url": "https://huggingface.co./datasets/stockmark/ner-wikipedia-dataset", - "project_name": "ner-wikipedia-dataset", - "downloads": 75, + "description": "ELYZA-japanese-CodeLlama-7b Model Description ELYZA-japanese-CodeLlama-7b は、 Code Llamaをベースとして日本語能力を拡張するために追加事前学習を行ったモデルです。 ", + "url": "https://huggingface.co./elyza/ELYZA-japanese-CodeLlama-7b", + "project_name": "ELYZA-japanese-CodeLlama-7b", + "downloads": 104, "source": "Hugging Face", - "score": -0.10720478185903579, - "first_commit": "2023-09-02 14:38:55", - "latest_commit": "2023-09-02 14:42:18", + "score": -0.11281191637900118, + "first_commit": "2023-11-07 12:48:15", + "latest_commit": "2023-11-15 00:38:12", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": 6.74, + "model_architectures": "LlamaForCausalLM" }, { - "description": "Orion-14B 🌐English | 🇨", - "url": "https://huggingface.co./OrionStarAI/Orion-14B-LongChat", - "project_name": "Orion-14B-LongChat", - "downloads": 74, + "description": "AIBunCho/japanese-novel-gpt-j-6b AI BunChoで利用しているモデルです。", + "url": "https://huggingface.co./AIBunCho/japanese-novel-gpt-j-6b", + "project_name": "japanese-novel-gpt-j-6b", + "downloads": 100, "source": "Hugging Face", - "score": -0.10721983162093718, - "first_commit": "2024-01-19 07:15:36", - "latest_commit": "2024-03-26 10:10:34", + "score": -0.11287476180577805, + "first_commit": "2023-08-11 00:52:32", + "latest_commit": "2023-08-26 04:20:51", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "GPTJForCausalLM" }, { - "description": "zenz-v1 zenz-v1はGPT-2アーキテクチャに基づくかな漢字変換タスクに特化した言語モデルです。", - "url": "https://huggingface.co./Miwa-Keita/zenz-v1", - "project_name": "zenz-v1", - "downloads": 74, + "description": "Vecteus-V2-7B このモデルは、ベクトルマージなどを用い作成された高性能ベースモデルです。 ", + "url": "https://huggingface.co./Local-Novel-LLM-project/Vecteus-V2-7B", + "project_name": "Vecteus-V2-7B", + "downloads": 100, "source": "Hugging Face", - "score": -0.10721983162093718, - "first_commit": "2024-05-12 15:48:46", - "latest_commit": "2024-05-13 16:34:02", + "score": -0.11287476180577805, + "first_commit": "2024-06-16 03:51:43", + "latest_commit": "2024-07-06 13:39:41", "languages": [], "model_or_dataset": "model", - "model_size": 0.09509999999999999 + "model_size": 7.24, + "model_architectures": "MistralForCausalLM" }, { - "description": "概要 elyza/Llama-3-ELYZA-JP-8Bを元にchat vectorを用いて改良しAItuberに特化させました。 ", - "url": "https://huggingface.co./DataPilot/Llama3-ArrowSE-8B-v0.3", - "project_name": "Llama3-ArrowSE-8B-v0.3", - "downloads": 74, + "description": "日本語 gpt2 蒸留モデル このモデルはrinna/japanese-gpt2-meduimを教師として蒸留したものです。 ", + "url": "https://huggingface.co./knok/japanese-distilgpt2", + "project_name": "japanese-distilgpt2", + "downloads": 99, "source": "Hugging Face", - "score": -0.10721983162093718, - "first_commit": "2024-07-06 15:39:54", - "latest_commit": "2024-07-07 14:18:02", + "score": -0.11289047316247226, + "first_commit": "2022-04-14 09:32:23", + "latest_commit": "2022-04-15 06:00:51", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": null, + "model_architectures": null }, { - "description": "Llama 3 Youko 70B (rinna/llama-3-youko-70b)", - "url": "https://huggingface.co./rinna/llama-3-youko-70b", - "project_name": "llama-3-youko-70b", - "downloads": 73, + "description": "fio-base-japanese-v0.1 日本語版は近日公開予定です（日本語を勉強中なので、間違いはご容赦ください！", + "url": "https://huggingface.co./bclavie/fio-base-japanese-v0.1", + "project_name": "fio-base-japanese-v0.1", + "downloads": 98, "source": "Hugging Face", - "score": -0.10723488138283857, - "first_commit": "2024-07-21 14:13:34", - "latest_commit": "2024-07-25 05:16:28", + "score": -0.11290618451916648, + "first_commit": "2023-12-18 11:01:07", + "latest_commit": "2023-12-19 10:28:16", "languages": [], "model_or_dataset": "model", - "model_size": 70.6 + "model_size": 0.111, + "model_architectures": "BertModel" }, { - "description": "Umievo-itr012-Gleipnir-7B このモデルは強力な４つの日本語モデルを進化的アルゴリズムで進化的マージしたものです。", - "url": "https://huggingface.co./umiyuki/Umievo-itr012-Gleipnir-7B", - "project_name": "Umievo-itr012-Gleipnir-7B", - "downloads": 71, + "description": "Tanuki-8x8B-dpo-v1.0-GPTQ-4bit 概要 GENIAC 松尾研 LLM開発プロジェクトで開発されたLLMであるweblab-GENIAC/Tanuki-8x8B-dpo-v1.0のGPTQ 4bit量子化モデルです。", + "url": "https://huggingface.co./team-hatakeyama-phase2/Tanuki-8x8B-dpo-v1.0-GPTQ-4bit", + "project_name": "Tanuki-8x8B-dpo-v1.0-GPTQ-4bit", + "downloads": 98, "source": "Hugging Face", - "score": -0.10726498090664136, - "first_commit": "2024-05-29 12:32:29", - "latest_commit": "2024-05-29 13:51:31", + "score": -0.11290618451916648, + "first_commit": "2024-08-27 18:19:13", + "latest_commit": "2024-09-03 09:27:14", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": null, + "model_architectures": "TanukiForCausalLM" }, { - "description": "Heron BLIP Japanese StableLM", - "url": "https://huggingface.co./turing-motors/heron-chat-blip-ja-stablelm-base-7b-v1-llava-620k", - "project_name": "heron-chat-blip-ja-stablelm-base-7b-v1-llava-620k", - "downloads": 70, + "description": "Japanese ELECTRA-small We provide a Japanese ELECTRA-Small model, as described in ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators.", + "url": "https://huggingface.co./cinmodel/electra-small-japanese-discriminator", + "project_name": "electra-small-japanese-discriminator", + "downloads": 97, "source": "Hugging Face", - "score": -0.10728003066854275, - "first_commit": "2024-02-27 13:48:02", - "latest_commit": "2024-02-27 13:59:23", + "score": -0.1129218958758607, + "first_commit": "2020-11-13 06:49:25", + "latest_commit": "2020-12-11 22:26:13", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "ElectraForPreTraining" }, { - "description": "c4ai-command-r-v01-japanese-instruct GGUF版はこちら/Click here for the GGUF version 概要 CohereForAI/c4ai-command-r-v01を、ichikara-instructionを使って追加で日本語インストラクションチューニングを施したモデルです。 ", - "url": "https://huggingface.co./Aratako/c4ai-command-r-v01-japanese-instruct", - "project_name": "c4ai-command-r-v01-japanese-instruct", - "downloads": 69, + "description": "deberta-base-japanese-aozora-ud-head Model Description", + "url": "https://huggingface.co./KoichiYasuoka/deberta-base-japanese-aozora-ud-head", + "project_name": "deberta-base-japanese-aozora-ud-head", + "downloads": 96, "source": "Hugging Face", - "score": -0.10729508043044414, - "first_commit": "2024-04-04 03:56:52", - "latest_commit": "2024-04-07 15:18:37", + "score": -0.11293760723255492, + "first_commit": "2022-06-15 04:02:27", + "latest_commit": "2023-03-04 20:10:16", "languages": [], "model_or_dataset": "model", - "model_size": 35.0 + "model_size": null, + "model_architectures": "DebertaV2ForQuestionAnswering" }, { - "description": "Miwa-Keita/zenz-v1-checkpoints を optimum 用に ONNX に変換したモデルです。", - "url": "https://huggingface.co./p1atdev/zenz-v1-onnx", - "project_name": "zenz-v1-onnx", - "downloads": 69, + "description": "RoBERTa base Japanese - JaQuAD Description A Japanese Question Answering model fine-tuned on JaQuAD.", + "url": "https://huggingface.co./ybelkada/japanese-roberta-question-answering", + "project_name": "japanese-roberta-question-answering", + "downloads": 96, "source": "Hugging Face", - "score": -0.10729508043044414, - "first_commit": "2024-06-29 03:03:03", - "latest_commit": "2024-06-29 03:40:34", + "score": -0.11293760723255492, + "first_commit": "2022-04-08 08:52:22", + "latest_commit": "2022-04-08 11:38:39", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "RobertaForQuestionAnswering" }, { - "description": "Aerner LM-v2 事前学習から全部日本語で学習させたモデルのバージョン2です。 ", - "url": "https://huggingface.co./aerner/lm-v2", - "project_name": "lm-v2", - "downloads": 68, + "description": "Ninja-v1-RP-GGUF 概要 Aratako/Ninja-v1-RPの量子化済みGGUF版です。", + "url": "https://huggingface.co./Aratako/Ninja-v1-RP-GGUF", + "project_name": "Ninja-v1-RP-GGUF", + "downloads": 95, "source": "Hugging Face", - "score": -0.10731013019234553, - "first_commit": "2023-06-09 15:19:12", - "latest_commit": "2023-06-09 16:08:47", + "score": -0.11295331858924913, + "first_commit": "2024-05-20 17:08:50", + "latest_commit": "2024-05-24 15:11:08", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 7.24, + "model_architectures": null }, { - "description": "[EZO model card]", - "url": "https://huggingface.co./AXCXEPT/EZO-InternVL2-26B", - "project_name": "EZO-InternVL2-26B", - "downloads": 68, + "description": "nlp-waseda/roberta-large-japanese Model description This is a Japanese RoBERTa large model pretrained on Japanese Wikipedia and the Japanese portion of CC-100.", + "url": "https://huggingface.co./nlp-waseda/roberta-large-japanese", + "project_name": "roberta-large-japanese", + "downloads": 95, "source": "Hugging Face", - "score": -0.10731013019234553, - "first_commit": "2024-08-19 08:03:55", - "latest_commit": "2024-08-23 10:56:47", + "score": -0.11295331858924913, + "first_commit": "2022-05-10 08:37:48", + "latest_commit": "2022-10-21 14:48:46", "languages": [], "model_or_dataset": "model", - "model_size": 25.5 + "model_size": null, + "model_architectures": "RobertaForMaskedLM" }, { - "description": "このデータセットについて このデータは、日本の官公庁のWebサイトに掲載されている「よくある質問」を手作業で抽出し、インストラクション用のデータセットとしたものです。 ", - "url": "https://huggingface.co./datasets/matsuxr/JaGovFaqs-22k", - "project_name": "JaGovFaqs-22k", - "downloads": 68, + "description": "Japanese ELECTRA-small We provide a Japanese ELECTRA-Small model, as described in ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators.", + "url": "https://huggingface.co./cinmodel/electra-small-japanese-generator", + "project_name": "electra-small-japanese-generator", + "downloads": 94, "source": "Hugging Face", - "score": -0.10731013019234553, - "first_commit": "2023-12-31 13:58:41", - "latest_commit": "2024-02-29 02:51:20", + "score": -0.11296902994594335, + "first_commit": "2020-11-13 06:49:52", + "latest_commit": "2020-12-11 22:26:17", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": null, + "model_architectures": "ElectraForMaskedLM" }, { - "description": "Japanese-LLaMA-2-13B-GGUF Japanese-LLaMA-2-13B-GGUFはJapanese-LLaMA-2-13BのGGUF形式です。 ", - "url": "https://huggingface.co./owner203/japanese-llama-2-13b-gguf", - "project_name": "japanese-llama-2-13b-gguf", - "downloads": 67, + "description": "reazonspeech-espnet-next ReazonSpeech is a project to maintain freely-available Japanese audio datasets and ML models.", + "url": "https://huggingface.co./reazon-research/reazonspeech-espnet-next", + "project_name": "reazonspeech-espnet-next", + "downloads": 94, "source": "Hugging Face", - "score": -0.10732517995424692, - "first_commit": "2023-12-20 05:37:09", - "latest_commit": "2023-12-26 11:45:15", + "score": -0.11296902994594335, + "first_commit": "2023-03-29 07:20:03", + "latest_commit": "2023-03-29 17:28:01", "languages": [], "model_or_dataset": "model", - "model_size": 13.3 + "model_size": null, + "model_architectures": null }, { - "description": "Heron GIT Japanese StableLM", - "url": "https://huggingface.co./turing-motors/heron-chat-git-ja-stablelm-base-7b-v1", - "project_name": "heron-chat-git-ja-stablelm-base-7b-v1", - "downloads": 67, + "description": "Llama-3-8B-Instruct-JP-nk2t-v0.2 Model Details: Built with Meta Llama 3", + "url": "https://huggingface.co./nk2t/Llama-3-8B-Instruct-japanese-nk2t-v0.2", + "project_name": "Llama-3-8B-Instruct-japanese-nk2t-v0.2", + "downloads": 92, "source": "Hugging Face", - "score": -0.10732517995424692, - "first_commit": "2024-03-29 09:09:32", - "latest_commit": "2024-05-02 07:55:57", + "score": -0.11300045265933178, + "first_commit": "2024-05-04 04:16:35", + "latest_commit": "2024-05-15 12:56:34", "languages": [], "model_or_dataset": "model", - "model_size": 7.32 + "model_size": 8.03, + "model_architectures": "LlamaForCausalLM" }, { - "description": "japanese-large-lm-3.6b-instruction-sft-8bit-1g-actorder_True", - "url": "https://huggingface.co./line-corporation/japanese-large-lm-3.6b-instruction-sft-8bit-1g-actorder_True", - "project_name": "japanese-large-lm-3.6b-instruction-sft-8bit-1g-actorder_True", - "downloads": 66, + "description": "Finetuned Waseda RoBERTa to evaluate the generated answers on JTruthfulQA.", + "url": "https://huggingface.co./nlp-waseda/roberta_jtruthfulqa", + "project_name": "roberta_jtruthfulqa", + "downloads": 90, "source": "Hugging Face", - "score": -0.10734022971614832, - "first_commit": "2023-09-26 06:16:23", - "latest_commit": "2023-09-28 00:02:06", + "score": -0.11303187537272022, + "first_commit": "2023-12-06 01:33:02", + "latest_commit": "2023-12-06 04:31:12", "languages": [], "model_or_dataset": "model", - "model_size": 1.17 + "model_size": 0.337, + "model_architectures": "RobertaForSequenceClassification" }, { - "description": "Fine-tuned XLSR-53 large model for speech diarization in Japanese phone-call 2 speakers diarization model which was fine-tuned facebook/wav2vec2-large-xlsr-53 on Japanese using phone-call data CallHome.", - "url": "https://huggingface.co./Ivydata/wav2vec2-large-speech-diarization-jp", - "project_name": "wav2vec2-large-speech-diarization-jp", - "downloads": 64, + "description": "umiyuki様の Japanese-Chat-Umievo-itr004-7b をGGUF形式に変換したものです。 ", + "url": "https://huggingface.co./MCZK/Japanese-Chat-Umievo-itr004-7b-GGUF", + "project_name": "Japanese-Chat-Umievo-itr004-7b-GGUF", + "downloads": 89, "source": "Hugging Face", - "score": -0.1073703292399511, - "first_commit": "2023-05-08 10:10:43", - "latest_commit": "2023-05-10 00:32:23", + "score": -0.11304758672941444, + "first_commit": "2024-05-13 16:28:41", + "latest_commit": "2024-05-13 23:33:49", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 7.24, + "model_architectures": null }, { - "description": "Japanese-LLaMA-2-7B-GGUF Japanese-LLaMA-2-7B-GGUFはJapanese-LLaMA-2-7BのGGUF形式です。 ", - "url": "https://huggingface.co./owner203/japanese-llama-2-7b-gguf", - "project_name": "japanese-llama-2-7b-gguf", - "downloads": 62, + "description": "Local-Novel-LLM-project様の Ninja-V3 をGGUF形式に変換したものです。 ", + "url": "https://huggingface.co./MCZK/Ninja-V3-GGUF", + "project_name": "Ninja-V3-GGUF", + "downloads": 88, "source": "Hugging Face", - "score": -0.10740042876375389, - "first_commit": "2024-01-22 03:00:02", - "latest_commit": "2024-06-05 02:30:01", + "score": -0.11306329808610865, + "first_commit": "2024-07-03 11:52:04", + "latest_commit": "2024-07-03 16:59:05", "languages": [], "model_or_dataset": "model", - "model_size": 6.97 + "model_size": 7.24, + "model_architectures": null }, { - "description": "Japanese-Alpaca-2-13B-GGUF Japanese-Alpaca-2-13B-GGUFはJapanese-Alpaca-2-13BのGGUF形式です。 ", - "url": "https://huggingface.co./owner203/japanese-alpaca-2-13b-gguf", - "project_name": "japanese-alpaca-2-13b-gguf", - "downloads": 62, + "description": "Japanese-LLaMA-3-8B-Instruct-v2 Japanese-LLaMA-3-8B-Instruct-v2は指示実行モデル、フルモデルです。 ", + "url": "https://huggingface.co./owner203/japanese-llama-3-8b-instruct-v2", + "project_name": "japanese-llama-3-8b-instruct-v2", + "downloads": 87, "source": "Hugging Face", - "score": -0.10740042876375389, - "first_commit": "2023-12-20 10:56:08", - "latest_commit": "2023-12-26 11:46:41", + "score": -0.11307900944280287, + "first_commit": "2024-06-10 10:10:19", + "latest_commit": "2024-06-21 06:35:31", "languages": [], "model_or_dataset": "model", - "model_size": 13.3 + "model_size": 8.03, + "model_architectures": "LlamaForCausalLM" }, { - "description": "line-corporation/japanese-large-lm-3.6b line-corporationさんが公開しているjapanese-large-lm-3.6bのgguf変換版です。 ", - "url": "https://huggingface.co./mmnga/line-corp-japanese-large-lm-3.6b-gguf", - "project_name": "line-corp-japanese-large-lm-3.6b-gguf", - "downloads": 61, + "description": "sonoisa/t5-base-japaneseをファインチューニングして、タイトル生成に用いれるようにしたモデルです。 ", + "url": "https://huggingface.co./Mizuiro-sakura/t5-CAMERA-title-generation", + "project_name": "t5-CAMERA-title-generation", + "downloads": 86, "source": "Hugging Face", - "score": -0.10741547852565528, - "first_commit": "2023-09-02 18:18:41", - "latest_commit": "2023-09-08 02:53:05", + "score": -0.11309472079949709, + "first_commit": "2023-03-21 10:49:27", + "latest_commit": "2023-07-21 14:11:13", "languages": [], "model_or_dataset": "model", - "model_size": 3.71 + "model_size": 0.223, + "model_architectures": "T5ForConditionalGeneration" }, { - "description": "range3/cc100-ja This dataset consists of parquet files from the cc100 dataset with only the Japanese language extracted and sharded.", - "url": "https://huggingface.co./datasets/range3/cc100-ja", - "project_name": "cc100-ja", - "downloads": 61, + "description": "lightblue-Karasu-Mixtral-8x22B-v0.1-gguf lightblueさんが公開しているKarasu-Mixtral-8x22B-v0.1のggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/lightblue-Karasu-Mixtral-8x22B-v0.1-gguf", + "project_name": "lightblue-Karasu-Mixtral-8x22B-v0.1-gguf", + "downloads": 85, "source": "Hugging Face", - "score": -0.10741547852565528, - "first_commit": "2023-02-04 05:10:34", - "latest_commit": "2023-02-04 05:43:32", + "score": -0.1131104321561913, + "first_commit": "2024-05-07 12:53:56", + "latest_commit": "2024-05-07 18:07:43", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": 141.0, + "model_architectures": null }, { - "description": "AutoWikiQA 東工大が公開しているSwallow-MXを用いて、Wikipedia中のテキストを入力として「質問(query)」と「回答(answer)」を生成し、生成された質問と回答についてフィルタリングを行ったデータセットです。", - "url": "https://huggingface.co./datasets/cl-nagoya/auto-wiki-qa", - "project_name": "auto-wiki-qa", - "downloads": 61, + "description": "Dataset 5M (5121625) clean Japanese full sentence with the context.", + "url": "https://huggingface.co./datasets/AhmedSSabir/Japanese-wiki-dump-sentence-dataset", + "project_name": "Japanese-wiki-dump-sentence-dataset", + "downloads": 83, "source": "Hugging Face", - "score": -0.10741547852565528, - "first_commit": "2024-03-28 01:33:42", - "latest_commit": "2024-04-20 12:17:33", + "score": -0.11314185486957974, + "first_commit": "2022-06-08 11:34:04", + "latest_commit": "2023-07-11 12:22:09", "languages": [], "model_or_dataset": "dataset", - "model_size": null + "model_size": null, + "model_architectures": null }, { - "description": "Kanji Diffusion v1-4 Model Card Kanji Diffusion is a latent text-to-image diffusion model capable of hallucinating Kanji characters given any English prompt.", - "url": "https://huggingface.co./yashvoladoddi37/kanji-diffusion-v1-4", - "project_name": "kanji-diffusion-v1-4", - "downloads": 60, + "description": "Aerner LM-v2 事前学習から全部日本語で学習させたモデルのバージョン2です。 ", + "url": "https://huggingface.co./aerner/lm-v2", + "project_name": "lm-v2", + "downloads": 82, "source": "Hugging Face", - "score": -0.10743052828755667, - "first_commit": "2024-08-13 06:06:21", - "latest_commit": "2024-08-16 12:14:22", + "score": -0.11315756622627396, + "first_commit": "2023-06-09 15:19:12", + "latest_commit": "2023-06-09 16:08:47", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "OpenLlamaForCausalLM" }, { - "description": "This is a Japanese+English sentence-BERT model.", - "url": "https://huggingface.co./sonoisa/sentence-bert-base-ja-en-mean-tokens", - "project_name": "sentence-bert-base-ja-en-mean-tokens", - "downloads": 60, + "description": "Llama 3 Youko 70B (rinna/llama-3-youko-70b)", + "url": "https://huggingface.co./rinna/llama-3-youko-70b", + "project_name": "llama-3-youko-70b", + "downloads": 81, "source": "Hugging Face", - "score": -0.10743052828755667, - "first_commit": "2022-05-08 03:05:08", - "latest_commit": "2022-05-08 03:29:28", + "score": -0.11317327758296818, + "first_commit": "2024-07-21 14:13:34", + "latest_commit": "2024-07-25 05:16:28", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 70.6, + "model_architectures": "LlamaForCausalLM" }, { - "description": "自動生成Q&A 種々のデータソースから､MaziyarPanahi/Mixtral-8x22B-Instruct-v0.1-GGUFを使ってQ&Aを自動生成したものです｡ CC-BY系またはApatch-2.0のデータソースを改変して生成しています。 ", - "url": "https://huggingface.co./datasets/hatakeyama-llm-team/AutoGeneratedJapaneseQA", - "project_name": "AutoGeneratedJapaneseQA", - "downloads": 60, + "description": "We provide an Amazon product reviews dataset for multilingual text classification.", + "url": "https://huggingface.co./datasets/defunct-datasets/amazon_reviews_multi", + "project_name": "amazon_reviews_multi", + "downloads": 80, "source": "Hugging Face", - "score": -0.10743052828755667, - "first_commit": "2024-04-27 04:32:20", - "latest_commit": "2024-05-19 03:22:08", + "score": -0.1131889889396624, + "first_commit": "2022-01-25 16:34:54", + "latest_commit": "2023-11-02 14:52:21", "languages": [], "model_or_dataset": "dataset", - "model_size": null + "model_size": null, + "model_architectures": null }, { - "description": "Oumuamua-7b-instruct-v2 🚨 If you want to avoid outputs that appear to be literal translations, please prompt this model to role-play as a Japanese person.", - "url": "https://huggingface.co./nitky/Oumuamua-7b-instruct-v2", - "project_name": "Oumuamua-7b-instruct-v2", - "downloads": 59, + "description": "Japanese InstructBLIP Alpha Model Details Japanese InstructBLIP Alpha is a vision-language instruction-following model that enables to generate Japanese descriptions for input images and optionally input texts such as questions.", + "url": "https://huggingface.co./stabilityai/japanese-instructblip-alpha", + "project_name": "japanese-instructblip-alpha", + "downloads": 79, "source": "Hugging Face", - "score": -0.10744557804945806, - "first_commit": "2024-06-14 07:08:07", - "latest_commit": "2024-06-19 22:29:07", + "score": -0.11320470029635661, + "first_commit": "2023-08-16 23:49:58", + "latest_commit": "2023-11-17 03:57:41", "languages": [], "model_or_dataset": "model", - "model_size": 7.33 + "model_size": null, + "model_architectures": "JapaneseInstructBlipAlphaForConditionalGeneration" }, { - "description": "GPT-2 small Japanese model This repository contains a GPT2-small model trained on Japanese Wikipedia dataset.", - "url": "https://huggingface.co./colorfulscoop/gpt2-small-ja", - "project_name": "gpt2-small-ja", - "downloads": 57, + "description": "HODACHI様の Llama-3-EZO-8b-Common-it をGGUF形式に変換したものです。 ", + "url": "https://huggingface.co./MCZK/Llama-3-EZO-8b-Common-it-GGUF", + "project_name": "Llama-3-EZO-8b-Common-it-GGUF", + "downloads": 78, "source": "Hugging Face", - "score": -0.10747567757326085, - "first_commit": "2021-03-27 02:27:05", - "latest_commit": "2021-09-27 20:50:17", + "score": -0.11322041165305083, + "first_commit": "2024-07-15 11:58:12", + "latest_commit": "2024-07-15 20:08:22", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 8.03, + "model_architectures": null }, { - "description": "ChatNTQ JA 7B V1.0 Model Description", - "url": "https://huggingface.co./NTQAI/chatntq-ja-7b-v1.0", - "project_name": "chatntq-ja-7b-v1.0", - "downloads": 57, + "description": "Anime with caption CC-0 dataset このデータセットはイラストに対する日本語キャプションを 倫理的に学習しやすくするためのデータセットです。 ", + "url": "https://huggingface.co./datasets/alfredplpl/anime-with-caption-cc0", + "project_name": "anime-with-caption-cc0", + "downloads": 77, "source": "Hugging Face", - "score": -0.10747567757326085, - "first_commit": "2023-12-26 06:22:59", - "latest_commit": "2023-12-26 09:22:34", + "score": -0.11323612300974505, + "first_commit": "2024-06-03 04:37:13", + "latest_commit": "2024-06-03 05:49:20", "languages": [], - "model_or_dataset": "model", - "model_size": 7.24 + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null + }, + { + "description": "このデータセットについて このデータは、日本の官公庁のWebサイトに掲載されている「よくある質問」を手作業で抽出し、インストラクション用のデータセットとしたものです。 ", + "url": "https://huggingface.co./datasets/matsuxr/JaGovFaqs-22k", + "project_name": "JaGovFaqs-22k", + "downloads": 76, + "source": "Hugging Face", + "score": -0.11325183436643926, + "first_commit": "2023-12-31 13:58:41", + "latest_commit": "2024-02-29 02:51:20", + "languages": [], + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null }, { - "description": "roberta_qa_japanese (Japanese caption : 日本語の (抽出型) 質問応答のモデル)", - "url": "https://huggingface.co./tsmatz/roberta_qa_japanese", - "project_name": "roberta_qa_japanese", - "downloads": 57, + "description": "Model card for model ID", + "url": "https://huggingface.co./retrieva-jp/t5-small-medium", + "project_name": "t5-small-medium", + "downloads": 75, "source": "Hugging Face", - "score": -0.10747567757326085, - "first_commit": "2022-12-11 03:41:07", - "latest_commit": "2024-07-12 00:00:07", + "score": -0.11326754572313348, + "first_commit": "2023-04-26 08:26:19", + "latest_commit": "2023-05-10 10:01:16", "languages": [], "model_or_dataset": "model", - "model_size": 0.11 + "model_size": null, + "model_architectures": "T5ForConditionalGeneration" }, { - "description": "t5-base-japanese-web-8k (with Byte-fallback, 8K) Description megagonlabs/t5-base-japanese-web-8k is a T5 (Text-to-Text Transfer Transformer) model pre-trained on Japanese web texts.", - "url": "https://huggingface.co./megagonlabs/t5-base-japanese-web-8k", - "project_name": "t5-base-japanese-web-8k", - "downloads": 57, + "description": "モデルの説明(English explanation is below.", + "url": "https://huggingface.co./keitokei1994/swallow-3-8B-sqlcoder-2x8B-GGUF", + "project_name": "swallow-3-8B-sqlcoder-2x8B-GGUF", + "downloads": 75, "source": "Hugging Face", - "score": -0.10747567757326085, - "first_commit": "2021-09-06 10:13:42", - "latest_commit": "2023-07-04 07:05:38", + "score": -0.11326754572313348, + "first_commit": "2024-07-03 11:02:45", + "latest_commit": "2024-07-04 07:20:41", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 13.7, + "model_architectures": null }, { - "description": "The English document is here. ", - "url": "https://huggingface.co./watashiha/Watashiha-Llama-2-13B-Ogiri-sft", - "project_name": "Watashiha-Llama-2-13B-Ogiri-sft", - "downloads": 57, + "description": "Wikipediaを用いた日本語の固有表現抽出データセット GitHub: https://github.com/stockmarkteam/ner-wikipedia-dataset/ LICENSE: CC-BY-SA 3.0 Developed by Stockmark Inc.", + "url": "https://huggingface.co./datasets/stockmark/ner-wikipedia-dataset", + "project_name": "ner-wikipedia-dataset", + "downloads": 72, "source": "Hugging Face", - "score": -0.10747567757326085, - "first_commit": "2024-01-19 06:59:08", - "latest_commit": "2024-03-04 05:24:31", + "score": -0.11331467979321613, + "first_commit": "2023-09-02 14:38:55", + "latest_commit": "2023-09-02 14:42:18", "languages": [], - "model_or_dataset": "model", - "model_size": 13.1 + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null }, { "description": "Model card for model ID", "url": "https://huggingface.co./retrieva-jp/t5-base-medium", "project_name": "t5-base-medium", - "downloads": 56, + "downloads": 71, "source": "Hugging Face", - "score": -0.10749072733516224, + "score": -0.11333039114991034, "first_commit": "2023-04-26 08:27:09", "latest_commit": "2023-05-10 10:00:12", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "T5ForConditionalGeneration" }, { - "description": "モデル概要 このモデルは、 sonoisa/sentence-luke-japanese-base-lite をSNS上のコメントに人手で攻撃性評価を行ったデータセットでFine-tuningすることで作成しました。 ", - "url": "https://huggingface.co./TomokiFujihara/luke-japanese-base-lite-offensiveness-estimation", - "project_name": "luke-japanese-base-lite-offensiveness-estimation", - "downloads": 56, + "description": "range3/cc100-ja This dataset consists of parquet files from the cc100 dataset with only the Japanese language extracted and sharded.", + "url": "https://huggingface.co./datasets/range3/cc100-ja", + "project_name": "cc100-ja", + "downloads": 69, "source": "Hugging Face", - "score": -0.10749072733516224, - "first_commit": "2023-12-08 03:20:14", - "latest_commit": "2024-03-24 12:35:36", + "score": -0.11336181386329877, + "first_commit": "2023-02-04 05:10:34", + "latest_commit": "2023-02-04 05:43:32", "languages": [], - "model_or_dataset": "model", - "model_size": 0.133 + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null }, { - "description": "実験モデルです。", - "url": "https://huggingface.co./Akimite/Qwen2-7b-Instruct-Boku-v2", - "project_name": "Qwen2-7b-Instruct-Boku-v2", - "downloads": 56, + "description": "roberta-long-japanese (jumanpp + sentencepiece, mC4 Japanese)", + "url": "https://huggingface.co./megagonlabs/roberta-long-japanese", + "project_name": "roberta-long-japanese", + "downloads": 67, "source": "Hugging Face", - "score": -0.10749072733516224, - "first_commit": "2024-06-13 03:23:05", - "latest_commit": "2024-06-15 14:58:10", + "score": -0.1133932365766872, + "first_commit": "2022-09-04 14:31:06", + "latest_commit": "2022-10-04 23:36:27", "languages": [], "model_or_dataset": "model", - "model_size": 7.62 + "model_size": null, + "model_architectures": "RobertaForMaskedLM" }, { - "description": "Japanese-LLaMA-3-8B-Instruct-v2 Japanese-LLaMA-3-8B-Instruct-v2は指示実行モデル、フルモデルです。 ", - "url": "https://huggingface.co./owner203/japanese-llama-3-8b-instruct-v2", - "project_name": "japanese-llama-3-8b-instruct-v2", - "downloads": 56, + "description": "モデル概要 このモデルは、 sonoisa/sentence-luke-japanese-base-lite をSNS上のコメントに人手で攻撃性評価を行ったデータセットでFine-tuningすることで作成しました。 ", + "url": "https://huggingface.co./TomokiFujihara/luke-japanese-base-lite-offensiveness-estimation", + "project_name": "luke-japanese-base-lite-offensiveness-estimation", + "downloads": 66, "source": "Hugging Face", - "score": -0.10749072733516224, - "first_commit": "2024-06-10 10:10:19", - "latest_commit": "2024-06-21 06:35:31", + "score": -0.11340894793338142, + "first_commit": "2023-12-08 03:20:14", + "latest_commit": "2024-03-24 12:35:36", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": 0.133, + "model_architectures": "OffensivenessEstimationModel" }, { - "description": "SambaLingo-Japanese-Chat SambaLingo-Japanese-Chat is a human aligned chat model trained in Japanese and English.", - "url": "https://huggingface.co./LoneStriker/SambaLingo-Japanese-Chat-GGUF", - "project_name": "SambaLingo-Japanese-Chat-GGUF", - "downloads": 56, + "description": "albert-base-japanese-v1-with-japanese 日本語事前学習済みALBERTモデルですこのモデルではTokenizerにBertJapaneseTokenizerクラスを利用していますalbert-base-japanese-v1よりトークナイズ処理が楽になっています How to use ファインチューニング このモデルはPreTrainedモデルです基本的には各種タスク用にファインチューニングして使用されることを想定しています Fill-Mask for PyTorch from transformers import ( AutoModelForMaskedLM, AutoTokenizer ) tokenizer = AutoTokenizer.from_pretrained(\"ken11/albert-base-japanese-v1-with-japanese-tokenizer\")", + "url": "https://huggingface.co./ken11/albert-base-japanese-v1-with-japanese-tokenizer", + "project_name": "albert-base-japanese-v1-with-japanese-tokenizer", + "downloads": 65, "source": "Hugging Face", - "score": -0.10749072733516224, - "first_commit": "2024-03-07 06:38:01", - "latest_commit": "2024-03-07 06:48:27", + "score": -0.11342465929007564, + "first_commit": "2022-04-20 16:34:22", + "latest_commit": "2022-04-21 02:28:13", "languages": [], "model_or_dataset": "model", - "model_size": 6.95 + "model_size": null, + "model_architectures": "AlbertForMaskedLM" }, { - "description": "つくよみちゃんデータセットを用いて calm-2-7b-chat をファインチューニングしたモデルです。", - "url": "https://huggingface.co./offtoung/tsukuyomi-chan-calm2-7b", - "project_name": "tsukuyomi-chan-calm2-7b", - "downloads": 56, + "description": "Umievo-itr012-Gleipnir-7B このモデルは強力な４つの日本語モデルを進化的アルゴリズムで進化的マージしたものです。", + "url": "https://huggingface.co./umiyuki/Umievo-itr012-Gleipnir-7B", + "project_name": "Umievo-itr012-Gleipnir-7B", + "downloads": 65, "source": "Hugging Face", - "score": -0.10749072733516224, - "first_commit": "2023-12-21 08:46:37", - "latest_commit": "2023-12-27 04:07:20", + "score": -0.11342465929007564, + "first_commit": "2024-05-29 12:32:29", + "latest_commit": "2024-05-29 13:51:31", "languages": [], "model_or_dataset": "model", - "model_size": 7.01 + "model_size": 7.24, + "model_architectures": "MistralForCausalLM" }, { - "description": "bert-base-japanese-v3-jcommonsenseqa 「大規模言語モデル入門」の第5章で紹介している(多肢選択式質問応答)のモデルです。 ", - "url": "https://huggingface.co./llm-book/bert-base-japanese-v3-jcommonsenseqa", - "project_name": "bert-base-japanese-v3-jcommonsenseqa", - "downloads": 56, + "description": "c4ai-command-r-v01-japanese-instruct GGUF版はこちら/Click here for the GGUF version 概要 CohereForAI/c4ai-command-r-v01を、ichikara-instructionを使って追加で日本語インストラクションチューニングを施したモデルです。 ", + "url": "https://huggingface.co./Aratako/c4ai-command-r-v01-japanese-instruct", + "project_name": "c4ai-command-r-v01-japanese-instruct", + "downloads": 64, "source": "Hugging Face", - "score": -0.10749072733516224, - "first_commit": "2023-06-20 07:01:53", - "latest_commit": "2023-07-24 06:49:16", + "score": -0.11344037064676986, + "first_commit": "2024-04-04 03:56:52", + "latest_commit": "2024-04-07 15:18:37", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 35.0, + "model_architectures": "CohereForCausalLM" }, { - "description": "whisper-large-v2-mix-jp model for CTranslate2 This repository contains the conversion of vumichien/whisper-large-v2-mix-jp to the CTranslate2 model format.", - "url": "https://huggingface.co./arc-r/faster-whisper-large-v2-mix-jp", - "project_name": "faster-whisper-large-v2-mix-jp", - "downloads": 55, + "description": "https://huggingface.co./kotoba-tech/kotoba-whisper-v1.1 上記のモデルを訓練し、アダルト用語を認識できるようにしたものです。", + "url": "https://huggingface.co./swdq/Visual-novel-whisper", + "project_name": "Visual-novel-whisper", + "downloads": 63, "source": "Hugging Face", - "score": -0.10750577709706363, - "first_commit": "2023-07-07 05:53:52", - "latest_commit": "2023-07-07 17:56:03", + "score": -0.11345608200346408, + "first_commit": "2024-07-24 10:09:29", + "latest_commit": "2024-07-24 10:29:47", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.756, + "model_architectures": "WhisperForConditionalGeneration" }, { - "description": "BERT base Japanese - JaQuAD Description A Japanese Question Answering model fine-tuned on JaQuAD.", - "url": "https://huggingface.co./SkelterLabsInc/bert-base-japanese-jaquad", - "project_name": "bert-base-japanese-jaquad", - "downloads": 55, + "description": "このモデルはluke-japanese-base-liteをファインチューニングして、Question-Answeringに用いれるようにしたものです。 ", + "url": "https://huggingface.co./Mizuiro-sakura/luke-japanese-base-finetuned-QA", + "project_name": "luke-japanese-base-finetuned-QA", + "downloads": 63, "source": "Hugging Face", - "score": -0.10750577709706363, - "first_commit": "2022-01-27 08:08:53", - "latest_commit": "2022-02-04 02:39:25", + "score": -0.11345608200346408, + "first_commit": "2023-01-15 23:38:30", + "latest_commit": "2023-07-21 14:11:02", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.132, + "model_architectures": "LukeForQuestionAnswering" }, { - "description": "bert-japanese_finetuned-sentiment-analysis This model was trained from scratch on the Japanese Sentiment Polarity Dictionary dataset.", - "url": "https://huggingface.co./minutillamolinara/bert-japanese_finetuned-sentiment-analysis", - "project_name": "bert-japanese_finetuned-sentiment-analysis", - "downloads": 54, + "description": "Asian Language Treebank (ALT) Project ALT Parallel Corpusのうち、日英対訳部分のみを抽出したデータセットです。", + "url": "https://huggingface.co./datasets/hpprc/alt-parallel-en-ja", + "project_name": "alt-parallel-en-ja", + "downloads": 63, "source": "Hugging Face", - "score": -0.10752082685896502, - "first_commit": "2023-03-31 02:28:09", - "latest_commit": "2023-03-31 13:13:37", + "score": -0.11345608200346408, + "first_commit": "2024-03-21 02:24:27", + "latest_commit": "2024-03-21 12:40:15", "languages": [], - "model_or_dataset": "model", - "model_size": null + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null }, { - "description": "nlp-waseda/bigbird-base-japanese Model description This is a Japanese BigBird base model pretrained on Japanese Wikipedia, the Japanese portion of CC-100, and the Japanese portion of OSCAR.", - "url": "https://huggingface.co./nlp-waseda/bigbird-base-japanese", - "project_name": "bigbird-base-japanese", - "downloads": 53, + "description": "Synthetic-Japanese-Roleplay-gpt-4o-mini-19.8k 概要 gpt-4o-miniを用いて作成した、約19800件の日本語ロールプレイの対話を収録した合成データセットです。", + "url": "https://huggingface.co./datasets/Aratako/Synthetic-Japanese-Roleplay-gpt-4o-mini-19.8k", + "project_name": "Synthetic-Japanese-Roleplay-gpt-4o-mini-19.8k", + "downloads": 63, "source": "Hugging Face", - "score": -0.10753587662086642, - "first_commit": "2023-06-03 12:51:12", - "latest_commit": "2023-06-20 10:49:17", + "score": -0.11345608200346408, + "first_commit": "2024-08-16 14:35:16", + "latest_commit": "2024-08-16 16:45:26", "languages": [], - "model_or_dataset": "model", - "model_size": null + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null }, { - "description": "BERT for Japanese Twitter", - "url": "https://huggingface.co./LoneWolfgang/bert-for-japanese-twitter", - "project_name": "bert-for-japanese-twitter", - "downloads": 53, + "description": "GGUF conversion of NTQAI/chatntq-ja-7b-v1.0 ChatNTQ-JA-7b-v1.0 is a Japanese chat fine-tuned model built on top of the stabilityai/japanese-stablelm-base-gamma-7b, which is originally based on Mistral 7B v0.1.", + "url": "https://huggingface.co./TFMC/ChatNTQ-JA-7b-v1.0-GGUF", + "project_name": "ChatNTQ-JA-7b-v1.0-GGUF", + "downloads": 62, "source": "Hugging Face", - "score": -0.10753587662086642, - "first_commit": "2024-05-06 15:53:21", - "latest_commit": "2024-08-09 12:24:35", + "score": -0.1134717933601583, + "first_commit": "2024-04-03 22:42:14", + "latest_commit": "2024-04-04 23:10:54", "languages": [], "model_or_dataset": "model", - "model_size": 0.111 + "model_size": 7.24, + "model_architectures": null }, { - "description": "Japanese to Korean translator Japanese to Korean translator model based on EncoderDecoderModel(bert-japanese+kogpt2)", - "url": "https://huggingface.co./sappho192/aihub-ja-ko-translator", - "project_name": "aihub-ja-ko-translator", - "downloads": 53, + "description": "Model card for model ID", + "url": "https://huggingface.co./retrieva-jp/t5-xl", + "project_name": "t5-xl", + "downloads": 62, "source": "Hugging Face", - "score": -0.10753587662086642, - "first_commit": "2024-02-05 00:51:47", - "latest_commit": "2024-06-28 06:38:39", + "score": -0.1134717933601583, + "first_commit": "2023-04-26 07:19:08", + "latest_commit": "2023-05-10 10:01:04", "languages": [], "model_or_dataset": "model", - "model_size": 0.265 + "model_size": null, + "model_architectures": "T5ForConditionalGeneration" }, { - "description": "japanese-large-lm-3.6b-instruction-sft-4bit-128g-actorder_False", - "url": "https://huggingface.co./line-corporation/japanese-large-lm-3.6b-instruction-sft-4bit-128g-actorder_False", - "project_name": "japanese-large-lm-3.6b-instruction-sft-4bit-128g-actorder_False", - "downloads": 52, + "description": "Wav2Vec2-Large-XLSR-53-Japanese Fine-tuned facebook/wav2vec2-large-xlsr-53 on Japanese using the Common Voice and Japanese speech corpus of Saruwatari-lab, University of Tokyo JSUT.", + "url": "https://huggingface.co./vumichien/wav2vec2-large-xlsr-japanese", + "project_name": "wav2vec2-large-xlsr-japanese", + "downloads": 61, "source": "Hugging Face", - "score": -0.10755092638276781, - "first_commit": "2023-09-26 06:16:04", - "latest_commit": "2023-09-27 23:54:44", + "score": -0.11348750471685251, + "first_commit": "2021-03-28 04:21:20", + "latest_commit": "2023-02-08 00:15:23", "languages": [], "model_or_dataset": "model", - "model_size": 0.771 - }, - { - "description": "自動生成Q&A データソースから､MaziyarPanahi/Mixtral-8x22B-Instruct-v0.1-GGUFを使ってQ&Aを自動生成したものです｡ Common Crawlをもとに生成しています。 ", - "url": "https://huggingface.co./datasets/hatakeyama-llm-team/AutoGeneratedJapaneseQA-CC", - "project_name": "AutoGeneratedJapaneseQA-CC", - "downloads": 51, - "source": "Hugging Face", - "score": -0.1075659761446692, - "first_commit": "2024-05-18 03:55:41", - "latest_commit": "2024-05-19 09:25:43", - "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_size": 0.318, + "model_architectures": "Wav2Vec2ForCTC" }, { - "description": "japanese-large-lm-1.7b-instruction-sft-8bit-1g-actorder_True", - "url": "https://huggingface.co./line-corporation/japanese-large-lm-1.7b-instruction-sft-8bit-1g-actorder_True", - "project_name": "japanese-large-lm-1.7b-instruction-sft-8bit-1g-actorder_True", - "downloads": 50, + "description": "ChatNTQ JA 7B V1.0 Model Description", + "url": "https://huggingface.co./NTQAI/chatntq-ja-7b-v1.0", + "project_name": "chatntq-ja-7b-v1.0", + "downloads": 60, "source": "Hugging Face", - "score": -0.1075810259065706, - "first_commit": "2023-09-26 06:15:31", - "latest_commit": "2023-09-29 03:09:03", + "score": -0.11350321607354673, + "first_commit": "2023-12-26 06:22:59", + "latest_commit": "2023-12-26 09:22:34", "languages": [], "model_or_dataset": "model", - "model_size": 0.625 + "model_size": 7.24, + "model_architectures": "MistralForCausalLM" }, { - "description": "japanese-large-lm-1.7b-instruction-sft-4bit-128g-actorder_False", - "url": "https://huggingface.co./line-corporation/japanese-large-lm-1.7b-instruction-sft-4bit-128g-actorder_False", - "project_name": "japanese-large-lm-1.7b-instruction-sft-4bit-128g-actorder_False", - "downloads": 50, + "description": "Orion-14B 🌐English | 🇨", + "url": "https://huggingface.co./nold/Orion-14B-Base-GGUF", + "project_name": "Orion-14B-Base-GGUF", + "downloads": 60, "source": "Hugging Face", - "score": -0.1075810259065706, - "first_commit": "2023-09-26 06:15:16", - "latest_commit": "2023-09-29 03:19:23", + "score": -0.11350321607354673, + "first_commit": "2024-03-07 14:56:51", + "latest_commit": "2024-03-07 19:33:53", "languages": [], "model_or_dataset": "model", - "model_size": 0.446 + "model_size": 14.5, + "model_architectures": null }, { - "description": "Original Model Optical character recognition for Japanese text, with the main focus being Japanese manga.", - "url": "https://huggingface.co./TareHimself/manga-ocr-base", - "project_name": "manga-ocr-base", - "downloads": 50, + "description": "Kanji Diffusion v1-4 Model Card Kanji Diffusion is a latent text-to-image diffusion model capable of hallucinating Kanji characters given any English prompt.", + "url": "https://huggingface.co./yashvoladoddi37/kanji-diffusion-v1-4", + "project_name": "kanji-diffusion-v1-4", + "downloads": 60, "source": "Hugging Face", - "score": -0.1075810259065706, - "first_commit": "2023-09-14 04:15:52", - "latest_commit": "2024-06-03 05:10:11", + "score": -0.11350321607354673, + "first_commit": "2024-08-13 06:06:21", + "latest_commit": "2024-08-16 12:14:22", "languages": [], "model_or_dataset": "model", - "model_size": 0.111 + "model_size": null, + "model_architectures": null }, { - "description": "japanese-large-lm-3.6b-instruction-sft-4bit-32g-actorder_False", - "url": "https://huggingface.co./line-corporation/japanese-large-lm-3.6b-instruction-sft-4bit-32g-actorder_False", - "project_name": "japanese-large-lm-3.6b-instruction-sft-4bit-32g-actorder_False", - "downloads": 49, + "description": "Cross-Encoder for Natural Language Inference(NLI) for Japanese Considering the results of the JNLI evaluation result, we recommend using akiFQC/bert-base-japanese-v3_nli-jsnli-jnli-jsick for natural language inference in Japanese.", + "url": "https://huggingface.co./akiFQC/bert-base-japanese-v3_nli-jsnli", + "project_name": "bert-base-japanese-v3_nli-jsnli", + "downloads": 59, "source": "Hugging Face", - "score": -0.10759607566847199, - "first_commit": "2023-09-26 06:15:51", - "latest_commit": "2023-09-27 23:56:05", + "score": -0.11351892743024095, + "first_commit": "2024-04-11 05:38:09", + "latest_commit": "2024-04-26 06:27:05", "languages": [], "model_or_dataset": "model", - "model_size": 0.861 + "model_size": 0.111, + "model_architectures": "BertForSequenceClassification" }, { - "description": "nlp-waseda/roberta-large-japanese-seq512-with-auto-jumanpp Model description", - "url": "https://huggingface.co./nlp-waseda/roberta-large-japanese-seq512-with-auto-jumanpp", - "project_name": "roberta-large-japanese-seq512-with-auto-jumanpp", - "downloads": 49, + "description": "Google's mt5-base fine-tuned in Japanese to solve error detection and correction task. ", + "url": "https://huggingface.co./kz/mt5base-finetuned-ECC-japanese-small", + "project_name": "mt5base-finetuned-ECC-japanese-small", + "downloads": 59, "source": "Hugging Face", - "score": -0.10759607566847199, - "first_commit": "2022-10-15 06:04:06", - "latest_commit": "2022-10-21 15:56:38", + "score": -0.11351892743024095, + "first_commit": "2021-03-21 19:07:13", + "latest_commit": "2022-05-26 13:50:56", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "MT5ForConditionalGeneration" }, { - "description": "Oumuamua-7b-instruct This is a merge of pre-trained language models created using mergekit. ", - "url": "https://huggingface.co./nitky/Oumuamua-7b-instruct", - "project_name": "Oumuamua-7b-instruct", - "downloads": 49, + "description": "BERT base Japanese - JaQuAD Description A Japanese Question Answering model fine-tuned on JaQuAD.", + "url": "https://huggingface.co./SkelterLabsInc/bert-base-japanese-jaquad", + "project_name": "bert-base-japanese-jaquad", + "downloads": 59, "source": "Hugging Face", - "score": -0.10759607566847199, - "first_commit": "2024-06-01 10:40:37", - "latest_commit": "2024-06-01 15:55:51", + "score": -0.11351892743024095, + "first_commit": "2022-01-27 08:08:53", + "latest_commit": "2022-02-04 02:39:25", "languages": [], "model_or_dataset": "model", - "model_size": 7.33 + "model_size": null, + "model_architectures": "BertForQuestionAnswering" }, { - "description": "Japanese InstructBLIP Alpha Model Details Japanese InstructBLIP Alpha is a vision-language instruction-following model that enables to generate Japanese descriptions for input images and optionally input texts such as questions.", - "url": "https://huggingface.co./stabilityai/japanese-instructblip-alpha", - "project_name": "japanese-instructblip-alpha", - "downloads": 49, + "description": "studio-ousia/luke-japanese-baseに対して次の変更を加えたモデルです。 ", + "url": "https://huggingface.co./uzabase/luke-japanese-wordpiece-base", + "project_name": "luke-japanese-wordpiece-base", + "downloads": 58, "source": "Hugging Face", - "score": -0.10759607566847199, - "first_commit": "2023-08-16 23:49:58", - "latest_commit": "2023-11-17 03:57:41", + "score": -0.11353463878693516, + "first_commit": "2023-08-10 06:04:58", + "latest_commit": "2023-11-28 13:35:07", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "LukeForMaskedLM" }, { - "description": "名言推論モデル", - "url": "https://huggingface.co./Momerio/meigen_generate_Japanese", - "project_name": "meigen_generate_Japanese", - "downloads": 49, + "description": "Oumuamua-7b-instruct-v2 🚨 If you want to avoid outputs that appear to be literal translations, please prompt this model to role-play as a Japanese person.", + "url": "https://huggingface.co./nitky/Oumuamua-7b-instruct-v2", + "project_name": "Oumuamua-7b-instruct-v2", + "downloads": 58, "source": "Hugging Face", - "score": -0.10759607566847199, - "first_commit": "2021-10-13 15:30:14", - "latest_commit": "2021-10-26 01:19:59", + "score": -0.11353463878693516, + "first_commit": "2024-06-14 07:08:07", + "latest_commit": "2024-06-19 22:29:07", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 7.33, + "model_architectures": "MistralForCausalLM" }, { - "description": "roberta-long-japanese (jumanpp + sentencepiece, mC4 Japanese)", - "url": "https://huggingface.co./megagonlabs/roberta-long-japanese", - "project_name": "roberta-long-japanese", - "downloads": 49, + "description": "COMET-GPT2 ja Finetuned GPT-2 on ATOMIC ja using a causal language modeling (CLM) objective.", + "url": "https://huggingface.co./nlp-waseda/comet-gpt2-small-japanese", + "project_name": "comet-gpt2-small-japanese", + "downloads": 57, "source": "Hugging Face", - "score": -0.10759607566847199, - "first_commit": "2022-09-04 14:31:06", - "latest_commit": "2022-10-04 23:36:27", + "score": -0.11355035014362938, + "first_commit": "2022-11-15 05:14:35", + "latest_commit": "2023-02-13 10:26:12", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "GPT2LMHeadModel" }, { - "description": "Heron BLIP Japanese StableLM", - "url": "https://huggingface.co./turing-motors/heron-chat-blip-ja-stablelm-base-7b-v1", - "project_name": "heron-chat-blip-ja-stablelm-base-7b-v1", - "downloads": 48, + "description": "whisper-large-v2-mix-jp model for CTranslate2 This repository contains the conversion of vumichien/whisper-large-v2-mix-jp to the CTranslate2 model format.", + "url": "https://huggingface.co./arc-r/faster-whisper-large-v2-mix-jp", + "project_name": "faster-whisper-large-v2-mix-jp", + "downloads": 57, "source": "Hugging Face", - "score": -0.10761112543037338, - "first_commit": "2024-02-20 11:32:57", - "latest_commit": "2024-02-27 13:57:20", + "score": -0.11355035014362938, + "first_commit": "2023-07-07 05:53:52", + "latest_commit": "2023-07-07 17:56:03", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": null }, { - "description": "bert-base-japanese-v3-bpr-question-aio 「大規模言語モデル入門」の第9章で紹介している文書検索モデルBPRの質問エンコーダです。 ", - "url": "https://huggingface.co./llm-book/bert-base-japanese-v3-bpr-question-aio", - "project_name": "bert-base-japanese-v3-bpr-question-aio", - "downloads": 48, + "description": "japanese-large-lm-3.6b-instruction-sft-8bit-1g-actorder_True", + "url": "https://huggingface.co./line-corporation/japanese-large-lm-3.6b-instruction-sft-8bit-1g-actorder_True", + "project_name": "japanese-large-lm-3.6b-instruction-sft-8bit-1g-actorder_True", + "downloads": 56, "source": "Hugging Face", - "score": -0.10761112543037338, - "first_commit": "2023-06-06 08:21:13", - "latest_commit": "2023-07-24 07:12:05", + "score": -0.1135660615003236, + "first_commit": "2023-09-26 06:16:23", + "latest_commit": "2023-09-28 00:02:06", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 1.17, + "model_architectures": "GPTNeoXForCausalLM" }, { - "description": "jpn-heb source group: Japanese target group:", - "url": "https://huggingface.co./Helsinki-NLP/opus-mt-ja-he", - "project_name": "opus-mt-ja-he", - "downloads": 48, + "description": "This is a Japanese+English sentence-BERT model.", + "url": "https://huggingface.co./sonoisa/sentence-bert-base-ja-en-mean-tokens", + "project_name": "sentence-bert-base-ja-en-mean-tokens", + "downloads": 56, "source": "Hugging Face", - "score": -0.10761112543037338, - "first_commit": "2020-08-19 00:28:58", - "latest_commit": "2023-08-16 11:59:12", + "score": -0.1135660615003236, + "first_commit": "2022-05-08 03:05:08", + "latest_commit": "2022-05-08 03:29:28", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "BertModel" }, { - "description": "bert-base-japanese-jsnli This model is a fine-tuned version of cl-tohoku/bert-base-japanese-v2 on the JSNLI dataset.", - "url": "https://huggingface.co./Formzu/bert-base-japanese-jsnli", - "project_name": "bert-base-japanese-jsnli", - "downloads": 47, + "description": "Ninja-v1-RP-expressive-v2 GGUF版はこちら/Click here for the GGUF version 概要 This is a merge of pre-trained language models created using mergekit. ", + "url": "https://huggingface.co./Aratako/Ninja-v1-RP-expressive-v2", + "project_name": "Ninja-v1-RP-expressive-v2", + "downloads": 56, "source": "Hugging Face", - "score": -0.10762617519227477, - "first_commit": "2022-10-14 07:50:13", - "latest_commit": "2022-10-18 12:13:20", + "score": -0.1135660615003236, + "first_commit": "2024-05-25 16:56:18", + "latest_commit": "2024-05-26 15:20:52", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 7.24, + "model_architectures": "MistralForCausalLM" }, { - "description": "モデル ベースモデル：microsoft/Phi-3-mini-4k-instruct 学習データセット：llm-jp/hh-rlhf-12k-ja 学習方式：フルパラメータチューニング サンプル import torch from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained( \"ryota39/Phi-3-mini-4k-instruct-dpo\", trust_remote_code=True, ) model = AutoModelForCausalLM.from_pretrained( \"ryota39/Phi-3-mini-4k-instruct-dpo\", device_map=\"auto\", torch_dtype='auto', trust_remote_code=True, ) text = \"<|user|>\\n与えられた質問に対して英語で思考し、日本語で答えてください。", - "url": "https://huggingface.co./ryota39/Phi-3-mini-4k-instruct-dpo", - "project_name": "Phi-3-mini-4k-instruct-dpo", - "downloads": 47, + "description": "Japanese-LLaMA-2-13B-GGUF Japanese-LLaMA-2-13B-GGUFはJapanese-LLaMA-2-13BのGGUF形式です。 ", + "url": "https://huggingface.co./owner203/japanese-llama-2-13b-gguf", + "project_name": "japanese-llama-2-13b-gguf", + "downloads": 56, "source": "Hugging Face", - "score": -0.10762617519227477, - "first_commit": "2024-04-24 16:21:32", - "latest_commit": "2024-05-01 07:41:46", + "score": -0.1135660615003236, + "first_commit": "2023-12-20 05:37:09", + "latest_commit": "2023-12-26 11:45:15", "languages": [], "model_or_dataset": "model", - "model_size": 3.82 + "model_size": 13.3, + "model_architectures": null }, { - "description": "275.86Mのmixtralを日本語データセットでpretrainingしたものです sample from transformers import AutoTokenizer, AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained(\"if001/tiny_mixtral_ja\")", - "url": "https://huggingface.co./hibikaze/tiny_mixtral_ja_with_tokenizer", - "project_name": "tiny_mixtral_ja_with_tokenizer", - "downloads": 46, + "description": "llm-book/bert-base-japanese-v3-crf-ner-wikipedia-dataset 「大規模言語モデル入門」の第6章で紹介している固有表現認識のモデルです。 ", + "url": "https://huggingface.co./llm-book/bert-base-japanese-v3-crf-ner-wikipedia-dataset", + "project_name": "bert-base-japanese-v3-crf-ner-wikipedia-dataset", + "downloads": 55, "source": "Hugging Face", - "score": -0.10764122495417616, - "first_commit": "2024-07-20 05:30:59", - "latest_commit": "2024-07-20 05:33:38", + "score": -0.11358177285701782, + "first_commit": "2023-05-28 08:19:43", + "latest_commit": "2023-07-25 15:04:39", "languages": [], "model_or_dataset": "model", - "model_size": 0.276 + "model_size": null, + "model_architectures": "BertWithCrfForTokenClassification" }, { - "description": "Synthetic-JP-10-Turns-Roleplay-Dialogues-Nemotron-4-1k nvidia/Nemotron-4-340B-Instructを用いて作成した、約1000件・各10ターンの日本語ロールプレイの対話を収録した合成対話データセットです。 ", - "url": "https://huggingface.co./datasets/Aratako/Synthetic-JP-10-Turns-Roleplay-Dialogues-Nemotron-4-1k", - "project_name": "Synthetic-JP-10-Turns-Roleplay-Dialogues-Nemotron-4-1k", - "downloads": 46, + "description": "t5-base-japanese-web-8k (with Byte-fallback, 8K) Description megagonlabs/t5-base-japanese-web-8k is a T5 (Text-to-Text Transfer Transformer) model pre-trained on Japanese web texts.", + "url": "https://huggingface.co./megagonlabs/t5-base-japanese-web-8k", + "project_name": "t5-base-japanese-web-8k", + "downloads": 55, "source": "Hugging Face", - "score": -0.10764122495417616, - "first_commit": "2024-07-03 13:21:22", - "latest_commit": "2024-07-03 13:53:20", + "score": -0.11358177285701782, + "first_commit": "2021-09-06 10:13:42", + "latest_commit": "2023-07-04 07:05:38", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": null, + "model_architectures": "T5ForConditionalGeneration" }, { - "description": "One more step before getting this model.", - "url": "https://huggingface.co./rinna/japanese-stable-diffusion", - "project_name": "japanese-stable-diffusion", - "downloads": 45, + "description": "japanese-large-lm-3.6b-instruction-sft-4bit-128g-actorder_False", + "url": "https://huggingface.co./line-corporation/japanese-large-lm-3.6b-instruction-sft-4bit-128g-actorder_False", + "project_name": "japanese-large-lm-3.6b-instruction-sft-4bit-128g-actorder_False", + "downloads": 54, "source": "Hugging Face", - "score": -0.10765627471607755, - "first_commit": null, - "latest_commit": null, + "score": -0.11359748421371203, + "first_commit": "2023-09-26 06:16:04", + "latest_commit": "2023-09-27 23:54:44", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.771, + "model_architectures": "GPTNeoXForCausalLM" }, { - "description": "studio-ousia/luke-japanese-baseに対して次の変更を加えたモデルです。 ", - "url": "https://huggingface.co./uzabase/luke-japanese-wordpiece-base", - "project_name": "luke-japanese-wordpiece-base", - "downloads": 45, + "description": "Miwa-Keita/zenz-v1-checkpoints を optimum 用に ONNX に変換したモデルです。", + "url": "https://huggingface.co./p1atdev/zenz-v1-onnx", + "project_name": "zenz-v1-onnx", + "downloads": 54, "source": "Hugging Face", - "score": -0.10765627471607755, - "first_commit": "2023-08-10 06:04:58", - "latest_commit": "2023-11-28 13:35:07", + "score": -0.11359748421371203, + "first_commit": "2024-06-29 03:03:03", + "latest_commit": "2024-06-29 03:40:34", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "GPT2LMHeadModel" }, { - "description": "Overview of bert-japanese-12M The bert-japanese-12M model is a transformer-based model with BERT architecture, which is designed to be used on Japanese text.", - "url": "https://huggingface.co./nptdat/bert-japanese-12M", - "project_name": "bert-japanese-12M", - "downloads": 45, + "description": "alpaca-guanaco-japanese-gpt-1b 1.3Bパラメータの日本語GPTモデルを使用した対話AIです。", + "url": "https://huggingface.co./inu-ai/alpaca-guanaco-japanese-gpt-1b", + "project_name": "alpaca-guanaco-japanese-gpt-1b", + "downloads": 54, "source": "Hugging Face", - "score": -0.10765627471607755, - "first_commit": "2024-08-16 16:46:49", - "latest_commit": "2024-08-19 02:56:14", + "score": -0.11359748421371203, + "first_commit": "2023-04-12 00:18:29", + "latest_commit": "2023-04-13 10:25:48", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 1.33, + "model_architectures": "GPT2LMHeadModel" }, { - "description": "📄 ライセンス / License 修正 CreativeML OpenRAIL-M ライセンス / Modified CreativeML OpenRAIL-M license このモデルのクレジットを入れずに使用する Use the model without crediting the creator このモデルで生成した画像を商用利用する Sell images they generate このモデルを商用の画像生成サービスで利用する Run on services that generate images for money このモデルを使用したマージモデルを共有する Share merges using this model このモデル、またはこのモデルをマージしたモデルを販売する Sell this model or merges using this model このモデルをマージしたモデルに異なる権限を設定する Have different permissions when sharing merges", - "url": "https://huggingface.co./natsusakiyomi/AsagaoMix", - "project_name": "AsagaoMix", - "downloads": 45, + "description": "japanese-large-lm-1.7b-instruction-sft-4bit-128g-actorder_False", + "url": "https://huggingface.co./line-corporation/japanese-large-lm-1.7b-instruction-sft-4bit-128g-actorder_False", + "project_name": "japanese-large-lm-1.7b-instruction-sft-4bit-128g-actorder_False", + "downloads": 53, "source": "Hugging Face", - "score": -0.10765627471607755, - "first_commit": "2023-07-29 03:42:53", - "latest_commit": "2023-08-25 07:32:49", + "score": -0.11361319557040625, + "first_commit": "2023-09-26 06:15:16", + "latest_commit": "2023-09-29 03:19:23", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.446, + "model_architectures": "GPT2LMHeadModel" }, { - "description": "COMET-GPT2 ja Finetuned GPT-2 on ATOMIC ja using a causal language modeling (CLM) objective.", - "url": "https://huggingface.co./nlp-waseda/comet-gpt2-small-japanese", - "project_name": "comet-gpt2-small-japanese", - "downloads": 45, + "description": "Heron BLIP Japanese StableLM", + "url": "https://huggingface.co./turing-motors/heron-chat-blip-ja-stablelm-base-7b-v1-llava-620k", + "project_name": "heron-chat-blip-ja-stablelm-base-7b-v1-llava-620k", + "downloads": 53, "source": "Hugging Face", - "score": -0.10765627471607755, - "first_commit": "2022-11-15 05:14:35", - "latest_commit": "2023-02-13 10:26:12", + "score": -0.11361319557040625, + "first_commit": "2024-02-27 13:48:02", + "latest_commit": "2024-02-27 13:59:23", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "VideoBlipForConditionalGeneration" }, { - "description": "nlp-waseda/roberta-large-japanese Model description This is a Japanese RoBERTa large model pretrained on Japanese Wikipedia and the Japanese portion of CC-100.", - "url": "https://huggingface.co./nlp-waseda/roberta-large-japanese", - "project_name": "roberta-large-japanese", - "downloads": 45, + "description": "Japanese-Alpaca-2-13B-GGUF Japanese-Alpaca-2-13B-GGUFはJapanese-Alpaca-2-13BのGGUF形式です。 ", + "url": "https://huggingface.co./owner203/japanese-alpaca-2-13b-gguf", + "project_name": "japanese-alpaca-2-13b-gguf", + "downloads": 53, "source": "Hugging Face", - "score": -0.10765627471607755, - "first_commit": "2022-05-10 08:37:48", - "latest_commit": "2022-10-21 14:48:46", + "score": -0.11361319557040625, + "first_commit": "2023-12-20 10:56:08", + "latest_commit": "2023-12-26 11:46:41", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 13.3, + "model_architectures": null }, { - "description": "自動生成Q&A データソースから､MaziyarPanahi/Mixtral-8x22B-Instruct-v0.1-GGUFを使ってQ&Aを自動生成したものです｡ チームで作成したデータおよび「Common Crawlをもとに生成しています。 ", - "url": "https://huggingface.co./datasets/hatakeyama-llm-team/AutoGeneratedJapaneseQA-other", - "project_name": "AutoGeneratedJapaneseQA-other", - "downloads": 45, + "description": "Original Model Optical character recognition for Japanese text, with the main focus being Japanese manga.", + "url": "https://huggingface.co./TareHimself/manga-ocr-base", + "project_name": "manga-ocr-base", + "downloads": 53, "source": "Hugging Face", - "score": -0.10765627471607755, - "first_commit": "2024-05-19 02:45:59", - "latest_commit": "2024-05-19 14:17:58", + "score": -0.11361319557040625, + "first_commit": "2023-09-14 04:15:52", + "latest_commit": "2024-06-03 05:10:11", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": 0.111, + "model_architectures": "VisionEncoderDecoderModel" }, { - "description": "Asian Language Treebank (ALT) Project ALT Parallel Corpusのうち、日英対訳部分のみを抽出したデ���タセットです。", - "url": "https://huggingface.co./datasets/hpprc/alt-parallel-en-ja", - "project_name": "alt-parallel-en-ja", - "downloads": 45, + "description": "実験モデルです。", + "url": "https://huggingface.co./Akimite/Qwen2-7b-Instruct-Boku-v2", + "project_name": "Qwen2-7b-Instruct-Boku-v2", + "downloads": 52, "source": "Hugging Face", - "score": -0.10765627471607755, - "first_commit": "2024-03-21 02:24:27", - "latest_commit": "2024-03-21 12:40:15", + "score": -0.11362890692710047, + "first_commit": "2024-06-13 03:23:05", + "latest_commit": "2024-06-15 14:58:10", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": 7.62, + "model_architectures": "Qwen2ForCausalLM" }, { - "description": "japanese-large-lm-1.7b-instruction-sft-4bit-32g-actorder_False", - "url": "https://huggingface.co./line-corporation/japanese-large-lm-1.7b-instruction-sft-4bit-32g-actorder_False", - "project_name": "japanese-large-lm-1.7b-instruction-sft-4bit-32g-actorder_False", - "downloads": 44, + "description": "Fine-tuned XLSR-53 large model for speech diarization in Japanese phone-call 2 speakers diarization model which was fine-tuned facebook/wav2vec2-large-xlsr-53 on Japanese using phone-call data CallHome.", + "url": "https://huggingface.co./Ivydata/wav2vec2-large-speech-diarization-jp", + "project_name": "wav2vec2-large-speech-diarization-jp", + "downloads": 51, "source": "Hugging Face", - "score": -0.10767132447797895, - "first_commit": "2023-09-26 06:14:25", - "latest_commit": "2023-09-27 01:23:34", + "score": -0.11364461828379468, + "first_commit": "2023-05-08 10:10:43", + "latest_commit": "2023-05-10 00:32:23", "languages": [], "model_or_dataset": "model", - "model_size": 0.487 + "model_size": null, + "model_architectures": "Wav2Vec2ForAudioFrameClassification" }, { - "description": "Model Card for Japanese character-level GPT-2 Large Model description", - "url": "https://huggingface.co./ku-nlp/gpt2-large-japanese-char", - "project_name": "gpt2-large-japanese-char", - "downloads": 44, + "description": "JSNLI Version 1.1 のデータセットのうち、フィルタリング後の訓練セット (train_w_filtering)", + "url": "https://huggingface.co./datasets/llm-book/jsnli", + "project_name": "jsnli", + "downloads": 51, "source": "Hugging Face", - "score": -0.10767132447797895, - "first_commit": "2023-12-27 11:18:45", - "latest_commit": "2023-12-27 12:07:30", + "score": -0.11364461828379468, + "first_commit": "2023-06-19 12:31:46", + "latest_commit": "2023-10-25 15:22:46", "languages": [], - "model_or_dataset": "model", - "model_size": null + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null }, { - "description": "Chat & support: TheBloke's Discord server Want to contribute?", - "url": "https://huggingface.co./TheBloke/japanese-stablelm-instruct-beta-70B-GPTQ", - "project_name": "japanese-stablelm-instruct-beta-70B-GPTQ", - "downloads": 43, + "description": "mathstral-7B-v0.1-gguf mistralaiさんが公開しているmathstral-7B-v0.1のggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/mathstral-7B-v0.1-gguf", + "project_name": "mathstral-7B-v0.1-gguf", + "downloads": 50, "source": "Hugging Face", - "score": -0.10768637423988034, - "first_commit": "2023-11-02 15:45:24", - "latest_commit": "2023-11-02 20:04:07", + "score": -0.1136603296404889, + "first_commit": "2024-07-17 17:49:56", + "latest_commit": "2024-07-17 18:54:27", "languages": [], "model_or_dataset": "model", - "model_size": 9.1 + "model_size": 7.25, + "model_architectures": null }, { - "description": "Japanese-LLaMA-3-8B-Instruct-v2-GGUF Japanese-LLaMA-3-8B-Instruct-v2-GGUFはJapanese-LLaMA-3-8B-Instruct-v2のGGUF形式です。 ", - "url": "https://huggingface.co./owner203/japanese-llama-3-8b-instruct-v2-gguf", - "project_name": "japanese-llama-3-8b-instruct-v2-gguf", - "downloads": 42, + "description": "matsuolab-weblab-10b-instruction-sft-gguf matsuo-labさんが公開しているweblab-10b-instruction-sftのggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/matsuolab-weblab-10b-instruction-sft-gguf", + "project_name": "matsuolab-weblab-10b-instruction-sft-gguf", + "downloads": 49, "source": "Hugging Face", - "score": -0.10770142400178173, - "first_commit": "2024-06-10 11:21:01", - "latest_commit": "2024-06-21 06:35:03", + "score": -0.11367604099718312, + "first_commit": "2023-08-21 11:22:48", + "latest_commit": "2023-09-02 18:16:33", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": 10.7, + "model_architectures": null }, { - "description": "Danbooru2023:", - "url": "https://huggingface.co./datasets/nyanko7/danbooru2023", - "project_name": "danbooru2023", - "downloads": 42, + "description": "Oumuamua-7b-instruct This is a merge of pre-trained language models created using mergekit. ", + "url": "https://huggingface.co./nitky/Oumuamua-7b-instruct", + "project_name": "Oumuamua-7b-instruct", + "downloads": 49, "source": "Hugging Face", - "score": -0.10770142400178173, - "first_commit": "2024-01-07 19:51:58", - "latest_commit": "2024-05-22 18:43:24", + "score": -0.11367604099718312, + "first_commit": "2024-06-01 10:40:37", + "latest_commit": "2024-06-01 15:55:51", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": 7.33, + "model_architectures": "MistralForCausalLM" }, { - "description": "ShareGPT-Processed The RyokoAI/ShareGPT52K dataset, converted to Markdown and labeled with the language used.", - "url": "https://huggingface.co./datasets/zetavg/ShareGPT-Processed", - "project_name": "ShareGPT-Processed", - "downloads": 42, + "description": "japanese-large-lm-1.7b-instruction-sft-8bit-1g-actorder_True", + "url": "https://huggingface.co./line-corporation/japanese-large-lm-1.7b-instruction-sft-8bit-1g-actorder_True", + "project_name": "japanese-large-lm-1.7b-instruction-sft-8bit-1g-actorder_True", + "downloads": 48, "source": "Hugging Face", - "score": -0.10770142400178173, - "first_commit": "2023-05-16 19:50:04", - "latest_commit": "2023-05-21 03:50:14", + "score": -0.11369175235387734, + "first_commit": "2023-09-26 06:15:31", + "latest_commit": "2023-09-29 03:09:03", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": 0.625, + "model_architectures": "GPT2LMHeadModel" }, { - "description": "This dataset is a clarified version of the image, context, and question set included in the Japanese-Heron-Bench for the construction of the Japanese evaluation benchmark suite.", - "url": "https://huggingface.co./datasets/Silviase/Japanese-Heron-Bench", - "project_name": "Japanese-Heron-Bench", - "downloads": 42, + "description": "Japanese-LLaMA-2-7B-GGUF Japanese-LLaMA-2-7B-GGUFはJapanese-LLaMA-2-7BのGGUF形式です。 ", + "url": "https://huggingface.co./owner203/japanese-llama-2-7b-gguf", + "project_name": "japanese-llama-2-7b-gguf", + "downloads": 48, "source": "Hugging Face", - "score": -0.10770142400178173, - "first_commit": "2024-07-16 08:12:30", - "latest_commit": "2024-07-28 12:33:15", + "score": -0.11369175235387734, + "first_commit": "2024-01-22 03:00:02", + "latest_commit": "2024-06-05 02:30:01", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": 6.97, + "model_architectures": null }, { - "description": "cosmopedia-100k のindex 20k ～ 100k を日本語に自動翻訳したデータになります（テキストが長すぎて翻訳エラーになったレコードは除外しています）。", - "url": "https://huggingface.co./datasets/kunishou/cosmopedia-100k-ja-preview", - "project_name": "cosmopedia-100k-ja-preview", - "downloads": 42, + "description": "英語+日本語T5事前学習済みモデル This is a T5 (Text-to-Text Transfer Transformer) model pretrained on English and Japanese balanced corpus. ", + "url": "https://huggingface.co./sonoisa/t5-base-english-japanese", + "project_name": "t5-base-english-japanese", + "downloads": 48, "source": "Hugging Face", - "score": -0.10770142400178173, - "first_commit": "2024-02-28 07:58:55", - "latest_commit": "2024-03-05 23:30:38", + "score": -0.11369175235387734, + "first_commit": "2022-07-28 11:31:28", + "latest_commit": "2022-08-27 09:07:53", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": null, + "model_architectures": "T5ForConditionalGeneration" }, { - "description": "ELECTRA base Japanese discriminator This is a ELECTRA model pretrained on texts in the Japanese language.", - "url": "https://huggingface.co./izumi-lab/electra-base-japanese-discriminator", - "project_name": "electra-base-japanese-discriminator", - "downloads": 41, + "description": "bert-base-japanese-v3-bpr-question-aio 「大規模言語モデル入門」の第9章で紹介している文書検索モデルBPRの質問エンコーダです。 ", + "url": "https://huggingface.co./llm-book/bert-base-japanese-v3-bpr-question-aio", + "project_name": "bert-base-japanese-v3-bpr-question-aio", + "downloads": 47, "source": "Hugging Face", - "score": -0.10771647376368312, - "first_commit": "2021-11-15 17:39:41", - "latest_commit": "2022-12-09 00:43:19", + "score": -0.11370746371057155, + "first_commit": "2023-06-06 08:21:13", + "latest_commit": "2023-07-24 07:12:05", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "BertModel" }, { - "description": "Kokuwa lamettaの改良でマージさせるモデル探しをしていたらKiwiMixという面白そうなモデルを見つけました。 ", - "url": "https://huggingface.co./Lasorco/Kokuwa", - "project_name": "Kokuwa", - "downloads": 41, + "description": "SambaLingo-Japanese-Chat SambaLingo-Japanese-Chat is a human aligned chat model trained in Japanese and English.", + "url": "https://huggingface.co./LoneStriker/SambaLingo-Japanese-Chat-GGUF", + "project_name": "SambaLingo-Japanese-Chat-GGUF", + "downloads": 47, "source": "Hugging Face", - "score": -0.10771647376368312, - "first_commit": "2023-10-24 14:10:27", - "latest_commit": "2023-10-26 04:22:46", + "score": -0.11370746371057155, + "first_commit": "2024-03-07 06:38:01", + "latest_commit": "2024-03-07 06:48:27", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 6.95, + "model_architectures": null }, { - "description": "Wikipedia日本語版データセット(izumi-lab/wikipedia-ja-20230720)", - "url": "https://huggingface.co./datasets/shi3z/Japanese_Wikipedia_Conversation", - "project_name": "Japanese_Wikipedia_Conversation", - "downloads": 41, + "description": "名言推論モデル", + "url": "https://huggingface.co./Momerio/meigen_generate_Japanese", + "project_name": "meigen_generate_Japanese", + "downloads": 47, "source": "Hugging Face", - "score": -0.10771647376368312, - "first_commit": "2023-11-10 07:36:40", - "latest_commit": "2023-11-10 22:46:29", + "score": -0.11370746371057155, + "first_commit": "2021-10-13 15:30:14", + "latest_commit": "2021-10-26 01:19:59", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": null, + "model_architectures": "GPT2LMHeadModel" }, { - "description": "nlp-waseda/roberta-large-japanese-with-auto-jumanpp Model description", - "url": "https://huggingface.co./nlp-waseda/roberta-large-japanese-with-auto-jumanpp", - "project_name": "roberta-large-japanese-with-auto-jumanpp", - "downloads": 39, + "description": "roberta_qa_japanese (Japanese caption : 日本語の (抽出型) 質問応答のモデル)", + "url": "https://huggingface.co./tsmatz/roberta_qa_japanese", + "project_name": "roberta_qa_japanese", + "downloads": 46, "source": "Hugging Face", - "score": -0.10774657328748591, - "first_commit": "2022-10-15 05:40:40", - "latest_commit": "2022-10-21 15:55:27", + "score": -0.11372317506726577, + "first_commit": "2022-12-11 03:41:07", + "latest_commit": "2024-07-12 00:00:07", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.11, + "model_architectures": "RobertaForQuestionAnswering" }, { - "description": "alabnii/jmedroberta-base-manbyo-wordpiece-vocab50000 Model description This is a Japanese RoBERTa base model pre-trained on academic articles in medical sciences collected by Japan Science and Technology Agency (JST).", - "url": "https://huggingface.co./alabnii/jmedroberta-base-manbyo-wordpiece-vocab50000", - "project_name": "jmedroberta-base-manbyo-wordpiece-vocab50000", - "downloads": 39, + "description": "Dataset Summary SNOW T15:The simplified corpus for the Japanese language.", + "url": "https://huggingface.co./datasets/SNOW-NLP/snow_simplified_japanese_corpus", + "project_name": "snow_simplified_japanese_corpus", + "downloads": 46, "source": "Hugging Face", - "score": -0.10774657328748591, - "first_commit": "2022-12-22 17:19:15", - "latest_commit": "2023-03-08 01:47:12", + "score": -0.11372317506726577, + "first_commit": "2022-01-25 16:36:23", + "latest_commit": "2024-01-18 11:16:01", "languages": [], - "model_or_dataset": "model", - "model_size": null + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null }, { - "description": "Ninja-v1-RP-expressive GGUF版はこちら/Click here for the GGUF version 概要 This is a merge of pre-trained language models created using mergekit. ", - "url": "https://huggingface.co./Aratako/Ninja-v1-RP-expressive", - "project_name": "Ninja-v1-RP-expressive", - "downloads": 39, + "description": "275.86Mのmixtralを日本語データセットでpretrainingしたものです sample from transformers import AutoTokenizer, AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained(\"if001/tiny_mixtral_ja\")", + "url": "https://huggingface.co./hibikaze/tiny_mixtral_ja_with_tokenizer", + "project_name": "tiny_mixtral_ja_with_tokenizer", + "downloads": 45, "source": "Hugging Face", - "score": -0.10774657328748591, - "first_commit": "2024-05-21 12:11:38", - "latest_commit": "2024-05-24 15:11:43", + "score": -0.11373888642395999, + "first_commit": "2024-07-20 05:30:59", + "latest_commit": "2024-07-20 05:33:38", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": 0.276, + "model_architectures": "MixtralForCausalLM" }, { - "description": "karasu-lora-jp-qa-chat karasu fine tuned model by lora method with the original Q&A dataset.", - "url": "https://huggingface.co./aipib/karasu-lora-jp-qa-chat", - "project_name": "karasu-lora-jp-qa-chat", - "downloads": 38, + "description": "Overview of bert-japanese-12M The bert-japanese-12M model is a transformer-based model with BERT architecture, which is designed to be used on Japanese text.", + "url": "https://huggingface.co./nptdat/bert-japanese-12M", + "project_name": "bert-japanese-12M", + "downloads": 45, "source": "Hugging Face", - "score": -0.1077616230493873, - "first_commit": "2024-04-24 02:26:58", - "latest_commit": "2024-06-03 01:02:33", + "score": -0.11373888642395999, + "first_commit": "2024-08-16 16:46:49", + "latest_commit": "2024-08-19 02:56:14", "languages": [], "model_or_dataset": "model", - "model_size": 1.1 + "model_size": null, + "model_architectures": "BertForMaskedLM" }, { - "description": "bert-base-japanese-v3-bpr-passage-aio 「大規模言語モデル入門」の第9章で紹介している文書検索モデルBPRのパッセージエンコーダです。 ", - "url": "https://huggingface.co./llm-book/bert-base-japanese-v3-bpr-passage-aio", - "project_name": "bert-base-japanese-v3-bpr-passage-aio", - "downloads": 37, + "description": "japanese-large-lm-3.6b-instruction-sft-4bit-32g-actorder_False", + "url": "https://huggingface.co./line-corporation/japanese-large-lm-3.6b-instruction-sft-4bit-32g-actorder_False", + "project_name": "japanese-large-lm-3.6b-instruction-sft-4bit-32g-actorder_False", + "downloads": 44, "source": "Hugging Face", - "score": -0.10777667281128869, - "first_commit": "2023-06-06 08:22:28", - "latest_commit": "2023-07-24 07:14:59", + "score": -0.1137545977806542, + "first_commit": "2023-09-26 06:15:51", + "latest_commit": "2023-09-27 23:56:05", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.861, + "model_architectures": "GPTNeoXForCausalLM" }, { - "description": "rinna/japanese-data2vec-audio-base Overview This is a Japanese data2vec Audio Base model trained by rinna Co.", - "url": "https://huggingface.co./rinna/japanese-data2vec-audio-base", - "project_name": "japanese-data2vec-audio-base", - "downloads": 37, + "description": "BERT for Sentiment Analysis of Japanese Twitter", + "url": "https://huggingface.co./LoneWolfgang/bert-for-japanese-twitter-sentiment", + "project_name": "bert-for-japanese-twitter-sentiment", + "downloads": 44, "source": "Hugging Face", - "score": -0.10777667281128869, - "first_commit": "2024-03-05 10:32:32", - "latest_commit": "2024-07-22 08:12:56", + "score": -0.1137545977806542, + "first_commit": "2024-05-13 10:19:52", + "latest_commit": "2024-08-09 12:03:25", "languages": [], "model_or_dataset": "model", - "model_size": 0.0932 + "model_size": 0.111, + "model_architectures": "BertForSequenceClassification" }, { - "description": "mlx-community/Llama-3.1-70B-Japanese-Instruct-2407-4bit", - "url": "https://huggingface.co./mlx-community/Llama-3.1-70B-Japanese-Instruct-2407-4bit", - "project_name": "Llama-3.1-70B-Japanese-Instruct-2407-4bit", - "downloads": 37, + "description": "japanese-large-lm-1.7b-instruction-sft-4bit-32g-actorder_False", + "url": "https://huggingface.co./line-corporation/japanese-large-lm-1.7b-instruction-sft-4bit-32g-actorder_False", + "project_name": "japanese-large-lm-1.7b-instruction-sft-4bit-32g-actorder_False", + "downloads": 44, "source": "Hugging Face", - "score": -0.10777667281128869, - "first_commit": "2024-07-26 21:06:54", - "latest_commit": "2024-07-26 21:37:02", + "score": -0.1137545977806542, + "first_commit": "2023-09-26 06:14:25", + "latest_commit": "2023-09-27 01:23:34", "languages": [], "model_or_dataset": "model", - "model_size": 11.0 + "model_size": 0.487, + "model_architectures": "GPT2LMHeadModel" }, { - "description": "Google's mt5-base fine-tuned in Japanese to solve error detection and correction task. ", - "url": "https://huggingface.co./kz/mt5base-finetuned-ECC-japanese-small", - "project_name": "mt5base-finetuned-ECC-japanese-small", - "downloads": 37, + "description": "Mixtral-8x7B-v0.1-japanese Mixtral-8x7B-v0.1-japaneseはMixtral-8x7B-v0.1をベースに日本語の語彙拡張継続事前学習を実施したモデルです。", + "url": "https://huggingface.co./abeja/Mixtral-8x7B-v0.1-japanese", + "project_name": "Mixtral-8x7B-v0.1-japanese", + "downloads": 43, "source": "Hugging Face", - "score": -0.10777667281128869, - "first_commit": "2021-03-21 19:07:13", - "latest_commit": "2022-05-26 13:50:56", + "score": -0.11377030913734842, + "first_commit": "2024-04-16 03:06:14", + "latest_commit": "2024-04-20 09:14:10", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 46.9, + "model_architectures": "MixtralForCausalLM" }, { - "description": "J-ResearchCorpus Update: 2024/3/16言語処理学会第30回年次大会(NLP2024)を含む、論文 1,343 本のデータを追加 2024/2/25言語処理学会誌「自然言語処理」のうち CC-BY-4.0 で公開されている論文 360 本のデータを追加 概要 CC-BY-* ライセンスで公開されている日本語論文や学会誌等から抜粋した高品質なテキストのデータセットです。", - "url": "https://huggingface.co./datasets/kunishou/J-ResearchCorpus", - "project_name": "J-ResearchCorpus", - "downloads": 37, + "description": "bert-base-japanese-v3-jcommonsenseqa 「大規模言語モデル入門」の第5章で紹介している(多肢選択式質問応答)のモデルです。 ", + "url": "https://huggingface.co./llm-book/bert-base-japanese-v3-jcommonsenseqa", + "project_name": "bert-base-japanese-v3-jcommonsenseqa", + "downloads": 43, "source": "Hugging Face", - "score": -0.10777667281128869, - "first_commit": "2024-02-12 14:03:42", - "latest_commit": "2024-03-16 07:55:08", + "score": -0.11377030913734842, + "first_commit": "2023-06-20 07:01:53", + "latest_commit": "2023-07-24 06:49:16", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": null, + "model_architectures": "BertForMultipleChoice" }, { - "description": "japanese-gpt-1b-PII-masking Model Description japanese-gpt-1b-PII-masking は、 日本語事前学習済み1B GPTモデルをベースとして、日本語の文章から個人情報をマスキングするように学習したモデルです。 ", - "url": "https://huggingface.co./cameltech/japanese-gpt-1b-PII-masking", - "project_name": "japanese-gpt-1b-PII-masking", - "downloads": 36, + "description": "ELECTRA base Japanese discriminator This is a ELECTRA model pretrained on texts in the Japanese language.", + "url": "https://huggingface.co./izumi-lab/electra-base-japanese-discriminator", + "project_name": "electra-base-japanese-discriminator", + "downloads": 42, "source": "Hugging Face", - "score": -0.10779172257319009, - "first_commit": "2024-04-05 07:26:29", - "latest_commit": "2024-05-17 11:42:00", + "score": -0.11378602049404264, + "first_commit": "2021-11-15 17:39:41", + "latest_commit": "2022-12-09 00:43:19", "languages": [], "model_or_dataset": "model", - "model_size": 1.3 + "model_size": null, + "model_architectures": "ElectraForPreTraining" }, { - "description": "Ninja-v1-RP GGUF版はこちら/Click here for the GGUF version 概要 This is a merge of pre-trained language models created using mergekit. ", - "url": "https://huggingface.co./Aratako/Ninja-v1-RP", - "project_name": "Ninja-v1-RP", - "downloads": 35, + "description": "Japanese to Korean translator Japanese to Korean translator model based on EncoderDecoderModel(bert-japanese+kogpt2)", + "url": "https://huggingface.co./sappho192/aihub-ja-ko-translator", + "project_name": "aihub-ja-ko-translator", + "downloads": 42, "source": "Hugging Face", - "score": -0.10780677233509148, - "first_commit": "2024-05-20 13:04:23", - "latest_commit": "2024-05-24 15:10:41", + "score": -0.11378602049404264, + "first_commit": "2024-02-05 00:51:47", + "latest_commit": "2024-06-28 06:38:39", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": 0.265, + "model_architectures": "EncoderDecoderModel" }, { - "description": "This is my conversion of NilanE/ParallelFiction-Ja_En-100k into json which can be read by text-generation-webui when training a model.", - "url": "https://huggingface.co./datasets/mpasila/ParallelFiction-Ja_En-100k-json", - "project_name": "ParallelFiction-Ja_En-100k-json", - "downloads": 35, + "description": "cosmopedia-100k のindex 20k ～ 100k を日本語に自動翻訳したデータになります（テキストが長すぎて翻訳エラーになったレコードは除外しています）。", + "url": "https://huggingface.co./datasets/kunishou/cosmopedia-100k-ja-preview", + "project_name": "cosmopedia-100k-ja-preview", + "downloads": 42, "source": "Hugging Face", - "score": -0.10780677233509148, - "first_commit": "2024-03-26 06:08:27", - "latest_commit": "2024-04-02 04:46:10", + "score": -0.11378602049404264, + "first_commit": "2024-02-28 07:58:55", + "latest_commit": "2024-03-05 23:30:38", "languages": [], "model_or_dataset": "dataset", - "model_size": null + "model_size": null, + "model_architectures": null }, { - "description": "llm-japanese-dataset-vanilla LLM構築用の日本語チャットデータセット izumi-lab/llm-japanese-dataset から，日英翻訳のデータセット等を抜いたものです． ", - "url": "https://huggingface.co./datasets/izumi-lab/llm-japanese-dataset-vanilla", - "project_name": "llm-japanese-dataset-vanilla", - "downloads": 35, + "description": "Heron BLIP Japanese StableLM", + "url": "https://huggingface.co./turing-motors/heron-chat-blip-ja-stablelm-base-7b-v1", + "project_name": "heron-chat-blip-ja-stablelm-base-7b-v1", + "downloads": 41, "source": "Hugging Face", - "score": -0.10780677233509148, - "first_commit": "2023-05-23 14:45:27", - "latest_commit": "2024-02-17 16:17:18", + "score": -0.11380173185073686, + "first_commit": "2024-02-20 11:32:57", + "latest_commit": "2024-02-27 13:57:20", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": null, + "model_architectures": "VideoBlipForConditionalGeneration" }, { - "description": "Model Trained Using AutoNLP Problem type: Binary Classification Model ID: 59362 Validation Metrics Loss: 0.13092292845249176 Accuracy: 0.9527127414314258 Precision: 0.9634070704982427 Recall: 0.9842171959602166 AUC: 0.9667289746092403 F1: 0.9737009564152002 Usage You can use cURL to access this model: $ curl -X POST -H \"Authorization: Bearer YOUR_API_KEY\" -H \"Content-Type: application/json\" -d '{\"inputs\": \"I love AutoNLP\"}' https://api-inference.huggingface.co/models/abhishek/autonlp-japanese-sentiment-5936", - "url": "https://huggingface.co./abhishek/autonlp-japanese-sentiment-59362", - "project_name": "autonlp-japanese-sentiment-59362", - "downloads": 34, + "description": "Wikipedia日本語版データセット(izumi-lab/wikipedia-ja-20230720)", + "url": "https://huggingface.co./datasets/shi3z/Japanese_Wikipedia_Conversation", + "project_name": "Japanese_Wikipedia_Conversation", + "downloads": 41, "source": "Hugging Face", - "score": -0.10782182209699287, - "first_commit": "2021-04-21 11:28:11", - "latest_commit": "2021-05-18 22:55:03", + "score": -0.11380173185073686, + "first_commit": "2023-11-10 07:36:40", + "latest_commit": "2023-11-10 22:46:29", "languages": [], - "model_or_dataset": "model", - "model_size": null + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null }, { - "description": "jpn-msa source group: Japanese target group: Malay (macrolanguage) OPUS readme: jpn-msa model: transformer-align source language(s): jpn jpn_Hani jpn_Hira jpn_Kana target language(s): ind", - "url": "https://huggingface.co./Helsinki-NLP/opus-mt-ja-ms", - "project_name": "opus-mt-ja-ms", - "downloads": 34, + "description": "モデル ベースモデル：microsoft/Phi-3-mini-4k-instruct 学習データセット：llm-jp/hh-rlhf-12k-ja 学習方式：フルパラメータチューニング サンプ�� import torch from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained( \"ryota39/Phi-3-mini-4k-instruct-dpo\", trust_remote_code=True, ) model = AutoModelForCausalLM.from_pretrained( \"ryota39/Phi-3-mini-4k-instruct-dpo\", device_map=\"auto\", torch_dtype='auto', trust_remote_code=True, ) text = \"<|user|>\\n与えられた質問に対して英語で思考し、日本語で答えてください。", + "url": "https://huggingface.co./ryota39/Phi-3-mini-4k-instruct-dpo", + "project_name": "Phi-3-mini-4k-instruct-dpo", + "downloads": 40, "source": "Hugging Face", - "score": -0.10782182209699287, - "first_commit": "2020-08-19 00:29:11", - "latest_commit": "2023-08-16 11:59:16", + "score": -0.11381744320743108, + "first_commit": "2024-04-24 16:21:32", + "latest_commit": "2024-05-01 07:41:46", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 3.82, + "model_architectures": "Phi3ForCausalLM" }, { - "description": "English - Japanese pairs taken from https://tatoeba.org/en/downloads and then deduplicated.", - "url": "https://huggingface.co./datasets/Verah/tatoeba_dedupe_en-jp_2024-March-01", - "project_name": "tatoeba_dedupe_en-jp_2024-March-01", - "downloads": 34, + "description": "line-corporation/japanese-large-lm-3.6b line-corporationさんが公開しているjapanese-large-lm-3.6bのgguf変換版です。 ", + "url": "https://huggingface.co./mmnga/line-corp-japanese-large-lm-3.6b-gguf", + "project_name": "line-corp-japanese-large-lm-3.6b-gguf", + "downloads": 40, "source": "Hugging Face", - "score": -0.10782182209699287, - "first_commit": "2024-03-05 13:46:13", - "latest_commit": "2024-03-06 08:34:02", + "score": -0.11381744320743108, + "first_commit": "2023-09-02 18:18:41", + "latest_commit": "2023-09-08 02:53:05", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": null, + "model_architectures": null }, { - "description": "Heron BLIP Japanese StableLM", - "url": "https://huggingface.co./turing-motors/heron-chat-blip-ja-stablelm-base-7b-v0", - "project_name": "heron-chat-blip-ja-stablelm-base-7b-v0", - "downloads": 33, + "description": "The English document is here. ", + "url": "https://huggingface.co./watashiha/Watashiha-Llama-2-13B-Ogiri-sft", + "project_name": "Watashiha-Llama-2-13B-Ogiri-sft", + "downloads": 40, "source": "Hugging Face", - "score": -0.10783687185889426, - "first_commit": "2023-09-06 09:31:44", - "latest_commit": "2023-09-07 16:59:14", + "score": -0.11381744320743108, + "first_commit": "2024-01-19 06:59:08", + "latest_commit": "2024-03-04 05:24:31", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 13.1, + "model_architectures": "LlamaForCausalLM" }, { - "description": "Model trained on 800,000 Japanese sentences after reducing oshizo/japanese-e5-mistral-7b_slerp to 8 layers.", - "url": "https://huggingface.co./oshizo/japanese-e5-mistral-1.9b", - "project_name": "japanese-e5-mistral-1.9b", - "downloads": 33, + "description": "bert-base-japanese-jsnli This model is a fine-tuned version of cl-tohoku/bert-base-japanese-v2 on the JSNLI dataset.", + "url": "https://huggingface.co./Formzu/bert-base-japanese-jsnli", + "project_name": "bert-base-japanese-jsnli", + "downloads": 39, "source": "Hugging Face", - "score": -0.10783687185889426, - "first_commit": "2024-02-02 12:39:11", - "latest_commit": "2024-02-03 00:28:28", + "score": -0.1138331545641253, + "first_commit": "2022-10-14 07:50:13", + "latest_commit": "2022-10-18 12:13:20", "languages": [], "model_or_dataset": "model", - "model_size": 1.88 + "model_size": null, + "model_architectures": "BertForSequenceClassification" }, { - "description": "JSNLI Version 1.1 のデータセットのうち、フィルタリング後の訓練セット (train_w_filtering)", - "url": "https://huggingface.co./datasets/llm-book/jsnli", - "project_name": "jsnli", - "downloads": 33, + "description": "llm-japanese-dataset-vanilla LLM構築用の日本語チャットデータセット izumi-lab/llm-japanese-dataset から，日英翻訳のデータセット等を抜いたものです． ", + "url": "https://huggingface.co./datasets/izumi-lab/llm-japanese-dataset-vanilla", + "project_name": "llm-japanese-dataset-vanilla", + "downloads": 39, "source": "Hugging Face", - "score": -0.10783687185889426, - "first_commit": "2023-06-19 12:31:46", - "latest_commit": "2023-10-25 15:22:46", + "score": -0.1138331545641253, + "first_commit": "2023-05-23 14:45:27", + "latest_commit": "2024-02-17 16:17:18", "languages": [], "model_or_dataset": "dataset", - "model_size": null + "model_size": null, + "model_architectures": null }, { "description": "cyberagent/calm2-7b-chatの出力を人手でチェック・修正することで作成した日本語Instructionデータセットです。 ", "url": "https://huggingface.co./datasets/Kendamarron/jimba-instuction-1k-beta", "project_name": "jimba-instuction-1k-beta", - "downloads": 33, + "downloads": 38, "source": "Hugging Face", - "score": -0.10783687185889426, + "score": -0.11384886592081951, "first_commit": "2024-02-29 15:23:48", "latest_commit": "2024-04-25 12:49:28", "languages": [], "model_or_dataset": "dataset", - "model_size": null - }, - { - "description": "This is a little bit different version of kunishou/hh-rlhf-49k-ja without ng_translation == 1 examples.", - "url": "https://huggingface.co./datasets/fujiki/japanese_hh-rlhf-49k", - "project_name": "japanese_hh-rlhf-49k", - "downloads": 33, - "source": "Hugging Face", - "score": -0.10783687185889426, - "first_commit": "2023-05-28 05:55:53", - "latest_commit": "2023-05-28 06:08:04", - "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_size": null, + "model_architectures": null }, { - "description": "Synthetic-Japanese-Roleplay-gpt-4o-mini-19.8k 概要 gpt-4o-miniを用いて作成した、約19800件の日本語ロールプレイの対話を収録した合成データセットです。", - "url": "https://huggingface.co./datasets/Aratako/Synthetic-Japanese-Roleplay-gpt-4o-mini-19.8k", - "project_name": "Synthetic-Japanese-Roleplay-gpt-4o-mini-19.8k", - "downloads": 33, + "description": "オリジナルのサイトと同じものを使用しています。 ", + "url": "https://huggingface.co./datasets/llm-book/ja-vicuna-qa-benchmark", + "project_name": "ja-vicuna-qa-benchmark", + "downloads": 38, "source": "Hugging Face", - "score": -0.10783687185889426, - "first_commit": "2024-08-16 14:35:16", - "latest_commit": "2024-08-16 16:45:26", + "score": -0.11384886592081951, + "first_commit": "2024-06-25 22:14:55", + "latest_commit": "2024-08-31 12:37:25", "languages": [], "model_or_dataset": "dataset", - "model_size": null + "model_size": null, + "model_architectures": null }, { - "description": "Model Card for Model ID このモデルはrinna/japanese-gpt-1bをベースモデルとして、 コンテキストからの抽出型QAと、解答を新たなコンテキストでリファインするための学習を行ったモデルです。 ", - "url": "https://huggingface.co./oshizo/qa-refine-japanese-gpt-1b", - "project_name": "qa-refine-japanese-gpt-1b", - "downloads": 32, + "description": "yacis-electra-small-cyberbullying", + "url": "https://huggingface.co./ptaszynski/yacis-electra-small-japanese-cyberbullying", + "project_name": "yacis-electra-small-japanese-cyberbullying", + "downloads": 37, "source": "Hugging Face", - "score": -0.10785192162079565, - "first_commit": "2023-01-18 15:43:39", - "latest_commit": "2023-01-19 10:14:36", + "score": -0.11386457727751373, + "first_commit": "2022-01-12 03:57:13", + "latest_commit": "2022-01-16 13:51:28", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "ElectraForSequenceClassification" }, { - "description": "japanese-sexual-moderation-v2は、studio-ousia/luke-japanese-large-liteをファインチューニングしたモデルです。", - "url": "https://huggingface.co./oshizo/japanese-sexual-moderation-v2", - "project_name": "japanese-sexual-moderation-v2", - "downloads": 32, + "description": "Sarashina2-7B Instruct sarashina2-7Bを会話できるようにフルファインチューニングしたものです。", + "url": "https://huggingface.co./alfredplpl/sarashina2-7b-it", + "project_name": "sarashina2-7b-it", + "downloads": 37, "source": "Hugging Face", - "score": -0.10785192162079565, - "first_commit": "2024-01-03 04:58:17", - "latest_commit": "2024-01-03 07:09:05", + "score": -0.11386457727751373, + "first_commit": "2024-06-12 02:24:28", + "latest_commit": "2024-06-12 03:00:35", "languages": [], "model_or_dataset": "model", - "model_size": 0.41400000000000003 + "model_size": 7.32, + "model_architectures": "LlamaForCausalLM" }, { - "description": "Llama-3-8B-Instruct-JP-nk2t-v0.3 Model Details: Built with Meta Llama 3 llama-3-8bの日本語継続学習モデルにChatVectorを適用し、さらにQLoraでファインチューニングしたモデルです。 ", - "url": "https://huggingface.co./nk2t/Llama-3-8B-Instruct-japanese-nk2t-v0.3", - "project_name": "Llama-3-8B-Instruct-japanese-nk2t-v0.3", - "downloads": 32, + "description": "Model trained on 800,000 Japanese sentences after reducing oshizo/japanese-e5-mistral-7b_slerp to 8 layers.", + "url": "https://huggingface.co./oshizo/japanese-e5-mistral-1.9b", + "project_name": "japanese-e5-mistral-1.9b", + "downloads": 37, "source": "Hugging Face", - "score": -0.10785192162079565, - "first_commit": "2024-05-15 12:24:06", - "latest_commit": "2024-05-22 11:02:28", + "score": -0.11386457727751373, + "first_commit": "2024-02-02 12:39:11", + "latest_commit": "2024-02-03 00:28:28", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": 1.88, + "model_architectures": "MistralForEmbedding" }, { - "description": "Mixtral-8x7B-v0.1-japanese Mixtral-8x7B-v0.1-japaneseはMixtral-8x7B-v0.1をベースに日本語の語彙拡張継続事前学習を実施したモデルです。", - "url": "https://huggingface.co./abeja/Mixtral-8x7B-v0.1-japanese", - "project_name": "Mixtral-8x7B-v0.1-japanese", - "downloads": 32, + "description": "NVIDIA が公開している SteerLM 向けのトライアルデータセット HelpSteerを日本語に自動翻訳したデータセットになります。", + "url": "https://huggingface.co./datasets/kunishou/HelpSteer-35k-ja", + "project_name": "HelpSteer-35k-ja", + "downloads": 36, "source": "Hugging Face", - "score": -0.10785192162079565, - "first_commit": "2024-04-16 03:06:14", - "latest_commit": "2024-04-20 09:14:10", + "score": -0.11388028863420795, + "first_commit": "2024-03-02 16:45:19", + "latest_commit": "2024-03-03 10:10:54", "languages": [], - "model_or_dataset": "model", - "model_size": 46.9 + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null }, { - "description": "rinna/nekomata-14b-gguf Overview The model is the GGUF version of rinna/nekomata-14b.", - "url": "https://huggingface.co./rinna/nekomata-14b-gguf", - "project_name": "nekomata-14b-gguf", - "downloads": 32, + "description": "このモデルはluke-japanese-baseをファインチューニングして、MARC-ja(positive or negativeの二値分類)に用いれるようにしたものです。 ", + "url": "https://huggingface.co./Mizuiro-sakura/luke-japanese-base-marcja", + "project_name": "luke-japanese-base-marcja", + "downloads": 35, "source": "Hugging Face", - "score": -0.10785192162079565, - "first_commit": "2023-12-19 08:11:51", - "latest_commit": "2024-07-20 08:29:58", + "score": -0.11389599999090216, + "first_commit": "2023-03-02 03:57:33", + "latest_commit": "2023-07-21 14:10:48", "languages": [], "model_or_dataset": "model", - "model_size": 14.2 + "model_size": 0.279, + "model_architectures": "LukeForSequenceClassification" }, { - "description": "electra-base-cyberbullying This is a BERT Base model for the Japanese language finetuned for automatic cyberbullying detection.", - "url": "https://huggingface.co./kit-nlp/bert-base-japanese-basic-char-v2-cyberbullying", - "project_name": "bert-base-japanese-basic-char-v2-cyberbullying", - "downloads": 32, + "description": "つくよみちゃんデータセットを用いて calm-2-7b-chat をファインチューニングしたモデルです。", + "url": "https://huggingface.co./offtoung/tsukuyomi-chan-calm2-7b", + "project_name": "tsukuyomi-chan-calm2-7b", + "downloads": 35, "source": "Hugging Face", - "score": -0.10785192162079565, - "first_commit": "2022-09-08 09:09:39", - "latest_commit": "2022-11-01 07:20:52", + "score": -0.11389599999090216, + "first_commit": "2023-12-21 08:46:37", + "latest_commit": "2023-12-27 04:07:20", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 7.01, + "model_architectures": "LlamaForCausalLM" }, { - "description": "Synthetic-JP-EN-Translation-Dataset-Magpie-Nemotron-4-20k Magpieの手法をnvidia/Nemotron-4-340B-Instructに対して適用し作成した、20000件の日⇔英翻訳データセットです。 ", - "url": "https://huggingface.co./datasets/Aratako/Synthetic-JP-EN-Translation-Dataset-Magpie-Nemotron-4-20k", - "project_name": "Synthetic-JP-EN-Translation-Dataset-Magpie-Nemotron-4-20k", - "downloads": 32, + "description": "This is my conversion of NilanE/ParallelFiction-Ja_En-100k into json which can be read by text-generation-webui when training a model.", + "url": "https://huggingface.co./datasets/mpasila/ParallelFiction-Ja_En-100k-json", + "project_name": "ParallelFiction-Ja_En-100k-json", + "downloads": 35, "source": "Hugging Face", - "score": -0.10785192162079565, - "first_commit": "2024-07-07 11:08:34", - "latest_commit": "2024-07-07 11:13:47", + "score": -0.11389599999090216, + "first_commit": "2024-03-26 06:08:27", + "latest_commit": "2024-04-02 04:46:10", "languages": [], "model_or_dataset": "dataset", - "model_size": null - }, - { - "description": "Mixtral-8x7B-Instruct-v0.1-japanese Mixtral-8x7B-Instruct-v0.1-japaneseはMixtral-8x7B-Instruct-v0.1をベースに日本語の語彙拡張継続事前学習を実施したモデルです。", - "url": "https://huggingface.co./abeja/Mixtral-8x7B-Instruct-v0.1-japanese", - "project_name": "Mixtral-8x7B-Instruct-v0.1-japanese", - "downloads": 31, - "source": "Hugging Face", - "score": -0.10786697138269705, - "first_commit": "2024-04-17 02:56:15", - "latest_commit": "2024-04-20 09:14:27", - "languages": [], - "model_or_dataset": "model", - "model_size": 46.9 + "model_size": null, + "model_architectures": null }, { - "description": "モデルの説明(English explanation is below.", - "url": "https://huggingface.co./keitokei1994/Llama-3-Umievo-Shizuko-sqlcoder-2x8B", - "project_name": "Llama-3-Umievo-Shizuko-sqlcoder-2x8B", - "downloads": 31, + "description": "Dataset overview This dataset identifies whether a GitHub repository description pertains to Japanese natural language processing (NLP).", + "url": "https://huggingface.co./datasets/taishi-i/awesome-japanese-nlp-classification-dataset", + "project_name": "awesome-japanese-nlp-classification-dataset", + "downloads": 35, "source": "Hugging Face", - "score": -0.10786697138269705, - "first_commit": "2024-06-09 12:17:00", - "latest_commit": "2024-06-11 07:39:45", + "score": -0.11389599999090216, + "first_commit": "2023-09-09 06:37:36", + "latest_commit": "2023-09-09 20:09:04", "languages": [], - "model_or_dataset": "model", - "model_size": 13.7 + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null }, { - "description": "Japanese Stable Diffusion Pokemon Model Card Stable-Diffusion-Pokemon-ja is a Japanese-specific latent text-to-image diffusion model capable of generating Pokemon images given any text input.", - "url": "https://huggingface.co./svjack/Stable-Diffusion-Pokemon-ja", - "project_name": "Stable-Diffusion-Pokemon-ja", - "downloads": 31, + "description": "Kokuwa lamettaの改良でマージさせるモデル探しをしていたらKiwiMixという面白そうなモデルを見つけました。 ", + "url": "https://huggingface.co./Lasorco/Kokuwa", + "project_name": "Kokuwa", + "downloads": 34, "source": "Hugging Face", - "score": -0.10786697138269705, - "first_commit": "2022-10-30 08:19:13", - "latest_commit": "2023-05-16 09:23:49", + "score": -0.11391171134759638, + "first_commit": "2023-10-24 14:10:27", + "latest_commit": "2023-10-26 04:22:46", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": null }, { - "description": "mqaデータセットのquery--passageのペアについて重複を削除したデータセットです。 ", - "url": "https://huggingface.co./datasets/hpprc/mqa-ja", - "project_name": "mqa-ja", - "downloads": 31, + "description": "English - Japanese pairs taken from https://tatoeba.org/en/downloads and then deduplicated.", + "url": "https://huggingface.co./datasets/Verah/tatoeba_dedupe_en-jp_2024-March-01", + "project_name": "tatoeba_dedupe_en-jp_2024-March-01", + "downloads": 34, "source": "Hugging Face", - "score": -0.10786697138269705, - "first_commit": "2024-04-07 06:23:02", - "latest_commit": "2024-04-07 15:16:42", + "score": -0.11391171134759638, + "first_commit": "2024-03-05 13:46:13", + "latest_commit": "2024-03-06 08:34:02", "languages": [], "model_or_dataset": "dataset", - "model_size": null + "model_size": null, + "model_architectures": null }, { - "description": "日本語T5 Prefix Language Model", - "url": "https://huggingface.co./sonoisa/t5-base-japanese-adapt", - "project_name": "t5-base-japanese-adapt", - "downloads": 30, + "description": "One more step before getting this model.", + "url": "https://huggingface.co./rinna/japanese-stable-diffusion", + "project_name": "japanese-stable-diffusion", + "downloads": 33, "source": "Hugging Face", - "score": -0.10788202114459844, - "first_commit": "2022-08-27 08:51:11", - "latest_commit": "2022-11-05 09:34:10", + "score": -0.1139274227042906, + "first_commit": null, + "latest_commit": null, "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": null }, { - "description": "SambaLingo-Japanese-Chat SambaLingo-Japanese-Chat is a human aligned chat model trained in Japanese and English.", - "url": "https://huggingface.co./sambanovasystems/SambaLingo-Japanese-Chat", - "project_name": "SambaLingo-Japanese-Chat", - "downloads": 30, + "description": "COMET-T5 ja Finetuned T5 on ATOMIC ja using a text-to-text language modeling objective.", + "url": "https://huggingface.co./nlp-waseda/comet-t5-base-japanese", + "project_name": "comet-t5-base-japanese", + "downloads": 33, "source": "Hugging Face", - "score": -0.10788202114459844, - "first_commit": "2024-02-15 22:45:08", - "latest_commit": "2024-04-16 22:32:15", + "score": -0.1139274227042906, + "first_commit": "2022-11-12 15:07:40", + "latest_commit": "2023-02-08 09:26:55", "languages": [], "model_or_dataset": "model", - "model_size": 6.95 + "model_size": null, + "model_architectures": "T5ForConditionalGeneration" }, { - "description": "Mixtral-8x7B-Instruct-v0.1-japanese-alpha-merged Mixtral-8x7B-Instruct-v0.1-japanese-alpha-mergedはMixtral-8x7B-Instruct-v0.1をベースに日本語の語彙拡張継続事前学習を実施した学習途中のモデルに対して、差分マージを実施したモデルです。", - "url": "https://huggingface.co./abeja/Mixtral-8x7B-Instruct-v0.1-japanese-alpha-merged", - "project_name": "Mixtral-8x7B-Instruct-v0.1-japanese-alpha-merged", - "downloads": 30, + "description": "モデル説明 (model explanation) V1 = MoeDiffusion 1.0 + (HassanBlend 1.5 - VMix03) * 0.2 V2 = MoeDiffusion 0.6 : HassanBlend 1.5 0.2 : VMix03 : 0.2 マージ元のルーツにNAIリークやInsta系モデルが含まれるという噂があるので、NAIリークアンチ・Insta系モデルアンチには非推奨 理想の黒髪ポニテ顔が出せるYaguruMagikuを、ある程度顔が近くて制御しやすいAbyssOrangeMix2と混ぜてみた。 ", + "url": "https://huggingface.co./ThePioneer/MoeDiffusionPlusPlus", + "project_name": "MoeDiffusionPlusPlus", + "downloads": 33, "source": "Hugging Face", - "score": -0.10788202114459844, - "first_commit": "2024-04-16 07:54:14", - "latest_commit": "2024-04-20 09:14:59", + "score": -0.1139274227042906, + "first_commit": "2023-01-19 13:04:02", + "latest_commit": "2023-01-21 02:05:54", "languages": [], "model_or_dataset": "model", - "model_size": 46.9 + "model_size": null, + "model_architectures": null }, { - "description": "This is a Japanese sentence-T5 model.", - "url": "https://huggingface.co./sonoisa/sentence-t5-base-ja-mean-tokens", - "project_name": "sentence-t5-base-ja-mean-tokens", - "downloads": 30, + "description": "bert-japanese_finetuned-sentiment-analysis This model was trained from scratch on the Japanese Sentiment Polarity Dictionary dataset.", + "url": "https://huggingface.co./minutillamolinara/bert-japanese_finetuned-sentiment-analysis", + "project_name": "bert-japanese_finetuned-sentiment-analysis", + "downloads": 33, "source": "Hugging Face", - "score": -0.10788202114459844, - "first_commit": "2021-12-27 11:57:10", - "latest_commit": "2022-07-31 07:54:13", + "score": -0.1139274227042906, + "first_commit": "2023-03-31 02:28:09", + "latest_commit": "2023-03-31 13:13:37", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "BertForSequenceClassification" }, { - "description": "JaWiki WikipediaのHTML形式のダンプファイルから抽出したテキストデータセットです。 ", - "url": "https://huggingface.co./datasets/hpprc/jawiki", - "project_name": "jawiki", - "downloads": 30, + "description": "Model card for model ID", + "url": "https://huggingface.co./retrieva-jp/t5-base-short", + "project_name": "t5-base-short", + "downloads": 33, "source": "Hugging Face", - "score": -0.10788202114459844, - "first_commit": "2024-02-02 06:36:01", - "latest_commit": "2024-02-13 15:19:49", + "score": -0.1139274227042906, + "first_commit": "2023-04-26 08:20:52", + "latest_commit": "2023-05-10 10:00:23", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": null, + "model_architectures": "T5ForConditionalGeneration" }, { - "description": "Ninja-v1-RP-expressive-breadcrumbs GGUF版はこちら/Click here for the GGUF version 概要 This is a merge of pre-trained language models created using mergekit. ", - "url": "https://huggingface.co./Aratako/Ninja-v1-RP-expressive-breadcrumbs", - "project_name": "Ninja-v1-RP-expressive-breadcrumbs", - "downloads": 29, + "description": "nlp-waseda/bigbird-base-japanese Model description This is a Japanese BigBird base model pretrained on Japanese Wikipedia, the Japanese portion of CC-100, and the Japanese portion of OSCAR.", + "url": "https://huggingface.co./nlp-waseda/bigbird-base-japanese", + "project_name": "bigbird-base-japanese", + "downloads": 33, "source": "Hugging Face", - "score": -0.10789707090649983, - "first_commit": "2024-05-26 06:36:42", - "latest_commit": "2024-06-01 11:54:18", + "score": -0.1139274227042906, + "first_commit": "2023-06-03 12:51:12", + "latest_commit": "2023-06-20 10:49:17", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": null, + "model_architectures": "BigBirdForMaskedLM" }, { - "description": "zenz-v2 zenz-v2はGPT-2アーキテクチャに基づくかな漢字変換タスクに特化した言語モデルです。", - "url": "https://huggingface.co./Miwa-Keita/zenz-v2-gguf", - "project_name": "zenz-v2-gguf", - "downloads": 29, + "description": "Swallow-8Bは追加の日本語継続事前学習により日本語が大変流暢なLlama-3派生モデルです。", + "url": "https://huggingface.co./aixsatoshi/Meta-Llama-3.1-8B-Instruct-plus-Swallow", + "project_name": "Meta-Llama-3.1-8B-Instruct-plus-Swallow", + "downloads": 33, "source": "Hugging Face", - "score": -0.10789707090649983, - "first_commit": "2024-07-31 15:15:16", - "latest_commit": "2024-08-04 09:35:48", + "score": -0.1139274227042906, + "first_commit": "2024-07-24 03:10:38", + "latest_commit": "2024-07-24 04:03:21", "languages": [], "model_or_dataset": "model", - "model_size": 0.09509999999999999 + "model_size": 8.03, + "model_architectures": "LlamaForCausalLM" }, { - "description": "rinna/nekomata-7b-instruction-gguf Overview The model is the GGUF version of rinna/nekomata-7b-instruction.", - "url": "https://huggingface.co./rinna/nekomata-7b-instruction-gguf", - "project_name": "nekomata-7b-instruction-gguf", - "downloads": 29, + "description": "Japanese-LLaMA-3-8B-Instruct-v2-GGUF Japanese-LLaMA-3-8B-Instruct-v2-GGUFはJapanese-LLaMA-3-8B-Instruct-v2のGGUF形式です。 ", + "url": "https://huggingface.co./owner203/japanese-llama-3-8b-instruct-v2-gguf", + "project_name": "japanese-llama-3-8b-instruct-v2-gguf", + "downloads": 33, "source": "Hugging Face", - "score": -0.10789707090649983, - "first_commit": "2023-12-19 08:11:08", - "latest_commit": "2024-07-20 08:38:34", + "score": -0.1139274227042906, + "first_commit": "2024-06-10 11:21:01", + "latest_commit": "2024-06-21 06:35:03", "languages": [], "model_or_dataset": "model", - "model_size": 7.72 + "model_size": 8.03, + "model_architectures": null }, { - "description": "Genji-JP 6B Please check our blog post for more details, samples, evaluations and more: Blogpost Model Description Genji-JP 6B is a model finetuned on our Japanese storytelling dataset based on EleutherAI's GPT-J 6B model.", - "url": "https://huggingface.co./NovelAI/genji-jp", - "project_name": "genji-jp", - "downloads": 29, + "description": "japanese-gpt-1b-PII-masking Model Description japanese-gpt-1b-PII-masking は、 日本語事前学習済み1B GPTモデルをベースとして、日本語の文章から個人情報をマスキングするように学習したモデルです。 ", + "url": "https://huggingface.co./cameltech/japanese-gpt-1b-PII-masking", + "project_name": "japanese-gpt-1b-PII-masking", + "downloads": 33, "source": "Hugging Face", - "score": -0.10789707090649983, - "first_commit": "2021-11-03 15:07:47", - "latest_commit": "2022-08-09 17:36:02", + "score": -0.1139274227042906, + "first_commit": "2024-04-05 07:26:29", + "latest_commit": "2024-05-17 11:42:00", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 1.3, + "model_architectures": "GPT2LMHeadModel" }, { - "description": "日本語医療固有表現抽出モデル 概要 ソーシャル・コンピューティング研究室さまより公開されているMedTxt-CRを用いて、alabniiさまより公開されているRoBERTaをfine-tuningした固有表現抽出モデルです。 ", - "url": "https://huggingface.co./daisaku-s/medtxt_ner_roberta", - "project_name": "medtxt_ner_roberta", - "downloads": 28, + "description": "This dataset was created by automatically translating \"OpenAssistant/oasst1\" into Japanese.", + "url": "https://huggingface.co./datasets/kunishou/oasst1-89k-ja", + "project_name": "oasst1-89k-ja", + "downloads": 33, "source": "Hugging Face", - "score": -0.10791212066840122, - "first_commit": "2023-02-13 10:48:22", - "latest_commit": "2023-02-15 13:43:48", + "score": -0.1139274227042906, + "first_commit": "2023-05-06 09:12:30", + "latest_commit": "2024-04-01 17:15:31", "languages": [], - "model_or_dataset": "model", - "model_size": null + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null }, { - "description": "Heron GIT Japanese ELYZA Llama 2 Fast 7B Model Details Heron GIT Japanese ELYZA Llama 2 Fast 7B is a vision-language model that can converse about input images.", - "url": "https://huggingface.co./turing-motors/heron-chat-git-ELYZA-fast-7b-v0", - "project_name": "heron-chat-git-ELYZA-fast-7b-v0", - "downloads": 28, + "description": "electra-base-cyberbullying This is a BERT Base model for the Japanese language finetuned for automatic cyberbullying detection.", + "url": "https://huggingface.co./kit-nlp/bert-base-japanese-basic-char-v2-cyberbullying", + "project_name": "bert-base-japanese-basic-char-v2-cyberbullying", + "downloads": 32, "source": "Hugging Face", - "score": -0.10791212066840122, - "first_commit": "2023-09-06 09:04:40", - "latest_commit": "2023-09-11 16:56:39", + "score": -0.11394313406098482, + "first_commit": "2022-09-08 09:09:39", + "latest_commit": "2022-11-01 07:20:52", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "BertForSequenceClassification" }, { - "description": "About This model is Lightblue's QLoRA finetune of OpenOrca's Open-Orca/OpenOrcaxOpenChat-Preview2-13B model on Japanese fine-tuning datasets.", - "url": "https://huggingface.co./lightblue/openorca_stx", - "project_name": "openorca_stx", - "downloads": 28, + "description": "This is a BERT Base model for emotion analysis in Japanese additionally fine-tuned for emotion detection and classification.", + "url": "https://huggingface.co./alter-wang/bert-base-japanese-emotion-lily", + "project_name": "bert-base-japanese-emotion-lily", + "downloads": 32, "source": "Hugging Face", - "score": -0.10791212066840122, - "first_commit": "2023-09-12 09:29:10", - "latest_commit": "2023-10-02 10:25:36", + "score": -0.11394313406098482, + "first_commit": "2024-04-25 06:05:51", + "latest_commit": "2024-06-17 01:44:16", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.111, + "model_architectures": "BertForSequenceClassification" }, { - "description": "nlp-waseda/gpt2-xl-japanese This is Japanese GPT2 with approximately 1.5B parameters pretrained on Japanese Wikipedia and CC-100", - "url": "https://huggingface.co./nlp-waseda/gpt2-xl-japanese", - "project_name": "gpt2-xl-japanese", - "downloads": 28, + "description": "Mixtral-8x7B-Instruct-v0.1-japanese-alpha-merged Mixtral-8x7B-Instruct-v0.1-japanese-alpha-mergedはMixtral-8x7B-Instruct-v0.1をベースに日本語の語彙拡張継続事前学習を実施した学習途中のモデルに対して、差分マージを実施したモデルです。", + "url": "https://huggingface.co./abeja/Mixtral-8x7B-Instruct-v0.1-japanese-alpha-merged", + "project_name": "Mixtral-8x7B-Instruct-v0.1-japanese-alpha-merged", + "downloads": 32, "source": "Hugging Face", - "score": -0.10791212066840122, - "first_commit": "2022-11-30 04:33:31", - "latest_commit": "2023-06-21 04:29:10", + "score": -0.11394313406098482, + "first_commit": "2024-04-16 07:54:14", + "latest_commit": "2024-04-20 09:14:59", "languages": [], "model_or_dataset": "model", - "model_size": 1.61 + "model_size": 46.9, + "model_architectures": "MixtralForCausalLM" }, { - "description": "Dataset Details Dataset Type:Japanese LLaVA v1.5", - "url": "https://huggingface.co./datasets/turing-motors/LLaVA-v1.5-Instruct-620K-JA", - "project_name": "LLaVA-v1.5-Instruct-620K-JA", - "downloads": 28, + "description": "This is a little bit different version of kunishou/hh-rlhf-49k-ja without ng_translation == 1 examples.", + "url": "https://huggingface.co./datasets/fujiki/japanese_hh-rlhf-49k", + "project_name": "japanese_hh-rlhf-49k", + "downloads": 32, "source": "Hugging Face", - "score": -0.10791212066840122, - "first_commit": "2024-04-10 05:04:58", - "latest_commit": "2024-04-12 09:18:42", + "score": -0.11394313406098482, + "first_commit": "2023-05-28 05:55:53", + "latest_commit": "2023-05-28 06:08:04", "languages": [], "model_or_dataset": "dataset", - "model_size": null + "model_size": null, + "model_architectures": null }, { - "description": "GPT-Neo 1.3B pre-trained model for Japanese Model Description GPT2/GPT3 like model trained on Japanese.corpus.", - "url": "https://huggingface.co./yellowback/gpt-neo-japanese-1.3B", - "project_name": "gpt-neo-japanese-1.3B", - "downloads": 27, + "description": "alabnii/jmedroberta-base-manbyo-wordpiece-vocab50000 Model description This is a Japanese RoBERTa base model pre-trained on academic articles in medical sciences collected by Japan Science and Technology Agency (JST).", + "url": "https://huggingface.co./alabnii/jmedroberta-base-manbyo-wordpiece-vocab50000", + "project_name": "jmedroberta-base-manbyo-wordpiece-vocab50000", + "downloads": 31, "source": "Hugging Face", - "score": -0.10792717043030262, - "first_commit": "2021-12-09 08:09:40", - "latest_commit": "2021-12-09 17:59:05", + "score": -0.11395884541767903, + "first_commit": "2022-12-22 17:19:15", + "latest_commit": "2023-03-08 01:47:12", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "BertForMaskedLM" }, { - "description": "Model card for model ID", - "url": "https://huggingface.co./retrieva-jp/t5-xl", - "project_name": "t5-xl", - "downloads": 27, + "description": "rinna/nekomata-14b-gguf Overview The model is the GGUF version of rinna/nekomata-14b.", + "url": "https://huggingface.co./rinna/nekomata-14b-gguf", + "project_name": "nekomata-14b-gguf", + "downloads": 31, "source": "Hugging Face", - "score": -0.10792717043030262, - "first_commit": "2023-04-26 07:19:08", - "latest_commit": "2023-05-10 10:01:04", + "score": -0.11395884541767903, + "first_commit": "2023-12-19 08:11:51", + "latest_commit": "2024-07-20 08:29:58", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 14.2, + "model_architectures": null }, { - "description": "このモデルはcl-tohoku/bert-large-japanese-v2をファインチューニングして、固有表現抽出（NER）に用いれるようにしたものです。 ", - "url": "https://huggingface.co./Mizuiro-sakura/bert-large-japanese-v2-finetuned-ner", - "project_name": "bert-large-japanese-v2-finetuned-ner", - "downloads": 27, + "description": "deberta-base-japanese-juman-ud-goeswith Model Description", + "url": "https://huggingface.co./KoichiYasuoka/deberta-base-japanese-juman-ud-goeswith", + "project_name": "deberta-base-japanese-juman-ud-goeswith", + "downloads": 30, "source": "Hugging Face", - "score": -0.10792717043030262, - "first_commit": "2023-05-26 09:38:08", - "latest_commit": "2023-07-21 14:10:18", + "score": -0.11397455677437325, + "first_commit": "2023-02-05 06:48:32", + "latest_commit": "2023-05-12 01:16:53", "languages": [], "model_or_dataset": "model", - "model_size": 0.336 + "model_size": null, + "model_architectures": "DebertaV2ForTokenClassification" }, { - "description": "t5-base-xlsum-ja", - "url": "https://huggingface.co./p1atdev/t5-base-xlsum-ja", - "project_name": "t5-base-xlsum-ja", - "downloads": 27, + "description": "Orion-14B 🌐English | 🇨", + "url": "https://huggingface.co./OrionStarAI/Orion-14B-LongChat", + "project_name": "Orion-14B-LongChat", + "downloads": 30, "source": "Hugging Face", - "score": -0.10792717043030262, - "first_commit": "2023-10-06 03:18:28", - "latest_commit": "2023-11-20 09:25:16", + "score": -0.11397455677437325, + "first_commit": "2024-01-19 07:15:36", + "latest_commit": "2024-03-26 10:10:34", "languages": [], "model_or_dataset": "model", - "model_size": 0.248 + "model_size": null, + "model_architectures": "OrionForCausalLM" }, { - "description": "Chat & support: TheBloke's Discord server Want to contribute?", - "url": "https://huggingface.co./TheBloke/japanese-stablelm-base-beta-70B-AWQ", - "project_name": "japanese-stablelm-base-beta-70B-AWQ", - "downloads": 27, + "description": "jpn-heb source group: Japanese target group:", + "url": "https://huggingface.co./Helsinki-NLP/opus-mt-ja-he", + "project_name": "opus-mt-ja-he", + "downloads": 30, "source": "Hugging Face", - "score": -0.10792717043030262, - "first_commit": "2023-11-06 11:33:47", - "latest_commit": "2023-11-09 18:16:05", + "score": -0.11397455677437325, + "first_commit": "2020-08-19 00:28:58", + "latest_commit": "2023-08-16 11:59:12", "languages": [], "model_or_dataset": "model", - "model_size": 9.68 + "model_size": null, + "model_architectures": "MarianMTModel" }, { - "description": "rinna/nekomata-7b-gguf Overview The model is the GGUF version of rinna/nekomata-7b.", - "url": "https://huggingface.co./rinna/nekomata-7b-gguf", - "project_name": "nekomata-7b-gguf", - "downloads": 27, + "description": "ShareGPT-Processed The RyokoAI/ShareGPT52K dataset, converted to Markdown and labeled with the language used.", + "url": "https://huggingface.co./datasets/zetavg/ShareGPT-Processed", + "project_name": "ShareGPT-Processed", + "downloads": 30, "source": "Hugging Face", - "score": -0.10792717043030262, - "first_commit": "2023-12-19 08:10:42", - "latest_commit": "2024-07-20 08:36:15", + "score": -0.11397455677437325, + "first_commit": "2023-05-16 19:50:04", + "latest_commit": "2023-05-21 03:50:14", "languages": [], - "model_or_dataset": "model", - "model_size": 7.72 + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null }, { - "description": "モデル説明 (model explanation) V1 = MoeDiffusion 1.0 + (HassanBlend 1.5 - VMix03) * 0.2 V2 = MoeDiffusion 0.6 : HassanBlend 1.5 0.2 : VMix03 : 0.2 マージ元のルーツにNAIリークやInsta系モデルが含まれるという噂があるので、NAIリークアンチ・Insta系モデルアンチには非推奨 理想の黒髪ポニテ顔が出せるYaguruMagikuを、ある程度顔が近くて制御しやすいAbyssOrangeMix2と混ぜてみた。 ", - "url": "https://huggingface.co./ThePioneer/MoeDiffusionPlusPlus", - "project_name": "MoeDiffusionPlusPlus", - "downloads": 27, + "description": "日本語ByT5事前学習済みモデル This is a ByT5 (a tokenizer-free extension of the Text-to-Text Transfer Transformer) model pretrained on Japanese corpus. ", + "url": "https://huggingface.co./sonoisa/byt5-small-japanese", + "project_name": "byt5-small-japanese", + "downloads": 29, "source": "Hugging Face", - "score": -0.10792717043030262, - "first_commit": "2023-01-19 13:04:02", - "latest_commit": "2023-01-21 02:05:54", + "score": -0.11399026813106747, + "first_commit": "2021-06-04 13:14:22", + "latest_commit": "2021-09-23 18:29:53", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "MT5ForConditionGeneration" }, { - "description": "electra-base-cyberbullying This is a BERT Base model for the Japanese language finetuned for automatic cyberbullying detection.", - "url": "https://huggingface.co./kit-nlp/bert-base-japanese-sentiment-cyberbullying", - "project_name": "bert-base-japanese-sentiment-cyberbullying", - "downloads": 27, + "description": "nlp-waseda/gpt2-xl-japanese This is Japanese GPT2 with approximately 1.5B parameters pretrained on Japanese Wikipedia and CC-100", + "url": "https://huggingface.co./nlp-waseda/gpt2-xl-japanese", + "project_name": "gpt2-xl-japanese", + "downloads": 29, "source": "Hugging Face", - "score": -0.10792717043030262, - "first_commit": "2022-09-09 02:16:34", - "latest_commit": "2022-11-01 07:18:05", + "score": -0.11399026813106747, + "first_commit": "2022-11-30 04:33:31", + "latest_commit": "2023-06-21 04:29:10", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 1.61, + "model_architectures": "GPT2LMHeadModel" }, { - "description": "yacis-electra-small-cyberbullying", - "url": "https://huggingface.co./ptaszynski/yacis-electra-small-japanese-cyberbullying", - "project_name": "yacis-electra-small-japanese-cyberbullying", - "downloads": 26, + "description": "This is a model for named entity recognition of Japanese medical documents.", + "url": "https://huggingface.co./sociocom/MedNERN-CR-JA", + "project_name": "MedNERN-CR-JA", + "downloads": 29, "source": "Hugging Face", - "score": -0.10794222019220401, - "first_commit": "2022-01-12 03:57:13", - "latest_commit": "2022-01-16 13:51:28", + "score": -0.11399026813106747, + "first_commit": "2023-04-13 08:25:56", + "latest_commit": "2024-02-26 13:53:06", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.11, + "model_architectures": "BertForTokenClassification" }, { - "description": "Wav2Vec2-Large-XLSR-53-Japanese Fine-tuned facebook/wav2vec2-large-xlsr-53 on Japanese using the Common Voice and Japanese speech corpus of Saruwatari-lab, University of Tokyo JSUT.", - "url": "https://huggingface.co./vumichien/wav2vec2-large-xlsr-japanese", - "project_name": "wav2vec2-large-xlsr-japanese", - "downloads": 26, + "description": "Dataset Details Dataset Type:Japanese LLaVA v1.5", + "url": "https://huggingface.co./datasets/turing-motors/LLaVA-v1.5-Instruct-620K-JA", + "project_name": "LLaVA-v1.5-Instruct-620K-JA", + "downloads": 29, "source": "Hugging Face", - "score": -0.10794222019220401, - "first_commit": "2021-03-28 04:21:20", - "latest_commit": "2023-02-08 00:15:23", + "score": -0.11399026813106747, + "first_commit": "2024-04-10 05:04:58", + "latest_commit": "2024-04-12 09:18:42", "languages": [], - "model_or_dataset": "model", - "model_size": 0.318 + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null }, { - "description": "GPT2 Japanese base model version 2 Prerequisites transformers==4.19.2 Model architecture This model uses GPT2 base setttings except vocabulary size.", - "url": "https://huggingface.co./ClassCat/gpt2-base-japanese-v2", - "project_name": "gpt2-base-japanese-v2", - "downloads": 26, + "description": "mlx-community/Llama-3.1-70B-Japanese-Instruct-2407-4bit", + "url": "https://huggingface.co./mlx-community/Llama-3.1-70B-Japanese-Instruct-2407-4bit", + "project_name": "Llama-3.1-70B-Japanese-Instruct-2407-4bit", + "downloads": 28, "source": "Hugging Face", - "score": -0.10794222019220401, - "first_commit": "2022-06-04 02:30:34", - "latest_commit": "2022-06-25 15:36:22", + "score": -0.11400597948776167, + "first_commit": "2024-07-26 21:06:54", + "latest_commit": "2024-07-26 21:37:02", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 11.0, + "model_architectures": "LlamaForCausalLM" }, { - "description": "英語+日本語T5事前学習済みモデル This is a T5 (Text-to-Text Transfer Transformer) model pretrained on English and Japanese balanced corpus. ", - "url": "https://huggingface.co./sonoisa/t5-base-english-japanese", - "project_name": "t5-base-english-japanese", - "downloads": 26, + "description": "Tanuki-8x8B-dpo-v1.0-GPTQ-8bit 概要 GENIAC 松尾研 LLM開発プロジェクトで開発されたLLMであるweblab-GENIAC/Tanuki-8x8B-dpo-v1.0のGPTQ 8bit量子化モデルです。", + "url": "https://huggingface.co./team-hatakeyama-phase2/Tanuki-8x8B-dpo-v1.0-GPTQ-8bit", + "project_name": "Tanuki-8x8B-dpo-v1.0-GPTQ-8bit", + "downloads": 28, "source": "Hugging Face", - "score": -0.10794222019220401, - "first_commit": "2022-07-28 11:31:28", - "latest_commit": "2022-08-27 09:07:53", + "score": -0.11400597948776167, + "first_commit": "2024-08-28 02:30:27", + "latest_commit": "2024-09-03 09:26:02", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "TanukiForCausalLM" }, { - "description": "Fine-tuned Japanese Whisper model for speech recognition using whisper-base Fine-tuned openai/whisper-base on Japanese using Common Voice, JVS and JSUT.", - "url": "https://huggingface.co./Ivydata/whisper-base-japanese", - "project_name": "whisper-base-japanese", - "downloads": 26, + "description": "luke-large-defamation-detection-japanese 日本語誹謗中傷検出器", + "url": "https://huggingface.co./kubota/luke-large-defamation-detection-japanese", + "project_name": "luke-large-defamation-detection-japanese", + "downloads": 28, "source": "Hugging Face", - "score": -0.10794222019220401, - "first_commit": "2023-05-17 04:36:41", - "latest_commit": "2023-06-08 00:17:50", + "score": -0.11400597948776167, + "first_commit": "2023-01-23 06:25:08", + "latest_commit": "2023-02-07 15:49:33", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "LukeForSequenceClassification" }, { - "description": "Convert from: drewschaub/whisper-large-v3-japanese-4k-steps Whisper large-v3 model for CTranslate2 This repository contains the conversion of drewschaub/whisper-large-v3-japanese-4k-steps to the CTranslate2 model format.", - "url": "https://huggingface.co./JhonVanced/whisper-large-v3-japanese-4k-steps-ct2", - "project_name": "whisper-large-v3-japanese-4k-steps-ct2", - "downloads": 26, + "description": "GPT-Neo 1.3B pre-trained model for Japanese Model Description GPT2/GPT3 like model trained on Japanese.corpus.", + "url": "https://huggingface.co./yellowback/gpt-neo-japanese-1.3B", + "project_name": "gpt-neo-japanese-1.3B", + "downloads": 27, "source": "Hugging Face", - "score": -0.10794222019220401, - "first_commit": "2024-02-20 13:41:17", - "latest_commit": "2024-02-22 01:11:59", + "score": -0.11402169084445589, + "first_commit": "2021-12-09 08:09:40", + "latest_commit": "2021-12-09 17:59:05", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "GPTNeoForCausalLM" }, { - "description": "BERT for Sentiment Analysis of Japanese Twitter", - "url": "https://huggingface.co./LoneWolfgang/bert-for-japanese-twitter-sentiment", - "project_name": "bert-for-japanese-twitter-sentiment", - "downloads": 26, + "description": "Model Card for Japanese character-level GPT-2 Large Model description", + "url": "https://huggingface.co./ku-nlp/gpt2-large-japanese-char", + "project_name": "gpt2-large-japanese-char", + "downloads": 27, "source": "Hugging Face", - "score": -0.10794222019220401, - "first_commit": "2024-05-13 10:19:52", - "latest_commit": "2024-08-09 12:03:25", + "score": -0.11402169084445589, + "first_commit": "2023-12-27 11:18:45", + "latest_commit": "2023-12-27 12:07:30", "languages": [], "model_or_dataset": "model", - "model_size": 0.111 + "model_size": null, + "model_architectures": "GPT2LMHeadModel" }, { - "description": "This model is a merged version of qwen-14b-vntl and Qwen1.5-14B-Chat , aiming for the translation of Japanese context into Chinese.", - "url": "https://huggingface.co./GralchemOz/Qwen1.5-14B-vntl-jp2zh-4.5bpw-h6-exl2", - "project_name": "Qwen1.5-14B-vntl-jp2zh-4.5bpw-h6-exl2", - "downloads": 26, + "description": "モデルの説明(English explanation is below.", + "url": "https://huggingface.co./keitokei1994/Llama-3-Umievo-Shizuko-sqlcoder-2x8B", + "project_name": "Llama-3-Umievo-Shizuko-sqlcoder-2x8B", + "downloads": 27, "source": "Hugging Face", - "score": -0.10794222019220401, - "first_commit": "2024-03-03 02:29:43", - "latest_commit": "2024-03-03 03:17:09", + "score": -0.11402169084445589, + "first_commit": "2024-06-09 12:17:00", + "latest_commit": "2024-06-11 07:39:45", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 13.7, + "model_architectures": "MixtralForCausalLM" }, { - "description": "Deepreneur-blue-lizard Model Description Deepreneur-blue-lizardは、MetaのLlama-2-7bに対して、Wikipediaや書籍等の日本語の学習データを用いて追加事前学習と独自データによるファインチューニングを実施したモデルです。", - "url": "https://huggingface.co./Deepreneur/blue-lizard", - "project_name": "blue-lizard", - "downloads": 26, + "description": "Synthetic-JP-Conversations-Magpie-Nemotron-4-10k Magpieの手法をnvidia/Nemotron-4-340B-Instructに対して適用し作成した、約10000件の日本語instruction tuning用データセットです。 ", + "url": "https://huggingface.co./datasets/Aratako/Synthetic-JP-Conversations-Magpie-Nemotron-4-10k", + "project_name": "Synthetic-JP-Conversations-Magpie-Nemotron-4-10k", + "downloads": 27, "source": "Hugging Face", - "score": -0.10794222019220401, - "first_commit": "2024-02-05 16:29:48", - "latest_commit": "2024-02-12 14:43:33", + "score": -0.11402169084445589, + "first_commit": "2024-07-05 13:53:45", + "latest_commit": "2024-07-05 13:57:08", "languages": [], - "model_or_dataset": "model", - "model_size": 6.74 + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null }, { - "description": "Chat & support: TheBloke's Discord server Want to contribute?", - "url": "https://huggingface.co./TheBloke/japanese-stablelm-instruct-beta-70B-AWQ", - "project_name": "japanese-stablelm-instruct-beta-70B-AWQ", - "downloads": 26, + "description": "読み込み方 from datasets import load_dataset dataset = load_dataset(\"YANS-official/ogiri-debug\", split=\"test\") 概要 大喜利生成の動作確認用データセットです。", + "url": "https://huggingface.co./datasets/YANS-official/ogiri-debug", + "project_name": "ogiri-debug", + "downloads": 27, "source": "Hugging Face", - "score": -0.10794222019220401, - "first_commit": "2023-11-02 15:45:23", - "latest_commit": "2023-11-09 18:16:16", + "score": -0.11402169084445589, + "first_commit": "2024-08-30 04:18:35", + "latest_commit": "2024-08-30 14:52:03", "languages": [], - "model_or_dataset": "model", - "model_size": 9.68 + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null }, { - "description": "日本語でtrainingしたllama2 model size: 417.12M trainingは以下のscript参照https://github.com/Lightning-AI/lit-gpt/tree/main use from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained(\"if001/sentencepiece_ja\", trust_remote_code=True) model = AutoModelForCausalLM.from_pretrained(\"if001/llama2_ja_small\")", - "url": "https://huggingface.co./if001/llama2_ja_small", - "project_name": "llama2_ja_small", + "description": "deberta-large-japanese-wikipedia-luw-upos Model Description", + "url": "https://huggingface.co./KoichiYasuoka/deberta-large-japanese-wikipedia-luw-upos", + "project_name": "deberta-large-japanese-wikipedia-luw-upos", "downloads": 26, "source": "Hugging Face", - "score": -0.10794222019220401, - "first_commit": "2023-10-11 09:11:41", - "latest_commit": "2023-10-14 13:50:54", + "score": -0.1140374022011501, + "first_commit": "2022-07-06 03:15:12", + "latest_commit": "2024-08-20 17:54:58", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "DebertaV2ForTokenClassification" }, { - "description": "luke-large-defamation-detection-japanese 日本語誹謗中傷検出器", - "url": "https://huggingface.co./kubota/luke-large-defamation-detection-japanese", - "project_name": "luke-large-defamation-detection-japanese", + "description": "nlp-waseda/roberta-large-japanese-with-auto-jumanpp Model description", + "url": "https://huggingface.co./nlp-waseda/roberta-large-japanese-with-auto-jumanpp", + "project_name": "roberta-large-japanese-with-auto-jumanpp", "downloads": 26, "source": "Hugging Face", - "score": -0.10794222019220401, - "first_commit": "2023-01-23 06:25:08", - "latest_commit": "2023-02-07 15:49:33", + "score": -0.1140374022011501, + "first_commit": "2022-10-15 05:40:40", + "latest_commit": "2022-10-21 15:55:27", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "RobertaForMaskedLM" }, { - "description": "deberta-large-japanese-wikipedia Model Description", - "url": "https://huggingface.co./KoichiYasuoka/deberta-large-japanese-wikipedia", - "project_name": "deberta-large-japanese-wikipedia", + "description": "Deepreneur-blue-lizard Model Description Deepreneur-blue-lizardは、MetaのLlama-2-7bに対して、Wikipediaや書籍等の日本語の学習データを用いて追加事前学習と独自データによるファインチューニングを実施したモデルです。", + "url": "https://huggingface.co./Deepreneur/blue-lizard", + "project_name": "blue-lizard", "downloads": 26, "source": "Hugging Face", - "score": -0.10794222019220401, - "first_commit": "2022-07-05 22:01:16", - "latest_commit": "2023-02-27 10:15:35", + "score": -0.1140374022011501, + "first_commit": "2024-02-05 16:29:48", + "latest_commit": "2024-02-12 14:43:33", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 6.74, + "model_architectures": "LlamaForCausalLM" }, { - "description": "nlp-waseda/gpt2-small-japanese This model is Japanese GPT-2 pretrained on Japanese Wikipedia and CC-100.", - "url": "https://huggingface.co./nlp-waseda/gpt2-small-japanese", - "project_name": "gpt2-small-japanese", + "description": "Mistral-Large-Instruct-2407-gguf mistralaiさんが公開しているMistral-Large-Instruct-2407のggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/Mistral-Large-Instruct-2407-gguf", + "project_name": "Mistral-Large-Instruct-2407-gguf", "downloads": 26, "source": "Hugging Face", - "score": -0.10794222019220401, - "first_commit": "2022-03-30 03:34:11", - "latest_commit": "2022-03-30 04:28:17", + "score": -0.1140374022011501, + "first_commit": "2024-07-24 18:59:58", + "latest_commit": "2024-07-26 12:21:45", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 123.0, + "model_architectures": null }, { - "description": "alpaca_jp_python alpaca_jp_pythonは、 Stanford Alpacaの手法 mistralai/Mixtral-8x22B-Instruct-v0.1 で作った合成データ(Synthetic data)です。", - "url": "https://huggingface.co./datasets/HachiML/alpaca_jp_python", - "project_name": "alpaca_jp_python", + "description": "データセットについて オープンソースLLMの出力を人手でチェック・修正したinstructionにSwallow-MXでoutputを生成したデータセットです。 ", + "url": "https://huggingface.co./datasets/Kendamarron/pret-a-porter-instruction-v0.1", + "project_name": "pret-a-porter-instruction-v0.1", "downloads": 26, "source": "Hugging Face", - "score": -0.10794222019220401, - "first_commit": "2024-05-16 02:02:09", - "latest_commit": "2024-05-20 01:44:32", + "score": -0.1140374022011501, + "first_commit": "2024-03-26 13:08:14", + "latest_commit": "2024-04-01 04:30:44", "languages": [], "model_or_dataset": "dataset", - "model_size": null + "model_size": null, + "model_architectures": null }, { - "description": "このモデルはluke-japanese-baseをファインチューニングして、MARC-ja(positive or negativeの二値分類)に用いれるようにしたものです。 ", - "url": "https://huggingface.co./Mizuiro-sakura/luke-japanese-base-marcja", - "project_name": "luke-japanese-base-marcja", + "description": "BERT large Japanese (character-level tokenization with whole word masking, jawiki-20200831)", + "url": "https://huggingface.co./tohoku-nlp/bert-large-japanese-char", + "project_name": "bert-large-japanese-char", "downloads": 25, "source": "Hugging Face", - "score": -0.1079572699541054, - "first_commit": "2023-03-02 03:57:33", - "latest_commit": "2023-07-21 14:10:48", + "score": -0.11405311355784432, + "first_commit": "2021-03-05 06:36:24", + "latest_commit": "2021-09-23 15:45:39", "languages": [], "model_or_dataset": "model", - "model_size": 0.279 + "model_size": null, + "model_architectures": "BertForMaskedLM" }, { - "description": "Model card for model ID", - "url": "https://huggingface.co./retrieva-jp/t5-base-short", - "project_name": "t5-base-short", + "description": "t5-base-xlsum-ja", + "url": "https://huggingface.co./p1atdev/t5-base-xlsum-ja", + "project_name": "t5-base-xlsum-ja", "downloads": 25, "source": "Hugging Face", - "score": -0.1079572699541054, - "first_commit": "2023-04-26 08:20:52", - "latest_commit": "2023-05-10 10:00:23", + "score": -0.11405311355784432, + "first_commit": "2023-10-06 03:18:28", + "latest_commit": "2023-11-20 09:25:16", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.248, + "model_architectures": "T5ForConditionalGeneration" }, { "description": "HuggingFaceFW/fineweb-edu-classifierを再現するために、日本語データでtohoku-nlp/bert-base-japanese-v3を学習したモデルです。 ", @@ -10469,1169 +10875,1189 @@ "project_name": "fineweb-edu-classifier-ja-v2", "downloads": 25, "source": "Hugging Face", - "score": -0.1079572699541054, + "score": -0.11405311355784432, "first_commit": "2024-06-14 13:20:22", "latest_commit": "2024-06-14 13:28:08", "languages": [], "model_or_dataset": "model", - "model_size": 0.111 + "model_size": 0.111, + "model_architectures": "BertForSequenceClassification" }, { - "description": "rinna/nekomata-14b-instruction-gguf Overview The model is the GGUF version of rinna/nekomata-14b-instruction.", - "url": "https://huggingface.co./rinna/nekomata-14b-instruction-gguf", - "project_name": "nekomata-14b-instruction-gguf", + "description": "rinna/japanese-data2vec-audio-base Overview This is a Japanese data2vec Audio Base model trained by rinna Co.", + "url": "https://huggingface.co./rinna/japanese-data2vec-audio-base", + "project_name": "japanese-data2vec-audio-base", "downloads": 25, "source": "Hugging Face", - "score": -0.1079572699541054, - "first_commit": "2023-12-19 08:12:06", - "latest_commit": "2024-07-20 08:34:05", + "score": -0.11405311355784432, + "first_commit": "2024-03-05 10:32:32", + "latest_commit": "2024-07-22 08:12:56", "languages": [], "model_or_dataset": "model", - "model_size": 14.2 + "model_size": 0.0932, + "model_architectures": "Data2VecAudioModel" }, { - "description": "NLLB-200 1.3B fine-tuned on Ascendance of a Bookworm", - "url": "https://huggingface.co./thefrigidliquidation/nllb-200-distilled-1.3B-bookworm", - "project_name": "nllb-200-distilled-1.3B-bookworm", + "description": "[Under Construction]", + "url": "https://huggingface.co./datasets/bclavie/mmarco-japanese-hard-negatives", + "project_name": "mmarco-japanese-hard-negatives", "downloads": 25, "source": "Hugging Face", - "score": -0.1079572699541054, - "first_commit": "2022-07-27 20:39:08", - "latest_commit": "2024-04-14 18:45:22", + "score": -0.11405311355784432, + "first_commit": "2023-12-24 13:04:27", + "latest_commit": "2023-12-24 18:52:04", "languages": [], - "model_or_dataset": "model", - "model_size": 1.37 + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null }, { - "description": "記事本文からタイトルを生成するモデル SEE: https://qiita.com/sonoisa/items/30876467ad5a8a81821f", - "url": "https://huggingface.co./sonoisa/t5-qiita-title-generation", - "project_name": "t5-qiita-title-generation", - "downloads": 25, + "description": "Chat & support: TheBloke's Discord server Want to contribute?", + "url": "https://huggingface.co./TheBloke/japanese-stablelm-instruct-beta-70B-GPTQ", + "project_name": "japanese-stablelm-instruct-beta-70B-GPTQ", + "downloads": 24, "source": "Hugging Face", - "score": -0.1079572699541054, - "first_commit": "2021-10-17 14:46:56", - "latest_commit": "2022-02-21 13:39:01", + "score": -0.11406882491453854, + "first_commit": "2023-11-02 15:45:24", + "latest_commit": "2023-11-02 20:04:07", "languages": [], "model_or_dataset": "model", - "model_size": null - }, - { - "description": "Kendamarron/jimba-wiki-instruction-calm3 grapevine-AI/CALM3-22B-Chat-GGUFのQ4_K_Mを使った合成instructionデータセットです。 ", - "url": "https://huggingface.co./datasets/Kendamarron/jimba-wiki-instruction-calm3", - "project_name": "jimba-wiki-instruction-calm3", - "downloads": 25, - "source": "Hugging Face", - "score": -0.1079572699541054, - "first_commit": "2024-07-09 22:18:35", - "latest_commit": "2024-07-20 12:57:05", - "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_size": 9.1, + "model_architectures": "LlamaForCausalLM" }, { - "description": "This pre-trained model is work in progress!", - "url": "https://huggingface.co./naclbit/gpt-j-japanese-6.8b", - "project_name": "gpt-j-japanese-6.8b", + "description": "日本語医療固有表現抽出モデル 概要 ソーシャル・コンピューティング研究室さまより公開されているMedTxt-CRを用いて、alabniiさまより公開されているRoBERTaをfine-tuningした固有表現抽出モデルです。 ", + "url": "https://huggingface.co./daisaku-s/medtxt_ner_roberta", + "project_name": "medtxt_ner_roberta", "downloads": 24, "source": "Hugging Face", - "score": -0.10797231971600679, - "first_commit": "2021-10-17 08:02:54", - "latest_commit": "2021-11-10 15:28:57", + "score": -0.11406882491453854, + "first_commit": "2023-02-13 10:48:22", + "latest_commit": "2023-02-15 13:43:48", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "BertForTokenClassification" }, { - "description": "deberta-base-japanese-wikipedia Model Description", - "url": "https://huggingface.co./KoichiYasuoka/deberta-base-japanese-wikipedia", - "project_name": "deberta-base-japanese-wikipedia", + "description": "Summary This is a text classifier for assigning a JLPT level.", + "url": "https://huggingface.co./bennexx/cl-tohoku-bert-base-japanese-v3-jlpt-classifier", + "project_name": "cl-tohoku-bert-base-japanese-v3-jlpt-classifier", "downloads": 24, "source": "Hugging Face", - "score": -0.10797231971600679, - "first_commit": "2022-06-25 03:46:58", - "latest_commit": "2023-01-27 17:51:51", + "score": -0.11406882491453854, + "first_commit": "2024-01-19 00:32:15", + "latest_commit": "2024-07-10 13:41:08", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "BertForSequenceClassification" }, { - "description": "deberta-large-japanese-unidic-ud-head Model Description", - "url": "https://huggingface.co./KoichiYasuoka/deberta-large-japanese-unidic-ud-head", - "project_name": "deberta-large-japanese-unidic-ud-head", - "downloads": 24, + "description": "Fine-tuned Japanese Whisper model for speech recognition using whisper-base Fine-tuned openai/whisper-base on Japanese using Common Voice, JVS and JSUT.", + "url": "https://huggingface.co./Ivydata/whisper-base-japanese", + "project_name": "whisper-base-japanese", + "downloads": 23, "source": "Hugging Face", - "score": -0.10797231971600679, - "first_commit": "2022-06-19 00:10:56", - "latest_commit": "2023-11-05 17:51:08", + "score": -0.11408453627123276, + "first_commit": "2023-05-17 04:36:41", + "latest_commit": "2023-06-08 00:17:50", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "WhisperForConditionalGeneration" }, { - "description": "Donut (base-sized model, fine-tuned on visual novel like synthetic dataset ) ビジュアルノベル風画像の合成データセットでnaver-clova-ix/donut-baseを訓練したモデルです。 ", - "url": "https://huggingface.co./oshizo/donut-base-japanese-visual-novel", - "project_name": "donut-base-japanese-visual-novel", - "downloads": 24, + "description": "rinna/nekomata-7b-instruction-gguf Overview The model is the GGUF version of rinna/nekomata-7b-instruction.", + "url": "https://huggingface.co./rinna/nekomata-7b-instruction-gguf", + "project_name": "nekomata-7b-instruction-gguf", + "downloads": 23, "source": "Hugging Face", - "score": -0.10797231971600679, - "first_commit": "2023-05-03 04:53:49", - "latest_commit": "2023-05-03 09:25:19", + "score": -0.11408453627123276, + "first_commit": "2023-12-19 08:11:08", + "latest_commit": "2024-07-20 08:38:34", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 7.72, + "model_architectures": null }, { - "description": "JAINU-Model (T5 fine-tuned model) JAINU is a Japanese - Ainu language machine translation model. ", - "url": "https://huggingface.co./astremo/JAINU", - "project_name": "JAINU", + "description": "rinna/nekomata-7b-gguf Overview The model is the GGUF version of rinna/nekomata-7b.", + "url": "https://huggingface.co./rinna/nekomata-7b-gguf", + "project_name": "nekomata-7b-gguf", "downloads": 23, "source": "Hugging Face", - "score": -0.10798736947790818, - "first_commit": "2022-04-30 13:57:31", - "latest_commit": "2022-05-22 05:51:12", + "score": -0.11408453627123276, + "first_commit": "2023-12-19 08:10:42", + "latest_commit": "2024-07-20 08:36:15", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 7.72, + "model_architectures": null }, { - "description": "Orion-14B 🌐English | 🇨", - "url": "https://huggingface.co./OrionStarAI/Orion-14B-Base-Int4", - "project_name": "Orion-14B-Base-Int4", + "description": "This model is a merged version of qwen-14b-vntl and Qwen1.5-14B-Chat , aiming for the translation of Japanese context into Chinese.", + "url": "https://huggingface.co./GralchemOz/Qwen1.5-14B-vntl-jp2zh-4.5bpw-h6-exl2", + "project_name": "Qwen1.5-14B-vntl-jp2zh-4.5bpw-h6-exl2", "downloads": 23, "source": "Hugging Face", - "score": -0.10798736947790818, - "first_commit": "2024-01-18 09:50:31", - "latest_commit": "2024-03-26 09:55:37", + "score": -0.11408453627123276, + "first_commit": "2024-03-03 02:29:43", + "latest_commit": "2024-03-03 03:17:09", "languages": [], "model_or_dataset": "model", - "model_size": 2.69 + "model_size": null, + "model_architectures": "Qwen2ForCausalLM" }, { - "description": "Chat-Vector-LLaVA-v1.5-7b-JA Model Card Model detail Model type: Chat-Vector-LLaVA-v1.5-7b-JA is a vision-language model that can converse about input images in Japanese.", - "url": "https://huggingface.co./toshi456/chat-vector-llava-v1.5-7b-ja", - "project_name": "chat-vector-llava-v1.5-7b-ja", + "description": "BERT for Japanese Twitter", + "url": "https://huggingface.co./LoneWolfgang/bert-for-japanese-twitter", + "project_name": "bert-for-japanese-twitter", "downloads": 23, "source": "Hugging Face", - "score": -0.10798736947790818, - "first_commit": "2024-05-06 04:07:19", - "latest_commit": "2024-05-06 11:33:32", + "score": -0.11408453627123276, + "first_commit": "2024-05-06 15:53:21", + "latest_commit": "2024-08-09 12:24:35", "languages": [], "model_or_dataset": "model", - "model_size": 7.06 + "model_size": 0.111, + "model_architectures": "BertForMaskedLM" }, { - "description": "[Under Construction]", - "url": "https://huggingface.co./datasets/bclavie/mmarco-japanese-hard-negatives", - "project_name": "mmarco-japanese-hard-negatives", + "description": "JaWiki WikipediaのHTML形式のダンプファイルから抽出したテキストデータセットです。 ", + "url": "https://huggingface.co./datasets/hpprc/jawiki", + "project_name": "jawiki", "downloads": 23, "source": "Hugging Face", - "score": -0.10798736947790818, - "first_commit": "2023-12-24 13:04:27", - "latest_commit": "2023-12-24 18:52:04", + "score": -0.11408453627123276, + "first_commit": "2024-02-02 06:36:01", + "latest_commit": "2024-02-13 15:19:49", "languages": [], "model_or_dataset": "dataset", - "model_size": null + "model_size": null, + "model_architectures": null }, { - "description": "This is for (private) DEMO only.", - "url": "https://huggingface.co./Bagus/wav2vec2-xlsr-japanese-speech-emotion-recognition", - "project_name": "wav2vec2-xlsr-japanese-speech-emotion-recognition", + "description": "JAINU-Model (T5 fine-tuned model) JAINU is a Japanese - Ainu language machine translation model. ", + "url": "https://huggingface.co./astremo/JAINU", + "project_name": "JAINU", "downloads": 22, "source": "Hugging Face", - "score": -0.10800241923980958, - "first_commit": "2021-09-22 04:10:36", - "latest_commit": "2023-10-19 01:31:17", + "score": -0.11410024762792698, + "first_commit": "2022-04-30 13:57:31", + "latest_commit": "2022-05-22 05:51:12", "languages": [], "model_or_dataset": "model", - "model_size": 0.316 + "model_size": null, + "model_architectures": "T5ForConditionalGeneration" }, { - "description": "Japanese GPT2 Lyric Model Model description", - "url": "https://huggingface.co./skytnt/gpt2-japanese-lyric-medium", - "project_name": "gpt2-japanese-lyric-medium", + "description": "bart-base-japanese-news(base-sized model)", + "url": "https://huggingface.co./stockmark/bart-base-japanese-news", + "project_name": "bart-base-japanese-news", "downloads": 22, "source": "Hugging Face", - "score": -0.10800241923980958, - "first_commit": "2022-07-08 13:28:12", - "latest_commit": "2023-10-21 14:53:57", + "score": -0.11410024762792698, + "first_commit": "2023-01-20 04:23:07", + "latest_commit": "2023-12-08 03:39:50", "languages": [], "model_or_dataset": "model", - "model_size": 0.361 + "model_size": 0.125, + "model_architectures": "BartForConditionalGeneration" }, { - "description": "COMET-T5 ja Finetuned T5 on ATOMIC ja using a text-to-text language modeling objective.", - "url": "https://huggingface.co./nlp-waseda/comet-t5-base-japanese", - "project_name": "comet-t5-base-japanese", + "description": "bert-base-japanese-v3-bpr-passage-aio 「大規模言語モデル入門」の第9章で紹介している文書検索モデルBPRのパッセージエンコーダです。 ", + "url": "https://huggingface.co./llm-book/bert-base-japanese-v3-bpr-passage-aio", + "project_name": "bert-base-japanese-v3-bpr-passage-aio", "downloads": 22, "source": "Hugging Face", - "score": -0.10800241923980958, - "first_commit": "2022-11-12 15:07:40", - "latest_commit": "2023-02-08 09:26:55", + "score": -0.11410024762792698, + "first_commit": "2023-06-06 08:22:28", + "latest_commit": "2023-07-24 07:14:59", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "BertModel" }, { - "description": "Japanese Stable LM Instruct Gamma 7B Model Description", - "url": "https://huggingface.co./LoneStriker/stabilityai_japanese-stablelm-instruct-gamma-7b-3.0bpw-h6-exl2", - "project_name": "stabilityai_japanese-stablelm-instruct-gamma-7b-3.0bpw-h6-exl2", + "description": "Orion-14B 🌐English | 🇨", + "url": "https://huggingface.co./OrionStarAI/Orion-14B-Base-Int4", + "project_name": "Orion-14B-Base-Int4", "downloads": 22, "source": "Hugging Face", - "score": -0.10800241923980958, - "first_commit": "2023-10-28 20:16:15", - "latest_commit": "2023-10-28 15:16:25", + "score": -0.11410024762792698, + "first_commit": "2024-01-18 09:50:31", + "latest_commit": "2024-03-26 09:55:37", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 2.69, + "model_architectures": "OrionForCausalLM" }, { - "description": "Chat & support: TheBloke's Discord server Want to contribute?", - "url": "https://huggingface.co./TheBloke/japanese-stablelm-instruct-gamma-7B-GPTQ", - "project_name": "japanese-stablelm-instruct-gamma-7B-GPTQ", + "description": "Ninja-v1-RP-expressive GGUF版はこちら/Click here for the GGUF version 概要 This is a merge of pre-trained language models created using mergekit. ", + "url": "https://huggingface.co./Aratako/Ninja-v1-RP-expressive", + "project_name": "Ninja-v1-RP-expressive", "downloads": 22, "source": "Hugging Face", - "score": -0.10800241923980958, - "first_commit": "2023-10-28 19:03:17", - "latest_commit": "2023-10-28 20:24:40", + "score": -0.11410024762792698, + "first_commit": "2024-05-21 12:11:38", + "latest_commit": "2024-05-24 15:11:43", "languages": [], "model_or_dataset": "model", - "model_size": 1.2 + "model_size": 7.24, + "model_architectures": "MistralForCausalLM" }, { - "description": "Japanese DialoGPT trained with Aozora (ja) 青空文庫のセリフで学習した日本語のDialoGPT Smallです(en) Japanese DialoGPT Small trained on Aozora Bunko.", - "url": "https://huggingface.co./akiFQC/japanese-dialogpt-small-aozora", - "project_name": "japanese-dialogpt-small-aozora", + "description": "llm-jp-13b-instruct-lora-jaster-v1.0", + "url": "https://huggingface.co./llm-jp/llm-jp-13b-instruct-lora-jaster-v1.0", + "project_name": "llm-jp-13b-instruct-lora-jaster-v1.0", "downloads": 22, "source": "Hugging Face", - "score": -0.10800241923980958, - "first_commit": "2023-02-08 13:22:24", - "latest_commit": "2023-02-09 00:55:31", + "score": -0.11410024762792698, + "first_commit": "2023-10-18 18:53:58", + "latest_commit": "2023-10-20 08:41:20", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": null }, { - "description": "Summary This is a text classifier for assigning a JLPT level.", - "url": "https://huggingface.co./bennexx/cl-tohoku-bert-base-japanese-v3-jlpt-classifier", - "project_name": "cl-tohoku-bert-base-japanese-v3-jlpt-classifier", + "description": "deberta-base-japanese-upos Model Description", + "url": "https://huggingface.co./KoichiYasuoka/deberta-base-japanese-upos", + "project_name": "deberta-base-japanese-upos", "downloads": 22, "source": "Hugging Face", - "score": -0.10800241923980958, - "first_commit": "2024-01-19 00:32:15", - "latest_commit": "2024-07-10 13:41:08", + "score": -0.11410024762792698, + "first_commit": "2022-05-24 08:12:05", + "latest_commit": "2024-07-26 15:59:24", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "DebertaV2ForTokenClassification" }, { - "description": "BERT large Japanese (character-level tokenization with whole word masking, jawiki-20200831)", - "url": "https://huggingface.co./tohoku-nlp/bert-large-japanese-char", - "project_name": "bert-large-japanese-char", - "downloads": 21, + "description": "This is a Japanese sentence-T5 model.", + "url": "https://huggingface.co./sonoisa/sentence-t5-base-ja-mean-tokens", + "project_name": "sentence-t5-base-ja-mean-tokens", + "downloads": 22, "source": "Hugging Face", - "score": -0.10801746900171097, - "first_commit": "2021-03-05 06:36:24", - "latest_commit": "2021-09-23 15:45:39", + "score": -0.11410024762792698, + "first_commit": "2021-12-27 11:57:10", + "latest_commit": "2022-07-31 07:54:13", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "T5Model" }, { - "description": "yuyuyui-chatbot", - "url": "https://huggingface.co./ushikado/yuyuyui-chatbot", - "project_name": "yuyuyui-chatbot", - "downloads": 21, + "description": "Heron GIT Japanese StableLM", + "url": "https://huggingface.co./turing-motors/heron-chat-git-ja-stablelm-base-7b-v1", + "project_name": "heron-chat-git-ja-stablelm-base-7b-v1", + "downloads": 22, "source": "Hugging Face", - "score": -0.10801746900171097, - "first_commit": "2021-05-04 14:52:12", - "latest_commit": "2021-05-23 13:27:10", + "score": -0.11410024762792698, + "first_commit": "2024-03-29 09:09:32", + "latest_commit": "2024-05-02 07:55:57", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 7.32, + "model_architectures": "GitJapaneseStableLMAlphaForCausalLM" }, { - "description": "Fine-tuned Japanese Wav2Vec2 model for speech recognition using XLSR-53 large Fine-tuned facebook/wav2vec2-large-xlsr-53 on Japanese using Common Voice, JVS and JSUT.", - "url": "https://huggingface.co./Ivydata/wav2vec2-large-xlsr-53-japanese", - "project_name": "wav2vec2-large-xlsr-53-japanese", - "downloads": 21, + "description": "Dataset Summary From the official README.md: CAMERA (CyberAgent Multimodal Evaluation for Ad Text GeneRAtion) is the Japanese ad text generation dataset.", + "url": "https://huggingface.co./datasets/creative-graphic-design/CAMERA", + "project_name": "CAMERA", + "downloads": 22, "source": "Hugging Face", - "score": -0.10801746900171097, - "first_commit": "2023-05-11 08:47:29", - "latest_commit": "2023-05-12 02:15:39", + "score": -0.11410024762792698, + "first_commit": "2023-03-17 23:02:32", + "latest_commit": "2023-03-17 23:49:35", "languages": [], - "model_or_dataset": "model", - "model_size": null + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null }, { - "description": "Aerner LM-v1 事前学習から全部日本語で学習させたモデルです。 ", - "url": "https://huggingface.co./aerner/lm-v1", - "project_name": "lm-v1", + "description": "This is for (private) DEMO only.", + "url": "https://huggingface.co./Bagus/wav2vec2-xlsr-japanese-speech-emotion-recognition", + "project_name": "wav2vec2-xlsr-japanese-speech-emotion-recognition", "downloads": 21, "source": "Hugging Face", - "score": -0.10801746900171097, - "first_commit": "2023-05-25 12:35:32", - "latest_commit": "2023-05-25 13:35:34", + "score": -0.1141159589846212, + "first_commit": "2021-09-22 04:10:36", + "latest_commit": "2023-10-19 01:31:17", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.316, + "model_architectures": "HubertForSequenceClassification" }, { - "description": "Heron GIT Japanese StableLM", - "url": "https://huggingface.co./turing-motors/heron-chat-git-ja-stablelm-base-7b-v0", - "project_name": "heron-chat-git-ja-stablelm-base-7b-v0", + "description": "GPT2 Japanese base model version 2 Prerequisites transformers==4.19.2 Model architecture This model uses GPT2 base setttings except vocabulary size.", + "url": "https://huggingface.co./ClassCat/gpt2-base-japanese-v2", + "project_name": "gpt2-base-japanese-v2", "downloads": 21, "source": "Hugging Face", - "score": -0.10801746900171097, - "first_commit": "2023-09-06 09:19:59", - "latest_commit": "2023-09-11 16:55:23", + "score": -0.1141159589846212, + "first_commit": "2022-06-04 02:30:34", + "latest_commit": "2022-06-25 15:36:22", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "GPT2LMHeadModel" }, { - "description": "llm-jp-13b-instruct-lora-jaster-v1.0", - "url": "https://huggingface.co./llm-jp/llm-jp-13b-instruct-lora-jaster-v1.0", - "project_name": "llm-jp-13b-instruct-lora-jaster-v1.0", + "description": "alabnii/jmedroberta-base-sentencepiece-vocab50000 Model description This is a Japanese RoBERTa base model pre-trained on academic articles in medical sciences collected by Japan Science and Technology Agency (JST).", + "url": "https://huggingface.co./alabnii/jmedroberta-base-sentencepiece-vocab50000", + "project_name": "jmedroberta-base-sentencepiece-vocab50000", "downloads": 21, "source": "Hugging Face", - "score": -0.10801746900171097, - "first_commit": "2023-10-18 18:53:58", - "latest_commit": "2023-10-20 08:41:20", + "score": -0.1141159589846212, + "first_commit": "2022-12-22 17:22:14", + "latest_commit": "2023-06-27 03:44:17", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.124, + "model_architectures": "BertForMaskedLM" }, { - "description": "Shisa 7B Shisa 7B (shisa-7b-v1)", - "url": "https://huggingface.co./LoneStriker/shisa-7b-v1-3.0bpw-h6-exl2", - "project_name": "shisa-7b-v1-3.0bpw-h6-exl2", + "description": "rinna/nekomata-14b-instruction-gguf Overview The model is the GGUF version of rinna/nekomata-14b-instruction.", + "url": "https://huggingface.co./rinna/nekomata-14b-instruction-gguf", + "project_name": "nekomata-14b-instruction-gguf", "downloads": 21, "source": "Hugging Face", - "score": -0.10801746900171097, - "first_commit": "2023-12-07 17:52:29", - "latest_commit": "2023-12-07 18:54:23", + "score": -0.1141159589846212, + "first_commit": "2023-12-19 08:12:06", + "latest_commit": "2024-07-20 08:34:05", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 14.2, + "model_architectures": null }, { - "description": "youhansun/Llama-3-70B-japanese-suzume-vector-v0.1-Q2_K-GGUF", - "url": "https://huggingface.co./youhansun/Llama-3-70B-japanese-suzume-vector-v0.1-Q2_K-GGUF", - "project_name": "Llama-3-70B-japanese-suzume-vector-v0.1-Q2_K-GGUF", + "description": "japanese-sexual-moderation-v2は、studio-ousia/luke-japanese-large-liteをファインチューニングしたモデルです。", + "url": "https://huggingface.co./oshizo/japanese-sexual-moderation-v2", + "project_name": "japanese-sexual-moderation-v2", "downloads": 21, "source": "Hugging Face", - "score": -0.10801746900171097, - "first_commit": "2024-06-02 04:49:31", - "latest_commit": "2024-06-02 04:52:45", + "score": -0.1141159589846212, + "first_commit": "2024-01-03 04:58:17", + "latest_commit": "2024-01-03 07:09:05", "languages": [], "model_or_dataset": "model", - "model_size": 70.6 + "model_size": 0.41400000000000003, + "model_architectures": "LukeForSequenceClassification" }, { - "description": "SpiralAI Spiral-RetNet-3b-base We have conducted pre-training from scratch on the RetNet (https://arxiv.org/abs/2307.08621)", - "url": "https://huggingface.co./Spiral-AI/Spiral-RetNet-3b-base", - "project_name": "Spiral-RetNet-3b-base", + "description": "Tanuki-8B-dpo-v1.0-AWQ 概要 GENIAC 松尾研 LLM開発プロジェクトで開発されたLLMであるweblab-GENIAC/Tanuki-8B-dpo-v1.0のAWQ 4bit量子化モデルです。", + "url": "https://huggingface.co./team-hatakeyama-phase2/Tanuki-8B-dpo-v1.0-AWQ", + "project_name": "Tanuki-8B-dpo-v1.0-AWQ", "downloads": 21, "source": "Hugging Face", - "score": -0.10801746900171097, - "first_commit": "2024-04-30 09:33:26", - "latest_commit": "2024-05-01 04:54:26", + "score": -0.1141159589846212, + "first_commit": "2024-08-27 04:50:35", + "latest_commit": "2024-09-03 09:29:23", "languages": [], "model_or_dataset": "model", - "model_size": 2.86 + "model_size": 1.47, + "model_architectures": "LlamaForCausalLM" }, { - "description": "モデルの概略 東方Projectのキャラクターである霧雨魔理沙とおしゃべりできるモデルです。 ", - "url": "https://huggingface.co./tsukemono/japanese-novel-gpt-j-6b-f16-marisa", - "project_name": "japanese-novel-gpt-j-6b-f16-marisa", + "description": "SambaLingo-Japanese-Chat SambaLingo-Japanese-Chat is a human aligned chat model trained in Japanese and English.", + "url": "https://huggingface.co./sambanovasystems/SambaLingo-Japanese-Chat", + "project_name": "SambaLingo-Japanese-Chat", "downloads": 21, "source": "Hugging Face", - "score": -0.10801746900171097, - "first_commit": "2023-09-02 15:15:51", - "latest_commit": "2023-09-06 18:42:50", + "score": -0.1141159589846212, + "first_commit": "2024-02-15 22:45:08", + "latest_commit": "2024-04-16 22:32:15", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 6.95, + "model_architectures": "LlamaForCausalLM" }, { - "description": "データセットについて オープンソースLLMの出力を人手でチェック・修正したinstructionにSwallow-MXでoutputを生成したデータセットです。 ", - "url": "https://huggingface.co./datasets/Kendamarron/pret-a-porter-instruction-v0.1", - "project_name": "pret-a-porter-instruction-v0.1", + "description": "About This model is Lightblue's QLoRA finetune of OpenOrca's Open-Orca/OpenOrcaxOpenChat-Preview2-13B model on Japanese fine-tuning datasets.", + "url": "https://huggingface.co./lightblue/openorca_stx", + "project_name": "openorca_stx", "downloads": 21, "source": "Hugging Face", - "score": -0.10801746900171097, - "first_commit": "2024-03-26 13:08:14", - "latest_commit": "2024-04-01 04:30:44", + "score": -0.1141159589846212, + "first_commit": "2023-09-12 09:29:10", + "latest_commit": "2023-10-02 10:25:36", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": null, + "model_architectures": "LlamaForCausalLM" }, { - "description": "Our Models Vecteus Ninja-v1 Ninja-v1-NSFW Ninja-v1-128k Ninja-v1-NSFW-128k Model Card for Ninja-v1.0 The Mistral-7B--based Large Language Model (LLM) is an noveldataset fine-tuned version of the Mistral-7B-v0.1 Ninja has the following changes compared to Mistral-7B-v0.1.", - "url": "https://huggingface.co./Local-Novel-LLM-project/Ninja-v1", - "project_name": "Ninja-v1", - "downloads": 20, + "description": "Japanese DialoGPT trained with Aozora (ja) 青空文庫のセリフで学習した日本語のDialoGPT Smallです(en) Japanese DialoGPT Small trained on Aozora Bunko.", + "url": "https://huggingface.co./akiFQC/japanese-dialogpt-small-aozora", + "project_name": "japanese-dialogpt-small-aozora", + "downloads": 21, "source": "Hugging Face", - "score": -0.10803251876361236, - "first_commit": "2024-04-24 10:28:30", - "latest_commit": "2024-05-04 04:07:09", + "score": -0.1141159589846212, + "first_commit": "2023-02-08 13:22:24", + "latest_commit": "2023-02-09 00:55:31", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": null, + "model_architectures": "GPT2LMHeadModel" }, { - "description": "SambaLingo-Japanese-Chat SambaLingo-Japanese-Chat is a human aligned chat model trained in Japanese and English.", - "url": "https://huggingface.co./LoneStriker/SambaLingo-Japanese-Chat-3.0bpw-h6-exl2", - "project_name": "SambaLingo-Japanese-Chat-3.0bpw-h6-exl2", - "downloads": 20, + "description": "deberta-base-japanese-wikipedia-ud-head Model Description", + "url": "https://huggingface.co./KoichiYasuoka/deberta-base-japanese-wikipedia-ud-head", + "project_name": "deberta-base-japanese-wikipedia-ud-head", + "downloads": 21, "source": "Hugging Face", - "score": -0.10803251876361236, - "first_commit": "2024-03-07 06:50:19", - "latest_commit": "2024-03-07 06:51:42", + "score": -0.1141159589846212, + "first_commit": "2022-06-25 13:03:09", + "latest_commit": "2024-08-20 19:47:27", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "DebertaV2ForQuestionAnswering" }, { - "description": "日本語T5事前学習済みモデル This is a T5 (Text-to-Text Transfer Transformer) model pretrained on Japanese corpus. ", - "url": "https://huggingface.co./sonoisa/t5-base-japanese-mC4-Wikipedia", - "project_name": "t5-base-japanese-mC4-Wikipedia", - "downloads": 20, + "description": "jpn-msa source group: Japanese target group: Malay (macrolanguage) OPUS readme: jpn-msa model: transformer-align source language(s): jpn jpn_Hani jpn_Hira jpn_Kana target language(s): ind", + "url": "https://huggingface.co./Helsinki-NLP/opus-mt-ja-ms", + "project_name": "opus-mt-ja-ms", + "downloads": 21, "source": "Hugging Face", - "score": -0.10803251876361236, - "first_commit": "2021-06-30 12:53:09", - "latest_commit": "2021-09-23 18:29:58", + "score": -0.1141159589846212, + "first_commit": "2020-08-19 00:29:11", + "latest_commit": "2023-08-16 11:59:16", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "MarianMTModel" }, { - "description": ", 2023) was trained on.", - "url": "https://huggingface.co./datasets/zan/lima-ja", - "project_name": "lima-ja", - "downloads": 20, + "description": "J-ResearchCorpus Update: 2024/3/16言語処理学会第30回年次大会(NLP2024)を含む、論文 1,343 本のデータを追加 2024/2/25言語処理学会誌「自然言語処理」のうち CC-BY-4.0 で公開されている論文 360 本のデータを追加 概要 CC-BY-* ライセンスで公開されている日本語論文や学会誌等から抜粋した高品質なテキストのデータセットです。", + "url": "https://huggingface.co./datasets/kunishou/J-ResearchCorpus", + "project_name": "J-ResearchCorpus", + "downloads": 21, "source": "Hugging Face", - "score": -0.10803251876361236, - "first_commit": "2023-07-08 07:35:34", - "latest_commit": "2023-07-08 13:39:45", + "score": -0.1141159589846212, + "first_commit": "2024-02-12 14:03:42", + "latest_commit": "2024-03-16 07:55:08", "languages": [], "model_or_dataset": "dataset", - "model_size": null + "model_size": null, + "model_architectures": null }, { - "description": "NLLB 1.3B fine-tuned on Japanese to English Light Novel translation This model was fine-tuned on light and web novel for Japanese to English translation.", - "url": "https://huggingface.co./thefrigidliquidation/nllb-jaen-1.3B-lightnovels", - "project_name": "nllb-jaen-1.3B-lightnovels", - "downloads": 19, + "description": "日本語でtrainingしたllama2 model size: 417.12M trainingは以下のscript参照https://github.com/Lightning-AI/lit-gpt/tree/main use from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained(\"if001/sentencepiece_ja\", trust_remote_code=True) model = AutoModelForCausalLM.from_pretrained(\"if001/llama2_ja_small\")", + "url": "https://huggingface.co./if001/llama2_ja_small", + "project_name": "llama2_ja_small", + "downloads": 20, "source": "Hugging Face", - "score": -0.10804756852551375, - "first_commit": "2022-10-01 00:43:59", - "latest_commit": "2023-06-04 13:38:43", + "score": -0.11413167034131541, + "first_commit": "2023-10-11 09:11:41", + "latest_commit": "2023-10-14 13:50:54", "languages": [], "model_or_dataset": "model", - "model_size": 1.37 + "model_size": null, + "model_architectures": "LlamaForCausalLM" }, { - "description": "このモデルはdeberta-v2-large-japaneseをファインチューニングして固有表現抽出（NER）に用いれるようにしたものです。 ", - "url": "https://huggingface.co./Mizuiro-sakura/deberta-v2-large-japanese-finetuned-ner", - "project_name": "deberta-v2-large-japanese-finetuned-ner", - "downloads": 19, + "description": "deberta-base-japanese-aozora-ud-goeswith Model Description", + "url": "https://huggingface.co./KoichiYasuoka/deberta-base-japanese-aozora-ud-goeswith", + "project_name": "deberta-base-japanese-aozora-ud-goeswith", + "downloads": 20, "source": "Hugging Face", - "score": -0.10804756852551375, - "first_commit": "2023-05-10 13:22:23", - "latest_commit": "2023-07-21 14:10:02", + "score": -0.11413167034131541, + "first_commit": "2022-10-14 09:43:58", + "latest_commit": "2024-08-20 18:52:19", "languages": [], "model_or_dataset": "model", - "model_size": 0.339 + "model_size": null, + "model_architectures": "DebertaV2ForTokenClassification" }, { - "description": "MPT-7B-base このモデルは、MosaicMLのllm-foundryリポジトリを使用してmosaicml/mpt-7bをファインチューニングしたモデルです。 ", - "url": "https://huggingface.co./Jumtra/mpt-7b-base", - "project_name": "mpt-7b-base", - "downloads": 19, + "description": "deberta-large-japanese-upos Model Description", + "url": "https://huggingface.co./KoichiYasuoka/deberta-large-japanese-upos", + "project_name": "deberta-large-japanese-upos", + "downloads": 20, "source": "Hugging Face", - "score": -0.10804756852551375, - "first_commit": "2023-05-24 14:30:09", - "latest_commit": "2023-06-26 01:08:31", + "score": -0.11413167034131541, + "first_commit": "2022-05-27 06:50:55", + "latest_commit": "2024-07-26 16:00:59", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "DebertaV2ForTokenClassification" }, { - "description": "Shisa 7B Shisa 7B (shisa-7b-v1)", - "url": "https://huggingface.co./LoneStriker/shisa-7b-v1-8.0bpw-h8-exl2", - "project_name": "shisa-7b-v1-8.0bpw-h8-exl2", - "downloads": 19, + "description": "deberta-base-japanese-aozora Model Description", + "url": "https://huggingface.co./KoichiYasuoka/deberta-base-japanese-aozora", + "project_name": "deberta-base-japanese-aozora", + "downloads": 20, "source": "Hugging Face", - "score": -0.10804756852551375, - "first_commit": "2023-12-07 18:22:23", - "latest_commit": "2023-12-07 18:54:33", + "score": -0.11413167034131541, + "first_commit": "2022-05-24 04:30:28", + "latest_commit": "2023-01-08 08:41:04", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "DebertaV2ForMaskedLM" }, { - "description": "Model Card for Model ID Fine tunned ASR model from distil-whisper/distil-large-v2.", - "url": "https://huggingface.co./spow12/Visual-novel-transcriptor", - "project_name": "Visual-novel-transcriptor", - "downloads": 19, + "description": "deberta-small-japanese-aozora Model Description", + "url": "https://huggingface.co./KoichiYasuoka/deberta-small-japanese-aozora", + "project_name": "deberta-small-japanese-aozora", + "downloads": 20, "source": "Hugging Face", - "score": -0.10804756852551375, - "first_commit": "2024-04-15 01:43:08", - "latest_commit": "2024-08-12 12:39:52", + "score": -0.11413167034131541, + "first_commit": "2022-05-23 04:58:53", + "latest_commit": "2023-01-15 15:25:14", "languages": [], "model_or_dataset": "model", - "model_size": 0.756 + "model_size": null, + "model_architectures": "DebertaV2ForMaskedLM" }, { - "description": "NikolayKozloff/h2o-Llama-3-8B-Japanese-Instruct-Q8_0-GGUF", - "url": "https://huggingface.co./NikolayKozloff/h2o-Llama-3-8B-Japanese-Instruct-Q8_0-GGUF", - "project_name": "h2o-Llama-3-8B-Japanese-Instruct-Q8_0-GGUF", - "downloads": 19, + "description": "Genji-JP 6B Please check our blog post for more details, samples, evaluations and more: Blogpost Model Description Genji-JP 6B is a model finetuned on our Japanese storytelling dataset based on EleutherAI's GPT-J 6B model.", + "url": "https://huggingface.co./NovelAI/genji-jp", + "project_name": "genji-jp", + "downloads": 20, "source": "Hugging Face", - "score": -0.10804756852551375, - "first_commit": "2024-06-24 13:27:54", - "latest_commit": "2024-06-24 13:28:33", + "score": -0.11413167034131541, + "first_commit": "2021-11-03 15:07:47", + "latest_commit": "2022-08-09 17:36:02", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": null, + "model_architectures": "GPTJForCausalLM" }, { - "description": "BERT for Sentiment Analysis of Japanese Twitter", - "url": "https://huggingface.co./LoneWolfgang/bert-for-japanese-twitter-sentiment-mixed-label", - "project_name": "bert-for-japanese-twitter-sentiment-mixed-label", - "downloads": 19, + "description": ", 2023) was trained on.", + "url": "https://huggingface.co./datasets/zan/lima-ja", + "project_name": "lima-ja", + "downloads": 20, "source": "Hugging Face", - "score": -0.10804756852551375, - "first_commit": "2024-08-09 11:38:05", - "latest_commit": "2024-08-09 12:10:35", + "score": -0.11413167034131541, + "first_commit": "2023-07-08 07:35:34", + "latest_commit": "2023-07-08 13:39:45", "languages": [], - "model_or_dataset": "model", - "model_size": 0.111 + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null }, { - "description": "Chat & support: TheBloke's Discord server Want to contribute?", - "url": "https://huggingface.co./TheBloke/japanese-stablelm-instruct-beta-7B-GPTQ", - "project_name": "japanese-stablelm-instruct-beta-7B-GPTQ", - "downloads": 19, + "description": "For more information, see website below!", + "url": "https://huggingface.co./datasets/Hoshikuzu/JParaCrawl", + "project_name": "JParaCrawl", + "downloads": 20, "source": "Hugging Face", - "score": -0.10804756852551375, - "first_commit": "2023-11-03 10:31:29", - "latest_commit": "2023-11-03 12:54:41", + "score": -0.11413167034131541, + "first_commit": "2024-08-24 15:07:12", + "latest_commit": "2024-08-25 13:15:52", "languages": [], - "model_or_dataset": "model", - "model_size": 1.13 + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null }, { - "description": "This model is traned with llm-japanese-dataset dataset.", - "url": "https://huggingface.co./ganchengguang/Yoko_13B_Japanese_QLoRA", - "project_name": "Yoko_13B_Japanese_QLoRA", + "description": "Convert from: drewschaub/whisper-large-v3-japanese-4k-steps Whisper large-v3 model for CTranslate2 This repository contains the conversion of drewschaub/whisper-large-v3-japanese-4k-steps to the CTranslate2 model format.", + "url": "https://huggingface.co./JhonVanced/whisper-large-v3-japanese-4k-steps-ct2", + "project_name": "whisper-large-v3-japanese-4k-steps-ct2", "downloads": 19, "source": "Hugging Face", - "score": -0.10804756852551375, - "first_commit": "2023-08-17 16:26:52", - "latest_commit": "2023-08-17 16:51:41", + "score": -0.11414738169800963, + "first_commit": "2024-02-20 13:41:17", + "latest_commit": "2024-02-22 01:11:59", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": null }, { - "description": "Fine-tuned Japanese Whisper model for speech recognition using whisper-small Fine-tuned openai/whisper-small on Japanese using Common Voice, JVS and JSUT.", - "url": "https://huggingface.co./Ivydata/whisper-small-japanese", - "project_name": "whisper-small-japanese", + "description": "yuyuyui-chatbot", + "url": "https://huggingface.co./ushikado/yuyuyui-chatbot", + "project_name": "yuyuyui-chatbot", "downloads": 19, "source": "Hugging Face", - "score": -0.10804756852551375, - "first_commit": "2023-05-19 10:42:27", - "latest_commit": "2023-05-19 10:50:13", + "score": -0.11414738169800963, + "first_commit": "2021-05-04 14:52:12", + "latest_commit": "2021-05-23 13:27:10", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "GPT2LMHeadModel" }, { - "description": "このモデルはdeberta-v2-base-japaneseをファインチューニングして固有表現抽出（NER）に用いれるようにしたものです。 ", - "url": "https://huggingface.co./Mizuiro-sakura/deberta-v2-base-japanese-finetuned-ner", - "project_name": "deberta-v2-base-japanese-finetuned-ner", + "description": "deberta-large-japanese-aozora-ud-goeswith Model Description", + "url": "https://huggingface.co./KoichiYasuoka/deberta-large-japanese-aozora-ud-goeswith", + "project_name": "deberta-large-japanese-aozora-ud-goeswith", "downloads": 19, "source": "Hugging Face", - "score": -0.10804756852551375, - "first_commit": "2023-01-20 05:57:37", - "latest_commit": "2023-03-27 08:05:06", + "score": -0.11414738169800963, + "first_commit": "2022-10-14 11:35:36", + "latest_commit": "2024-08-20 19:20:44", "languages": [], "model_or_dataset": "model", - "model_size": 0.112 + "model_size": null, + "model_architectures": "DebertaV2ForTokenClassification" }, { - "description": "japanese-soseki-gpt2-1b", - "url": "https://huggingface.co./jweb/japanese-soseki-gpt2-1b", - "project_name": "japanese-soseki-gpt2-1b", + "description": "Heron BLIP Japanese StableLM", + "url": "https://huggingface.co./turing-motors/heron-chat-blip-ja-stablelm-base-7b-v0", + "project_name": "heron-chat-blip-ja-stablelm-base-7b-v0", "downloads": 19, "source": "Hugging Face", - "score": -0.10804756852551375, - "first_commit": "2022-03-03 04:53:15", - "latest_commit": "2023-03-27 12:09:04", + "score": -0.11414738169800963, + "first_commit": "2023-09-06 09:31:44", + "latest_commit": "2023-09-07 16:59:14", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "VideoBlipForConditionalGeneration" }, { - "description": "Model Overview: 日本語で質問すると、日本語で回答を得られます。", - "url": "https://huggingface.co./Ryu-m0m/16bit-japanese-finetuned-mistral-7b-v0", - "project_name": "16bit-japanese-finetuned-mistral-7b-v0", + "description": "Chat & support: TheBloke's Discord server Want to contribute?", + "url": "https://huggingface.co./TheBloke/japanese-stablelm-instruct-beta-70B-AWQ", + "project_name": "japanese-stablelm-instruct-beta-70B-AWQ", "downloads": 19, "source": "Hugging Face", - "score": -0.10804756852551375, - "first_commit": "2024-08-20 14:33:15", - "latest_commit": "2024-08-21 15:31:43", + "score": -0.11414738169800963, + "first_commit": "2023-11-02 15:45:23", + "latest_commit": "2023-11-09 18:16:16", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 9.68, + "model_architectures": "LlamaForCausalLM" }, { - "description": "データセット概要 手動で作成したDatabricksに関する質問と回答ペアの日本語データセットです。 ", - "url": "https://huggingface.co./datasets/yulanfmy/databricks-qa-ja", - "project_name": "databricks-qa-ja", + "description": "BERT for Sentiment Analysis of Japanese Twitter", + "url": "https://huggingface.co./LoneWolfgang/bert-for-japanese-twitter-sentiment-mixed-label", + "project_name": "bert-for-japanese-twitter-sentiment-mixed-label", "downloads": 19, "source": "Hugging Face", - "score": -0.10804756852551375, - "first_commit": "2023-05-15 13:27:23", - "latest_commit": "2023-05-15 14:55:06", + "score": -0.11414738169800963, + "first_commit": "2024-08-09 11:38:05", + "latest_commit": "2024-08-09 12:10:35", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": 0.111, + "model_architectures": "BertForSequenceClassification" }, { - "description": "friendly_JA-Model (T5 fine-tuned model) MT model trained using the friendly_JA Corpus attempting to make Japanese easier/more accessible to occidental people by using the Latin/English derived katakana lexicon instead of the standard Sino-Japanese lexicon Examples input output 最適化を応用した機械翻訳モデルは高精度だ オプティマイゼーションを応用したマシントランスレーションモデルは高いアキュラシーだ 彼は架空の世界に住んでいる 彼はイマジナリー世界に住んでいる 新型コロナウイルスに感染してしまった コロナウイルスにかかってしまった 深層学習は難しい ディープラーニングはむずかしい 新たな概念を紹介する 新しいコンセプトを紹介する 津波の警報が流れた ツナミのアラートが流れた 南海トラフの災害は震源地による 南海トラフのディザスターはエピ", - "url": "https://huggingface.co./astremo/friendly_JA", - "project_name": "friendly_JA", - "downloads": 18, + "description": "Style-Bert-VITS2 Japanese Only Sakura Miko こちらは「さくらみこ」の音声データセットに基づいて学習されたVITS-TTSモデルです。 ", + "url": "https://huggingface.co./Lycoris53/style-bert-vits2-sakura-miko", + "project_name": "style-bert-vits2-sakura-miko", + "downloads": 19, "source": "Hugging Face", - "score": -0.10806261828741515, - "first_commit": "2022-01-10 06:31:18", - "latest_commit": "2022-05-22 14:57:21", + "score": -0.11414738169800963, + "first_commit": "2024-05-27 14:58:38", + "latest_commit": "2024-05-28 03:02:14", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": null }, { - "description": "yacis-electra-small", - "url": "https://huggingface.co./ptaszynski/yacis-electra-small-japanese", - "project_name": "yacis-electra-small-japanese", - "downloads": 18, + "description": "karasu-lora-jp-qa-chat karasu fine tuned model by lora method with the original Q&A dataset.", + "url": "https://huggingface.co./aipib/karasu-lora-jp-qa-chat", + "project_name": "karasu-lora-jp-qa-chat", + "downloads": 19, "source": "Hugging Face", - "score": -0.10806261828741515, - "first_commit": "2022-01-12 01:48:13", - "latest_commit": "2022-01-13 01:43:17", + "score": -0.11414738169800963, + "first_commit": "2024-04-24 02:26:58", + "latest_commit": "2024-06-03 01:02:33", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 1.1, + "model_architectures": "LlamaForCausalLM" }, { "description": "Chat & support: TheBloke's Discord server Want to contribute?", - "url": "https://huggingface.co./TheBloke/japanese-stablelm-base-beta-70B-GPTQ", - "project_name": "japanese-stablelm-base-beta-70B-GPTQ", - "downloads": 18, + "url": "https://huggingface.co./TheBloke/japanese-stablelm-base-beta-70B-AWQ", + "project_name": "japanese-stablelm-base-beta-70B-AWQ", + "downloads": 19, "source": "Hugging Face", - "score": -0.10806261828741515, + "score": -0.11414738169800963, "first_commit": "2023-11-06 11:33:47", - "latest_commit": "2023-11-06 16:00:08", + "latest_commit": "2023-11-09 18:16:05", "languages": [], "model_or_dataset": "model", - "model_size": 9.1 + "model_size": 9.68, + "model_architectures": "LlamaForCausalLM" }, { - "description": "This is a BERT Base model for emotion analysis in Japanese additionally fine-tuned for emotion detection and classification.", - "url": "https://huggingface.co./alter-wang/bert-base-japanese-emotion-lily", - "project_name": "bert-base-japanese-emotion-lily", - "downloads": 18, + "description": "こちらでアップロードできないので、civitaiにて先に公開しています。 ", + "url": "https://huggingface.co./sazyou-roukaku/AfterRealXL", + "project_name": "AfterRealXL", + "downloads": 19, "source": "Hugging Face", - "score": -0.10806261828741515, - "first_commit": "2024-04-25 06:05:51", - "latest_commit": "2024-06-17 01:44:16", + "score": -0.11414738169800963, + "first_commit": "2023-09-23 08:43:02", + "latest_commit": "2023-10-01 18:12:09", "languages": [], "model_or_dataset": "model", - "model_size": 0.111 + "model_size": null, + "model_architectures": null }, { - "description": "モデルについて Qwen/Qwen1.5-0.5Bを日英データ5Bトークンで継続事前学習したモデルです。 ", - "url": "https://huggingface.co./Kendamarron/Tokara-0.5B-v0.1", - "project_name": "Tokara-0.5B-v0.1", - "downloads": 18, + "description": "deberta-large-japanese-wikipedia-ud-head Model Description", + "url": "https://huggingface.co./KoichiYasuoka/deberta-large-japanese-wikipedia-ud-head", + "project_name": "deberta-large-japanese-wikipedia-ud-head", + "downloads": 19, "source": "Hugging Face", - "score": -0.10806261828741515, - "first_commit": "2024-05-06 11:39:26", - "latest_commit": "2024-05-08 12:44:05", + "score": -0.11414738169800963, + "first_commit": "2022-07-06 03:51:14", + "latest_commit": "2024-08-20 19:51:21", "languages": [], "model_or_dataset": "model", - "model_size": 0.464 + "model_size": null, + "model_architectures": "DebertaV2ForQuestionAnswering" }, { - "description": "Wav2Vec2-XLS-R-300M-Japanese-Hiragana Fine-tuned facebook/wav2vec2-xls-r-300m on Japanese Hiragana characters using the Common Voice and JSUT.", - "url": "https://huggingface.co./slplab/wav2vec2-xls-r-300m-japanese-hiragana", - "project_name": "wav2vec2-xls-r-300m-japanese-hiragana", - "downloads": 18, + "description": "nlp-waseda/gpt2-small-japanese This model is Japanese GPT-2 pretrained on Japanese Wikipedia and CC-100.", + "url": "https://huggingface.co./nlp-waseda/gpt2-small-japanese", + "project_name": "gpt2-small-japanese", + "downloads": 19, "source": "Hugging Face", - "score": -0.10806261828741515, - "first_commit": "2022-09-16 07:34:58", - "latest_commit": "2022-09-16 11:01:54", + "score": -0.11414738169800963, + "first_commit": "2022-03-30 03:34:11", + "latest_commit": "2022-03-30 04:28:17", "languages": [], "model_or_dataset": "model", - "model_size": null - }, - { - "description": "GitHub リポジトリ singletongue/wikipedia-utils で公開されているデータセットを利用しています。 ", - "url": "https://huggingface.co./datasets/llm-book/jawiki-paragraphs", - "project_name": "jawiki-paragraphs", - "downloads": 18, - "source": "Hugging Face", - "score": -0.10806261828741515, - "first_commit": "2023-06-03 03:04:05", - "latest_commit": "2023-06-03 03:04:43", - "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_size": null, + "model_architectures": "GPT2LMHeadModel" }, { - "description": "BERT base Japanese model This repository contains a BERT base model trained on Japanese Wikipedia dataset.", - "url": "https://huggingface.co./colorfulscoop/bert-base-ja", - "project_name": "bert-base-ja", - "downloads": 17, + "description": "日本語T5事前学習済みモデル This is a T5 (Text-to-Text Transfer Transformer) model pretrained on Japanese corpus. ", + "url": "https://huggingface.co./sonoisa/t5-base-japanese-mC4-Wikipedia", + "project_name": "t5-base-japanese-mC4-Wikipedia", + "downloads": 19, "source": "Hugging Face", - "score": -0.10807766804931654, - "first_commit": "2021-07-30 10:11:35", - "latest_commit": "2021-09-23 15:46:05", + "score": -0.11414738169800963, + "first_commit": "2021-06-30 12:53:09", + "latest_commit": "2021-09-23 18:29:58", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": null }, { - "description": "ELECTRA small Japanese finance generator This is a ELECTRA model pretrained on texts in the Japanese language.", - "url": "https://huggingface.co./izumi-lab/electra-small-paper-japanese-fin-generator", - "project_name": "electra-small-paper-japanese-fin-generator", - "downloads": 17, + "description": "Model Overview: 日本語で質問すると、日本語で回答を得られます。", + "url": "https://huggingface.co./Ryu-m0m/16bit-japanese-finetuned-mistral-7b-v0", + "project_name": "16bit-japanese-finetuned-mistral-7b-v0", + "downloads": 19, "source": "Hugging Face", - "score": -0.10807766804931654, - "first_commit": "2021-10-04 13:38:47", - "latest_commit": "2023-10-21 13:21:24", + "score": -0.11414738169800963, + "first_commit": "2024-08-20 14:33:15", + "latest_commit": "2024-08-21 15:31:43", "languages": [], "model_or_dataset": "model", - "model_size": 0.00491 + "model_size": null, + "model_architectures": "MistralForCausalLM" }, { - "description": "シサム語による説明 アイヌ語と日本語の双方向機械翻訳モデルです。 ", - "url": "https://huggingface.co./SoMiyagawa/AinuTrans-2.0", - "project_name": "AinuTrans-2.0", - "downloads": 17, + "description": "mqaデータセットのquery--passageのペアについて重複を削除したデータセットです。 ", + "url": "https://huggingface.co./datasets/hpprc/mqa-ja", + "project_name": "mqa-ja", + "downloads": 19, "source": "Hugging Face", - "score": -0.10807766804931654, - "first_commit": null, - "latest_commit": null, + "score": -0.11414738169800963, + "first_commit": "2024-04-07 06:23:02", + "latest_commit": "2024-04-07 15:16:42", "languages": [], - "model_or_dataset": "model", - "model_size": null + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null }, { - "description": "transformer-lm-japanese-0.1b", - "url": "https://huggingface.co./fukugawa/transformer-lm-japanese-0.1b", - "project_name": "transformer-lm-japanese-0.1b", - "downloads": 17, + "description": "Japanese-Law-Translation Dataset Summary", + "url": "https://huggingface.co./datasets/Hoshikuzu/Japanese-Law-Translation", + "project_name": "Japanese-Law-Translation", + "downloads": 19, "source": "Hugging Face", - "score": -0.10807766804931654, - "first_commit": "2023-07-12 02:11:11", - "latest_commit": "2024-06-03 06:17:19", + "score": -0.11414738169800963, + "first_commit": "2024-08-24 14:43:16", + "latest_commit": "2024-08-25 13:26:11", "languages": [], - "model_or_dataset": "model", - "model_size": null + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null }, { - "description": "(English part follows Japanese one.", - "url": "https://huggingface.co./tohoku-nlp/stable-diffusion-xl-jp-base-1.0", - "project_name": "stable-diffusion-xl-jp-base-1.0", - "downloads": 17, + "description": "For more information, see website below!", + "url": "https://huggingface.co./datasets/Hoshikuzu/Tanaka-corpus", + "project_name": "Tanaka-corpus", + "downloads": 19, "source": "Hugging Face", - "score": -0.10807766804931654, - "first_commit": "2023-11-06 05:02:27", - "latest_commit": "2023-11-06 05:37:01", + "score": -0.11414738169800963, + "first_commit": "2024-08-24 14:51:15", + "latest_commit": "2024-08-25 13:20:34", "languages": [], - "model_or_dataset": "model", - "model_size": null + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null }, { - "description": "zenz-v1 Checkpoints zenz-v1 is a language model specialized for kana-kanji conversion tasks based on the GPT-2 architecture.", - "url": "https://huggingface.co./Miwa-Keita/zenz-v1-checkpoints", - "project_name": "zenz-v1-checkpoints", - "downloads": 17, + "description": "Mixtral-8x7B-Instruct-v0.1-japanese Mixtral-8x7B-Instruct-v0.1-japaneseはMixtral-8x7B-Instruct-v0.1をベースに日本語の語彙拡張継続事前学習を実施したモデルです。", + "url": "https://huggingface.co./abeja/Mixtral-8x7B-Instruct-v0.1-japanese", + "project_name": "Mixtral-8x7B-Instruct-v0.1-japanese", + "downloads": 18, "source": "Hugging Face", - "score": -0.10807766804931654, - "first_commit": "2024-06-28 14:26:33", - "latest_commit": "2024-06-28 14:53:43", + "score": -0.11416309305470385, + "first_commit": "2024-04-17 02:56:15", + "latest_commit": "2024-04-20 09:14:27", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 46.9, + "model_architectures": "MixtralForCausalLM" }, { "description": "gpt2-small-japanese-upos Model Description", "url": "https://huggingface.co./KoichiYasuoka/gpt2-small-japanese-upos", "project_name": "gpt2-small-japanese-upos", - "downloads": 17, + "downloads": 18, "source": "Hugging Face", - "score": -0.10807766804931654, + "score": -0.11416309305470385, "first_commit": "2024-06-22 22:28:58", "latest_commit": "2024-07-27 07:49:34", "languages": [], "model_or_dataset": "model", - "model_size": null - }, - { - "description": "llm-jp-1.3b-v1.0-aya llm-jp's llm-jp-1.3b-v1.0 model fine-tuned on the Japanese examples from Cohere's aya dataset Model llm-jp-eval AVG kcoopermiller/llm-jp-1.3b-v1.0-aya 0.0698 llm-jp/llm-jp-1.3b-v1.0 0.047 How to use import torch from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained(\"kcoopermiller/llm-jp-1.3b-v1.0-aya\")", - "url": "https://huggingface.co./kcoopermiller/llm-jp-1.3b-v1.0-aya", - "project_name": "llm-jp-1.3b-v1.0-aya", - "downloads": 17, - "source": "Hugging Face", - "score": -0.10807766804931654, - "first_commit": "2024-02-23 05:39:39", - "latest_commit": "2024-02-29 23:48:58", - "languages": [], - "model_or_dataset": "model", - "model_size": 1.32 - }, - { - "description": "japanese-stablelm-base-gamma-7b-Mistral-7B-Instruct-v0.1 japanese-stablelm-base-gamma-7b-Mistral-7B-Instruct-v0.1 is a merge of the following models: mistralai/Mistral-7B-Instruct-v0.1 stabilityai/japanese-stablelm-base-gamma-7b 🧩 Configuration slices: - sources: - model: mistralai/Mistral-7B-Instruct-v0.1 layer_range:", - "url": "https://huggingface.co./MaziyarPanahi/japanese-stablelm-base-gamma-7b-Mistral-7B-Instruct-v0.1", - "project_name": "japanese-stablelm-base-gamma-7b-Mistral-7B-Instruct-v0.1", - "downloads": 17, - "source": "Hugging Face", - "score": -0.10807766804931654, - "first_commit": "2024-01-17 04:41:20", - "latest_commit": "2024-01-17 04:46:18", - "languages": [], - "model_or_dataset": "model", - "model_size": null - }, - { - "description": "japanese-stablelm-instruct-gamma-7b-Mistral-7B-Instruct-v0.1 japanese-stablelm-instruct-gamma-7b-Mistral-7B-Instruct-v0.1 is a merge of the following models: mistralai/Mistral-7B-Instruct-v0.1 stabilityai/japanese-stablelm-instruct-gamma-7b 🧩 Configuration slices: - sources: - model: mistralai/Mistral-7B-Instruct-v0.1 layer_range:", - "url": "https://huggingface.co./MaziyarPanahi/japanese-stablelm-instruct-gamma-7b-Mistral-7B-Instruct-v0.1", - "project_name": "japanese-stablelm-instruct-gamma-7b-Mistral-7B-Instruct-v0.1", - "downloads": 17, - "source": "Hugging Face", - "score": -0.10807766804931654, - "first_commit": "2024-01-16 12:23:01", - "latest_commit": "2024-01-16 12:27:54", - "languages": [], - "model_or_dataset": "model", - "model_size": 7.24 + "model_size": null, + "model_architectures": "GPT2ForTokenClassification" }, { - "description": "JPNsensei-V2 Model Application", - "url": "https://huggingface.co./kanxxyc/JPNsensei-V2", - "project_name": "JPNsensei-V2", - "downloads": 17, + "description": "SpiralAI Spiral-RetNet-3b-base We have conducted pre-training from scratch on the RetNet (https://arxiv.org/abs/2307.08621)", + "url": "https://huggingface.co./Spiral-AI/Spiral-RetNet-3b-base", + "project_name": "Spiral-RetNet-3b-base", + "downloads": 18, "source": "Hugging Face", - "score": -0.10807766804931654, - "first_commit": "2023-10-30 00:18:24", - "latest_commit": "2024-03-11 10:19:14", + "score": -0.11416309305470385, + "first_commit": "2024-04-30 09:33:26", + "latest_commit": "2024-05-01 04:54:26", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 2.86, + "model_architectures": "RetNetForCausalLM" }, { - "description": "こちらでアップロードできないので、civitaiにて先に公開しています。 ", - "url": "https://huggingface.co./sazyou-roukaku/AfterRealXL", - "project_name": "AfterRealXL", - "downloads": 17, + "description": "Donut (base-sized model, fine-tuned on visual novel like synthetic dataset ) ビジュアルノベル風画像の合成データセットでnaver-clova-ix/donut-baseを訓練したモデルです。 ", + "url": "https://huggingface.co./oshizo/donut-base-japanese-visual-novel", + "project_name": "donut-base-japanese-visual-novel", + "downloads": 18, "source": "Hugging Face", - "score": -0.10807766804931654, - "first_commit": "2023-09-23 08:43:02", - "latest_commit": "2023-10-01 18:12:09", + "score": -0.11416309305470385, + "first_commit": "2023-05-03 04:53:49", + "latest_commit": "2023-05-03 09:25:19", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "VisionEncoderDecoderModel" }, { - "description": "whisper-large-v2-jp model for CTranslate2 This repository contains the conversion of vumichien/whisper-large-v2-jp to the CTranslate2 model format.", - "url": "https://huggingface.co./arc-r/faster-whisper-large-v2-jp", - "project_name": "faster-whisper-large-v2-jp", - "downloads": 17, + "description": "Japanese Stable Diffusion Pokemon Model Card Stable-Diffusion-Pokemon-ja is a Japanese-specific latent text-to-image diffusion model capable of generating Pokemon images given any text input.", + "url": "https://huggingface.co./svjack/Stable-Diffusion-Pokemon-ja", + "project_name": "Stable-Diffusion-Pokemon-ja", + "downloads": 18, "source": "Hugging Face", - "score": -0.10807766804931654, - "first_commit": "2023-07-07 06:16:06", - "latest_commit": "2023-07-07 18:09:09", + "score": -0.11416309305470385, + "first_commit": "2022-10-30 08:19:13", + "latest_commit": "2023-05-16 09:23:49", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": null }, { - "description": "nagisa_bert A BERT model for nagisa.", - "url": "https://huggingface.co./taishi-i/nagisa_bert", - "project_name": "nagisa_bert", - "downloads": 17, + "description": "Japanese-Heron-Bench Dataset Description Japanese-Heron-Bench is a benchmark for evaluating Japanese VLMs (Vision-Language Models).", + "url": "https://huggingface.co./datasets/turing-motors/Japanese-Heron-Bench", + "project_name": "Japanese-Heron-Bench", + "downloads": 18, "source": "Hugging Face", - "score": -0.10807766804931654, - "first_commit": "2022-09-25 13:12:57", - "latest_commit": "2023-09-15 01:28:14", + "score": -0.11416309305470385, + "first_commit": "2024-04-12 01:54:01", + "latest_commit": "2024-04-12 08:59:36", "languages": [], - "model_or_dataset": "model", - "model_size": 0.111 + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null }, { - "description": "bert-base-japanese-unidic-luw-upos Model Description", - "url": "https://huggingface.co./KoichiYasuoka/bert-base-japanese-unidic-luw-upos", - "project_name": "bert-base-japanese-unidic-luw-upos", - "downloads": 16, + "description": "friendly_JA-Model (T5 fine-tuned model) MT model trained using the friendly_JA Corpus attempting to make Japanese easier/more accessible to occidental people by using the Latin/English derived katakana lexicon instead of the standard Sino-Japanese lexicon Examples input output 最適化を応用した機械翻訳モデルは高精度だ オプティマイゼーションを応用したマシントランスレーションモデルは高いアキュラシーだ 彼は架空の世界に住んでいる 彼はイマジナリー世界に住んでいる 新型コロナウイルスに感染してしまった コロナウイルスにかかってしまった 深層学習は難しい ディープラーニングはむずかしい 新たな概念を紹介する 新しいコンセプトを紹介する 津波の警報が流れた ツナミのアラートが流れた 南海トラフの災害は震源地による 南海トラフのディザスターはエピ", + "url": "https://huggingface.co./astremo/friendly_JA", + "project_name": "friendly_JA", + "downloads": 17, "source": "Hugging Face", - "score": -0.10809271781121793, - "first_commit": "2022-02-13 01:00:01", - "latest_commit": "2023-11-05 18:44:10", + "score": -0.11417880441139806, + "first_commit": "2022-01-10 06:31:18", + "latest_commit": "2022-05-22 14:57:21", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "T5ForConditionalGeneration" }, { - "description": "ELECTRA base Japanese generator This is a ELECTRA model pretrained on texts in the Japanese language.", - "url": "https://huggingface.co./izumi-lab/electra-base-japanese-generator", - "project_name": "electra-base-japanese-generator", - "downloads": 16, + "description": "This pre-trained model is work in progress!", + "url": "https://huggingface.co./naclbit/gpt-j-japanese-6.8b", + "project_name": "gpt-j-japanese-6.8b", + "downloads": 17, "source": "Hugging Face", - "score": -0.10809271781121793, - "first_commit": "2021-11-15 17:23:50", - "latest_commit": "2023-10-21 13:21:16", + "score": -0.11417880441139806, + "first_commit": "2021-10-17 08:02:54", + "latest_commit": "2021-11-10 15:28:57", "languages": [], "model_or_dataset": "model", - "model_size": 0.035500000000000004 + "model_size": null, + "model_architectures": "GPTJForCausalLM" }, { - "description": "nlp-waseda/gpt2-small-japanese-wikipedia This model is Japanese GPT-2 pretrained on Japanese Wikipedia.", - "url": "https://huggingface.co./nlp-waseda/gpt2-small-japanese-wikipedia", - "project_name": "gpt2-small-japanese-wikipedia", - "downloads": 16, + "description": "deberta-base-japanese-unidic Model Description", + "url": "https://huggingface.co./KoichiYasuoka/deberta-base-japanese-unidic", + "project_name": "deberta-base-japanese-unidic", + "downloads": 17, "source": "Hugging Face", - "score": -0.10809271781121793, - "first_commit": "2021-12-28 01:22:40", - "latest_commit": "2021-12-28 15:31:38", + "score": -0.11417880441139806, + "first_commit": "2022-06-08 08:05:33", + "latest_commit": "2022-06-18 23:02:31", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "DebertaV2ForMaskedLM" }, { - "description": "This model is traned with guanaco dataset.", - "url": "https://huggingface.co./ganchengguang/Yoko-7B-Japanese-v0", - "project_name": "Yoko-7B-Japanese-v0", - "downloads": 16, + "description": "Fine-tuned Japanese Wav2Vec2 model for speech recognition using XLSR-53 large Fine-tuned facebook/wav2vec2-large-xlsr-53 on Japanese using Common Voice, JVS and JSUT.", + "url": "https://huggingface.co./Ivydata/wav2vec2-large-xlsr-53-japanese", + "project_name": "wav2vec2-large-xlsr-53-japanese", + "downloads": 17, "source": "Hugging Face", - "score": -0.10809271781121793, - "first_commit": "2023-08-09 16:28:38", - "latest_commit": "2023-08-10 13:00:34", + "score": -0.11417880441139806, + "first_commit": "2023-05-11 08:47:29", + "latest_commit": "2023-05-12 02:15:39", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "Wav2Vec2ForCTC" }, { - "description": "日本語でtrainingしたllama2をinstruction用のデータセットでsftしたものになります base: https://huggingface.co./if001/llama2_ja_small trainingは以下のscript参照 https://github.com/Lightning-AI/lit-gpt/tree/main use from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained(\"if001/sentencepiece_ja\", trust_remote_code=True) model = AutoModelForCausalLM.from_pretrained(\"if001/llama2_ja_small\")", - "url": "https://huggingface.co./if001/llama2_ja_small_instruct", - "project_name": "llama2_ja_small_instruct", - "downloads": 16, + "description": "spekulatius マージしているとたまに出てくる「目的の意図とは違うのだけどなんだか消すにはもったいないモデル」をおすそ分けするシリーズです。 ", + "url": "https://huggingface.co./Lasorco/spekulatius", + "project_name": "spekulatius", + "downloads": 17, "source": "Hugging Face", - "score": -0.10809271781121793, - "first_commit": "2023-10-21 05:21:13", - "latest_commit": "2023-10-23 19:39:51", + "score": -0.11417880441139806, + "first_commit": "2023-10-24 13:56:21", + "latest_commit": "2023-10-26 04:21:35", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": null }, { - "description": "Shisa 7B Shisa 7B (shisa-7b-v1)", - "url": "https://huggingface.co./LoneStriker/shisa-7b-v1-4.0bpw-h6-exl2", - "project_name": "shisa-7b-v1-4.0bpw-h6-exl2", - "downloads": 16, + "description": "はじめに GoogleのGemma-2Bを日本語で使えるように継続事前学習を施した、商用利用可能なベースモデルです。 ", + "url": "https://huggingface.co./alfredplpl/suzume-poc", + "project_name": "suzume-poc", + "downloads": 17, "source": "Hugging Face", - "score": -0.10809271781121793, - "first_commit": "2023-12-07 17:59:51", - "latest_commit": "2023-12-07 18:54:26", + "score": -0.11417880441139806, + "first_commit": "2024-03-14 09:51:38", + "latest_commit": "2024-03-17 15:05:20", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 2.51, + "model_architectures": "GemmaForCausalLM" }, { - "description": "ELYZA-japanese-Llama-2-13b-fast-instruct-gguf ELYZA-japanese-Llama-2-13b-fast-instructの GGUF 変換モデルです。", - "url": "https://huggingface.co./schroneko/ELYZA-japanese-Llama-2-13b-fast-instruct-gguf", - "project_name": "ELYZA-japanese-Llama-2-13b-fast-instruct-gguf", - "downloads": 16, + "description": "Wav2Vec2-XLS-R-300M-Japanese-Hiragana Fine-tuned facebook/wav2vec2-xls-r-300m on Japanese Hiragana characters using the Common Voice and JSUT.", + "url": "https://huggingface.co./slplab/wav2vec2-xls-r-300m-japanese-hiragana", + "project_name": "wav2vec2-xls-r-300m-japanese-hiragana", + "downloads": 17, "source": "Hugging Face", - "score": -0.10809271781121793, - "first_commit": "2024-01-23 14:14:39", - "latest_commit": "2024-01-25 06:30:57", + "score": -0.11417880441139806, + "first_commit": "2022-09-16 07:34:58", + "latest_commit": "2022-09-16 11:01:54", "languages": [], "model_or_dataset": "model", - "model_size": 13.1 + "model_size": null, + "model_architectures": "Wav2Vec2ForCTC" }, { - "description": "ELYZA-japanese-Llama-2-fast-MoE-2x7B-v0.1-GGUF 概要 Aratako/ELYZA-japanese-Llama-2-fast-MoE-2x7B-v0.1の量子化済みGGUF版です。", - "url": "https://huggingface.co./Aratako/ELYZA-japanese-Llama-2-fast-MoE-2x7B-v0.1-GGUF", - "project_name": "ELYZA-japanese-Llama-2-fast-MoE-2x7B-v0.1-GGUF", - "downloads": 16, + "description": "記事本文からタイトルを生成するモデル SEE: https://qiita.com/sonoisa/items/30876467ad5a8a81821f", + "url": "https://huggingface.co./sonoisa/t5-qiita-title-generation", + "project_name": "t5-qiita-title-generation", + "downloads": 17, "source": "Hugging Face", - "score": -0.10809271781121793, - "first_commit": "2024-03-07 13:21:38", - "latest_commit": "2024-03-07 13:47:58", + "score": -0.11417880441139806, + "first_commit": "2021-10-17 14:46:56", + "latest_commit": "2022-02-21 13:39:01", "languages": [], "model_or_dataset": "model", - "model_size": 11.2 + "model_size": null, + "model_architectures": "T5ForConditionalGeneration" }, { - "description": "Introduction Who am I: Qishen Ha", - "url": "https://huggingface.co./haqishen/Llama-3-8B-Japanese-Instruct", - "project_name": "Llama-3-8B-Japanese-Instruct", - "downloads": 16, + "description": "bert-japanese-ner このモデルは日本語の固有表現抽出タスクを目的として、京都大学 黒橋・褚・村脇研究室が公開しているBERT日本語Pretrainedモデルをベースにストックマーク株式会社が公開しているner-wikipedia-datasetでファインチューニングしたものです。 ", + "url": "https://huggingface.co./ken11/bert-japanese-ner", + "project_name": "bert-japanese-ner", + "downloads": 17, "source": "Hugging Face", - "score": -0.10809271781121793, - "first_commit": "2024-04-23 04:41:19", - "latest_commit": "2024-05-02 03:36:10", + "score": -0.11417880441139806, + "first_commit": "2021-11-13 16:28:23", + "latest_commit": "2021-11-14 02:34:01", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": null, + "model_architectures": "BertForTokenClassification" }, { - "description": "This repository contains a model trained (QLoRA-SFT)", - "url": "https://huggingface.co./taoki/phi3-mini-4k-qlora-jmultiwoz-dolly-amenokaku-alpaca_jp_python-GGUF", - "project_name": "phi3-mini-4k-qlora-jmultiwoz-dolly-amenokaku-alpaca_jp_python-GGUF", - "downloads": 16, + "description": "Japanese-Vietnamese Translated Sentence Pairs.", + "url": "https://huggingface.co./datasets/dichmau/ja_vi_translation", + "project_name": "ja_vi_translation", + "downloads": 17, "source": "Hugging Face", - "score": -0.10809271781121793, - "first_commit": "2024-05-29 15:11:10", - "latest_commit": "2024-05-31 11:28:45", + "score": -0.11417880441139806, + "first_commit": "2024-03-13 17:52:50", + "latest_commit": "2024-04-08 19:35:06", "languages": [], - "model_or_dataset": "model", - "model_size": 3.82 + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null }, { - "description": "gpt2-large-japanese-upos Model Description", - "url": "https://huggingface.co./KoichiYasuoka/gpt2-large-japanese-upos", - "project_name": "gpt2-large-japanese-upos", + "description": "roberta-base-japanese-aozora Model Description", + "url": "https://huggingface.co./KoichiYasuoka/roberta-base-japanese-aozora", + "project_name": "roberta-base-japanese-aozora", "downloads": 16, "source": "Hugging Face", - "score": -0.10809271781121793, - "first_commit": "2024-06-22 22:44:06", - "latest_commit": "2024-07-27 07:49:47", + "score": -0.11419451576809228, + "first_commit": "2021-12-21 00:04:03", + "latest_commit": "2022-10-15 14:20:11", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "RobertaForMaskedLM" }, { - "description": "Introduction Who am I: Qishen Ha", - "url": "https://huggingface.co./haqishen/h2o-Llama-3-8B-Japanese-Instruct", - "project_name": "h2o-Llama-3-8B-Japanese-Instruct", + "description": "deberta-base-japanese-unidic-luw-upos Model Description", + "url": "https://huggingface.co./KoichiYasuoka/deberta-base-japanese-unidic-luw-upos", + "project_name": "deberta-base-japanese-unidic-luw-upos", "downloads": 16, "source": "Hugging Face", - "score": -0.10809271781121793, - "first_commit": "2024-04-24 07:48:45", - "latest_commit": "2024-06-24 08:57:49", + "score": -0.11419451576809228, + "first_commit": "2022-06-08 08:26:25", + "latest_commit": "2024-08-20 20:15:13", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": null, + "model_architectures": "DebertaV2ForTokenClassification" }, { - "description": "はじめに GoogleのGemma-2Bを日本語で使えるように継続事前学習を施した、商用利用可能なベースモデルです。 ", - "url": "https://huggingface.co./alfredplpl/suzume-poc", - "project_name": "suzume-poc", + "description": "モデル説明 (model explanation) YaguruMagiku 0.6 : AbyssOrangeMix2_sfw 0.4 マージ元のルーツにNAIリークが含まれるという噂があるので、NAIリークアンチには非推奨 理想の黒髪ポニテ顔が出せるYaguruMagikuを、ある程度顔が近くて制御しやすいAbyssOrangeMix2と混ぜてみた。 ", + "url": "https://huggingface.co./ThePioneer/MoeDiffusion", + "project_name": "MoeDiffusion", "downloads": 16, "source": "Hugging Face", - "score": -0.10809271781121793, - "first_commit": "2024-03-14 09:51:38", - "latest_commit": "2024-03-17 15:05:20", + "score": -0.11419451576809228, + "first_commit": "2023-01-18 11:14:31", + "latest_commit": "2023-01-21 02:10:41", "languages": [], "model_or_dataset": "model", - "model_size": 2.51 + "model_size": null, + "model_architectures": null }, { - "description": "SambaLingo-Japanese-Chat SambaLingo-Japanese-Chat is a human aligned chat model trained in Japanese and English.", - "url": "https://huggingface.co./LoneStriker/SambaLingo-Japanese-Chat-8.0bpw-h8-exl2", - "project_name": "SambaLingo-Japanese-Chat-8.0bpw-h8-exl2", + "description": "transformer-lm-japanese-0.1b", + "url": "https://huggingface.co./fukugawa/transformer-lm-japanese-0.1b", + "project_name": "transformer-lm-japanese-0.1b", "downloads": 16, "source": "Hugging Face", - "score": -0.10809271781121793, - "first_commit": "2024-03-07 06:57:50", - "latest_commit": "2024-03-07 07:00:51", + "score": -0.11419451576809228, + "first_commit": "2023-07-12 02:11:11", + "latest_commit": "2024-06-03 06:17:19", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "TransformerLMForCausalLM" }, { - "description": "SambaLingo-Japanese-Chat SambaLingo-Japanese-Chat is a human aligned chat model trained in Japanese and English.", - "url": "https://huggingface.co./LoneStriker/SambaLingo-Japanese-Chat-6.0bpw-h6-exl2", - "project_name": "SambaLingo-Japanese-Chat-6.0bpw-h6-exl2", + "description": "japanese-stablelm-base-gamma-7b-Mistral-7B-Instruct-v0.1 japanese-stablelm-base-gamma-7b-Mistral-7B-Instruct-v0.1 is a merge of the following models: mistralai/Mistral-7B-Instruct-v0.1 stabilityai/japanese-stablelm-base-gamma-7b 🧩 Configuration slices: - sources: - model: mistralai/Mistral-7B-Instruct-v0.1 layer_range:", + "url": "https://huggingface.co./MaziyarPanahi/japanese-stablelm-base-gamma-7b-Mistral-7B-Instruct-v0.1", + "project_name": "japanese-stablelm-base-gamma-7b-Mistral-7B-Instruct-v0.1", "downloads": 16, "source": "Hugging Face", - "score": -0.10809271781121793, - "first_commit": "2024-03-07 06:55:28", - "latest_commit": "2024-03-07 06:57:49", + "score": -0.11419451576809228, + "first_commit": "2024-01-17 04:41:20", + "latest_commit": "2024-01-17 04:46:18", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 7.24, + "model_architectures": "MistralForCausalLM" }, { - "description": "Japanese Stable LM Instruct Gamma 7B Model Description", - "url": "https://huggingface.co./LoneStriker/stabilityai_japanese-stablelm-instruct-gamma-7b-8.0bpw-h6-exl2", - "project_name": "stabilityai_japanese-stablelm-instruct-gamma-7b-8.0bpw-h6-exl2", + "description": "Chat-Vector-LLaVA-v1.5-7b-JA Model Card Model detail Model type: Chat-Vector-LLaVA-v1.5-7b-JA is a vision-language model that can converse about input images in Japanese.", + "url": "https://huggingface.co./toshi456/chat-vector-llava-v1.5-7b-ja", + "project_name": "chat-vector-llava-v1.5-7b-ja", "downloads": 16, "source": "Hugging Face", - "score": -0.10809271781121793, - "first_commit": "2023-10-28 20:43:59", - "latest_commit": "2023-10-28 15:44:20", + "score": -0.11419451576809228, + "first_commit": "2024-05-06 04:07:19", + "latest_commit": "2024-05-06 11:33:32", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 7.06, + "model_architectures": "LlavaLlamaForCausalLM" }, { - "description": "Japanese Stable LM Instruct Gamma 7B Model Description", - "url": "https://huggingface.co./LoneStriker/stabilityai_japanese-stablelm-instruct-gamma-7b-6.0bpw-h6-exl2", - "project_name": "stabilityai_japanese-stablelm-instruct-gamma-7b-6.0bpw-h6-exl2", + "description": "Model Card for Model ID MMedBench and KoreanMedMCQA Instruction Fine-Tuned Multilingual Llama3 8B 4Bit quantized model using QLoRA.", + "url": "https://huggingface.co./SpassMedAI/MLMedLlama3", + "project_name": "MLMedLlama3", "downloads": 16, "source": "Hugging Face", - "score": -0.10809271781121793, - "first_commit": "2023-10-28 20:36:54", - "latest_commit": "2023-10-28 15:37:11", + "score": -0.11419451576809228, + "first_commit": "2024-08-20 17:08:05", + "latest_commit": "2024-08-28 15:39:15", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 4.65, + "model_architectures": "LlamaForCausalLM" }, { - "description": "Model Card for Model ID Original model elyza/ELYZA-japanese-Llama-2-7b-instruct which is based on Meta's \"Llama 2\" and has undergone additional pre-training in Japanese instruction.", - "url": "https://huggingface.co./dahara1/ELYZA-japanese-Llama-2-7b-instruct-AWQ", - "project_name": "ELYZA-japanese-Llama-2-7b-instruct-AWQ", + "description": "Cross-Encoder for Natural Language Inference(NLI) for Japanese This model was trained using SentenceTransformers Cross-Encoder class.", + "url": "https://huggingface.co./akiFQC/bert-base-japanese-v3_nli-jsnli-jnli-jsick", + "project_name": "bert-base-japanese-v3_nli-jsnli-jnli-jsick", "downloads": 16, "source": "Hugging Face", - "score": -0.10809271781121793, - "first_commit": "2023-09-08 08:35:31", - "latest_commit": "2023-09-17 04:24:55", + "score": -0.11419451576809228, + "first_commit": "2024-04-26 05:15:05", + "latest_commit": "2024-04-26 06:02:55", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.111, + "model_architectures": "BertForSequenceClassification" }, { - "description": "TakoMT", - "url": "https://huggingface.co./staka/takomt", - "project_name": "takomt", + "description": "Chat & support: TheBloke's Discord server Want to contribute?", + "url": "https://huggingface.co./TheBloke/japanese-stablelm-instruct-gamma-7B-GPTQ", + "project_name": "japanese-stablelm-instruct-gamma-7B-GPTQ", "downloads": 16, "source": "Hugging Face", - "score": -0.10809271781121793, - "first_commit": "2022-05-08 03:52:40", - "latest_commit": "2023-08-15 17:32:13", + "score": -0.11419451576809228, + "first_commit": "2023-10-28 19:03:17", + "latest_commit": "2023-10-28 20:24:40", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 1.2, + "model_architectures": "MistralForCausalLM" }, { - "description": "日本語ByT5事前学習済みモデル This is a ByT5 (a tokenizer-free extension of the Text-to-Text Transfer Transformer) model pretrained on Japanese corpus. ", - "url": "https://huggingface.co./sonoisa/byt5-small-japanese", - "project_name": "byt5-small-japanese", + "description": "Japanese GPT2 Lyric Model Model description", + "url": "https://huggingface.co./skytnt/gpt2-japanese-lyric-medium", + "project_name": "gpt2-japanese-lyric-medium", "downloads": 16, "source": "Hugging Face", - "score": -0.10809271781121793, - "first_commit": "2021-06-04 13:14:22", - "latest_commit": "2021-09-23 18:29:53", + "score": -0.11419451576809228, + "first_commit": "2022-07-08 13:28:12", + "latest_commit": "2023-10-21 14:53:57", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.361, + "model_architectures": "GPT2LMHeadModel" }, { "description": "It covers multiple fields such as tourism, medical treatment, daily life, news, etc. ", @@ -11639,467 +12065,475 @@ "project_name": "English-Japanese_Parallel_Corpus_Data", "downloads": 16, "source": "Hugging Face", - "score": -0.10809271781121793, + "score": -0.11419451576809228, "first_commit": "2023-11-08 10:47:40", "latest_commit": "2024-08-05 03:14:27", "languages": [], "model_or_dataset": "dataset", - "model_size": null - }, - { - "description": "固有表現ラベルはllm-book/ner-wikipedia-datasetと同様のものを採用しており、全部で8種類 (人名、法人名、地名、製品名、政治的組織名、施設名、その他の組織名、イベント名)あります。 ", - "url": "https://huggingface.co./datasets/llm-book/ner-wikinews-dataset", - "project_name": "ner-wikinews-dataset", - "downloads": 16, - "source": "Hugging Face", - "score": -0.10809271781121793, - "first_commit": "2023-04-22 14:32:21", - "latest_commit": "2023-12-12 11:22:26", - "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_size": null, + "model_architectures": null }, { - "description": "deberta-base-japanese-juman-ud-goeswith Model Description", - "url": "https://huggingface.co./KoichiYasuoka/deberta-base-japanese-juman-ud-goeswith", - "project_name": "deberta-base-japanese-juman-ud-goeswith", + "description": "Mistral-Nemo-Japanese-Instruct-2408 Model Description", + "url": "https://huggingface.co./cyberagent/Mistral-Nemo-Japanese-Instruct-2408", + "project_name": "Mistral-Nemo-Japanese-Instruct-2408", "downloads": 15, "source": "Hugging Face", - "score": -0.10810776757311932, - "first_commit": "2023-02-05 06:48:32", - "latest_commit": "2023-05-12 01:16:53", + "score": -0.1142102271247865, + "first_commit": "2024-08-30 03:57:43", + "latest_commit": "2024-08-30 04:03:41", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 12.2, + "model_architectures": "MistralForCausalLM" }, { - "description": "このモデルはdeberta-v2-base-japaneseをファインチューニングしてCommonsenseQA(選択式の質問)に用いれるようにしたものです。 ", - "url": "https://huggingface.co./Mizuiro-sakura/deberta-v2-japanese-base-finetuned-commonsenseqa", - "project_name": "deberta-v2-japanese-base-finetuned-commonsenseqa", + "description": "gpt2-small-japanese-ud-causal Model Description", + "url": "https://huggingface.co./KoichiYasuoka/gpt2-small-japanese-ud-causal", + "project_name": "gpt2-small-japanese-ud-causal", "downloads": 15, "source": "Hugging Face", - "score": -0.10810776757311932, - "first_commit": "2023-02-01 01:02:44", - "latest_commit": "2023-05-26 15:05:18", + "score": -0.1142102271247865, + "first_commit": "2024-08-22 13:33:02", + "latest_commit": "2024-08-25 17:54:09", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "GPT2ForTokenClassification" }, { "description": "Japanese Stable LM Instruct Gamma 7B Model Description", - "url": "https://huggingface.co./LoneStriker/stabilityai_japanese-stablelm-instruct-gamma-7b-4.0bpw-h6-exl2", - "project_name": "stabilityai_japanese-stablelm-instruct-gamma-7b-4.0bpw-h6-exl2", - "downloads": 15, - "source": "Hugging Face", - "score": -0.10810776757311932, - "first_commit": "2023-10-28 20:23:03", - "latest_commit": "2023-10-28 15:23:16", - "languages": [], - "model_or_dataset": "model", - "model_size": null - }, - { - "description": "Chat & support: TheBloke's Discord server Want to contribute?", - "url": "https://huggingface.co./TheBloke/japanese-stablelm-instruct-gamma-7B-AWQ", - "project_name": "japanese-stablelm-instruct-gamma-7B-AWQ", + "url": "https://huggingface.co./LoneStriker/stabilityai_japanese-stablelm-instruct-gamma-7b-3.0bpw-h6-exl2", + "project_name": "stabilityai_japanese-stablelm-instruct-gamma-7b-3.0bpw-h6-exl2", "downloads": 15, "source": "Hugging Face", - "score": -0.10810776757311932, - "first_commit": "2023-10-28 19:03:17", - "latest_commit": "2023-11-09 18:16:33", + "score": -0.1142102271247865, + "first_commit": "2023-10-28 20:16:15", + "latest_commit": "2023-10-28 15:16:25", "languages": [], "model_or_dataset": "model", - "model_size": 1.2 + "model_size": null, + "model_architectures": "MistralForCausalLM" }, { - "description": "Shisa 7B Shisa 7B (shisa-7b-v1)", - "url": "https://huggingface.co./LoneStriker/shisa-7b-v1-6.0bpw-h6-exl2", - "project_name": "shisa-7b-v1-6.0bpw-h6-exl2", + "description": "ELYZA-japanese-Llama-2-13b-fast-instruct-gguf ELYZA-japanese-Llama-2-13b-fast-instructの GGUF 変換モデルです。", + "url": "https://huggingface.co./schroneko/ELYZA-japanese-Llama-2-13b-fast-instruct-gguf", + "project_name": "ELYZA-japanese-Llama-2-13b-fast-instruct-gguf", "downloads": 15, "source": "Hugging Face", - "score": -0.10810776757311932, - "first_commit": "2023-12-07 18:14:46", - "latest_commit": "2023-12-07 18:58:23", + "score": -0.1142102271247865, + "first_commit": "2024-01-23 14:14:39", + "latest_commit": "2024-01-25 06:30:57", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 13.1, + "model_architectures": null }, { - "description": "Shisa 7B Shisa 7B (shisa-7b-v1)", - "url": "https://huggingface.co./LoneStriker/shisa-7b-v1-5.0bpw-h6-exl2", - "project_name": "shisa-7b-v1-5.0bpw-h6-exl2", + "description": "ELYZA-japanese-Llama-2-fast-MoE-2x7B-v0.1-GGUF 概要 Aratako/ELYZA-japanese-Llama-2-fast-MoE-2x7B-v0.1の量子化済みGGUF版です。", + "url": "https://huggingface.co./Aratako/ELYZA-japanese-Llama-2-fast-MoE-2x7B-v0.1-GGUF", + "project_name": "ELYZA-japanese-Llama-2-fast-MoE-2x7B-v0.1-GGUF", "downloads": 15, "source": "Hugging Face", - "score": -0.10810776757311932, - "first_commit": "2023-12-07 18:07:21", - "latest_commit": "2023-12-07 18:54:27", + "score": -0.1142102271247865, + "first_commit": "2024-03-07 13:21:38", + "latest_commit": "2024-03-07 13:47:58", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 11.2, + "model_architectures": null }, { "description": "SambaLingo-Japanese-Chat SambaLingo-Japanese-Chat is a human aligned chat model trained in Japanese and English.", - "url": "https://huggingface.co./LoneStriker/SambaLingo-Japanese-Chat-5.0bpw-h6-exl2", - "project_name": "SambaLingo-Japanese-Chat-5.0bpw-h6-exl2", + "url": "https://huggingface.co./LoneStriker/SambaLingo-Japanese-Chat-3.0bpw-h6-exl2", + "project_name": "SambaLingo-Japanese-Chat-3.0bpw-h6-exl2", "downloads": 15, "source": "Hugging Face", - "score": -0.10810776757311932, - "first_commit": "2024-03-07 06:53:27", - "latest_commit": "2024-03-07 06:55:27", + "score": -0.1142102271247865, + "first_commit": "2024-03-07 06:50:19", + "latest_commit": "2024-03-07 06:51:42", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "LlamaForCausalLM" }, { - "description": "Japanese Stable LM Instruct Gamma 7B Model Description", - "url": "https://huggingface.co./LoneStriker/stabilityai_japanese-stablelm-instruct-gamma-7b-5.0bpw-h6-exl2", - "project_name": "stabilityai_japanese-stablelm-instruct-gamma-7b-5.0bpw-h6-exl2", + "description": "Llama-3-8B-Instruct-JP-nk2t-v0.3 Model Details: Built with Meta Llama 3 llama-3-8bの日本語継続学習モデルにChatVectorを適用し、さらにQLoraでファインチューニングしたモデルです。 ", + "url": "https://huggingface.co./nk2t/Llama-3-8B-Instruct-japanese-nk2t-v0.3", + "project_name": "Llama-3-8B-Instruct-japanese-nk2t-v0.3", "downloads": 15, "source": "Hugging Face", - "score": -0.10810776757311932, - "first_commit": "2023-10-28 20:29:59", - "latest_commit": "2023-10-28 15:30:13", + "score": -0.1142102271247865, + "first_commit": "2024-05-15 12:24:06", + "latest_commit": "2024-05-22 11:02:28", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "LlamaForCausalLM" }, { - "description": "タイトルから記事本文を生成するモデル SEE: https://qiita.com/sonoisa/items/a9af64ff641f0bbfed44", - "url": "https://huggingface.co./sonoisa/t5-base-japanese-article-generation", - "project_name": "t5-base-japanese-article-generation", + "description": "zenz-v2 zenz-v2はGPT-2アーキテクチャに基づくかな漢字変換タスクに特化した言語モデルです。", + "url": "https://huggingface.co./Miwa-Keita/zenz-v2-gguf", + "project_name": "zenz-v2-gguf", "downloads": 15, "source": "Hugging Face", - "score": -0.10810776757311932, - "first_commit": "2021-04-03 13:55:25", - "latest_commit": "2024-04-17 11:39:12", + "score": -0.1142102271247865, + "first_commit": "2024-07-31 15:15:16", + "latest_commit": "2024-08-04 09:35:48", "languages": [], "model_or_dataset": "model", - "model_size": 0.223 + "model_size": 0.09509999999999999, + "model_architectures": null }, { - "description": "Japanese-Heron-Bench Dataset Description Japanese-Heron-Bench is a benchmark for evaluating Japanese VLMs (Vision-Language Models).", - "url": "https://huggingface.co./datasets/turing-motors/Japanese-Heron-Bench", - "project_name": "Japanese-Heron-Bench", + "description": "gpt2-large-japanese-ud-causal Model Description", + "url": "https://huggingface.co./KoichiYasuoka/gpt2-large-japanese-ud-causal", + "project_name": "gpt2-large-japanese-ud-causal", "downloads": 15, "source": "Hugging Face", - "score": -0.10810776757311932, - "first_commit": "2024-04-12 01:54:01", - "latest_commit": "2024-04-12 08:59:36", + "score": -0.1142102271247865, + "first_commit": "2024-08-25 00:35:43", + "latest_commit": "2024-08-29 17:08:21", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": null, + "model_architectures": "GPT2ForTokenClassification" }, { - "description": "deberta-large-japanese-wikipedia-luw-upos Model Description", - "url": "https://huggingface.co./KoichiYasuoka/deberta-large-japanese-wikipedia-luw-upos", - "project_name": "deberta-large-japanese-wikipedia-luw-upos", - "downloads": 14, + "description": "japanese-stablelm-instruct-gamma-7b-Mistral-7B-Instruct-v0.1 japanese-stablelm-instruct-gamma-7b-Mistral-7B-Instruct-v0.1 is a merge of the following models: mistralai/Mistral-7B-Instruct-v0.1 stabilityai/japanese-stablelm-instruct-gamma-7b 🧩 Configuration slices: - sources: - model: mistralai/Mistral-7B-Instruct-v0.1 layer_range:", + "url": "https://huggingface.co./MaziyarPanahi/japanese-stablelm-instruct-gamma-7b-Mistral-7B-Instruct-v0.1", + "project_name": "japanese-stablelm-instruct-gamma-7b-Mistral-7B-Instruct-v0.1", + "downloads": 15, "source": "Hugging Face", - "score": -0.10812281733502072, - "first_commit": "2022-07-06 03:15:12", - "latest_commit": "2024-08-20 17:54:58", + "score": -0.1142102271247865, + "first_commit": "2024-01-16 12:23:01", + "latest_commit": "2024-01-16 12:27:54", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 7.24, + "model_architectures": "MistralForCausalLM" }, { - "description": "roberta-base-japanese-aozora Model Description", - "url": "https://huggingface.co./KoichiYasuoka/roberta-base-japanese-aozora", - "project_name": "roberta-base-japanese-aozora", - "downloads": 14, + "description": "Shisa 7B Shisa 7B (shisa-7b-v1)", + "url": "https://huggingface.co./LoneStriker/shisa-7b-v1-3.0bpw-h6-exl2", + "project_name": "shisa-7b-v1-3.0bpw-h6-exl2", + "downloads": 15, "source": "Hugging Face", - "score": -0.10812281733502072, - "first_commit": "2021-12-21 00:04:03", - "latest_commit": "2022-10-15 14:20:11", + "score": -0.1142102271247865, + "first_commit": "2023-12-07 17:52:29", + "latest_commit": "2023-12-07 18:54:23", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "MistralForCausalLM" }, { - "description": "bert-base-japanese-luw-upos Model Description", - "url": "https://huggingface.co./KoichiYasuoka/bert-base-japanese-luw-upos", - "project_name": "bert-base-japanese-luw-upos", - "downloads": 14, + "description": "whisper-large-v2-jp model for CTranslate2 This repository contains the conversion of vumichien/whisper-large-v2-jp to the CTranslate2 model format.", + "url": "https://huggingface.co./arc-r/faster-whisper-large-v2-jp", + "project_name": "faster-whisper-large-v2-jp", + "downloads": 15, "source": "Hugging Face", - "score": -0.10812281733502072, - "first_commit": "2021-10-26 13:26:38", - "latest_commit": "2022-09-18 19:43:18", + "score": -0.1142102271247865, + "first_commit": "2023-07-07 06:16:06", + "latest_commit": "2023-07-07 18:09:09", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": null }, { - "description": "deberta-large-japanese-upos Model Description", - "url": "https://huggingface.co./KoichiYasuoka/deberta-large-japanese-upos", - "project_name": "deberta-large-japanese-upos", - "downloads": 14, + "description": "ku-accms/bert-base-japanese-ssuw Model description This is a pre-trained Japanese BERT base model for super short unit words (SSUW).", + "url": "https://huggingface.co./ku-accms/bert-base-japanese-ssuw", + "project_name": "bert-base-japanese-ssuw", + "downloads": 15, "source": "Hugging Face", - "score": -0.10812281733502072, - "first_commit": "2022-05-27 06:50:55", - "latest_commit": "2024-07-26 16:00:59", + "score": -0.1142102271247865, + "first_commit": "2023-04-11 13:57:30", + "latest_commit": "2023-04-12 04:40:42", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "BertForMaskedLM" }, { "description": "japanese-gpt2-medium-unidic This is a medium-sized Japanese GPT-2 model using BERT-like tokenizer.", "url": "https://huggingface.co./okazaki-lab/japanese-gpt2-medium-unidic", "project_name": "japanese-gpt2-medium-unidic", - "downloads": 14, + "downloads": 15, "source": "Hugging Face", - "score": -0.10812281733502072, + "score": -0.1142102271247865, "first_commit": "2023-02-27 05:42:22", "latest_commit": "2023-03-22 06:22:32", "languages": [], "model_or_dataset": "model", - "model_size": 0.362 + "model_size": 0.362, + "model_architectures": "GPT2LMHeadModel" }, { - "description": "Model Card for Model ID", - "url": "https://huggingface.co./kkuramitsu/mt5-mini9L", - "project_name": "mt5-mini9L", - "downloads": 14, + "description": "deberta-base-japanese-wikipedia-luw-upos Model Description", + "url": "https://huggingface.co./KoichiYasuoka/deberta-base-japanese-wikipedia-luw-upos", + "project_name": "deberta-base-japanese-wikipedia-luw-upos", + "downloads": 15, "source": "Hugging Face", - "score": -0.10812281733502072, - "first_commit": "2023-03-30 01:11:17", - "latest_commit": "2023-10-15 10:56:23", + "score": -0.1142102271247865, + "first_commit": "2022-06-25 06:28:11", + "latest_commit": "2024-08-20 17:53:34", "languages": [], "model_or_dataset": "model", - "model_size": 0.08040000000000001 + "model_size": null, + "model_architectures": "DebertaV2ForTokenClassification" }, { - "description": "Model card for model ID", - "url": "https://huggingface.co./retrieva-jp/t5-large-medium", - "project_name": "t5-large-medium", - "downloads": 14, + "description": "japanese-soseki-gpt2-1b", + "url": "https://huggingface.co./jweb/japanese-soseki-gpt2-1b", + "project_name": "japanese-soseki-gpt2-1b", + "downloads": 15, "source": "Hugging Face", - "score": -0.10812281733502072, - "first_commit": "2023-04-26 08:31:45", - "latest_commit": "2023-05-10 10:00:45", + "score": -0.1142102271247865, + "first_commit": "2022-03-03 04:53:15", + "latest_commit": "2023-03-27 12:09:04", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "GPT2LMHeadModel" }, { - "description": "このモデルはdeberta-v2-tiny-japaneseをファインチューニングしてCommonsenseQA(選択式の質問)に用いれるようにしたものです。 ", - "url": "https://huggingface.co./Mizuiro-sakura/deberta-v2-japanese-tiny-finetuned-commonsenseqa", - "project_name": "deberta-v2-japanese-tiny-finetuned-commonsenseqa", - "downloads": 14, + "description": "タイトルから記事本文を生成するモデル SEE: https://qiita.com/sonoisa/items/a9af64ff641f0bbfed44", + "url": "https://huggingface.co./sonoisa/t5-base-japanese-article-generation", + "project_name": "t5-base-japanese-article-generation", + "downloads": 15, "source": "Hugging Face", - "score": -0.10812281733502072, - "first_commit": "2023-05-11 10:28:33", - "latest_commit": "2023-05-26 15:01:57", + "score": -0.1142102271247865, + "first_commit": "2021-04-03 13:55:25", + "latest_commit": "2024-04-17 11:39:12", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.223, + "model_architectures": "T5ForConditionalGeneration" }, { - "description": "Only for Japanese Please use AutoTokenizer and AutoModelForCausalLM And must use Unifine format to input and output. ", - "url": "https://huggingface.co./ganchengguang/USA-7B-instruction-incontext-learning", - "project_name": "USA-7B-instruction-incontext-learning", - "downloads": 14, + "description": "TinySlime-1.1B-Chat-v1.0 TinySlime は日本語に特化した小規模言語モデルです。 ", + "url": "https://huggingface.co./2121-8/TinySlime-1.1B-Chat-v1.0", + "project_name": "TinySlime-1.1B-Chat-v1.0", + "downloads": 15, "source": "Hugging Face", - "score": -0.10812281733502072, - "first_commit": "2023-09-13 16:15:06", - "latest_commit": "2023-11-17 16:44:57", + "score": -0.1142102271247865, + "first_commit": "2024-07-02 03:34:30", + "latest_commit": "2024-07-02 08:53:11", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 1.1, + "model_architectures": "LlamaForCausalLM" }, { - "description": "COMET-GPT2 ja v2 Finetuned GPT-2 xl on the large version of ATOMIC ja using a causal language modeling (CLM) objective.", - "url": "https://huggingface.co./nlp-waseda/comet-gpt2-xl-japanese", - "project_name": "comet-gpt2-xl-japanese", - "downloads": 14, + "description": "モデルについて Qwen/Qwen1.5-0.5Bを日英データ5Bトークンで継続事前学習したモデルです。 ", + "url": "https://huggingface.co./Kendamarron/Tokara-0.5B-v0.1", + "project_name": "Tokara-0.5B-v0.1", + "downloads": 15, "source": "Hugging Face", - "score": -0.10812281733502072, - "first_commit": "2023-09-26 13:37:52", - "latest_commit": "2024-03-11 04:16:02", + "score": -0.1142102271247865, + "first_commit": "2024-05-06 11:39:26", + "latest_commit": "2024-05-08 12:44:05", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.464, + "model_architectures": "Qwen2ForCausalLM" }, { - "description": "お知らせ より回答が適切になるように学習させたモデル、https://huggingface.co./hotchpotch/youri-7b-stf-qa-context-jaqket-jsquad-gptq もあります。 ", - "url": "https://huggingface.co./hotchpotch/youri-7b-sft-qa-context-jaqket-gptq", - "project_name": "youri-7b-sft-qa-context-jaqket-gptq", - "downloads": 14, + "description": "自動生成Q&A 種々のデータソースから､MaziyarPanahi/Mixtral-8x22B-Instruct-v0.1-GGUFを使ってQ&Aを自動生成したものです｡ CC-BY系またはApatch-2.0のデータソースを改変して生成しています。 ", + "url": "https://huggingface.co./datasets/hatakeyama-llm-team/AutoGeneratedJapaneseQA", + "project_name": "AutoGeneratedJapaneseQA", + "downloads": 15, "source": "Hugging Face", - "score": -0.10812281733502072, - "first_commit": "2023-12-08 03:51:28", - "latest_commit": "2024-02-25 06:40:05", + "score": -0.1142102271247865, + "first_commit": "2024-04-27 04:32:20", + "latest_commit": "2024-05-19 03:22:08", "languages": [], - "model_or_dataset": "model", - "model_size": null + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null }, { - "description": "japanese-novel-gpt-j-6b https://huggingface.co./AIBunCho/japanese-novel-gpt-j-6b\" に合計216個の評価の高い���ろう小説、青空文庫、ウィキペディアなどの文章をQLoRA学習させた小説生成用モデルです。 ", - "url": "https://huggingface.co./akineAItech/Jeneri-SAMA-6B", - "project_name": "Jeneri-SAMA-6B", + "description": "BERT base Japanese model This repository contains a BERT base model trained on Japanese Wikipedia dataset.", + "url": "https://huggingface.co./colorfulscoop/bert-base-ja", + "project_name": "bert-base-ja", "downloads": 14, "source": "Hugging Face", - "score": -0.10812281733502072, - "first_commit": "2024-02-25 10:30:06", - "latest_commit": "2024-03-16 15:00:14", + "score": -0.11422593848148072, + "first_commit": "2021-07-30 10:11:35", + "latest_commit": "2021-09-23 15:46:05", "languages": [], "model_or_dataset": "model", - "model_size": 6.05 + "model_size": null, + "model_architectures": "BertForPreTraining" }, { - "description": "モデルについて Qwen/Qwen1.5-0.5Bを日英データ5Bトークンで継続事前学習したTokara-0.5B-v0.1にchat vectorで対話能力を加えたモデルになります。 ", - "url": "https://huggingface.co./Kendamarron/Tokara-0.5B-Chat-v0.1", - "project_name": "Tokara-0.5B-Chat-v0.1", + "description": "nlp-waseda/gpt2-small-japanese-wikipedia This model is Japanese GPT-2 pretrained on Japanese Wikipedia.", + "url": "https://huggingface.co./nlp-waseda/gpt2-small-japanese-wikipedia", + "project_name": "gpt2-small-japanese-wikipedia", "downloads": 14, "source": "Hugging Face", - "score": -0.10812281733502072, - "first_commit": "2024-05-06 15:47:55", - "latest_commit": "2024-05-08 13:30:12", + "score": -0.11422593848148072, + "first_commit": "2021-12-28 01:22:40", + "latest_commit": "2021-12-28 15:31:38", "languages": [], "model_or_dataset": "model", - "model_size": 0.464 + "model_size": null, + "model_architectures": "GPT2LMHeadModel" }, { - "description": "Overview This model is based on rinna's [rinna/llama-3-youko-8b], fine-tuned using LoRA on a small number of parallel sentences from English to Japanese.", - "url": "https://huggingface.co./lyu-boxuan/llama-3-youko-8b-En-Ja-MT-LoRA", - "project_name": "llama-3-youko-8b-En-Ja-MT-LoRA", + "description": "deberta-large-japanese-aozora-ud-head Model Description", + "url": "https://huggingface.co./KoichiYasuoka/deberta-large-japanese-aozora-ud-head", + "project_name": "deberta-large-japanese-aozora-ud-head", "downloads": 14, "source": "Hugging Face", - "score": -0.10812281733502072, - "first_commit": "2024-05-10 14:33:57", - "latest_commit": "2024-05-21 14:54:46", + "score": -0.11422593848148072, + "first_commit": "2022-06-17 15:00:25", + "latest_commit": "2023-03-04 20:17:12", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": null, + "model_architectures": "DebertaV2ForQuestionAnswering" }, { - "description": "Sarashina2-7B Instruct sarashina2-7Bを会話できるようにフルファインチューニングしたものです。", - "url": "https://huggingface.co./alfredplpl/sarashina2-7b-it", - "project_name": "sarashina2-7b-it", + "description": "このモデルはdeberta-v2-base-japaneseをファインチューニングして固有表現抽出（NER）に用いれるようにしたものです。 ", + "url": "https://huggingface.co./Mizuiro-sakura/deberta-v2-base-japanese-finetuned-ner", + "project_name": "deberta-v2-base-japanese-finetuned-ner", "downloads": 14, "source": "Hugging Face", - "score": -0.10812281733502072, - "first_commit": "2024-06-12 02:24:28", - "latest_commit": "2024-06-12 03:00:35", + "score": -0.11422593848148072, + "first_commit": "2023-01-20 05:57:37", + "latest_commit": "2023-03-27 08:05:06", "languages": [], "model_or_dataset": "model", - "model_size": 7.32 + "model_size": 0.112, + "model_architectures": "DebertaV2ForTokenClassification" }, { - "description": "ChatGLM3-6B是一个中英双语大模型，本项目为ChatGLM3-6B加入日文能力。", - "url": "https://huggingface.co./dummy-foo/ChatGLM3-Japanese", - "project_name": "ChatGLM3-Japanese", + "description": "このモデルはdeberta-v2-tiny-japaneseをファインチューニングしてQAタスクに用いれるようにしたものです。 ", + "url": "https://huggingface.co./Mizuiro-sakura/deberta-v2-tiny-japanese-finetuned-QA", + "project_name": "deberta-v2-tiny-japanese-finetuned-QA", "downloads": 14, "source": "Hugging Face", - "score": -0.10812281733502072, - "first_commit": "2024-05-31 22:51:11", - "latest_commit": "2024-06-09 15:37:04", + "score": -0.11422593848148072, + "first_commit": "2023-05-11 10:34:38", + "latest_commit": "2023-05-11 10:38:32", "languages": [], "model_or_dataset": "model", - "model_size": 6.35 + "model_size": null, + "model_architectures": "DebertaV2ForQuestionAnswering" }, { - "description": "SambaLingo-Japanese-Chat SambaLingo-Japanese-Chat is a human aligned chat model trained in Japanese and English.", - "url": "https://huggingface.co./LoneStriker/SambaLingo-Japanese-Chat-4.0bpw-h6-exl2", - "project_name": "SambaLingo-Japanese-Chat-4.0bpw-h6-exl2", + "description": "Model Card for Japanese DeBERTa V2 base Model description This is a Japanese DeBERTa V2 base model pre-trained on Japanese Wikipedia, the Japanese portion of CC-100, and the Japanese portion of OSCAR.", + "url": "https://huggingface.co./ku-nlp/deberta-v2-base-japanese-with-auto-jumanpp", + "project_name": "deberta-v2-base-japanese-with-auto-jumanpp", "downloads": 14, "source": "Hugging Face", - "score": -0.10812281733502072, - "first_commit": "2024-03-07 06:51:43", - "latest_commit": "2024-03-07 06:53:26", + "score": -0.11422593848148072, + "first_commit": "2023-09-07 06:04:29", + "latest_commit": "2023-11-20 06:00:08", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.137, + "model_architectures": "DebertaV2ForMaskedLM" }, { - "description": "In-progess long-context Japanese-English translation model based on tinyllama.", - "url": "https://huggingface.co./NilanE/tinyllama-en_ja-translation-v2", - "project_name": "tinyllama-en_ja-translation-v2", + "description": "COMET-GPT2 ja v2 Finetuned GPT-2 xl on the large version of ATOMIC ja using a causal language modeling (CLM) objective.", + "url": "https://huggingface.co./nlp-waseda/comet-gpt2-xl-japanese", + "project_name": "comet-gpt2-xl-japanese", "downloads": 14, "source": "Hugging Face", - "score": -0.10812281733502072, - "first_commit": "2024-03-06 16:45:44", - "latest_commit": "2024-03-28 16:36:13", + "score": -0.11422593848148072, + "first_commit": "2023-09-26 13:37:52", + "latest_commit": "2024-03-11 04:16:02", "languages": [], "model_or_dataset": "model", - "model_size": 1.1 + "model_size": null, + "model_architectures": "GPT2LMHeadModel" }, { - "description": "This model is a voice clone of myself created specifically for Style Bert VITS2.", - "url": "https://huggingface.co./ThePioneer/MyVoiceClone-Style-Bert-VITS2", - "project_name": "MyVoiceClone-Style-Bert-VITS2", + "description": "ELYZA-japanese-Llama-2-MoE-2x13B-v0.1-GGUF 概要 Aratako/ELYZA-japanese-Llama-2-MoE-2x13B-v0.1の量子化済みGGUF版です。", + "url": "https://huggingface.co./Aratako/ELYZA-japanese-Llama-2-MoE-2x13B-v0.1-GGUF", + "project_name": "ELYZA-japanese-Llama-2-MoE-2x13B-v0.1-GGUF", "downloads": 14, "source": "Hugging Face", - "score": -0.10812281733502072, - "first_commit": "2024-02-29 19:34:12", - "latest_commit": "2024-03-04 10:43:27", + "score": -0.11422593848148072, + "first_commit": "2024-03-03 12:51:40", + "latest_commit": "2024-03-03 13:39:01", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 21.5, + "model_architectures": null }, { - "description": "お知らせ より回答が適切になるように学習させたモデル、https://huggingface.co./hotchpotch/youri-7b-stf-qa-context-jaqket-jsquad-gptq もあります。 ", - "url": "https://huggingface.co./hotchpotch/youri-7b-sft-qa-context-jaqket-awq", - "project_name": "youri-7b-sft-qa-context-jaqket-awq", + "description": "SambaLingo-Japanese-Chat SambaLingo-Japanese-Chat is a human aligned chat model trained in Japanese and English.", + "url": "https://huggingface.co./LoneStriker/SambaLingo-Japanese-Chat-5.0bpw-h6-exl2", + "project_name": "SambaLingo-Japanese-Chat-5.0bpw-h6-exl2", "downloads": 14, "source": "Hugging Face", - "score": -0.10812281733502072, - "first_commit": "2023-12-10 08:52:23", - "latest_commit": "2024-02-25 06:40:30", + "score": -0.11422593848148072, + "first_commit": "2024-03-07 06:53:27", + "latest_commit": "2024-03-07 06:55:27", "languages": [], "model_or_dataset": "model", - "model_size": 1.13 + "model_size": null, + "model_architectures": "LlamaForCausalLM" }, { - "description": "Chat & support: TheBloke's Discord server Want to contribute?", - "url": "https://huggingface.co./TheBloke/japanese-stablelm-instruct-beta-7B-AWQ", - "project_name": "japanese-stablelm-instruct-beta-7B-AWQ", + "description": "gpt2-large-japanese-upos Model Description", + "url": "https://huggingface.co./KoichiYasuoka/gpt2-large-japanese-upos", + "project_name": "gpt2-large-japanese-upos", "downloads": 14, "source": "Hugging Face", - "score": -0.10812281733502072, - "first_commit": "2023-11-03 01:04:31", - "latest_commit": "2023-11-09 18:16:12", + "score": -0.11422593848148072, + "first_commit": "2024-06-22 22:44:06", + "latest_commit": "2024-07-27 07:49:47", "languages": [], "model_or_dataset": "model", - "model_size": 1.13 + "model_size": null, + "model_architectures": "GPT2ForTokenClassification" }, { - "description": "◆REV-Mix \"レボリューション\"なモデルです。 ", - "url": "https://huggingface.co./Hemlok/REV-Mix", - "project_name": "REV-Mix", + "description": "bart-large-japanese This model is converted from the original Japanese BART Pretrained model released by Kyoto University.", + "url": "https://huggingface.co./Formzu/bart-large-japanese", + "project_name": "bart-large-japanese", "downloads": 14, "source": "Hugging Face", - "score": -0.10812281733502072, - "first_commit": "2023-08-06 17:04:53", - "latest_commit": "2023-08-26 16:19:02", + "score": -0.11422593848148072, + "first_commit": "2022-10-31 06:53:19", + "latest_commit": "2022-11-07 12:06:32", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "MBartForConditionalGeneration" }, { - "description": "deberta-base-japanese-upos Model Description", - "url": "https://huggingface.co./KoichiYasuoka/deberta-base-japanese-upos", - "project_name": "deberta-base-japanese-upos", + "description": "ku-nlp/roberta-large-japanese-char-wwm Model description This is a Japanese RoBERTa large model pre-trained on Japanese Wikipedia and the Japanese portion of CC-100.", + "url": "https://huggingface.co./ku-nlp/roberta-large-japanese-char-wwm", + "project_name": "roberta-large-japanese-char-wwm", "downloads": 14, "source": "Hugging Face", - "score": -0.10812281733502072, - "first_commit": "2022-05-24 08:12:05", - "latest_commit": "2024-07-26 15:59:24", + "score": -0.11422593848148072, + "first_commit": "2022-09-18 08:10:44", + "latest_commit": "2023-03-19 01:58:12", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.323, + "model_architectures": "RobertaForMaskedLM" }, { - "description": "Details: https://spacy.io/models/ja#ja_core_news_lg Japanese pipeline optimized for CPU.", - "url": "https://huggingface.co./spacy/ja_core_news_lg", - "project_name": "ja_core_news_lg", + "description": "deberta-large-japanese-wikipedia Model Description", + "url": "https://huggingface.co./KoichiYasuoka/deberta-large-japanese-wikipedia", + "project_name": "deberta-large-japanese-wikipedia", "downloads": 14, "source": "Hugging Face", - "score": -0.10812281733502072, - "first_commit": "2021-07-07 12:08:11", - "latest_commit": "2023-10-10 06:46:01", + "score": -0.11422593848148072, + "first_commit": "2022-07-05 22:01:16", + "latest_commit": "2023-02-27 10:15:35", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "DebertaV2ForMaskedLM" }, { "description": "Google's mt5-base fine-tuned in Japanese to summarize patent claims in a limited Pharmaceutical domain. ", @@ -12107,519 +12541,531 @@ "project_name": "mt5base-finetuned-patentsum-japanese-small", "downloads": 14, "source": "Hugging Face", - "score": -0.10812281733502072, + "score": -0.11422593848148072, "first_commit": "2021-04-10 00:31:15", "latest_commit": "2022-05-19 06:50:32", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "MT5ForConditionalGeneration" }, { - "description": "The JaNLI (Japanese Adversarial NLI) dataset, inspired by the English HANS dataset, is designed to necessitate an understanding of Japanese linguistic phenomena and to illuminate the vulnerabilities of models.", - "url": "https://huggingface.co./datasets/hpprc/janli", - "project_name": "janli", + "description": "roberta-large-japanese-aozora Model Description", + "url": "https://huggingface.co./KoichiYasuoka/roberta-large-japanese-aozora", + "project_name": "roberta-large-japanese-aozora", "downloads": 14, "source": "Hugging Face", - "score": -0.10812281733502072, - "first_commit": "2023-04-05 12:25:01", - "latest_commit": "2023-04-11 13:40:37", + "score": -0.11422593848148072, + "first_commit": "2021-12-26 13:08:52", + "latest_commit": "2022-10-15 14:22:11", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": null, + "model_architectures": "RobertaForMaskedLM" }, { - "description": "cosmopedia-japanese-20kのデータに、kunishou様から20k-100kをご提供いただけることになり100kまで拡大しました。 ", - "url": "https://huggingface.co./datasets/aixsatoshi/cosmopedia-japanese-100k", - "project_name": "cosmopedia-japanese-100k", + "description": "Danbooru2023:", + "url": "https://huggingface.co./datasets/nyanko7/danbooru2023", + "project_name": "danbooru2023", "downloads": 14, "source": "Hugging Face", - "score": -0.10812281733502072, - "first_commit": "2024-03-03 16:06:15", - "latest_commit": "2024-03-03 16:20:35", + "score": -0.11422593848148072, + "first_commit": "2024-01-07 19:51:58", + "latest_commit": "2024-05-22 18:43:24", "languages": [], "model_or_dataset": "dataset", - "model_size": null - }, - { - "description": "gpt2-small-japanese-ud-causal Model Description", - "url": "https://huggingface.co./KoichiYasuoka/gpt2-small-japanese-ud-causal", - "project_name": "gpt2-small-japanese-ud-causal", - "downloads": 13, - "source": "Hugging Face", - "score": -0.10813786709692211, - "first_commit": "2024-08-22 13:33:02", - "latest_commit": "2024-08-25 17:54:09", - "languages": [], - "model_or_dataset": "model", - "model_size": null - }, - { - "description": "bert-large-japanese-unidic-luw-upos Model Description", - "url": "https://huggingface.co./KoichiYasuoka/bert-large-japanese-unidic-luw-upos", - "project_name": "bert-large-japanese-unidic-luw-upos", - "downloads": 13, - "source": "Hugging Face", - "score": -0.10813786709692211, - "first_commit": "2022-02-13 01:00:41", - "latest_commit": "2023-11-05 18:44:20", - "languages": [], - "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": null }, { - "description": "ELECTRA small Japanese generator This is a ELECTRA model pretrained on texts in the Japanese language.", - "url": "https://huggingface.co./izumi-lab/electra-small-japanese-generator", - "project_name": "electra-small-japanese-generator", - "downloads": 13, + "description": "固有表現ラベルはllm-book/ner-wikipedia-datasetと同様のものを採用しており、全部で8種類 (人名、法人名、地名、製品名、政治的組織名、施設名、その他の組織名、イベント名)あります。 ", + "url": "https://huggingface.co./datasets/llm-book/ner-wikinews-dataset", + "project_name": "ner-wikinews-dataset", + "downloads": 14, "source": "Hugging Face", - "score": -0.10813786709692211, - "first_commit": "2021-10-04 13:43:37", - "latest_commit": "2023-10-21 13:21:28", + "score": -0.11422593848148072, + "first_commit": "2023-04-22 14:32:21", + "latest_commit": "2023-12-12 11:22:26", "languages": [], - "model_or_dataset": "model", - "model_size": 0.013800000000000002 + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null }, - { - "description": "ELECTRA small Japanese discriminator This is a ELECTRA model pretrained on texts in the Japanese language.", - "url": "https://huggingface.co./izumi-lab/electra-small-japanese-discriminator", - "project_name": "electra-small-japanese-discriminator", - "downloads": 13, + { + "description": "GitHub リポジトリ singletongue/wikipedia-utils で公開されているデータセットを利用しています。 ", + "url": "https://huggingface.co./datasets/llm-book/jawiki-paragraphs", + "project_name": "jawiki-paragraphs", + "downloads": 14, "source": "Hugging Face", - "score": -0.10813786709692211, - "first_commit": "2021-10-04 13:42:57", - "latest_commit": "2022-12-09 00:41:39", + "score": -0.11422593848148072, + "first_commit": "2023-06-03 03:04:05", + "latest_commit": "2023-06-03 03:04:43", "languages": [], - "model_or_dataset": "model", - "model_size": null + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null }, { - "description": "このモデルはluke-japanese-baseをファインチューニングして、JNLI(文章の関係性判別)に用いれるようにしたものです。 ", - "url": "https://huggingface.co./Mizuiro-sakura/luke-japanese-base-finetuned-jnli", - "project_name": "luke-japanese-base-finetuned-jnli", - "downloads": 13, + "description": "Amenokaku-Code-Instruct Update: 2023/12/27データセットに JaxTon , プロになるJava のコードデータ 180 レコードを追加しました。 ", + "url": "https://huggingface.co./datasets/kunishou/amenokaku-code-instruct", + "project_name": "amenokaku-code-instruct", + "downloads": 14, "source": "Hugging Face", - "score": -0.10813786709692211, - "first_commit": "2023-02-11 18:39:14", - "latest_commit": "2023-07-21 14:09:44", + "score": -0.11422593848148072, + "first_commit": "2023-10-01 01:04:50", + "latest_commit": "2024-04-01 17:01:54", "languages": [], - "model_or_dataset": "model", - "model_size": 0.279 + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null }, { - "description": "MPT-7B-inst このモデルは、MosaicMLのllm-foundryリポジトリを使用してmosaicml/mpt-7b-instructをファインチューニングしたモデルです。 ", - "url": "https://huggingface.co./Jumtra/mpt-7b-inst", - "project_name": "mpt-7b-inst", + "description": "bert-base-japanese-luw-upos Model Description", + "url": "https://huggingface.co./KoichiYasuoka/bert-base-japanese-luw-upos", + "project_name": "bert-base-japanese-luw-upos", "downloads": 13, "source": "Hugging Face", - "score": -0.10813786709692211, - "first_commit": "2023-05-24 14:22:33", - "latest_commit": "2023-06-26 01:09:06", + "score": -0.11424164983817493, + "first_commit": "2021-10-26 13:26:38", + "latest_commit": "2022-09-18 19:43:18", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "BertForTokenClassification" }, { - "description": "OpenCALM-LARGE Model Description OpenCALM is a suite of decoder-only language models pre-trained on Japanese datasets, developed by CyberAgent, Inc. ", - "url": "https://huggingface.co./Mizuiro-sakura/open-calm-large-finetuned-databricks-dolly", - "project_name": "open-calm-large-finetuned-databricks-dolly", + "description": "ELECTRA small Japanese generator This is a ELECTRA model pretrained on texts in the Japanese language.", + "url": "https://huggingface.co./izumi-lab/electra-small-japanese-generator", + "project_name": "electra-small-japanese-generator", "downloads": 13, "source": "Hugging Face", - "score": -0.10813786709692211, - "first_commit": "2023-06-26 13:37:53", - "latest_commit": "2023-07-02 14:30:47", + "score": -0.11424164983817493, + "first_commit": "2021-10-04 13:43:37", + "latest_commit": "2023-10-21 13:21:28", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.013800000000000002, + "model_architectures": "ElectraForMaskedLM" }, { - "description": "This model is traned with guanaco dataset.", - "url": "https://huggingface.co./ganchengguang/Yoko-7B-Japanese-v1", - "project_name": "Yoko-7B-Japanese-v1", + "description": "deberta-large-japanese-unidic Model Description", + "url": "https://huggingface.co./KoichiYasuoka/deberta-large-japanese-unidic", + "project_name": "deberta-large-japanese-unidic", "downloads": 13, "source": "Hugging Face", - "score": -0.10813786709692211, - "first_commit": "2023-08-10 13:01:38", - "latest_commit": "2023-08-10 13:11:05", + "score": -0.11424164983817493, + "first_commit": "2022-06-10 12:49:12", + "latest_commit": "2022-06-19 09:15:35", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "DebertaV2ForMaskedLM" }, { - "description": "日本語でtrainingしたllama2 model size: 130.78M trainingは以下のscript参照 https://github.com/Lightning-AI/lit-gpt/tree/main use from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained(\"if001/sentencepiece_ja\", trust_remote_code=True) model = AutoModelForCausalLM.from_pretrained(\"if001/llama2_ja_ss\")", - "url": "https://huggingface.co./if001/llama2_ja_ss", - "project_name": "llama2_ja_ss", + "description": "Model Card for Model ID", + "url": "https://huggingface.co./kkuramitsu/mt5-mini9L", + "project_name": "mt5-mini9L", "downloads": 13, "source": "Hugging Face", - "score": -0.10813786709692211, - "first_commit": "2023-10-16 04:12:34", - "latest_commit": "2023-10-16 13:49:48", + "score": -0.11424164983817493, + "first_commit": "2023-03-30 01:11:17", + "latest_commit": "2023-10-15 10:56:23", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.08040000000000001, + "model_architectures": "MT5ForConditionalGeneration" }, { - "description": "Model description Cyberagent様のcyberagent/calm2-7b-chatを追加学習した、作家さん用アシスタントAIのアルファ版です。 ", - "url": "https://huggingface.co./falche/opennovel_oc2_01a_7b", - "project_name": "opennovel_oc2_01a_7b", + "description": "このモデルはdeberta-v2-large-japaneseをファインチューニングして固有表現抽出（NER）に用いれるようにしたものです。 ", + "url": "https://huggingface.co./Mizuiro-sakura/deberta-v2-large-japanese-finetuned-ner", + "project_name": "deberta-v2-large-japanese-finetuned-ner", "downloads": 13, "source": "Hugging Face", - "score": -0.10813786709692211, - "first_commit": "2023-12-09 13:36:32", - "latest_commit": "2023-12-09 15:19:57", + "score": -0.11424164983817493, + "first_commit": "2023-05-10 13:22:23", + "latest_commit": "2023-07-21 14:10:02", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.339, + "model_architectures": "DebertaV2ForTokenClassification" }, { - "description": "Orion-14B 🌐English | 🇨", - "url": "https://huggingface.co./zaq-hack/Orion-14B-LongChat-bpw600-h6-exl2", - "project_name": "Orion-14B-LongChat-bpw600-h6-exl2", + "description": "TaCOMET_ja", + "url": "https://huggingface.co./nlp-waseda/tacomet-gpt2-xl-japanese", + "project_name": "tacomet-gpt2-xl-japanese", "downloads": 13, "source": "Hugging Face", - "score": -0.10813786709692211, - "first_commit": "2024-01-25 16:58:27", - "latest_commit": "2024-01-25 21:01:29", + "score": -0.11424164983817493, + "first_commit": "2024-03-07 11:50:15", + "latest_commit": "2024-06-05 09:41:05", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "GPT2LMHeadModel" }, { - "description": "The English document is here モデル概要 Watashiha-Llama-2-13B-Ogiri-sftをAWSのinf2インスタンスで動作するようにコンパイルされたモデルです。 ", - "url": "https://huggingface.co./watashiha/Watashiha-Llama-2-13B-Ogiri-sft-neuron", - "project_name": "Watashiha-Llama-2-13B-Ogiri-sft-neuron", + "description": "SambaLingo-Japanese-Chat SambaLingo-Japanese-Chat is a human aligned chat model trained in Japanese and English.", + "url": "https://huggingface.co./LoneStriker/SambaLingo-Japanese-Chat-4.0bpw-h6-exl2", + "project_name": "SambaLingo-Japanese-Chat-4.0bpw-h6-exl2", "downloads": 13, "source": "Hugging Face", - "score": -0.10813786709692211, - "first_commit": "2024-01-24 19:05:34", - "latest_commit": "2024-02-02 06:39:21", + "score": -0.11424164983817493, + "first_commit": "2024-03-07 06:51:43", + "latest_commit": "2024-03-07 06:53:26", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "LlamaForCausalLM" }, { - "description": "モデル概要 Watashiha-Llama-2-13B-Ogiri-sftをLLaVAで学習し、画像に対応した大喜利言語モデルです。", - "url": "https://huggingface.co./watashiha/Watashiha-Llama-2-13B-Ogiri-sft-vlm", - "project_name": "Watashiha-Llama-2-13B-Ogiri-sft-vlm", + "description": "Our Models Vecteus Ninja-v1 Ninja-v1-NSFW Ninja-v1-128k Ninja-v1-NSFW-128k Model Card for Ninja-v1.0 The Mistral-7B--based Large Language Model (LLM) is an noveldataset fine-tuned version of the Mistral-7B-v0.1 Ninja has the following changes compared to Mistral-7B-v0.1.", + "url": "https://huggingface.co./Local-Novel-LLM-project/Ninja-v1", + "project_name": "Ninja-v1", "downloads": 13, "source": "Hugging Face", - "score": -0.10813786709692211, - "first_commit": "2024-02-26 17:55:56", - "latest_commit": "2024-03-04 05:22:43", + "score": -0.11424164983817493, + "first_commit": "2024-04-24 10:28:30", + "latest_commit": "2024-05-04 04:07:09", "languages": [], "model_or_dataset": "model", - "model_size": 13.3 + "model_size": 7.24, + "model_architectures": "MistralForCausalLM" }, { - "description": "ELYZA-japanese-Llama-2-MoE-2x13B-v0.1-GGUF 概要 Aratako/ELYZA-japanese-Llama-2-MoE-2x13B-v0.1の量子化済みGGUF版です。", - "url": "https://huggingface.co./Aratako/ELYZA-japanese-Llama-2-MoE-2x13B-v0.1-GGUF", - "project_name": "ELYZA-japanese-Llama-2-MoE-2x13B-v0.1-GGUF", + "description": "Assistance のGGUF版 Our Models for GGUF Vecteus-GGUF Ninja-v1-GGUF Ninja-v1-NSFW-GGUF Ninja-v1-128k-GGUF Ninja-v1-NSFW-128k-GGUF", + "url": "https://huggingface.co./Local-Novel-LLM-project/Assistance-GGUF", + "project_name": "Assistance-GGUF", "downloads": 13, "source": "Hugging Face", - "score": -0.10813786709692211, - "first_commit": "2024-03-03 12:51:40", - "latest_commit": "2024-03-03 13:39:01", + "score": -0.11424164983817493, + "first_commit": "2024-05-03 04:03:47", + "latest_commit": "2024-05-03 04:30:45", "languages": [], "model_or_dataset": "model", - "model_size": 21.5 + "model_size": 7.24, + "model_architectures": null }, { - "description": "TaCOMET_ja", - "url": "https://huggingface.co./nlp-waseda/tacomet-gpt2-xl-japanese", - "project_name": "tacomet-gpt2-xl-japanese", + "description": "Overview This model is based on rinna's [rinna/llama-3-youko-8b], fine-tuned using LoRA on a small number of parallel sentences from English to Japanese.", + "url": "https://huggingface.co./lyu-boxuan/llama-3-youko-8b-En-Ja-MT-LoRA", + "project_name": "llama-3-youko-8b-En-Ja-MT-LoRA", "downloads": 13, "source": "Hugging Face", - "score": -0.10813786709692211, - "first_commit": "2024-03-07 11:50:15", - "latest_commit": "2024-06-05 09:41:05", + "score": -0.11424164983817493, + "first_commit": "2024-05-10 14:33:57", + "latest_commit": "2024-05-21 14:54:46", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 8.03, + "model_architectures": "LlamaForCausalLM" }, { - "description": "ELYZA-japanese-Llama-2-MoE-2x7B-v0.1-GGUF 概要 Aratako/ELYZA-japanese-Llama-2-MoE-2x7B-v0.1の量子化済みGGUF版です。", - "url": "https://huggingface.co./Aratako/ELYZA-japanese-Llama-2-MoE-2x7B-v0.1-GGUF", - "project_name": "ELYZA-japanese-Llama-2-MoE-2x7B-v0.1-GGUF", + "description": "Model Card for Model ID Fine tunned ASR model from distil-whisper/distil-large-v2.", + "url": "https://huggingface.co./spow12/Visual-novel-transcriptor", + "project_name": "Visual-novel-transcriptor", "downloads": 13, "source": "Hugging Face", - "score": -0.10813786709692211, - "first_commit": "2024-03-06 15:44:10", - "latest_commit": "2024-03-07 13:23:01", + "score": -0.11424164983817493, + "first_commit": "2024-04-15 01:43:08", + "latest_commit": "2024-08-12 12:39:52", "languages": [], "model_or_dataset": "model", - "model_size": 11.1 + "model_size": 0.756, + "model_architectures": "WhisperForConditionalGeneration" }, { - "description": "このモデルはcl-tohoku/bert-large-japanese-v2をファインチューニングしてCommonsenseQA(選択式の質問)に用いれるようにしたものです。 ", - "url": "https://huggingface.co./Mizuiro-sakura/bert-large-japanese-v2-finetuned-commonsenseQA", - "project_name": "bert-large-japanese-v2-finetuned-commonsenseQA", + "description": "The English document is here モデル概要 Watashiha-Llama-2-13B-Ogiri-sftをAWSのinf2インスタンスで動作するようにコンパイルされたモデルです。 ", + "url": "https://huggingface.co./watashiha/Watashiha-Llama-2-13B-Ogiri-sft-neuron", + "project_name": "Watashiha-Llama-2-13B-Ogiri-sft-neuron", "downloads": 13, "source": "Hugging Face", - "score": -0.10813786709692211, - "first_commit": "2023-05-26 14:33:37", - "latest_commit": "2023-05-26 15:02:41", + "score": -0.11424164983817493, + "first_commit": "2024-01-24 19:05:34", + "latest_commit": "2024-02-02 06:39:21", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "LlamaForCausalLM" }, { - "description": "Bloom model trained on Japanese corpus.", - "url": "https://huggingface.co./Aruno/Bloom-JP-160m", - "project_name": "Bloom-JP-160m", + "description": "Shisa 7B Shisa 7B (shisa-7b-v1)", + "url": "https://huggingface.co./LoneStriker/shisa-7b-v1-8.0bpw-h8-exl2", + "project_name": "shisa-7b-v1-8.0bpw-h8-exl2", "downloads": 13, "source": "Hugging Face", - "score": -0.10813786709692211, - "first_commit": "2023-04-24 04:47:05", - "latest_commit": "2023-04-24 05:12:10", + "score": -0.11424164983817493, + "first_commit": "2023-12-07 18:22:23", + "latest_commit": "2023-12-07 18:54:33", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "MistralForCausalLM" }, { - "description": "deberta-large-japanese-wikipedia-ud-goeswith Model Description", - "url": "https://huggingface.co./KoichiYasuoka/deberta-large-japanese-wikipedia-ud-goeswith", - "project_name": "deberta-large-japanese-wikipedia-ud-goeswith", + "description": "deberta-base-japanese-wikipedia Model Description", + "url": "https://huggingface.co./KoichiYasuoka/deberta-base-japanese-wikipedia", + "project_name": "deberta-base-japanese-wikipedia", "downloads": 13, "source": "Hugging Face", - "score": -0.10813786709692211, - "first_commit": "2022-09-18 08:41:06", - "latest_commit": "2023-05-12 01:29:13", + "score": -0.11424164983817493, + "first_commit": "2022-06-25 03:46:58", + "latest_commit": "2023-01-27 17:51:51", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "DebertaV2ForMaskedLM" }, { - "description": "ku-nlp/roberta-large-japanese-char-wwm Model description This is a Japanese RoBERTa large model pre-trained on Japanese Wikipedia and the Japanese portion of CC-100.", - "url": "https://huggingface.co./ku-nlp/roberta-large-japanese-char-wwm", - "project_name": "roberta-large-japanese-char-wwm", + "description": "deberta-small-japanese-upos Model Description", + "url": "https://huggingface.co./KoichiYasuoka/deberta-small-japanese-upos", + "project_name": "deberta-small-japanese-upos", "downloads": 13, "source": "Hugging Face", - "score": -0.10813786709692211, - "first_commit": "2022-09-18 08:10:44", - "latest_commit": "2023-03-19 01:58:12", + "score": -0.11424164983817493, + "first_commit": "2022-05-23 23:55:56", + "latest_commit": "2024-07-26 15:38:41", "languages": [], "model_or_dataset": "model", - "model_size": 0.323 + "model_size": null, + "model_architectures": "DebertaV2ForTokenClassification" }, { - "description": "deberta-large-japanese-aozora Model Description", - "url": "https://huggingface.co./KoichiYasuoka/deberta-large-japanese-aozora", - "project_name": "deberta-large-japanese-aozora", + "description": "roberta-small-japanese-aozora Model Description", + "url": "https://huggingface.co./KoichiYasuoka/roberta-small-japanese-aozora", + "project_name": "roberta-small-japanese-aozora", "downloads": 13, "source": "Hugging Face", - "score": -0.10813786709692211, - "first_commit": "2022-05-26 14:46:58", - "latest_commit": "2023-01-14 00:27:22", + "score": -0.11424164983817493, + "first_commit": "2021-11-02 12:54:50", + "latest_commit": "2021-11-03 23:44:50", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "RobertaForMaskedLM" }, { - "description": "bert-japanese-ner このモデルは日本語の固有表現抽出タスクを目的として、京都大学 黒橋・褚・村脇研究室が公開しているBERT日本語Pretrainedモデルをベースにストックマーク株式会社が公開しているner-wikipedia-datasetでファインチューニングしたものです。 ", - "url": "https://huggingface.co./ken11/bert-japanese-ner", - "project_name": "bert-japanese-ner", + "description": "mlx-community/Llama-3.1-70B-Japanese-Instruct-2407-8bit The Model mlx-community/Llama-3.1-70B-Japanese-Instruct-2407-8bit was converted to MLX format from cyberagent/Llama-3.1-70B-Japanese-Instruct-2407 using mlx-lm version 0.16.1.", + "url": "https://huggingface.co./mlx-community/Llama-3.1-70B-Japanese-Instruct-2407-8bit", + "project_name": "Llama-3.1-70B-Japanese-Instruct-2407-8bit", "downloads": 13, "source": "Hugging Face", - "score": -0.10813786709692211, - "first_commit": "2021-11-13 16:28:23", - "latest_commit": "2021-11-14 02:34:01", + "score": -0.11424164983817493, + "first_commit": "2024-07-26 13:05:01", + "latest_commit": "2024-07-26 14:05:31", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 19.8, + "model_architectures": "LlamaForCausalLM" }, { - "description": "Tanuki-Zero Base model: llm-jp/llm-jp-13b-v1.0 Instruction data: Randomly sampled, 15k Jaster dataset (train) Code is here.", - "url": "https://huggingface.co./kanhatakeyama/Tanuki-ZeRo", - "project_name": "Tanuki-ZeRo", + "description": "読み込み方 from datasets import load_dataset dataset = load_dataset(\"YANS-official/ogiri-bokete\", split=\"train\") 概要 大喜利投稿サイトBoketeのクロールデータです。", + "url": "https://huggingface.co./datasets/YANS-official/ogiri-bokete", + "project_name": "ogiri-bokete", "downloads": 13, "source": "Hugging Face", - "score": -0.10813786709692211, - "first_commit": "2024-03-29 23:31:35", - "latest_commit": "2024-03-30 00:51:03", + "score": -0.11424164983817493, + "first_commit": "2024-07-21 09:58:15", + "latest_commit": "2024-08-31 09:24:55", "languages": [], - "model_or_dataset": "model", - "model_size": 12.9 + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null }, { - "description": "mlx-community/Llama-3.1-70B-Japanese-Instruct-2407-8bit The Model mlx-community/Llama-3.1-70B-Japanese-Instruct-2407-8bit was converted to MLX format from cyberagent/Llama-3.1-70B-Japanese-Instruct-2407 using mlx-lm version 0.16.1.", - "url": "https://huggingface.co./mlx-community/Llama-3.1-70B-Japanese-Instruct-2407-8bit", - "project_name": "Llama-3.1-70B-Japanese-Instruct-2407-8bit", + "description": "bert-large-japanese-unidic-luw-upos Model Description", + "url": "https://huggingface.co./KoichiYasuoka/bert-large-japanese-unidic-luw-upos", + "project_name": "bert-large-japanese-unidic-luw-upos", "downloads": 12, "source": "Hugging Face", - "score": -0.1081529168588235, - "first_commit": "2024-07-26 13:05:01", - "latest_commit": "2024-07-26 14:05:31", + "score": -0.11425736119486915, + "first_commit": "2022-02-13 01:00:41", + "latest_commit": "2023-11-05 18:44:20", "languages": [], "model_or_dataset": "model", - "model_size": 19.8 + "model_size": null, + "model_architectures": "BertForTokenClassification" }, { - "description": "This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - JA dataset.", - "url": "https://huggingface.co./AndrewMcDowell/wav2vec2-xls-r-300m-japanese", - "project_name": "wav2vec2-xls-r-300m-japanese", + "description": "Unihan LM: Coarse-to-Fine Chinese-Japanese Language Model Pretraining with the Unihan Database Model description Chinese and Japanese share many characters with similar surface morphology.", + "url": "https://huggingface.co./microsoft/unihanlm-base", + "project_name": "unihanlm-base", "downloads": 12, "source": "Hugging Face", - "score": -0.1081529168588235, - "first_commit": "2022-01-26 15:43:02", - "latest_commit": "2022-03-23 18:34:20", + "score": -0.11425736119486915, + "first_commit": "2020-09-27 11:23:02", + "latest_commit": "2021-09-22 11:00:56", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "XLMModel" }, { - "description": "ELECTRA small Japanese finance discriminator This is a ELECTRA model pretrained on texts in the Japanese language.", - "url": "https://huggingface.co./izumi-lab/electra-small-japanese-fin-discriminator", - "project_name": "electra-small-japanese-fin-discriminator", + "description": "Model Card for Model ID このモデルはrinna/japanese-gpt-1bをベースモデルとして、 コンテキストからの抽出型QAと、解答を新たなコンテキストでリファインするための学習を行ったモデルです。 ", + "url": "https://huggingface.co./oshizo/qa-refine-japanese-gpt-1b", + "project_name": "qa-refine-japanese-gpt-1b", "downloads": 12, "source": "Hugging Face", - "score": -0.1081529168588235, - "first_commit": "2021-10-04 14:06:48", - "latest_commit": "2022-12-09 00:42:10", + "score": -0.11425736119486915, + "first_commit": "2023-01-18 15:43:39", + "latest_commit": "2023-01-19 10:14:36", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "GPT2LMHeadModel" }, { - "description": "Details: https://spacy.io/models/ja#ja_core_news_trf Japanese transformer pipeline (Transformer(name='cl-tohoku/bert-base-japanese-char-v2', piece_encoder='char', stride=160, type='bert', width=768, window=216, vocab_size=6144)).", - "url": "https://huggingface.co./spacy/ja_core_news_trf", - "project_name": "ja_core_news_trf", + "description": "Model card for model ID", + "url": "https://huggingface.co./retrieva-jp/t5-large-medium", + "project_name": "t5-large-medium", "downloads": 12, "source": "Hugging Face", - "score": -0.1081529168588235, - "first_commit": "2021-11-09 16:58:01", - "latest_commit": "2023-10-10 06:27:03", + "score": -0.11425736119486915, + "first_commit": "2023-04-26 08:31:45", + "latest_commit": "2023-05-10 10:00:45", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "T5ForConditionalGeneration" }, { - "description": "deberta-large-japanese-unidic Model Description", - "url": "https://huggingface.co./KoichiYasuoka/deberta-large-japanese-unidic", - "project_name": "deberta-large-japanese-unidic", + "description": "Aerner LM-v1 事前学習から全部日本語で学習させたモデルです。 ", + "url": "https://huggingface.co./aerner/lm-v1", + "project_name": "lm-v1", "downloads": 12, "source": "Hugging Face", - "score": -0.1081529168588235, - "first_commit": "2022-06-10 12:49:12", - "latest_commit": "2022-06-19 09:15:35", + "score": -0.11425736119486915, + "first_commit": "2023-05-25 12:35:32", + "latest_commit": "2023-05-25 13:35:34", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "LlamaForCausalLM" }, { - "description": "ESを書くAI Japanese GPT-2 modelをファインチューニングしました ファインチューニングには、内定者の二万件以上のESを用いました。 ", - "url": "https://huggingface.co./huranokuma/es", - "project_name": "es", + "description": "モデルの概略 東方Projectのキャラクターである霧雨魔理沙とおしゃべりできるモデルです。 ", + "url": "https://huggingface.co./tsukemono/japanese-novel-gpt-j-6b-f16-marisa", + "project_name": "japanese-novel-gpt-j-6b-f16-marisa", "downloads": 12, "source": "Hugging Face", - "score": -0.1081529168588235, - "first_commit": "2022-08-01 14:59:47", - "latest_commit": "2022-08-14 05:47:18", + "score": -0.11425736119486915, + "first_commit": "2023-09-02 15:15:51", + "latest_commit": "2023-09-06 18:42:50", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "GPTJForCausalLM" }, { - "description": "ELYZA-japanese-CodeLlama-7b-instruct-GPTQ-calib-ja-1k elyzaさんが公開しているELYZA-japanese-CodeLlama-7b-instructを 日本語のキャリブレーションセットで生成したGPTQモデルになります。 ", - "url": "https://huggingface.co./mmnga/ELYZA-japanese-CodeLlama-7b-instruct-GPTQ-calib-ja-1k", - "project_name": "ELYZA-japanese-CodeLlama-7b-instruct-GPTQ-calib-ja-1k", + "description": "Japanese Stable LM Instruct Gamma 7B Model Description", + "url": "https://huggingface.co./LoneStriker/stabilityai_japanese-stablelm-instruct-gamma-7b-8.0bpw-h6-exl2", + "project_name": "stabilityai_japanese-stablelm-instruct-gamma-7b-8.0bpw-h6-exl2", "downloads": 12, "source": "Hugging Face", - "score": -0.1081529168588235, - "first_commit": "2023-11-15 16:33:25", - "latest_commit": "2023-11-16 14:28:39", + "score": -0.11425736119486915, + "first_commit": "2023-10-28 20:43:59", + "latest_commit": "2023-10-28 15:44:20", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "MistralForCausalLM" }, { - "description": "This model was created by merging intfloat/e5-mistral-7b-instruct and stabilityai/japanese-stablelm-base-gamma-7b.", - "url": "https://huggingface.co./oshizo/japanese-e5-mistral-7b_slerp", - "project_name": "japanese-e5-mistral-7b_slerp", + "description": "Japanese Stable LM Instruct Gamma 7B Model Description", + "url": "https://huggingface.co./LoneStriker/stabilityai_japanese-stablelm-instruct-gamma-7b-5.0bpw-h6-exl2", + "project_name": "stabilityai_japanese-stablelm-instruct-gamma-7b-5.0bpw-h6-exl2", "downloads": 12, "source": "Hugging Face", - "score": -0.1081529168588235, - "first_commit": "2024-01-04 12:33:19", - "latest_commit": "2024-01-05 15:48:24", + "score": -0.11425736119486915, + "first_commit": "2023-10-28 20:29:59", + "latest_commit": "2023-10-28 15:30:13", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": null, + "model_architectures": "MistralForCausalLM" }, { - "description": "This model is the fine-tuned version of Helsinki-NLP/opus-mt-ja-en on bsd_ja_en dataset.", - "url": "https://huggingface.co./minkhantycc/translation-en-ja", - "project_name": "translation-en-ja", + "description": "SambaLingo-Japanese-Chat SambaLingo-Japanese-Chat is a human aligned chat model trained in Japanese and English.", + "url": "https://huggingface.co./LoneStriker/SambaLingo-Japanese-Chat-6.0bpw-h6-exl2", + "project_name": "SambaLingo-Japanese-Chat-6.0bpw-h6-exl2", "downloads": 12, "source": "Hugging Face", - "score": -0.1081529168588235, - "first_commit": "2024-02-08 08:08:41", - "latest_commit": "2024-03-20 05:41:04", + "score": -0.11425736119486915, + "first_commit": "2024-03-07 06:55:28", + "latest_commit": "2024-03-07 06:57:49", "languages": [], "model_or_dataset": "model", - "model_size": 0.07529999999999999 + "model_size": null, + "model_architectures": "LlamaForCausalLM" }, { - "description": "SambaLingo-Japanese-Base SambaLingo-Japanese-Base is a pretrained Bi-lingual Japanese and English model that adapts Llama-2-7b to Japanese by training on 42 billion tokens from the Japanese split of the Cultura-X dataset.", - "url": "https://huggingface.co./sambanovasystems/SambaLingo-Japanese-Base", - "project_name": "SambaLingo-Japanese-Base", + "description": "Introduction Who am I: Qishen Ha", + "url": "https://huggingface.co./haqishen/h2o-Llama-3-8B-Japanese-Instruct", + "project_name": "h2o-Llama-3-8B-Japanese-Instruct", "downloads": 12, "source": "Hugging Face", - "score": -0.1081529168588235, - "first_commit": "2024-02-15 22:49:08", - "latest_commit": "2024-04-16 22:33:28", + "score": -0.11425736119486915, + "first_commit": "2024-04-24 07:48:45", + "latest_commit": "2024-06-24 08:57:49", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 8.03, + "model_architectures": "LlamaForCausalLM" }, { - "description": "DavidAU/alpaca-guanaco-japanese-gpt-1b-Q8_0-GGUF", - "url": "https://huggingface.co./DavidAU/alpaca-guanaco-japanese-gpt-1b-Q8_0-GGUF", - "project_name": "alpaca-guanaco-japanese-gpt-1b-Q8_0-GGUF", + "description": "This repository contains a model trained (QLoRA-SFT)", + "url": "https://huggingface.co./taoki/phi3-mini-4k-qlora-jmultiwoz-dolly-amenokaku-alpaca_jp_python-GGUF", + "project_name": "phi3-mini-4k-qlora-jmultiwoz-dolly-amenokaku-alpaca_jp_python-GGUF", "downloads": 12, "source": "Hugging Face", - "score": -0.1081529168588235, - "first_commit": "2024-04-20 08:49:14", - "latest_commit": "2024-04-20 08:49:19", + "score": -0.11425736119486915, + "first_commit": "2024-05-29 15:11:10", + "latest_commit": "2024-05-31 11:28:45", "languages": [], "model_or_dataset": "model", - "model_size": 1.39 + "model_size": 3.82, + "model_architectures": null }, { - "description": "Model Card for Model ID 料理を検索するための質問文から、検索検索用キーワードである固有表現を抽出します Model Details Model Description 例えば、「東京の肉料理で、春に食べられる、鶏肉を使った料理を教えてください」という文章を入力すると、 「東京 → 都道府県/地方(AREA)」 「肉料理 → 種類(TYPE)」 「春 → 季節(SZN)", - "url": "https://huggingface.co./wolf4032/bert-japanese-token-classification-search-local-cuisine", - "project_name": "bert-japanese-token-classification-search-local-cuisine", + "description": "youhansun/Llama-3-70B-japanese-suzume-vector-v0.1-Q2_K-GGUF", + "url": "https://huggingface.co./youhansun/Llama-3-70B-japanese-suzume-vector-v0.1-Q2_K-GGUF", + "project_name": "Llama-3-70B-japanese-suzume-vector-v0.1-Q2_K-GGUF", "downloads": 12, "source": "Hugging Face", - "score": -0.1081529168588235, - "first_commit": "2024-04-28 06:45:18", - "latest_commit": "2024-05-12 07:20:39", + "score": -0.11425736119486915, + "first_commit": "2024-06-02 04:49:31", + "latest_commit": "2024-06-02 04:52:45", "languages": [], "model_or_dataset": "model", - "model_size": 0.111 + "model_size": 70.6, + "model_architectures": null }, { - "description": "Assistance のGGUF版 Our Models for GGUF Vecteus-GGUF Ninja-v1-GGUF Ninja-v1-NSFW-GGUF Ninja-v1-128k-GGUF Ninja-v1-NSFW-128k-GGUF", - "url": "https://huggingface.co./Local-Novel-LLM-project/Assistance-GGUF", - "project_name": "Assistance-GGUF", + "description": "gpt2-medium-japanese-ud-causal Model Description", + "url": "https://huggingface.co./KoichiYasuoka/gpt2-medium-japanese-ud-causal", + "project_name": "gpt2-medium-japanese-ud-causal", "downloads": 12, "source": "Hugging Face", - "score": -0.1081529168588235, - "first_commit": "2024-05-03 04:03:47", - "latest_commit": "2024-05-03 04:30:45", + "score": -0.11425736119486915, + "first_commit": "2024-08-22 23:01:26", + "latest_commit": "2024-08-25 17:55:41", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": null, + "model_architectures": "GPT2ForTokenClassification" }, { - "description": "VecteusをベースにLLavaに対応させたモデルです。 ", - "url": "https://huggingface.co./Local-Novel-LLM-project/Ocuteus-v1", - "project_name": "Ocuteus-v1", + "description": "ChatGLM3-6B是一个中英双语大模型，本项目为ChatGLM3-6B加入日文能力。", + "url": "https://huggingface.co./dummy-foo/ChatGLM3-Japanese", + "project_name": "ChatGLM3-Japanese", "downloads": 12, "source": "Hugging Face", - "score": -0.1081529168588235, - "first_commit": "2024-05-07 10:03:15", - "latest_commit": "2024-05-10 05:39:04", + "score": -0.11425736119486915, + "first_commit": "2024-05-31 22:51:11", + "latest_commit": "2024-06-09 15:37:04", "languages": [], "model_or_dataset": "model", - "model_size": 7.57 + "model_size": 6.35, + "model_architectures": "ChatGLMForConditionalGeneration" }, { "description": "Ninja-v1-RP-WIP 概要 Local-Novel-LLM-project/Ninja-v1-NSFWをロールプレイ用にLoRAでファインチューニングしたモデルです。 ", @@ -12627,90 +13073,111 @@ "project_name": "Ninja-v1-RP-WIP", "downloads": 12, "source": "Hugging Face", - "score": -0.1081529168588235, + "score": -0.11425736119486915, "first_commit": "2024-05-19 15:31:02", "latest_commit": "2024-05-20 16:56:00", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": 7.24, + "model_architectures": "MistralForCausalLM" }, { - "description": "spekulatius マージしているとたまに出てくる「目的の意図とは違うのだけどなんだか消すにはもったいないモデル」をおすそ分けするシリーズです。 ", - "url": "https://huggingface.co./Lasorco/spekulatius", - "project_name": "spekulatius", + "description": "モデル概要 Watashiha-Llama-2-13B-Ogiri-sftをLLaVAで学習し、画像に対応した大喜利言語モデルです。", + "url": "https://huggingface.co./watashiha/Watashiha-Llama-2-13B-Ogiri-sft-vlm", + "project_name": "Watashiha-Llama-2-13B-Ogiri-sft-vlm", "downloads": 12, "source": "Hugging Face", - "score": -0.1081529168588235, - "first_commit": "2023-10-24 13:56:21", - "latest_commit": "2023-10-26 04:21:35", + "score": -0.11425736119486915, + "first_commit": "2024-02-26 17:55:56", + "latest_commit": "2024-03-04 05:22:43", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 13.3, + "model_architectures": "LlavaLlamaForCausalLM" }, { - "description": "bart-large-japanese This model is converted from the original Japanese BART Pretrained model released by Kyoto University.", - "url": "https://huggingface.co./Formzu/bart-large-japanese", - "project_name": "bart-large-japanese", + "description": "Orion-14B 🌐English | 🇨", + "url": "https://huggingface.co./zaq-hack/Orion-14B-LongChat-bpw600-h6-exl2", + "project_name": "Orion-14B-LongChat-bpw600-h6-exl2", "downloads": 12, "source": "Hugging Face", - "score": -0.1081529168588235, - "first_commit": "2022-10-31 06:53:19", - "latest_commit": "2022-11-07 12:06:32", + "score": -0.11425736119486915, + "first_commit": "2024-01-25 16:58:27", + "latest_commit": "2024-01-25 21:01:29", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "OrionForCausalLM" }, { - "description": "deberta-base-japanese-wikipedia-ud-goeswith Model Description", - "url": "https://huggingface.co./KoichiYasuoka/deberta-base-japanese-wikipedia-ud-goeswith", - "project_name": "deberta-base-japanese-wikipedia-ud-goeswith", + "description": "This model was created by merging intfloat/e5-mistral-7b-instruct and stabilityai/japanese-stablelm-base-gamma-7b.", + "url": "https://huggingface.co./oshizo/japanese-e5-mistral-7b_slerp", + "project_name": "japanese-e5-mistral-7b_slerp", + "downloads": 12, + "source": "Hugging Face", + "score": -0.11425736119486915, + "first_commit": "2024-01-04 12:33:19", + "latest_commit": "2024-01-05 15:48:24", + "languages": [], + "model_or_dataset": "model", + "model_size": 7.24, + "model_architectures": "MistralModel" + }, + { + "description": "Shisa 7B Shisa 7B (shisa-7b-v1)", + "url": "https://huggingface.co./LoneStriker/shisa-7b-v1-4.0bpw-h6-exl2", + "project_name": "shisa-7b-v1-4.0bpw-h6-exl2", "downloads": 12, "source": "Hugging Face", - "score": -0.1081529168588235, - "first_commit": "2022-09-18 06:02:55", - "latest_commit": "2024-08-20 19:38:50", + "score": -0.11425736119486915, + "first_commit": "2023-12-07 17:59:51", + "latest_commit": "2023-12-07 18:54:26", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "MistralForCausalLM" }, { - "description": "deberta-small-japanese-aozora Model Description", - "url": "https://huggingface.co./KoichiYasuoka/deberta-small-japanese-aozora", - "project_name": "deberta-small-japanese-aozora", + "description": "Chat & support: TheBloke's Discord server Want to contribute?", + "url": "https://huggingface.co./TheBloke/japanese-stablelm-base-beta-70B-GPTQ", + "project_name": "japanese-stablelm-base-beta-70B-GPTQ", "downloads": 12, "source": "Hugging Face", - "score": -0.1081529168588235, - "first_commit": "2022-05-23 04:58:53", - "latest_commit": "2023-01-15 15:25:14", + "score": -0.11425736119486915, + "first_commit": "2023-11-06 11:33:47", + "latest_commit": "2023-11-06 16:00:08", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 9.1, + "model_architectures": "LlamaForCausalLM" }, { - "description": "Details: https://spacy.io/models/ja#ja_core_news_md Japanese pipeline optimized for CPU.", - "url": "https://huggingface.co./spacy/ja_core_news_md", - "project_name": "ja_core_news_md", + "description": "(English part follows Japanese one.", + "url": "https://huggingface.co./tohoku-nlp/stable-diffusion-xl-jp-base-1.0", + "project_name": "stable-diffusion-xl-jp-base-1.0", "downloads": 12, "source": "Hugging Face", - "score": -0.1081529168588235, - "first_commit": "2021-07-07 12:10:08", - "latest_commit": "2023-10-10 06:45:12", + "score": -0.11425736119486915, + "first_commit": "2023-11-06 05:02:27", + "latest_commit": "2023-11-06 05:37:01", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": null }, { - "description": "Model Trained Using AutoNLP Problem type: Binary Classification Model ID: 59363 Validation Metrics Loss: 0.12651239335536957 Accuracy: 0.9532079853817648 Precision: 0.9729688278823665 Recall: 0.9744633462616643 AUC: 0.9717333684823413 F1: 0.9737155136027014 Usage You can use cURL to access this model: $ curl -X POST -H \"Authorization: Bearer YOUR_API_KEY\" -H \"Content-Type: application/json\" -d '{\"inputs\": \"I love AutoNLP\"}' https://api-inference.huggingface.co/models/abhishek/autonlp-japanese-sentiment-5936", - "url": "https://huggingface.co./abhishek/autonlp-japanese-sentiment-59363", - "project_name": "autonlp-japanese-sentiment-59363", + "description": "deberta-base-japanese-wikipedia-ud-goeswith Model Description", + "url": "https://huggingface.co./KoichiYasuoka/deberta-base-japanese-wikipedia-ud-goeswith", + "project_name": "deberta-base-japanese-wikipedia-ud-goeswith", "downloads": 12, "source": "Hugging Face", - "score": -0.1081529168588235, - "first_commit": "2021-04-21 11:28:24", - "latest_commit": "2021-05-18 22:56:15", + "score": -0.11425736119486915, + "first_commit": "2022-09-18 06:02:55", + "latest_commit": "2024-08-20 19:38:50", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "DebertaV2ForTokenClassification" }, { "description": "roberta-large-japanese-char-luw-upos Model Description", @@ -12718,272 +13185,279 @@ "project_name": "roberta-large-japanese-char-luw-upos", "downloads": 12, "source": "Hugging Face", - "score": -0.1081529168588235, + "score": -0.11425736119486915, "first_commit": "2021-12-30 15:56:46", "latest_commit": "2022-09-18 19:44:49", "languages": [], "model_or_dataset": "model", - "model_size": null - }, - { - "description": "roberta-base-japanese-luw-upos Model Description", - "url": "https://huggingface.co./KoichiYasuoka/roberta-base-japanese-luw-upos", - "project_name": "roberta-base-japanese-luw-upos", - "downloads": 11, - "source": "Hugging Face", - "score": -0.10816796662072489, - "first_commit": "2021-12-21 00:41:00", - "latest_commit": "2022-09-18 19:44:22", - "languages": [], - "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "RobertaForTokenClassification" }, { - "description": "bert-large-japanese-luw-upos Model Description", - "url": "https://huggingface.co./KoichiYasuoka/bert-large-japanese-luw-upos", - "project_name": "bert-large-japanese-luw-upos", - "downloads": 11, + "description": "Synthetic-Japanese-Roleplay-gpt-4o-mini-19.8k-formatted 概要 gpt-4o-miniを用いて作成した日本語ロールプレイデータセットであるAratako/Synthetic-Japanese-Roleplay-gpt-4o-mini-19.8kにsystem messageを追加して整形したデータセットです。 ", + "url": "https://huggingface.co./datasets/Aratako/Synthetic-Japanese-Roleplay-gpt-4o-mini-19.8k-formatted", + "project_name": "Synthetic-Japanese-Roleplay-gpt-4o-mini-19.8k-formatted", + "downloads": 12, "source": "Hugging Face", - "score": -0.10816796662072489, - "first_commit": "2021-10-26 13:54:17", - "latest_commit": "2022-09-18 19:43:45", + "score": -0.11425736119486915, + "first_commit": "2024-08-16 16:46:06", + "latest_commit": "2024-08-16 16:54:03", "languages": [], - "model_or_dataset": "model", - "model_size": null + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null }, { - "description": "bert-base-japanese-char-extended Model Description", - "url": "https://huggingface.co./KoichiYasuoka/bert-base-japanese-char-extended", - "project_name": "bert-base-japanese-char-extended", - "downloads": 11, + "description": "Dataset Summary JMultiWOZ is a large-scale Japanese multi-domain task-oriented dialogue dataset.", + "url": "https://huggingface.co./datasets/nu-dialogue/jmultiwoz", + "project_name": "jmultiwoz", + "downloads": 12, "source": "Hugging Face", - "score": -0.10816796662072489, - "first_commit": "2021-08-26 22:44:12", - "latest_commit": "2022-06-21 07:21:54", + "score": -0.11425736119486915, + "first_commit": "2024-02-29 15:38:29", + "latest_commit": "2024-03-13 02:15:37", "languages": [], - "model_or_dataset": "model", - "model_size": null + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null }, { - "description": "deberta-base-japanese-unidic Model Description", - "url": "https://huggingface.co./KoichiYasuoka/deberta-base-japanese-unidic", - "project_name": "deberta-base-japanese-unidic", + "description": "bert-base-japanese-unidic-luw-upos Model Description", + "url": "https://huggingface.co./KoichiYasuoka/bert-base-japanese-unidic-luw-upos", + "project_name": "bert-base-japanese-unidic-luw-upos", "downloads": 11, "source": "Hugging Face", - "score": -0.10816796662072489, - "first_commit": "2022-06-08 08:05:33", - "latest_commit": "2022-06-18 23:02:31", + "score": -0.11427307255156337, + "first_commit": "2022-02-13 01:00:01", + "latest_commit": "2023-11-05 18:44:10", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "BertForTokenClassification" }, { - "description": "fasttext-jp-embedding This model is experimental.", - "url": "https://huggingface.co./paulhindemith/fasttext-jp-embedding", - "project_name": "fasttext-jp-embedding", + "description": "Model Trained Using AutoNLP Problem type: Binary Classification Model ID: 59363 Validation Metrics Loss: 0.12651239335536957 Accuracy: 0.9532079853817648 Precision: 0.9729688278823665 Recall: 0.9744633462616643 AUC: 0.9717333684823413 F1: 0.9737155136027014 Usage You can use cURL to access this model: $ curl -X POST -H \"Authorization: Bearer YOUR_API_KEY\" -H \"Content-Type: application/json\" -d '{\"inputs\": \"I love AutoNLP\"}' https://api-inference.huggingface.co/models/abhishek/autonlp-japanese-sentiment-5936", + "url": "https://huggingface.co./abhishek/autonlp-japanese-sentiment-59363", + "project_name": "autonlp-japanese-sentiment-59363", "downloads": 11, "source": "Hugging Face", - "score": -0.10816796662072489, - "first_commit": "2022-11-05 11:14:51", - "latest_commit": "2022-11-16 22:21:49", + "score": -0.11427307255156337, + "first_commit": "2021-04-21 11:28:24", + "latest_commit": "2021-05-18 22:56:15", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "BertForSequenceClassification" }, { - "description": "モデル説明 (model explanation) YaguruMagiku 0.6 : AbyssOrangeMix2_sfw 0.4 マージ元のルーツにNAIリークが含まれるという噂があるので、NAIリークアンチには非推奨 理想の黒髪ポニテ顔が出せるYaguruMagikuを、ある程度顔が近くて制御しやすいAbyssOrangeMix2と混ぜてみた。 ", - "url": "https://huggingface.co./ThePioneer/MoeDiffusion", - "project_name": "MoeDiffusion", + "description": "yacis-electra-small", + "url": "https://huggingface.co./ptaszynski/yacis-electra-small-japanese", + "project_name": "yacis-electra-small-japanese", "downloads": 11, "source": "Hugging Face", - "score": -0.10816796662072489, - "first_commit": "2023-01-18 11:14:31", - "latest_commit": "2023-01-21 02:10:41", + "score": -0.11427307255156337, + "first_commit": "2022-01-12 01:48:13", + "latest_commit": "2022-01-13 01:43:17", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": null }, { - "description": "ebisuke/liz-nojaloli-ja License MIT Licenseベースとしてrinna/japanese-gpt-neox-3.6bを使用しています。 ", - "url": "https://huggingface.co./ebisuke/liz-nojaloli-ja", - "project_name": "liz-nojaloli-ja", + "description": "nlp-waseda/roberta-large-japanese-seq512-with-auto-jumanpp Model description", + "url": "https://huggingface.co./nlp-waseda/roberta-large-japanese-seq512-with-auto-jumanpp", + "project_name": "roberta-large-japanese-seq512-with-auto-jumanpp", "downloads": 11, "source": "Hugging Face", - "score": -0.10816796662072489, - "first_commit": "2023-05-23 16:59:22", - "latest_commit": "2023-05-30 16:01:20", + "score": -0.11427307255156337, + "first_commit": "2022-10-15 06:04:06", + "latest_commit": "2022-10-21 15:56:38", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "RobertaForMaskedLM" }, { - "description": "Model Card Summary This model was trained using H2O LLM Studio.", - "url": "https://huggingface.co./yukismd/JapaneseQuizChatbot_v1", - "project_name": "JapaneseQuizChatbot_v1", + "description": "deberta-large-japanese-juman-ud-goeswith Model Description", + "url": "https://huggingface.co./KoichiYasuoka/deberta-large-japanese-juman-ud-goeswith", + "project_name": "deberta-large-japanese-juman-ud-goeswith", "downloads": 11, "source": "Hugging Face", - "score": -0.10816796662072489, - "first_commit": "2023-06-08 00:25:01", - "latest_commit": "2023-06-08 00:48:50", + "score": -0.11427307255156337, + "first_commit": "2023-02-05 13:24:47", + "latest_commit": "2024-08-30 14:27:11", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "DebertaV2ForTokenClassification" }, { - "description": "Japanese Stable LM Instruct Gamma 7B +", - "url": "https://huggingface.co./ohwi/japanese-stablelm-instruct-gamma-7b-dpo-uf-v1", - "project_name": "japanese-stablelm-instruct-gamma-7b-dpo-uf-v1", + "description": "roberta-large-japanese-juman-ud-goeswith Model Description", + "url": "https://huggingface.co./KoichiYasuoka/roberta-large-japanese-juman-ud-goeswith", + "project_name": "roberta-large-japanese-juman-ud-goeswith", "downloads": 11, "source": "Hugging Face", - "score": -0.10816796662072489, - "first_commit": "2024-03-09 16:47:29", - "latest_commit": "2024-03-21 14:33:07", + "score": -0.11427307255156337, + "first_commit": "2023-02-21 06:38:32", + "latest_commit": "2024-08-30 14:49:26", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": null, + "model_architectures": "RobertaForTokenClassification" }, { - "description": "概要 「LOCAL AI HACKATHON」における、チームDataPilot,4つめの成果品です。", - "url": "https://huggingface.co./DataPilot/ArrowSmartPlus_3.6B_instruction", - "project_name": "ArrowSmartPlus_3.6B_instruction", + "description": "Chat & support: TheBloke's Discord server Want to contribute?", + "url": "https://huggingface.co./TheBloke/japanese-stablelm-instruct-beta-7B-GPTQ", + "project_name": "japanese-stablelm-instruct-beta-7B-GPTQ", "downloads": 11, "source": "Hugging Face", - "score": -0.10816796662072489, - "first_commit": null, - "latest_commit": null, + "score": -0.11427307255156337, + "first_commit": "2023-11-03 10:31:29", + "latest_commit": "2023-11-03 12:54:41", "languages": [], "model_or_dataset": "model", - "model_size": 3.56 + "model_size": 1.13, + "model_architectures": "LlamaForCausalLM" }, { - "description": "TigerBot-7B Japanese", - "url": "https://huggingface.co./atsuki-yamaguchi/tigerbot-7b-base-random-ja", - "project_name": "tigerbot-7b-base-random-ja", + "description": "japanese-novel-gpt-j-6b https://huggingface.co./AIBunCho/japanese-novel-gpt-j-6b\" に合計216個の評価の高いなろう小説、青空文庫、ウィキペディアなどの文章をQLoRA学習させた小説生成用モデルです。 ", + "url": "https://huggingface.co./akineAItech/Jeneri-SAMA-6B", + "project_name": "Jeneri-SAMA-6B", "downloads": 11, "source": "Hugging Face", - "score": -0.10816796662072489, - "first_commit": "2024-04-21 16:43:53", - "latest_commit": "2024-04-22 09:05:05", + "score": -0.11427307255156337, + "first_commit": "2024-02-25 10:30:06", + "latest_commit": "2024-03-16 15:00:14", "languages": [], "model_or_dataset": "model", - "model_size": 6.74 + "model_size": 6.05, + "model_architectures": "GPTJForCausalLM" }, { - "description": "Our Models Vecteus Ninja-v1 Ninja-v1-NSFW Ninja-v1-128k Ninja-v1-NSFW-128k Model Card for Ninja-v1-128k The Mistral-7B--based Large Language Model (LLM) is an noveldataset fine-tuned version of the Mistral-7B-v0.1 Ninja-128k has the following changes compared to Mistral-7B-v0.1.", - "url": "https://huggingface.co./Local-Novel-LLM-project/Ninja-v1-128k", - "project_name": "Ninja-v1-128k", + "description": "llm-jp-1.3b-v1.0-aya llm-jp's llm-jp-1.3b-v1.0 model fine-tuned on the Japanese examples from Cohere's aya dataset Model llm-jp-eval AVG kcoopermiller/llm-jp-1.3b-v1.0-aya 0.0698 llm-jp/llm-jp-1.3b-v1.0 0.047 How to use import torch from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained(\"kcoopermiller/llm-jp-1.3b-v1.0-aya\")", + "url": "https://huggingface.co./kcoopermiller/llm-jp-1.3b-v1.0-aya", + "project_name": "llm-jp-1.3b-v1.0-aya", "downloads": 11, "source": "Hugging Face", - "score": -0.10816796662072489, - "first_commit": "2024-05-01 02:56:38", - "latest_commit": "2024-05-04 04:07:00", + "score": -0.11427307255156337, + "first_commit": "2024-02-23 05:39:39", + "latest_commit": "2024-02-29 23:48:58", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": 1.32, + "model_architectures": "GPT2LMHeadModel" }, { - "description": "Style-Bert-VITS2 Japanese Only Sakura Miko こちらは「さくらみこ」の音声データセットに基づいて学習されたVITS-TTSモデルです。 ", - "url": "https://huggingface.co./Lycoris53/style-bert-vits2-sakura-miko", - "project_name": "style-bert-vits2-sakura-miko", + "description": "SambaLingo-Japanese-Chat SambaLingo-Japanese-Chat is a human aligned chat model trained in Japanese and English.", + "url": "https://huggingface.co./LoneStriker/SambaLingo-Japanese-Chat-8.0bpw-h8-exl2", + "project_name": "SambaLingo-Japanese-Chat-8.0bpw-h8-exl2", "downloads": 11, "source": "Hugging Face", - "score": -0.10816796662072489, - "first_commit": "2024-05-27 14:58:38", - "latest_commit": "2024-05-28 03:02:14", + "score": -0.11427307255156337, + "first_commit": "2024-03-07 06:57:50", + "latest_commit": "2024-03-07 07:00:51", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "LlamaForCausalLM" }, { - "description": "TinySlime-1.1B-Chat-v1.0 TinySlime は日本語に特化した小規模言語モデルです。 ", - "url": "https://huggingface.co./2121-8/TinySlime-1.1B-Chat-v1.0", - "project_name": "TinySlime-1.1B-Chat-v1.0", + "description": "ELYZA-japanese-Llama-2-MoE-2x7B-v0.1-GGUF 概要 Aratako/ELYZA-japanese-Llama-2-MoE-2x7B-v0.1の量子化済みGGUF版です。", + "url": "https://huggingface.co./Aratako/ELYZA-japanese-Llama-2-MoE-2x7B-v0.1-GGUF", + "project_name": "ELYZA-japanese-Llama-2-MoE-2x7B-v0.1-GGUF", "downloads": 11, "source": "Hugging Face", - "score": -0.10816796662072489, - "first_commit": "2024-07-02 03:34:30", - "latest_commit": "2024-07-02 08:53:11", + "score": -0.11427307255156337, + "first_commit": "2024-03-06 15:44:10", + "latest_commit": "2024-03-07 13:23:01", "languages": [], "model_or_dataset": "model", - "model_size": 1.1 + "model_size": 11.1, + "model_architectures": null }, { - "description": "gpt2-medium-japanese-upos Model Description", - "url": "https://huggingface.co./KoichiYasuoka/gpt2-medium-japanese-upos", - "project_name": "gpt2-medium-japanese-upos", + "description": "ELYZA-japanese-Llama-2-MoE-2x7B-v0.1 English description here 概要 Llama-2ベースの学習済み日本語モデルであるelyza/ELYZA-japanese-Llama-2-7bと、そのinstruction tuningモデルであるelyza/ELYZA-japanese-Llama-2-7b-instruct を、mergekitを使ってMoEを行い作成したモデルです。 ", + "url": "https://huggingface.co./Aratako/ELYZA-japanese-Llama-2-MoE-2x7B-v0.1", + "project_name": "ELYZA-japanese-Llama-2-MoE-2x7B-v0.1", "downloads": 11, "source": "Hugging Face", - "score": -0.10816796662072489, - "first_commit": "2024-06-22 22:39:14", - "latest_commit": "2024-07-27 07:49:41", + "score": -0.11427307255156337, + "first_commit": "2024-03-06 11:07:05", + "latest_commit": "2024-03-19 02:31:33", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 11.1, + "model_architectures": "MixtralForCausalLM" }, { - "description": "モデルの説明(English explanation is below.", - "url": "https://huggingface.co./keitokei1994/Llama-3-8B-shisa-2x8B", - "project_name": "Llama-3-8B-shisa-2x8B", + "description": "Shisa 7B Shisa 7B (shisa-7b-v1)", + "url": "https://huggingface.co./LoneStriker/shisa-7b-v1-6.0bpw-h6-exl2", + "project_name": "shisa-7b-v1-6.0bpw-h6-exl2", "downloads": 11, "source": "Hugging Face", - "score": -0.10816796662072489, - "first_commit": "2024-05-24 18:58:48", - "latest_commit": "2024-06-11 07:41:22", + "score": -0.11427307255156337, + "first_commit": "2023-12-07 18:14:46", + "latest_commit": "2023-12-07 18:58:23", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "MistralForCausalLM" }, { - "description": "Japanese-Starling-ChatV-7B このモデルは\"chatntq-ja-7b-v1.0\"をベースにした7Bパラメータの日本語チャットモデルです。", - "url": "https://huggingface.co./AbeShinzo0708/Japanese-Starling-ChatV-7B-exl2", - "project_name": "Japanese-Starling-ChatV-7B-exl2", + "description": "Shisa 7B Shisa 7B (shisa-7b-v1)", + "url": "https://huggingface.co./LoneStriker/shisa-7b-v1-5.0bpw-h6-exl2", + "project_name": "shisa-7b-v1-5.0bpw-h6-exl2", "downloads": 11, "source": "Hugging Face", - "score": -0.10816796662072489, - "first_commit": "2024-04-22 09:34:13", - "latest_commit": "2024-04-22 09:39:09", + "score": -0.11427307255156337, + "first_commit": "2023-12-07 18:07:21", + "latest_commit": "2023-12-07 18:54:27", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "MistralForCausalLM" }, { - "description": "dolly-japanese-gpt-1b-clone 概要 rinna社の「japanese-gpt-1b」を、日本語データセット「databricks-dolly-15k-ja」を使用して学習させた推論モデルです。 ", - "url": "https://huggingface.co./ce-lery/dolly-japanese-gpt-1b-clone", - "project_name": "dolly-japanese-gpt-1b-clone", + "description": "deberta-large-japanese-wikipedia-ud-goeswith Model Description", + "url": "https://huggingface.co./KoichiYasuoka/deberta-large-japanese-wikipedia-ud-goeswith", + "project_name": "deberta-large-japanese-wikipedia-ud-goeswith", "downloads": 11, "source": "Hugging Face", - "score": -0.10816796662072489, - "first_commit": "2023-05-06 03:16:54", - "latest_commit": "2023-05-07 15:47:23", + "score": -0.11427307255156337, + "first_commit": "2022-09-18 08:41:06", + "latest_commit": "2023-05-12 01:29:13", "languages": [], "model_or_dataset": "model", - "model_size": 1.33 + "model_size": null, + "model_architectures": "DebertaV2ForTokenClassification" }, { - "description": "distilhubert-ft-japanese-50k Fine-tuned (more precisely, continue trained)", - "url": "https://huggingface.co./TylorShine/distilhubert-ft-japanese-50k", - "project_name": "distilhubert-ft-japanese-50k", + "description": "roberta-large-japanese-aozora-char Model Description", + "url": "https://huggingface.co./KoichiYasuoka/roberta-large-japanese-aozora-char", + "project_name": "roberta-large-japanese-aozora-char", "downloads": 11, "source": "Hugging Face", - "score": -0.10816796662072489, - "first_commit": "2023-04-20 17:51:47", - "latest_commit": "2023-04-21 18:00:04", + "score": -0.11427307255156337, + "first_commit": "2021-12-30 14:19:53", + "latest_commit": "2022-06-22 10:22:43", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": null, + "model_architectures": "RobertaForMaskedLM" }, { - "description": "bart-base-japanese-news(base-sized model)", - "url": "https://huggingface.co./stockmark/bart-base-japanese-news", - "project_name": "bart-base-japanese-news", + "description": "JP Voice-Text Dataset for", + "url": "https://huggingface.co./datasets/deepghs/fgo_voices_jp", + "project_name": "fgo_voices_jp", "downloads": 11, "source": "Hugging Face", - "score": -0.10816796662072489, - "first_commit": "2023-01-20 04:23:07", - "latest_commit": "2023-12-08 03:39:50", + "score": -0.11427307255156337, + "first_commit": "2024-08-28 08:56:04", + "latest_commit": "2024-08-28 09:14:22", "languages": [], - "model_or_dataset": "model", - "model_size": 0.125 + "model_or_dataset": "dataset", + "model_size": null, + "model_architectures": null }, { "description": "Dataset Details Dataset Type:Japanese LLaVA Pretrain is a localized version of the original LLaVA Pretrain dataset.", @@ -12991,111 +13465,13 @@ "project_name": "LLaVA-Pretrain-JA", "downloads": 11, "source": "Hugging Face", - "score": -0.10816796662072489, + "score": -0.11427307255156337, "first_commit": "2024-04-10 05:07:24", "latest_commit": "2024-04-12 09:15:37", "languages": [], "model_or_dataset": "dataset", - "model_size": null - }, - { - "description": "HF Datasets version of Tanaka Corpus.", - "url": "https://huggingface.co./datasets/hpprc/tanaka-corpus", - "project_name": "tanaka-corpus", - "downloads": 11, - "source": "Hugging Face", - "score": -0.10816796662072489, - "first_commit": "2024-03-21 01:49:50", - "latest_commit": "2024-03-21 12:50:28", - "languages": [], - "model_or_dataset": "dataset", - "model_size": null - }, - { - "description": "common voice, google fleurs, JSUTv1.1, JAS_v2 (joujiboi/japanese-anime-speech-v2)", - "url": "https://huggingface.co./datasets/sin2piusc/jgca_v2_50k_2", - "project_name": "jgca_v2_50k_2", - "downloads": 11, - "source": "Hugging Face", - "score": -0.10816796662072489, - "first_commit": "2024-07-08 18:06:27", - "latest_commit": "2024-07-24 18:58:08", - "languages": [], - "model_or_dataset": "dataset", - "model_size": null - }, - { - "description": "Japanese Dictionary", - "url": "https://github.com/gojp/nihongo", - "project_name": "nihongo", - "stargazers_count": 78, - "source": "GitHub", - "score": -0.1105755451440999, - "first_commit": "2013-09-03 00:22:50", - "latest_commit": "2024-02-07 18:36:24", - "languages": [ - "Go", - "Python" - ], - "model_or_dataset": null - }, - { - "description": "A large parallel corpus of English and Japanese", - "url": "https://github.com/rpryzant/JESC", - "project_name": "JESC", - "stargazers_count": 78, - "source": "GitHub", - "score": -0.1105755451440999, - "first_commit": "2017-10-25 07:41:35", - "latest_commit": "2017-10-31 21:08:56", - "languages": [ - "Python" - ], - "model_or_dataset": "dataset" - }, - { - "description": "Japanese Morphological Analysis written in Rust", - "url": "https://github.com/Leko/goya", - "project_name": "goya", - "stargazers_count": 77, - "source": "GitHub", - "score": -0.11349858564182218, - "first_commit": "2021-09-08 19:51:11", - "latest_commit": "2021-12-30 19:44:15", - "languages": [ - "Rust", - "JavaScript", - "TypeScript" - ], - "model_or_dataset": null - }, - { - "description": "Japanese tokenizer for Transformers", - "url": "https://github.com/WorksApplications/SudachiTra", - "project_name": "SudachiTra", - "stargazers_count": 77, - "source": "GitHub", - "score": -0.11349858564182218, - "first_commit": "2021-06-22 19:48:29", - "latest_commit": "2023-12-15 08:13:45", - "languages": [ - "Python" - ], - "model_or_dataset": "model" - }, - { - "description": "UNICODE絵文字の日本語読み/キーワード/分類辞書", - "url": "https://github.com/yagays/emoji-ja", - "project_name": "emoji-ja", - "stargazers_count": 77, - "source": "GitHub", - "score": -0.11349858564182218, - "first_commit": "2018-08-24 08:25:08", - "latest_commit": "2023-05-09 14:57:44", - "languages": [ - "Python" - ], - "model_or_dataset": "dataset" + "model_size": null, + "model_architectures": null }, { "description": "Kyoto University Web Document Leads Corpus", @@ -13103,7 +13479,7 @@ "project_name": "KWDLC", "stargazers_count": 75, "source": "GitHub", - "score": -0.11934466663726677, + "score": -0.11747244496233353, "first_commit": "2015-05-20 19:13:17", "latest_commit": "2023-12-18 14:13:14", "languages": [ @@ -13117,7 +13493,7 @@ "project_name": "llm-japanese-dataset", "stargazers_count": 75, "source": "GitHub", - "score": -0.11934466663726677, + "score": -0.11747244496233353, "first_commit": "2023-04-19 14:34:02", "latest_commit": "2024-01-23 09:37:30", "languages": [ @@ -13131,7 +13507,7 @@ "project_name": "jrte-corpus", "stargazers_count": 75, "source": "GitHub", - "score": -0.11934466663726677, + "score": -0.11747244496233353, "first_commit": "2020-10-15 14:59:37", "latest_commit": "2023-06-23 14:06:26", "languages": [ @@ -13145,7 +13521,7 @@ "project_name": "JMTrans", "stargazers_count": 74, "source": "GitHub", - "score": -0.12226770713498906, + "score": -0.12040398697493132, "first_commit": "2020-08-19 23:30:03", "latest_commit": "2021-01-16 21:44:37", "languages": [ @@ -13160,7 +13536,7 @@ "project_name": "Dialog", "stargazers_count": 73, "source": "GitHub", - "score": -0.12519074763271135, + "score": -0.12333552898752911, "first_commit": "2019-09-12 13:05:51", "latest_commit": "2020-10-01 17:25:08", "languages": [ @@ -13175,7 +13551,7 @@ "project_name": "jmdict-yomitan", "stargazers_count": 73, "source": "GitHub", - "score": -0.12519074763271135, + "score": -0.12333552898752911, "first_commit": "2023-09-24 20:01:40", "latest_commit": "2024-07-30 10:44:53", "languages": [ @@ -13189,10 +13565,12 @@ "project_name": "nlp100v2020", "stargazers_count": 73, "source": "GitHub", - "score": -0.12519074763271135, - "first_commit": null, - "latest_commit": null, - "languages": [], + "score": -0.12333552898752911, + "first_commit": "2020-04-07 20:23:08", + "latest_commit": "2023-11-05 23:36:07", + "languages": [ + "Python" + ], "model_or_dataset": null }, { @@ -13201,7 +13579,7 @@ "project_name": "Laboro-BERT-Japanese", "stargazers_count": 72, "source": "GitHub", - "score": -0.12811378813043364, + "score": -0.1262670710001269, "first_commit": "2020-03-31 12:05:07", "latest_commit": "2022-05-12 17:06:31", "languages": [ @@ -13215,7 +13593,7 @@ "project_name": "resembla", "stargazers_count": 71, "source": "GitHub", - "score": -0.13103682862815594, + "score": -0.12919861301272467, "first_commit": "2017-07-24 17:07:39", "latest_commit": "2019-01-27 00:08:52", "languages": [ @@ -13231,7 +13609,7 @@ "project_name": "unidic-py", "stargazers_count": 71, "source": "GitHub", - "score": -0.13103682862815594, + "score": -0.12919861301272467, "first_commit": "2020-01-05 16:19:49", "latest_commit": "2023-06-16 20:50:30", "languages": [ @@ -13245,7 +13623,7 @@ "project_name": "wikipedia-utils", "stargazers_count": 71, "source": "GitHub", - "score": -0.13103682862815594, + "score": -0.12919861301272467, "first_commit": "2022-01-09 16:42:14", "latest_commit": "2024-04-10 08:41:09", "languages": [ @@ -13259,7 +13637,7 @@ "project_name": "TinySegmenterMaker", "stargazers_count": 69, "source": "GitHub", - "score": -0.13688290962360053, + "score": -0.13506169703792026, "first_commit": "2012-11-15 22:24:06", "latest_commit": "2022-09-30 13:41:19", "languages": [ @@ -13281,7 +13659,7 @@ "project_name": "aozorabunko_text", "stargazers_count": 69, "source": "GitHub", - "score": -0.13688290962360053, + "score": -0.13506169703792026, "first_commit": "2019-02-11 03:06:07", "latest_commit": "2023-03-22 01:21:29", "languages": [ @@ -13295,7 +13673,7 @@ "project_name": "5ch-analysis", "stargazers_count": 67, "source": "GitHub", - "score": -0.14272899061904512, + "score": -0.14092478106311582, "first_commit": "2018-11-11 16:58:44", "latest_commit": "2018-11-11 23:37:16", "languages": [ @@ -13309,7 +13687,7 @@ "project_name": "wana_kana_rust", "stargazers_count": 67, "source": "GitHub", - "score": -0.14272899061904512, + "score": -0.14092478106311582, "first_commit": "2018-02-02 18:39:03", "latest_commit": "2023-01-19 21:51:26", "languages": [ @@ -13324,7 +13702,7 @@ "project_name": "japanese-clip", "stargazers_count": 66, "source": "GitHub", - "score": -0.1456520311167674, + "score": -0.1438563230757136, "first_commit": "2022-04-25 17:19:28", "latest_commit": "2022-07-19 18:20:52", "languages": [ @@ -13338,7 +13716,7 @@ "project_name": "dic-nico-intersection-pixiv", "stargazers_count": 66, "source": "GitHub", - "score": -0.1456520311167674, + "score": -0.1438563230757136, "first_commit": "2017-03-09 08:44:44", "latest_commit": "2024-04-19 13:29:16", "languages": [ @@ -13352,7 +13730,7 @@ "project_name": "mouse_over_dictionary", "stargazers_count": 66, "source": "GitHub", - "score": -0.1456520311167674, + "score": -0.1438563230757136, "first_commit": "2020-01-09 20:26:17", "latest_commit": "2020-01-24 08:57:39", "languages": [ @@ -13366,7 +13744,7 @@ "project_name": "BSD", "stargazers_count": 66, "source": "GitHub", - "score": -0.1456520311167674, + "score": -0.1438563230757136, "first_commit": "2020-07-25 01:04:11", "latest_commit": "2021-11-10 21:33:34", "languages": [], @@ -13378,7 +13756,7 @@ "project_name": "neural_ime", "stargazers_count": 65, "source": "GitHub", - "score": -0.14857507161448968, + "score": -0.1467878650883114, "first_commit": "2016-10-31 15:23:42", "latest_commit": "2016-12-27 21:10:30", "languages": [ @@ -13392,7 +13770,7 @@ "project_name": "cskk", "stargazers_count": 65, "source": "GitHub", - "score": -0.14857507161448968, + "score": -0.1467878650883114, "first_commit": "2018-06-17 15:36:26", "latest_commit": "2024-03-10 13:45:41", "languages": [ @@ -13407,7 +13785,7 @@ "project_name": "ibus-hiragana", "stargazers_count": 64, "source": "GitHub", - "score": -0.15149811211221198, + "score": -0.1497194071009092, "first_commit": "2017-04-28 03:50:59", "latest_commit": "2024-08-15 04:09:53", "languages": [ @@ -13421,7 +13799,7 @@ "project_name": "pdmocrdataset-part1", "stargazers_count": 64, "source": "GitHub", - "score": -0.15149811211221198, + "score": -0.1497194071009092, "first_commit": "2022-04-20 11:55:33", "latest_commit": "2024-06-26 16:10:44", "languages": [], @@ -13433,7 +13811,7 @@ "project_name": "ja_sentence_segmenter", "stargazers_count": 63, "source": "GitHub", - "score": -0.15442115260993428, + "score": -0.152650949113507, "first_commit": "2019-12-15 13:50:07", "latest_commit": "2023-04-03 13:09:20", "languages": [ @@ -13447,7 +13825,7 @@ "project_name": "daaja", "stargazers_count": 63, "source": "GitHub", - "score": -0.15442115260993428, + "score": -0.152650949113507, "first_commit": "2022-02-12 20:22:34", "latest_commit": "2023-02-16 19:39:30", "languages": [ @@ -13462,7 +13840,7 @@ "project_name": "nlp-recipes-ja", "stargazers_count": 63, "source": "GitHub", - "score": -0.15442115260993428, + "score": -0.152650949113507, "first_commit": "2020-08-01 09:09:07", "latest_commit": "2021-04-11 08:07:45", "languages": [ @@ -13477,7 +13855,7 @@ "project_name": "spacy_tutorial", "stargazers_count": 63, "source": "GitHub", - "score": -0.15442115260993428, + "score": -0.152650949113507, "first_commit": "2019-12-29 04:28:30", "latest_commit": "2020-01-24 20:02:24", "languages": [ @@ -13491,7 +13869,7 @@ "project_name": "gptuber-by-langchain", "stargazers_count": 62, "source": "GitHub", - "score": -0.15734419310765657, + "score": -0.15558249112610475, "first_commit": "2023-01-07 00:37:20", "latest_commit": "2023-01-07 00:37:20", "languages": [ @@ -13505,7 +13883,7 @@ "project_name": "gptuber-by-langchain", "stargazers_count": 62, "source": "GitHub", - "score": -0.15734419310765657, + "score": -0.15558249112610475, "first_commit": "2023-01-07 00:37:20", "latest_commit": "2023-01-07 00:37:20", "languages": [ @@ -13519,7 +13897,7 @@ "project_name": "fugumt", "stargazers_count": 61, "source": "GitHub", - "score": -0.16026723360537887, + "score": -0.15851403313870255, "first_commit": "2021-01-02 20:35:49", "latest_commit": "2021-02-28 11:46:52", "languages": [ @@ -13533,7 +13911,7 @@ "project_name": "jakaroma", "stargazers_count": 61, "source": "GitHub", - "score": -0.16026723360537887, + "score": -0.15851403313870255, "first_commit": "2016-04-11 18:21:38", "latest_commit": "2021-03-30 23:21:16", "languages": [ @@ -13547,7 +13925,7 @@ "project_name": "jageocoder", "stargazers_count": 60, "source": "GitHub", - "score": -0.16319027410310116, + "score": -0.16144557515130034, "first_commit": "2021-02-20 17:31:56", "latest_commit": "2024-07-03 06:01:58", "languages": [ @@ -13561,7 +13939,7 @@ "project_name": "llm-leaderboard", "stargazers_count": 60, "source": "GitHub", - "score": -0.16319027410310116, + "score": -0.16144557515130034, "first_commit": "2023-06-27 15:09:25", "latest_commit": "2024-08-07 00:38:16", "languages": [ @@ -13575,7 +13953,7 @@ "project_name": "chatgpt-slackbot", "stargazers_count": 60, "source": "GitHub", - "score": -0.16319027410310116, + "score": -0.16144557515130034, "first_commit": "2022-12-06 22:50:09", "latest_commit": "2024-07-22 18:50:41", "languages": [ @@ -13589,7 +13967,7 @@ "project_name": "IOB2Corpus", "stargazers_count": 60, "source": "GitHub", - "score": -0.16319027410310116, + "score": -0.16144557515130034, "first_commit": "2016-01-29 09:21:25", "latest_commit": "2020-02-25 09:34:11", "languages": [], @@ -13601,7 +13979,7 @@ "project_name": "japanese", "stargazers_count": 60, "source": "GitHub", - "score": -0.16319027410310116, + "score": -0.16144557515130034, "first_commit": "2018-09-13 21:10:10", "latest_commit": "2018-09-13 22:02:23", "languages": [], @@ -13613,7 +13991,7 @@ "project_name": "japanese-numerals-to-number", "stargazers_count": 58, "source": "GitHub", - "score": -0.16903635509854573, + "score": -0.1673086591764959, "first_commit": "2017-02-25 22:53:18", "latest_commit": "2023-02-17 01:34:12", "languages": [ @@ -13627,7 +14005,7 @@ "project_name": "simple-simcse-ja", "stargazers_count": 57, "source": "GitHub", - "score": -0.17195939559626802, + "score": -0.1702402011890937, "first_commit": "2022-11-11 19:05:53", "latest_commit": "2023-10-31 14:18:17", "languages": [ @@ -13641,7 +14019,7 @@ "project_name": "mecab-rs", "stargazers_count": 55, "source": "GitHub", - "score": -0.1778054765917126, + "score": -0.17610328521428928, "first_commit": "2015-04-19 09:30:14", "latest_commit": "2023-09-03 22:03:49", "languages": [ @@ -13655,7 +14033,7 @@ "project_name": "YouyakuMan", "stargazers_count": 53, "source": "GitHub", - "score": -0.1836515575871572, + "score": -0.18196636923948484, "first_commit": "2019-10-29 17:43:01", "latest_commit": "2020-09-02 13:37:05", "languages": [ @@ -13669,7 +14047,7 @@ "project_name": "dvorakjp-romantable", "stargazers_count": 53, "source": "GitHub", - "score": -0.1836515575871572, + "score": -0.18196636923948484, "first_commit": "2015-10-11 16:49:41", "latest_commit": "2024-06-24 12:24:34", "languages": [ @@ -13683,7 +14061,7 @@ "project_name": "mozcdict-ext", "stargazers_count": 52, "source": "GitHub", - "score": -0.1865745980848795, + "score": -0.18489791125208263, "first_commit": "2023-01-12 18:13:26", "latest_commit": "2024-07-13 17:37:43", "languages": [ @@ -13697,7 +14075,7 @@ "project_name": "japanese-lm-fin-harness", "stargazers_count": 51, "source": "GitHub", - "score": -0.1894976385826018, + "score": -0.18782945326468042, "first_commit": "2023-09-28 10:48:05", "latest_commit": "2024-08-07 13:01:57", "languages": [ @@ -13711,7 +14089,7 @@ "project_name": "kakasi-java", "stargazers_count": 51, "source": "GitHub", - "score": -0.1894976385826018, + "score": -0.18782945326468042, "first_commit": "2012-01-18 17:33:15", "latest_commit": "2016-04-13 15:56:34", "languages": [ @@ -13725,7 +14103,7 @@ "project_name": "chikkarpy", "stargazers_count": 50, "source": "GitHub", - "score": -0.1924206790803241, + "score": -0.19076099527727822, "first_commit": "2021-05-24 17:10:56", "latest_commit": "2022-02-07 15:11:36", "languages": [ @@ -13739,7 +14117,7 @@ "project_name": "Retrieval-based-Voice-Conversion-WebUI-JP-localization", "stargazers_count": 50, "source": "GitHub", - "score": -0.1924206790803241, + "score": -0.19076099527727822, "first_commit": "2023-03-27 17:59:11", "latest_commit": "2023-04-11 11:08:47", "languages": [ @@ -13754,7 +14132,7 @@ "project_name": "lindera-tantivy", "stargazers_count": 50, "source": "GitHub", - "score": -0.1924206790803241, + "score": -0.19076099527727822, "first_commit": "2020-02-19 10:37:34", "latest_commit": "2023-12-02 21:03:48", "languages": [ @@ -13768,7 +14146,7 @@ "project_name": "kuroshiro-analyzer-kuromoji", "stargazers_count": 50, "source": "GitHub", - "score": -0.1924206790803241, + "score": -0.19076099527727822, "first_commit": "2018-03-09 17:41:37", "latest_commit": "2018-08-05 12:41:55", "languages": [ @@ -13782,7 +14160,7 @@ "project_name": "yomichan-jlpt-vocab", "stargazers_count": 50, "source": "GitHub", - "score": -0.1924206790803241, + "score": -0.19076099527727822, "first_commit": "2021-09-01 18:36:57", "latest_commit": "2023-04-06 22:29:12", "languages": [ @@ -13796,7 +14174,7 @@ "project_name": "rohan4600", "stargazers_count": 50, "source": "GitHub", - "score": -0.1924206790803241, + "score": -0.19076099527727822, "first_commit": "2021-07-31 23:43:43", "latest_commit": "2023-02-01 12:51:29", "languages": [], @@ -13808,7 +14186,7 @@ "project_name": "fasttext-vs-word2vec-on-twitter-data", "stargazers_count": 49, "source": "GitHub", - "score": -0.19534371957804636, + "score": -0.19369253728987598, "first_commit": "2017-03-30 23:10:04", "latest_commit": "2017-08-23 10:53:09", "languages": [ @@ -13822,7 +14200,7 @@ "project_name": "embedrank", "stargazers_count": 48, "source": "GitHub", - "score": -0.19826676007576866, + "score": -0.19662407930247378, "first_commit": "2019-02-01 11:40:50", "latest_commit": "2019-03-19 09:05:41", "languages": [ @@ -13836,7 +14214,7 @@ "project_name": "japanese-llama-experiment", "stargazers_count": 48, "source": "GitHub", - "score": -0.19826676007576866, + "score": -0.19662407930247378, "first_commit": "2023-06-28 17:43:53", "latest_commit": "2024-03-10 23:31:45", "languages": [ @@ -13852,7 +14230,7 @@ "project_name": "esupar", "stargazers_count": 47, "source": "GitHub", - "score": -0.20118980057349095, + "score": -0.19955562131507157, "first_commit": "2021-09-18 07:28:30", "latest_commit": "2024-08-15 20:37:47", "languages": [ @@ -13867,7 +14245,7 @@ "project_name": "japanese-llm-ranking", "stargazers_count": 47, "source": "GitHub", - "score": -0.20118980057349095, + "score": -0.19955562131507157, "first_commit": "2023-06-28 18:31:52", "latest_commit": "2024-03-04 18:17:06", "languages": [ @@ -13882,7 +14260,7 @@ "project_name": "tinysegmenter", "stargazers_count": 47, "source": "GitHub", - "score": -0.20118980057349095, + "score": -0.19955562131507157, "first_commit": "2014-07-04 17:23:23", "latest_commit": "2015-11-03 21:49:19", "languages": [ @@ -13896,7 +14274,7 @@ "project_name": "jslingua", "stargazers_count": 47, "source": "GitHub", - "score": -0.20118980057349095, + "score": -0.19955562131507157, "first_commit": "2016-03-22 10:52:37", "latest_commit": "2023-10-19 22:01:23", "languages": [ @@ -13911,7 +14289,7 @@ "project_name": "LLaVA-JP", "stargazers_count": 46, "source": "GitHub", - "score": -0.20411284107121325, + "score": -0.20248716332766936, "first_commit": "2023-12-01 12:26:17", "latest_commit": "2024-06-05 23:42:35", "languages": [ @@ -13925,7 +14303,7 @@ "project_name": "language-pretraining", "stargazers_count": 46, "source": "GitHub", - "score": -0.20411284107121325, + "score": -0.20248716332766936, "first_commit": "2021-07-07 12:07:22", "latest_commit": "2023-05-19 23:15:30", "languages": [ @@ -13939,7 +14317,7 @@ "project_name": "azure-search-openai-demo", "stargazers_count": 46, "source": "GitHub", - "score": -0.20411284107121325, + "score": -0.20248716332766936, "first_commit": "2023-02-08 13:00:55", "latest_commit": "2023-12-07 18:16:07", "languages": [ @@ -13955,7 +14333,7 @@ "project_name": "jawiki-kana-kanji-dict", "stargazers_count": 46, "source": "GitHub", - "score": -0.20411284107121325, + "score": -0.20248716332766936, "first_commit": "2020-08-23 02:36:22", "latest_commit": "2024-08-09 14:54:51", "languages": [ @@ -13969,7 +14347,7 @@ "project_name": "google-ime-user-dictionary-ja-en", "stargazers_count": 45, "source": "GitHub", - "score": -0.20703588156893554, + "score": -0.20541870534026715, "first_commit": "2009-12-11 10:24:53", "latest_commit": "2016-12-23 19:44:09", "languages": [], @@ -13981,7 +14359,7 @@ "project_name": "LINE-DistilBERT-Japanese", "stargazers_count": 44, "source": "GitHub", - "score": -0.20995892206665784, + "score": -0.20835024735286492, "first_commit": "2023-03-09 18:50:06", "latest_commit": "2023-03-22 15:09:22", "languages": [], @@ -13993,7 +14371,7 @@ "project_name": "JSICK", "stargazers_count": 44, "source": "GitHub", - "score": -0.20995892206665784, + "score": -0.20835024735286492, "first_commit": "2021-05-24 18:12:15", "latest_commit": "2023-05-31 17:48:45", "languages": [], @@ -14005,7 +14383,7 @@ "project_name": "Convert-Numbers-to-Japanese", "stargazers_count": 43, "source": "GitHub", - "score": -0.21288196256438013, + "score": -0.2112817893654627, "first_commit": "2017-03-24 12:30:39", "latest_commit": "2020-11-26 16:37:30", "languages": [ @@ -14019,7 +14397,7 @@ "project_name": "japanese-daily-dialogue", "stargazers_count": 43, "source": "GitHub", - "score": -0.21288196256438013, + "score": -0.2112817893654627, "first_commit": "2023-03-15 16:53:41", "latest_commit": "2023-03-17 18:53:28", "languages": [], @@ -14031,7 +14409,7 @@ "project_name": "namaco", "stargazers_count": 41, "source": "GitHub", - "score": -0.21872804355982473, + "score": -0.2171448733906583, "first_commit": "2017-10-11 09:53:23", "latest_commit": "2018-02-09 06:27:36", "languages": [ @@ -14046,7 +14424,7 @@ "project_name": "llm-jp-sft", "stargazers_count": 41, "source": "GitHub", - "score": -0.21872804355982473, + "score": -0.2171448733906583, "first_commit": "2023-09-22 14:30:09", "latest_commit": "2024-06-13 13:17:38", "languages": [ @@ -14060,7 +14438,7 @@ "project_name": "node-romaji-name", "stargazers_count": 41, "source": "GitHub", - "score": -0.21872804355982473, + "score": -0.2171448733906583, "first_commit": "2013-08-24 10:50:11", "latest_commit": "2023-12-27 13:27:03", "languages": [ @@ -14074,7 +14452,7 @@ "project_name": "japanese-toolkit", "stargazers_count": 41, "source": "GitHub", - "score": -0.21872804355982473, + "score": -0.2171448733906583, "first_commit": "2020-07-09 05:58:18", "latest_commit": "2023-01-08 23:53:43", "languages": [ @@ -14089,7 +14467,7 @@ "project_name": "make-meidai-dialogue", "stargazers_count": 40, "source": "GitHub", - "score": -0.221651084057547, + "score": -0.2200764154032561, "first_commit": "2016-11-10 13:45:38", "latest_commit": "2017-09-29 07:53:24", "languages": [ @@ -14103,7 +14481,7 @@ "project_name": "vits-japros-webui", "stargazers_count": 40, "source": "GitHub", - "score": -0.221651084057547, + "score": -0.2200764154032561, "first_commit": "2023-09-30 17:09:14", "latest_commit": "2024-01-05 22:42:43", "languages": [ @@ -14119,7 +14497,7 @@ "project_name": "bert-japanese-aozora", "stargazers_count": 40, "source": "GitHub", - "score": -0.221651084057547, + "score": -0.2200764154032561, "first_commit": "2020-03-08 10:20:43", "latest_commit": "2020-08-08 12:06:20", "languages": [], @@ -14131,7 +14509,7 @@ "project_name": "koniwa", "stargazers_count": 40, "source": "GitHub", - "score": -0.221651084057547, + "score": -0.2200764154032561, "first_commit": "2021-10-29 21:19:06", "latest_commit": "2024-08-02 10:48:21", "languages": [ @@ -14146,7 +14524,7 @@ "project_name": "DocumentClassificationUsingBERT-Japanese", "stargazers_count": 40, "source": "GitHub", - "score": -0.221651084057547, + "score": -0.2200764154032561, "first_commit": "2019-12-16 00:55:48", "latest_commit": "2021-01-29 10:59:18", "languages": [ @@ -14161,7 +14539,7 @@ "project_name": "Japanese-BPEEncoder", "stargazers_count": 39, "source": "GitHub", - "score": -0.2245741245552693, + "score": -0.22300795741585386, "first_commit": "2020-10-03 12:21:03", "latest_commit": "2021-09-12 09:58:42", "languages": [ @@ -14175,7 +14553,7 @@ "project_name": "kanjigrid", "stargazers_count": 39, "source": "GitHub", - "score": -0.2245741245552693, + "score": -0.22300795741585386, "first_commit": "2018-10-26 15:47:29", "latest_commit": "2018-11-19 14:14:00", "languages": [ @@ -14189,7 +14567,7 @@ "project_name": "t5-japanese", "stargazers_count": 39, "source": "GitHub", - "score": -0.2245741245552693, + "score": -0.22300795741585386, "first_commit": "2021-08-25 09:55:16", "latest_commit": "2021-09-07 14:11:02", "languages": [ @@ -14203,7 +14581,7 @@ "project_name": "emoticon", "stargazers_count": 39, "source": "GitHub", - "score": -0.2245741245552693, + "score": -0.22300795741585386, "first_commit": "2013-12-29 17:16:16", "latest_commit": "2020-05-07 13:36:42", "languages": [ @@ -14217,7 +14595,7 @@ "project_name": "llm-jp-corpus", "stargazers_count": 39, "source": "GitHub", - "score": -0.2245741245552693, + "score": -0.22300795741585386, "first_commit": "2023-06-14 13:21:33", "latest_commit": "2023-10-23 10:04:18", "languages": [ @@ -14231,7 +14609,7 @@ "project_name": "xvector_jtubespeech", "stargazers_count": 38, "source": "GitHub", - "score": -0.22749716505299158, + "score": -0.22593949942845165, "first_commit": "2022-03-08 11:00:20", "latest_commit": "2023-11-05 14:48:26", "languages": [ @@ -14245,7 +14623,7 @@ "project_name": "IgakuQA", "stargazers_count": 38, "source": "GitHub", - "score": -0.22749716505299158, + "score": -0.22593949942845165, "first_commit": "2023-03-31 10:29:20", "latest_commit": "2023-03-31 10:29:20", "languages": [ @@ -14259,7 +14637,7 @@ "project_name": "Japanese-BPEEncoder_V2", "stargazers_count": 37, "source": "GitHub", - "score": -0.23042020555071388, + "score": -0.22887104144104944, "first_commit": "2021-08-23 19:09:11", "latest_commit": "2023-01-15 12:43:44", "languages": [ @@ -14273,7 +14651,7 @@ "project_name": "Mykytea-python", "stargazers_count": 36, "source": "GitHub", - "score": -0.23334324604843618, + "score": -0.23180258345364724, "first_commit": "2011-07-15 11:45:10", "latest_commit": "2024-01-15 17:30:17", "languages": [ @@ -14288,7 +14666,7 @@ "project_name": "handwritten-japanese-ocr", "stargazers_count": 36, "source": "GitHub", - "score": -0.23334324604843618, + "score": -0.23180258345364724, "first_commit": "2020-05-01 17:27:13", "latest_commit": "2022-04-05 11:16:31", "languages": [ @@ -14303,7 +14681,7 @@ "project_name": "japanese-llm-roleplay-benchmark", "stargazers_count": 36, "source": "GitHub", - "score": -0.23334324604843618, + "score": -0.23180258345364724, "first_commit": "2023-09-15 23:52:27", "latest_commit": "2023-11-03 22:01:24", "languages": [ @@ -14318,7 +14696,7 @@ "project_name": "python-vibrato", "stargazers_count": 35, "source": "GitHub", - "score": -0.23626628654615847, + "score": -0.234734125466245, "first_commit": "2022-12-08 12:29:38", "latest_commit": "2023-09-05 22:16:59", "languages": [ @@ -14333,7 +14711,7 @@ "project_name": "mozcpy", "stargazers_count": 35, "source": "GitHub", - "score": -0.23626628654615847, + "score": -0.234734125466245, "first_commit": "2022-08-21 02:20:37", "latest_commit": "2023-12-12 00:56:24", "languages": [ @@ -14347,7 +14725,7 @@ "project_name": "ja-tokenizer-docker-py", "stargazers_count": 35, "source": "GitHub", - "score": -0.23626628654615847, + "score": -0.234734125466245, "first_commit": "2022-05-08 13:45:30", "latest_commit": "2022-05-10 16:55:48", "languages": [ @@ -14362,7 +14740,7 @@ "project_name": "JIWC-Dictionary", "stargazers_count": 35, "source": "GitHub", - "score": -0.23626628654615847, + "score": -0.234734125466245, "first_commit": "2020-07-31 16:28:26", "latest_commit": "2021-01-27 17:39:40", "languages": [], @@ -14374,7 +14752,7 @@ "project_name": "wikihow_japanese", "stargazers_count": 35, "source": "GitHub", - "score": -0.23626628654615847, + "score": -0.234734125466245, "first_commit": "2020-06-29 03:11:23", "latest_commit": "2020-12-18 03:54:55", "languages": [ @@ -14388,7 +14766,7 @@ "project_name": "react-native-japanese-tokenizer", "stargazers_count": 34, "source": "GitHub", - "score": -0.23918932704388077, + "score": -0.2376656674788428, "first_commit": "2018-03-14 15:07:47", "latest_commit": "2023-06-19 09:34:01", "languages": [ @@ -14403,7 +14781,7 @@ "project_name": "pytorch_bert_japanese", "stargazers_count": 34, "source": "GitHub", - "score": -0.23918932704388077, + "score": -0.2376656674788428, "first_commit": "2019-06-05 21:42:27", "latest_commit": "2019-06-07 14:27:41", "languages": [ @@ -14417,7 +14795,7 @@ "project_name": "nayose-wikipedia-ja", "stargazers_count": 34, "source": "GitHub", - "score": -0.23918932704388077, + "score": -0.2376656674788428, "first_commit": "2020-03-09 09:16:39", "latest_commit": "2020-03-10 11:04:36", "languages": [ @@ -14431,7 +14809,7 @@ "project_name": "python-npylm", "stargazers_count": 33, "source": "GitHub", - "score": -0.24211236754160306, + "score": -0.2405972094914406, "first_commit": "2016-12-18 21:03:18", "latest_commit": "2019-01-30 16:35:14", "languages": [ @@ -14446,7 +14824,7 @@ "project_name": "EN-JP-ML-Lexicon", "stargazers_count": 33, "source": "GitHub", - "score": -0.24211236754160306, + "score": -0.2405972094914406, "first_commit": "2019-05-27 16:29:35", "latest_commit": "2021-03-13 09:19:56", "languages": [], @@ -14458,7 +14836,7 @@ "project_name": "albert-japanese", "stargazers_count": 33, "source": "GitHub", - "score": -0.24211236754160306, + "score": -0.2405972094914406, "first_commit": "2018-12-27 20:05:33", "latest_commit": "2021-10-28 19:57:23", "languages": [ @@ -14473,7 +14851,7 @@ "project_name": "pva-aoai-integration-solution", "stargazers_count": 33, "source": "GitHub", - "score": -0.24211236754160306, + "score": -0.2405972094914406, "first_commit": "2023-06-20 13:50:54", "latest_commit": "2023-08-14 18:03:34", "languages": [], @@ -14485,7 +14863,7 @@ "project_name": "unidic-lite", "stargazers_count": 33, "source": "GitHub", - "score": -0.24211236754160306, + "score": -0.2405972094914406, "first_commit": "2020-04-07 16:24:18", "latest_commit": "2020-09-01 22:50:07", "languages": [ @@ -14499,7 +14877,7 @@ "project_name": "UniDic2UD", "stargazers_count": 32, "source": "GitHub", - "score": -0.24503540803932536, + "score": -0.24352875150403838, "first_commit": "2019-08-27 00:45:01", "latest_commit": "2024-01-31 23:53:51", "languages": [ @@ -14514,7 +14892,7 @@ "project_name": "ja-vicuna-qa-benchmark", "stargazers_count": 32, "source": "GitHub", - "score": -0.24503540803932536, + "score": -0.24352875150403838, "first_commit": "2023-08-11 15:38:05", "latest_commit": "2024-06-11 16:24:06", "languages": [ @@ -14528,7 +14906,7 @@ "project_name": "text2text-japanese", "stargazers_count": 32, "source": "GitHub", - "score": -0.24503540803932536, + "score": -0.24352875150403838, "first_commit": "2021-02-11 12:28:53", "latest_commit": "2021-07-22 14:26:45", "languages": [ @@ -14542,7 +14920,7 @@ "project_name": "simple-jppdb", "stargazers_count": 32, "source": "GitHub", - "score": -0.24503540803932536, + "score": -0.24352875150403838, "first_commit": "2017-03-09 19:29:19", "latest_commit": "2017-03-13 00:01:48", "languages": [ @@ -14556,7 +14934,7 @@ "project_name": "whisper-asr-finetune", "stargazers_count": 31, "source": "GitHub", - "score": -0.24795844853704763, + "score": -0.24646029351663618, "first_commit": "2022-10-27 20:22:00", "latest_commit": "2022-12-04 21:29:47", "languages": [ @@ -14570,7 +14948,7 @@ "project_name": "moji4j", "stargazers_count": 31, "source": "GitHub", - "score": -0.24795844853704763, + "score": -0.24646029351663618, "first_commit": "2016-07-08 09:13:16", "latest_commit": "2022-06-24 09:00:44", "languages": [ @@ -14585,7 +14963,7 @@ "project_name": "jvs_hiho", "stargazers_count": 31, "source": "GitHub", - "score": -0.24795844853704763, + "score": -0.24646029351663618, "first_commit": "2020-02-02 01:24:43", "latest_commit": "2021-02-11 15:29:19", "languages": [], @@ -14597,7 +14975,7 @@ "project_name": "janome-tutorial", "stargazers_count": 31, "source": "GitHub", - "score": -0.24795844853704763, + "score": -0.24646029351663618, "first_commit": "2019-03-03 15:25:08", "latest_commit": "2019-03-03 16:46:00", "languages": [ @@ -14613,7 +14991,7 @@ "project_name": "marine", "stargazers_count": 30, "source": "GitHub", - "score": -0.2508814890347699, + "score": -0.24939183552923394, "first_commit": "2022-09-05 20:23:40", "latest_commit": "2022-09-20 10:26:24", "languages": [ @@ -14627,7 +15005,7 @@ "project_name": "ThreeLineSummaryDataset", "stargazers_count": 30, "source": "GitHub", - "score": -0.2508814890347699, + "score": -0.24939183552923394, "first_commit": "2018-01-25 02:27:22", "latest_commit": "2018-04-04 22:24:47", "languages": [], @@ -14639,7 +15017,7 @@ "project_name": "data_set", "stargazers_count": 30, "source": "GitHub", - "score": -0.2508814890347699, + "score": -0.24939183552923394, "first_commit": "2023-01-15 08:39:44", "latest_commit": "2024-05-14 17:37:05", "languages": [], @@ -14651,7 +15029,7 @@ "project_name": "rhoknp", "stargazers_count": 29, "source": "GitHub", - "score": -0.2538045295324922, + "score": -0.25232337754183176, "first_commit": "2021-08-03 14:50:30", "latest_commit": "2024-07-16 09:26:45", "languages": [ @@ -14666,7 +15044,7 @@ "project_name": "knp", "stargazers_count": 29, "source": "GitHub", - "score": -0.2538045295324922, + "score": -0.25232337754183176, "first_commit": "1999-03-12 09:09:08", "latest_commit": "2023-11-01 21:02:34", "languages": [ @@ -14686,7 +15064,7 @@ "project_name": "elasticsearch-analysis-japanese", "stargazers_count": 29, "source": "GitHub", - "score": -0.2538045295324922, + "score": -0.25232337754183176, "first_commit": "2012-01-11 13:32:35", "latest_commit": "2012-03-06 23:36:46", "languages": [ @@ -14700,7 +15078,7 @@ "project_name": "nijisanji-ime-dic", "stargazers_count": 29, "source": "GitHub", - "score": -0.2538045295324922, + "score": -0.25232337754183176, "first_commit": "2019-12-30 01:37:16", "latest_commit": "2024-08-14 12:35:13", "languages": [], @@ -14712,7 +15090,7 @@ "project_name": "anthy-unicode", "stargazers_count": 29, "source": "GitHub", - "score": -0.2538045295324922, + "score": -0.25232337754183176, "first_commit": "2013-06-30 11:09:24", "latest_commit": "2024-05-02 14:12:10", "languages": [ @@ -14726,7 +15104,7 @@ "project_name": "BERT_Japanese_Google_Colaboratory", "stargazers_count": 29, "source": "GitHub", - "score": -0.2538045295324922, + "score": -0.25232337754183176, "first_commit": "2020-05-14 14:53:17", "latest_commit": "2022-01-25 11:58:44", "languages": [ @@ -14740,7 +15118,7 @@ "project_name": "bert", "stargazers_count": 28, "source": "GitHub", - "score": -0.2567275700302145, + "score": -0.2552549195544295, "first_commit": "2022-04-05 17:03:10", "latest_commit": "2022-04-05 17:03:55", "languages": [ @@ -14754,7 +15132,7 @@ "project_name": "UD_Japanese-GSD", "stargazers_count": 28, "source": "GitHub", - "score": -0.2567275700302145, + "score": -0.2552549195544295, "first_commit": "2016-10-12 10:33:42", "latest_commit": "2022-05-29 11:52:21", "languages": [ @@ -14768,7 +15146,7 @@ "project_name": "comet-atomic-ja", "stargazers_count": 28, "source": "GitHub", - "score": -0.2567275700302145, + "score": -0.2552549195544295, "first_commit": "2023-02-04 10:39:44", "latest_commit": "2024-03-08 22:31:37", "languages": [ @@ -14782,7 +15160,7 @@ "project_name": "transformer-copy", "stargazers_count": 27, "source": "GitHub", - "score": -0.2596506105279368, + "score": -0.2581864615670273, "first_commit": "2019-08-24 23:18:00", "latest_commit": "2020-09-25 23:12:54", "languages": [ @@ -14798,7 +15176,7 @@ "project_name": "crawdad", "stargazers_count": 27, "source": "GitHub", - "score": -0.2596506105279368, + "score": -0.2581864615670273, "first_commit": "2022-03-20 23:22:50", "latest_commit": "2023-02-20 22:23:22", "languages": [ @@ -14812,7 +15190,7 @@ "project_name": "jpreprocess", "stargazers_count": 27, "source": "GitHub", - "score": -0.2596506105279368, + "score": -0.2581864615670273, "first_commit": "2022-12-18 17:32:12", "latest_commit": "2024-08-14 09:22:07", "languages": [ @@ -14828,7 +15206,7 @@ "project_name": "Japanese_nlp_scripts", "stargazers_count": 26, "source": "GitHub", - "score": -0.2625736510256591, + "score": -0.2611180035796251, "first_commit": "2015-05-18 17:15:00", "latest_commit": "2019-06-30 18:33:13", "languages": [ @@ -14842,7 +15220,7 @@ "project_name": "yoin", "stargazers_count": 26, "source": "GitHub", - "score": -0.2625736510256591, + "score": -0.2611180035796251, "first_commit": "2017-01-15 23:54:52", "latest_commit": "2017-10-27 17:44:55", "languages": [ @@ -14856,7 +15234,7 @@ "project_name": "imas-ime-dic", "stargazers_count": 26, "source": "GitHub", - "score": -0.2625736510256591, + "score": -0.2611180035796251, "first_commit": "2018-04-25 02:07:26", "latest_commit": "2024-04-19 01:05:34", "languages": [ @@ -14870,7 +15248,7 @@ "project_name": "security_words", "stargazers_count": 26, "source": "GitHub", - "score": -0.2625736510256591, + "score": -0.2611180035796251, "first_commit": "2020-04-27 12:23:28", "latest_commit": "2023-08-18 10:02:08", "languages": [], @@ -14882,7 +15260,7 @@ "project_name": "yomikata", "stargazers_count": 25, "source": "GitHub", - "score": -0.2654966915233814, + "score": -0.2640495455922229, "first_commit": "2023-02-21 01:43:00", "latest_commit": "2023-10-03 09:10:45", "languages": [ @@ -14897,7 +15275,7 @@ "project_name": "nksnd", "stargazers_count": 25, "source": "GitHub", - "score": -0.2654966915233814, + "score": -0.2640495455922229, "first_commit": "2016-05-24 18:52:03", "latest_commit": "2018-05-17 08:54:24", "languages": [ @@ -14911,7 +15289,7 @@ "project_name": "tweetMapping", "stargazers_count": 25, "source": "GitHub", - "score": -0.2654966915233814, + "score": -0.2640495455922229, "first_commit": "2021-02-17 07:55:27", "latest_commit": "2023-12-08 21:42:44", "languages": [ @@ -14925,7 +15303,7 @@ "project_name": "ipadic-py", "stargazers_count": 25, "source": "GitHub", - "score": -0.2654966915233814, + "score": -0.2640495455922229, "first_commit": "2020-07-16 16:19:26", "latest_commit": "2021-10-31 04:47:19", "languages": [ @@ -14939,7 +15317,7 @@ "project_name": "JMRD", "stargazers_count": 25, "source": "GitHub", - "score": -0.2654966915233814, + "score": -0.2640495455922229, "first_commit": "2022-07-15 09:43:44", "latest_commit": "2022-07-19 10:02:29", "languages": [], @@ -14951,7 +15329,7 @@ "project_name": "vrchatbot", "stargazers_count": 24, "source": "GitHub", - "score": -0.2684197320211037, + "score": -0.2669810876048207, "first_commit": "2022-12-10 22:48:39", "latest_commit": "2022-12-20 17:18:44", "languages": [ @@ -14965,7 +15343,7 @@ "project_name": "llm-jp-tokenizer", "stargazers_count": 23, "source": "GitHub", - "score": -0.271342772518826, + "score": -0.26991262961741846, "first_commit": "2023-07-13 12:52:22", "latest_commit": "2024-07-05 13:56:54", "languages": [ @@ -14979,7 +15357,7 @@ "project_name": "python_asa", "stargazers_count": 23, "source": "GitHub", - "score": -0.271342772518826, + "score": -0.26991262961741846, "first_commit": "2018-07-25 04:13:21", "latest_commit": "2020-01-14 17:09:11", "languages": [ @@ -14993,7 +15371,7 @@ "project_name": "hatsuon", "stargazers_count": 23, "source": "GitHub", - "score": -0.271342772518826, + "score": -0.26991262961741846, "first_commit": "2018-04-06 12:06:12", "latest_commit": "2022-03-14 18:06:39", "languages": [ @@ -15007,7 +15385,7 @@ "project_name": "AISisterAIChan", "stargazers_count": 23, "source": "GitHub", - "score": -0.271342772518826, + "score": -0.26991262961741846, "first_commit": "2023-03-30 18:40:44", "latest_commit": "2023-05-18 22:14:24", "languages": [], @@ -15019,7 +15397,7 @@ "project_name": "cl-skkserv", "stargazers_count": 23, "source": "GitHub", - "score": -0.271342772518826, + "score": -0.26991262961741846, "first_commit": "2017-12-23 10:20:54", "latest_commit": "2024-02-11 10:42:23", "languages": [], @@ -15031,7 +15409,7 @@ "project_name": "asdc", "stargazers_count": 23, "source": "GitHub", - "score": -0.271342772518826, + "score": -0.26991262961741846, "first_commit": "2022-06-16 09:43:01", "latest_commit": "2023-08-09 12:03:48", "languages": [ @@ -15045,7 +15423,7 @@ "project_name": "rakutenma-python", "stargazers_count": 22, "source": "GitHub", - "score": -0.2742658130165483, + "score": -0.27284417163001623, "first_commit": "2015-01-02 06:52:27", "latest_commit": "2017-05-22 16:45:10", "languages": [ @@ -15059,7 +15437,7 @@ "project_name": "bertknp", "stargazers_count": 22, "source": "GitHub", - "score": -0.2742658130165483, + "score": -0.27284417163001623, "first_commit": "2021-02-10 09:20:17", "latest_commit": "2021-10-02 14:45:12", "languages": [ @@ -15073,7 +15451,7 @@ "project_name": "ILYS-aoba-chatbot", "stargazers_count": 22, "source": "GitHub", - "score": -0.2742658130165483, + "score": -0.27284417163001623, "first_commit": "2020-10-26 13:13:33", "latest_commit": "2021-10-01 22:55:52", "languages": [ @@ -15089,7 +15467,7 @@ "project_name": "RoBERTa-japanese", "stargazers_count": 22, "source": "GitHub", - "score": -0.2742658130165483, + "score": -0.27284417163001623, "first_commit": "2020-11-28 17:36:50", "latest_commit": "2021-11-13 10:37:23", "languages": [ @@ -15103,7 +15481,7 @@ "project_name": "jisyo", "stargazers_count": 22, "source": "GitHub", - "score": -0.2742658130165483, + "score": -0.27284417163001623, "first_commit": null, "latest_commit": null, "languages": [], @@ -15115,7 +15493,7 @@ "project_name": "instruction_ja", "stargazers_count": 22, "source": "GitHub", - "score": -0.2742658130165483, + "score": -0.27284417163001623, "first_commit": "2023-06-22 15:52:12", "latest_commit": "2023-07-13 16:02:15", "languages": [ @@ -15129,7 +15507,7 @@ "project_name": "sengiri", "stargazers_count": 21, "source": "GitHub", - "score": -0.2771888535142706, + "score": -0.27577571364261405, "first_commit": "2019-10-05 03:46:43", "latest_commit": "2022-08-10 20:45:00", "languages": [ @@ -15143,7 +15521,7 @@ "project_name": "rake-ja", "stargazers_count": 21, "source": "GitHub", - "score": -0.2771888535142706, + "score": -0.27577571364261405, "first_commit": "2018-10-11 19:07:50", "latest_commit": "2018-10-11 19:27:37", "languages": [ @@ -15157,7 +15535,7 @@ "project_name": "rime-jaroomaji", "stargazers_count": 21, "source": "GitHub", - "score": -0.2771888535142706, + "score": -0.27577571364261405, "first_commit": "2023-03-21 21:07:42", "latest_commit": "2024-08-15 11:40:00", "languages": [ @@ -15171,7 +15549,7 @@ "project_name": "TwitterCorpus", "stargazers_count": 21, "source": "GitHub", - "score": -0.2771888535142706, + "score": -0.27577571364261405, "first_commit": "2016-03-05 19:20:15", "latest_commit": "2016-03-14 19:55:35", "languages": [ @@ -15185,7 +15563,7 @@ "project_name": "do-not-answer-ja", "stargazers_count": 21, "source": "GitHub", - "score": -0.2771888535142706, + "score": -0.27577571364261405, "first_commit": "2023-09-09 08:21:26", "latest_commit": "2023-12-16 02:34:12", "languages": [ @@ -15200,7 +15578,7 @@ "project_name": "kantan-regex-book", "stargazers_count": 21, "source": "GitHub", - "score": -0.2771888535142706, + "score": -0.27577571364261405, "first_commit": "2024-01-28 10:37:12", "latest_commit": "2024-03-23 21:55:27", "languages": [ @@ -15215,7 +15593,7 @@ "project_name": "python-vaporetto", "stargazers_count": 20, "source": "GitHub", - "score": -0.2801118940119929, + "score": -0.2787072556552118, "first_commit": "2022-06-09 13:37:22", "latest_commit": "2023-09-05 22:15:48", "languages": [ @@ -15230,7 +15608,7 @@ "project_name": "darts-clone-python", "stargazers_count": 20, "source": "GitHub", - "score": -0.2801118940119929, + "score": -0.2787072556552118, "first_commit": "2018-11-17 00:57:52", "latest_commit": "2022-04-05 21:28:21", "languages": [ @@ -15244,7 +15622,7 @@ "project_name": "text-generation", "stargazers_count": 20, "source": "GitHub", - "score": -0.2801118940119929, + "score": -0.2787072556552118, "first_commit": "2022-07-17 11:55:29", "latest_commit": "2022-07-24 13:48:32", "languages": [ @@ -15259,7 +15637,7 @@ "project_name": "keigo_transfer_task", "stargazers_count": 20, "source": "GitHub", - "score": -0.2801118940119929, + "score": -0.2787072556552118, "first_commit": "2022-06-14 23:06:57", "latest_commit": "2022-11-24 13:01:06", "languages": [], @@ -15271,7 +15649,7 @@ "project_name": "JMMLU", "stargazers_count": 20, "source": "GitHub", - "score": -0.2801118940119929, + "score": -0.2787072556552118, "first_commit": "2024-01-09 16:43:45", "latest_commit": "2024-02-27 14:19:14", "languages": [], @@ -15283,7 +15661,7 @@ "project_name": "jntajis-python", "stargazers_count": 19, "source": "GitHub", - "score": -0.2830349345097152, + "score": -0.2816387976678096, "first_commit": "2021-08-20 17:32:20", "latest_commit": "2023-06-16 22:43:41", "languages": [ @@ -15298,7 +15676,7 @@ "project_name": "pygeonlp", "stargazers_count": 19, "source": "GitHub", - "score": -0.2830349345097152, + "score": -0.2816387976678096, "first_commit": "2021-06-26 17:45:22", "latest_commit": "2024-07-24 01:39:27", "languages": [ @@ -15313,7 +15691,7 @@ "project_name": "unicode-jp-rs", "stargazers_count": 19, "source": "GitHub", - "score": -0.2830349345097152, + "score": -0.2816387976678096, "first_commit": "2016-05-21 16:39:49", "latest_commit": "2020-04-11 12:01:21", "languages": [ @@ -15327,7 +15705,7 @@ "project_name": "kyujitai.js", "stargazers_count": 19, "source": "GitHub", - "score": -0.2830349345097152, + "score": -0.2816387976678096, "first_commit": "2014-09-06 17:03:02", "latest_commit": "2020-08-30 23:28:58", "languages": [ @@ -15341,7 +15719,7 @@ "project_name": "go-moji", "stargazers_count": 19, "source": "GitHub", - "score": -0.2830349345097152, + "score": -0.2816387976678096, "first_commit": "2018-01-15 23:57:06", "latest_commit": "2019-04-17 10:29:44", "languages": [ @@ -15355,7 +15733,7 @@ "project_name": "huriganacorpus-ndlbib", "stargazers_count": 19, "source": "GitHub", - "score": -0.2830349345097152, + "score": -0.2816387976678096, "first_commit": "2021-09-01 13:36:53", "latest_commit": "2021-09-21 14:20:03", "languages": [], @@ -15367,7 +15745,7 @@ "project_name": "japanese-toxic-dataset", "stargazers_count": 19, "source": "GitHub", - "score": -0.2830349345097152, + "score": -0.2816387976678096, "first_commit": "2023-01-10 17:19:58", "latest_commit": "2023-01-11 13:55:08", "languages": [], @@ -15379,7 +15757,7 @@ "project_name": "camera", "stargazers_count": 19, "source": "GitHub", - "score": -0.2830349345097152, + "score": -0.2816387976678096, "first_commit": "2023-02-22 10:33:39", "latest_commit": "2024-08-13 09:20:33", "languages": [], @@ -15391,7 +15769,7 @@ "project_name": "Japanese-Fakenews-Dataset", "stargazers_count": 19, "source": "GitHub", - "score": -0.2830349345097152, + "score": -0.2816387976678096, "first_commit": "2021-05-02 15:40:10", "latest_commit": "2021-05-02 15:40:10", "languages": [], @@ -15403,7 +15781,7 @@ "project_name": "aozorasearch", "stargazers_count": 19, "source": "GitHub", - "score": -0.2830349345097152, + "score": -0.2816387976678096, "first_commit": "2016-10-15 17:22:45", "latest_commit": "2020-09-04 14:28:15", "languages": [ @@ -15418,7 +15796,7 @@ "project_name": "jqara", "stargazers_count": 19, "source": "GitHub", - "score": -0.2830349345097152, + "score": -0.2816387976678096, "first_commit": "2024-03-02 09:09:08", "latest_commit": "2024-08-10 11:54:50", "languages": [ @@ -15432,7 +15810,7 @@ "project_name": "jacwir", "stargazers_count": 19, "source": "GitHub", - "score": -0.2830349345097152, + "score": -0.2816387976678096, "first_commit": "2024-03-19 15:31:13", "latest_commit": "2024-07-24 11:09:03", "languages": [ @@ -15446,7 +15824,7 @@ "project_name": "japanese-numbers-python", "stargazers_count": 18, "source": "GitHub", - "score": -0.2859579750074374, + "score": -0.2845703396804074, "first_commit": "2016-07-29 09:20:05", "latest_commit": "2020-04-04 10:36:27", "languages": [ @@ -15460,7 +15838,7 @@ "project_name": "Grongish", "stargazers_count": 18, "source": "GitHub", - "score": -0.2859579750074374, + "score": -0.2845703396804074, "first_commit": "2012-02-10 22:28:59", "latest_commit": "2022-04-21 21:31:37", "languages": [ @@ -15475,7 +15853,7 @@ "project_name": "termextract", "stargazers_count": 18, "source": "GitHub", - "score": -0.2859579750074374, + "score": -0.2845703396804074, "first_commit": "2018-09-26 22:20:04", "latest_commit": "2018-09-26 23:01:36", "languages": [ @@ -15489,7 +15867,7 @@ "project_name": "minimal-search-engine", "stargazers_count": 18, "source": "GitHub", - "score": -0.2859579750074374, + "score": -0.2845703396804074, "first_commit": "2019-06-25 01:58:26", "latest_commit": "2019-07-06 01:26:57", "languages": [ @@ -15503,7 +15881,7 @@ "project_name": "mozcdic-ut-jawiki", "stargazers_count": 18, "source": "GitHub", - "score": -0.2859579750074374, + "score": -0.2845703396804074, "first_commit": "2023-01-15 17:43:20", "latest_commit": "2024-07-29 01:27:13", "languages": [ @@ -15517,7 +15895,7 @@ "project_name": "analyze-desumasu-dearu", "stargazers_count": 18, "source": "GitHub", - "score": -0.2859579750074374, + "score": -0.2845703396804074, "first_commit": "2015-10-10 01:42:33", "latest_commit": "2021-12-10 12:01:50", "languages": [ @@ -15531,7 +15909,7 @@ "project_name": "JaNLI", "stargazers_count": 18, "source": "GitHub", - "score": -0.2859579750074374, + "score": -0.2845703396804074, "first_commit": "2021-11-02 20:26:27", "latest_commit": "2023-05-31 17:50:04", "languages": [ @@ -15545,7 +15923,7 @@ "project_name": "technological-book-corpus-ja", "stargazers_count": 18, "source": "GitHub", - "score": -0.2859579750074374, + "score": -0.2845703396804074, "first_commit": "2017-03-26 13:28:13", "latest_commit": "2023-07-12 03:26:27", "languages": [ @@ -15559,7 +15937,7 @@ "project_name": "rinna_gpt-neox_ggml-lora", "stargazers_count": 17, "source": "GitHub", - "score": -0.2888810155051597, + "score": -0.28750188169300517, "first_commit": "2023-05-24 03:21:40", "latest_commit": "2023-05-25 05:38:04", "languages": [ @@ -15573,7 +15951,7 @@ "project_name": "chainer_nic", "stargazers_count": 17, "source": "GitHub", - "score": -0.2888810155051597, + "score": -0.28750188169300517, "first_commit": "2018-07-02 19:57:17", "latest_commit": "2018-12-14 17:26:49", "languages": [ @@ -15587,7 +15965,7 @@ "project_name": "yomigana-ebook", "stargazers_count": 17, "source": "GitHub", - "score": -0.2888810155051597, + "score": -0.28750188169300517, "first_commit": "2023-04-25 18:21:37", "latest_commit": "2024-02-21 01:18:17", "languages": [ @@ -15602,7 +15980,7 @@ "project_name": "jmteb", "stargazers_count": 17, "source": "GitHub", - "score": -0.2888810155051597, + "score": -0.28750188169300517, "first_commit": "2024-03-15 10:28:52", "latest_commit": "2024-06-20 20:58:44", "languages": [ @@ -15616,7 +15994,7 @@ "project_name": "AnnotatedFKCCorpus", "stargazers_count": 17, "source": "GitHub", - "score": -0.2888810155051597, + "score": -0.28750188169300517, "first_commit": "2021-01-18 19:32:38", "latest_commit": "2023-12-18 14:27:29", "languages": [ @@ -15630,7 +16008,7 @@ "project_name": "ebe-dataset", "stargazers_count": 17, "source": "GitHub", - "score": -0.2888810155051597, + "score": -0.28750188169300517, "first_commit": "2020-10-14 08:15:37", "latest_commit": "2020-12-17 13:39:55", "languages": [], @@ -15642,7 +16020,7 @@ "project_name": "loanwords_gairaigo", "stargazers_count": 17, "source": "GitHub", - "score": -0.2888810155051597, + "score": -0.28750188169300517, "first_commit": "2019-10-21 16:49:45", "latest_commit": "2021-01-08 12:40:02", "languages": [ @@ -15656,7 +16034,7 @@ "project_name": "hurigana-speech-corpus-aozora", "stargazers_count": 17, "source": "GitHub", - "score": -0.2888810155051597, + "score": -0.28750188169300517, "first_commit": "2024-01-16 11:30:12", "latest_commit": "2024-01-31 16:04:24", "languages": [], @@ -15668,7 +16046,7 @@ "project_name": "JASS", "stargazers_count": 16, "source": "GitHub", - "score": -0.291804056002882, + "score": -0.290433423705603, "first_commit": "2020-02-19 11:19:42", "latest_commit": "2022-01-25 15:24:53", "languages": [], @@ -15680,7 +16058,7 @@ "project_name": "ginza-transformers", "stargazers_count": 16, "source": "GitHub", - "score": -0.291804056002882, + "score": -0.290433423705603, "first_commit": "2021-06-23 17:42:12", "latest_commit": "2022-08-09 18:19:33", "languages": [ @@ -15694,7 +16072,7 @@ "project_name": "MedNER-J", "stargazers_count": 16, "source": "GitHub", - "score": -0.291804056002882, + "score": -0.290433423705603, "first_commit": "2020-07-28 18:27:41", "latest_commit": "2022-05-17 20:01:05", "languages": [ @@ -15708,7 +16086,7 @@ "project_name": "AIO2_DPR_baseline", "stargazers_count": 16, "source": "GitHub", - "score": -0.291804056002882, + "score": -0.290433423705603, "first_commit": "2021-09-13 16:33:09", "latest_commit": "2022-01-08 23:15:11", "languages": [ @@ -15722,7 +16100,7 @@ "project_name": "unsupervised-pos-tagging", "stargazers_count": 16, "source": "GitHub", - "score": -0.291804056002882, + "score": -0.290433423705603, "first_commit": "2017-01-07 09:24:36", "latest_commit": "2017-10-11 23:23:04", "languages": [ @@ -15737,7 +16115,7 @@ "project_name": "furigana4epub", "stargazers_count": 16, "source": "GitHub", - "score": -0.291804056002882, + "score": -0.290433423705603, "first_commit": "2021-08-29 20:14:15", "latest_commit": "2021-09-11 14:03:11", "languages": [ @@ -15751,7 +16129,7 @@ "project_name": "Laboro-DistilBERT-Japanese", "stargazers_count": 16, "source": "GitHub", - "score": -0.291804056002882, + "score": -0.290433423705603, "first_commit": "2020-11-30 16:10:16", "latest_commit": "2020-12-17 15:26:01", "languages": [ @@ -15766,7 +16144,7 @@ "project_name": "character_chat", "stargazers_count": 16, "source": "GitHub", - "score": -0.291804056002882, + "score": -0.290433423705603, "first_commit": "2023-03-19 03:36:06", "latest_commit": "2023-06-03 23:30:23", "languages": [ @@ -15780,7 +16158,7 @@ "project_name": "TEDxJP-10K", "stargazers_count": 16, "source": "GitHub", - "score": -0.291804056002882, + "score": -0.290433423705603, "first_commit": "2021-01-14 13:14:28", "latest_commit": "2021-01-14 15:33:14", "languages": [ @@ -15794,7 +16172,7 @@ "project_name": "japanese-family-names", "stargazers_count": 16, "source": "GitHub", - "score": -0.291804056002882, + "score": -0.290433423705603, "first_commit": "2017-06-08 18:00:02", "latest_commit": "2017-06-09 01:50:19", "languages": [ @@ -15808,7 +16186,7 @@ "project_name": "SuPar-UniDic", "stargazers_count": 15, "source": "GitHub", - "score": -0.2947270965006043, + "score": -0.29336496571820075, "first_commit": "2021-02-21 09:42:27", "latest_commit": "2024-06-28 15:56:24", "languages": [ @@ -15823,7 +16201,7 @@ "project_name": "furiganapad", "stargazers_count": 15, "source": "GitHub", - "score": -0.2947270965006043, + "score": -0.29336496571820075, "first_commit": "2019-05-14 02:56:41", "latest_commit": "2024-05-23 04:55:05", "languages": [ @@ -15837,7 +16215,7 @@ "project_name": "japanese_llm_simple_webui", "stargazers_count": 15, "source": "GitHub", - "score": -0.2947270965006043, + "score": -0.29336496571820075, "first_commit": "2023-06-04 23:06:13", "latest_commit": "2024-05-12 22:10:56", "languages": [ @@ -15851,7 +16229,7 @@ "project_name": "gpt4-autoeval", "stargazers_count": 15, "source": "GitHub", - "score": -0.2947270965006043, + "score": -0.29336496571820075, "first_commit": "2023-12-18 13:38:36", "latest_commit": "2024-06-06 13:50:35", "languages": [ @@ -15867,7 +16245,7 @@ "project_name": "llm-translator", "stargazers_count": 15, "source": "GitHub", - "score": -0.2947270965006043, + "score": -0.29336496571820075, "first_commit": "2023-12-31 00:47:57", "latest_commit": "2023-12-31 00:53:57", "languages": [ @@ -15881,7 +16259,7 @@ "project_name": "kana2ipa", "stargazers_count": 15, "source": "GitHub", - "score": -0.2947270965006043, + "score": -0.29336496571820075, "first_commit": "2019-12-23 00:07:17", "latest_commit": "2020-10-25 04:42:14", "languages": [ @@ -15895,7 +16273,7 @@ "project_name": "hololive-dictionary", "stargazers_count": 15, "source": "GitHub", - "score": -0.2947270965006043, + "score": -0.29336496571820075, "first_commit": "2021-06-13 09:49:48", "latest_commit": "2024-05-02 16:25:29", "languages": [ @@ -15909,7 +16287,7 @@ "project_name": "pixiv-yomitan", "stargazers_count": 15, "source": "GitHub", - "score": -0.2947270965006043, + "score": -0.29336496571820075, "first_commit": "2024-02-09 19:59:45", "latest_commit": "2024-07-23 22:00:16", "languages": [ @@ -15923,7 +16301,7 @@ "project_name": "Laboro-ParaCorpus", "stargazers_count": 15, "source": "GitHub", - "score": -0.2947270965006043, + "score": -0.29336496571820075, "first_commit": "2021-09-29 18:37:50", "latest_commit": "2021-11-09 10:18:54", "languages": [ @@ -15938,7 +16316,7 @@ "project_name": "ginza-examples", "stargazers_count": 15, "source": "GitHub", - "score": -0.2947270965006043, + "score": -0.29336496571820075, "first_commit": "2020-08-25 02:24:01", "latest_commit": "2021-01-29 00:04:15", "languages": [ @@ -15952,7 +16330,7 @@ "project_name": "japanese-sentence-breaker", "stargazers_count": 14, "source": "GitHub", - "score": -0.2976501369983266, + "score": -0.2962965077307985, "first_commit": "2021-02-28 21:40:27", "latest_commit": "2021-02-28 22:47:20", "languages": [ @@ -15966,7 +16344,7 @@ "project_name": "jsc", "stargazers_count": 14, "source": "GitHub", - "score": -0.2976501369983266, + "score": -0.2962965077307985, "first_commit": "2012-08-23 16:39:41", "latest_commit": "2012-12-19 18:36:09", "languages": [ @@ -15980,7 +16358,7 @@ "project_name": "aMLP-japanese", "stargazers_count": 14, "source": "GitHub", - "score": -0.2976501369983266, + "score": -0.2962965077307985, "first_commit": "2021-11-13 16:17:10", "latest_commit": "2022-05-10 14:16:55", "languages": [ @@ -15994,7 +16372,7 @@ "project_name": "openai-chatfriend", "stargazers_count": 14, "source": "GitHub", - "score": -0.2976501369983266, + "score": -0.2962965077307985, "first_commit": "2023-01-17 15:19:27", "latest_commit": "2023-04-03 10:19:35", "languages": [ @@ -16009,7 +16387,7 @@ "project_name": "mozcdic-ut-place-names", "stargazers_count": 14, "source": "GitHub", - "score": -0.2976501369983266, + "score": -0.2962965077307985, "first_commit": "2023-01-15 18:01:48", "latest_commit": "2024-08-07 03:05:50", "languages": [ @@ -16023,7 +16401,7 @@ "project_name": "oasst1-89k-ja", "stargazers_count": 14, "source": "GitHub", - "score": -0.2976501369983266, + "score": -0.2962965077307985, "first_commit": "2023-05-07 05:27:23", "latest_commit": "2023-11-20 00:23:10", "languages": [ @@ -16037,7 +16415,7 @@ "project_name": "dango", "stargazers_count": 13, "source": "GitHub", - "score": -0.3005731774960489, + "score": -0.29922804974339634, "first_commit": "2021-06-20 13:18:31", "latest_commit": "2021-11-21 19:41:04", "languages": [ @@ -16051,7 +16429,7 @@ "project_name": "PheMT", "stargazers_count": 13, "source": "GitHub", - "score": -0.3005731774960489, + "score": -0.29922804974339634, "first_commit": "2020-10-27 17:05:01", "latest_commit": "2021-02-18 14:05:26", "languages": [ @@ -16065,7 +16443,7 @@ "project_name": "entitypedia", "stargazers_count": 13, "source": "GitHub", - "score": -0.3005731774960489, + "score": -0.29922804974339634, "first_commit": "2017-11-08 13:54:21", "latest_commit": "2018-12-10 12:53:58", "languages": [ @@ -16081,7 +16459,7 @@ "project_name": "gector-ja", "stargazers_count": 13, "source": "GitHub", - "score": -0.3005731774960489, + "score": -0.29922804974339634, "first_commit": "2021-05-11 04:51:42", "latest_commit": "2021-07-16 18:55:03", "languages": [ @@ -16095,7 +16473,7 @@ "project_name": "negima", "stargazers_count": 13, "source": "GitHub", - "score": -0.3005731774960489, + "score": -0.29922804974339634, "first_commit": "2018-06-27 01:49:31", "latest_commit": "2018-08-20 12:31:43", "languages": [ @@ -16109,7 +16487,7 @@ "project_name": "clip-japanese", "stargazers_count": 13, "source": "GitHub", - "score": -0.3005731774960489, + "score": -0.29922804974339634, "first_commit": "2022-02-24 20:42:33", "latest_commit": "2023-03-12 18:43:17", "languages": [ @@ -16123,7 +16501,7 @@ "project_name": "fcitx5-hazkey", "stargazers_count": 13, "source": "GitHub", - "score": -0.3005731774960489, + "score": -0.29922804974339634, "first_commit": "2024-05-21 22:15:24", "latest_commit": "2024-08-01 12:39:04", "languages": [ @@ -16138,7 +16516,7 @@ "project_name": "ndlngramdata", "stargazers_count": 13, "source": "GitHub", - "score": -0.3005731774960489, + "score": -0.29922804974339634, "first_commit": "2022-12-06 10:20:12", "latest_commit": "2023-01-10 10:38:37", "languages": [], @@ -16150,7 +16528,7 @@ "project_name": "alphabet2kana", "stargazers_count": 12, "source": "GitHub", - "score": -0.3034962179937712, + "score": -0.3021595917559941, "first_commit": "2021-03-21 12:29:41", "latest_commit": "2024-08-10 11:10:20", "languages": [ @@ -16164,7 +16542,7 @@ "project_name": "allennlp-shiba-model", "stargazers_count": 12, "source": "GitHub", - "score": -0.3034962179937712, + "score": -0.3021595917559941, "first_commit": "2021-06-26 18:37:25", "latest_commit": "2021-06-27 00:42:45", "languages": [ @@ -16178,7 +16556,7 @@ "project_name": "NTM", "stargazers_count": 12, "source": "GitHub", - "score": -0.3034962179937712, + "score": -0.3021595917559941, "first_commit": "2019-07-24 20:14:25", "latest_commit": "2019-07-24 22:26:58", "languages": [ @@ -16192,7 +16570,7 @@ "project_name": "ClipCap-for-Japanese", "stargazers_count": 12, "source": "GitHub", - "score": -0.3034962179937712, + "score": -0.3021595917559941, "first_commit": "2022-10-05 00:44:54", "latest_commit": "2022-10-05 02:08:58", "languages": [ @@ -16206,7 +16584,7 @@ "project_name": "easynovelassistant", "stargazers_count": 12, "source": "GitHub", - "score": -0.3034962179937712, + "score": -0.3021595917559941, "first_commit": "2024-04-22 15:59:35", "latest_commit": "2024-07-05 17:29:36", "languages": [ @@ -16220,7 +16598,7 @@ "project_name": "deep-question-generation", "stargazers_count": 12, "source": "GitHub", - "score": -0.3034962179937712, + "score": -0.3021595917559941, "first_commit": "2021-03-07 17:01:23", "latest_commit": "2023-03-12 18:47:52", "languages": [ @@ -16234,7 +16612,7 @@ "project_name": "kanaria", "stargazers_count": 12, "source": "GitHub", - "score": -0.3034962179937712, + "score": -0.3021595917559941, "first_commit": "2019-01-07 22:16:32", "latest_commit": "2024-06-28 09:48:18", "languages": [ @@ -16250,7 +16628,7 @@ "project_name": "medbertjp", "stargazers_count": 12, "source": "GitHub", - "score": -0.3034962179937712, + "score": -0.3021595917559941, "first_commit": "2020-10-23 03:07:15", "latest_commit": "2020-11-22 08:37:27", "languages": [ @@ -16265,7 +16643,7 @@ "project_name": "albert-japanese-tinysegmenter", "stargazers_count": 12, "source": "GitHub", - "score": -0.3034962179937712, + "score": -0.3021595917559941, "first_commit": "2023-06-04 15:21:32", "latest_commit": "2023-09-26 23:07:55", "languages": [ @@ -16279,7 +16657,7 @@ "project_name": "easylightchatassistant", "stargazers_count": 12, "source": "GitHub", - "score": -0.3034962179937712, + "score": -0.3021595917559941, "first_commit": "2024-04-06 17:40:16", "latest_commit": "2024-04-24 00:49:12", "languages": [], @@ -16291,7 +16669,7 @@ "project_name": "Ayashiy-Nipongo-Dic", "stargazers_count": 12, "source": "GitHub", - "score": -0.3034962179937712, + "score": -0.3021595917559941, "first_commit": "2021-12-14 11:50:25", "latest_commit": "2024-05-01 15:23:24", "languages": [], @@ -16303,7 +16681,7 @@ "project_name": "Web-Crawled-Corpus-for-Japanese-Chinese-NMT", "stargazers_count": 12, "source": "GitHub", - "score": -0.3034962179937712, + "score": -0.3021595917559941, "first_commit": "2021-11-12 23:19:26", "latest_commit": "2023-10-01 03:13:18", "languages": [], @@ -16315,7 +16693,7 @@ "project_name": "CourseraParallelCorpusMining", "stargazers_count": 12, "source": "GitHub", - "score": -0.3034962179937712, + "score": -0.3021595917559941, "first_commit": "2020-01-09 18:09:50", "latest_commit": "2022-06-14 14:18:29", "languages": [ @@ -16330,7 +16708,7 @@ "project_name": "honkoku-data", "stargazers_count": 12, "source": "GitHub", - "score": -0.3034962179937712, + "score": -0.3021595917559941, "first_commit": "2020-02-23 16:47:55", "latest_commit": "2024-06-14 17:43:19", "languages": [], @@ -16342,7 +16720,7 @@ "project_name": "commonsense-moral-ja", "stargazers_count": 12, "source": "GitHub", - "score": -0.3034962179937712, + "score": -0.3021595917559941, "first_commit": "2022-12-29 13:18:05", "latest_commit": "2023-12-18 11:41:00", "languages": [ @@ -16356,7 +16734,7 @@ "project_name": "text-cleaning", "stargazers_count": 11, "source": "GitHub", - "score": -0.3064192584914935, + "score": -0.3050911337685919, "first_commit": "2020-02-10 15:31:27", "latest_commit": "2022-11-21 10:21:56", "languages": [ @@ -16370,7 +16748,7 @@ "project_name": "VISA", "stargazers_count": 11, "source": "GitHub", - "score": -0.3064192584914935, + "score": -0.3050911337685919, "first_commit": "2022-03-25 17:15:42", "latest_commit": "2022-10-17 10:34:12", "languages": [], @@ -16382,7 +16760,7 @@ "project_name": "bert-japanese-ner-finetuning", "stargazers_count": 11, "source": "GitHub", - "score": -0.3064192584914935, + "score": -0.3050911337685919, "first_commit": "2021-11-14 22:57:16", "latest_commit": "2022-06-19 16:24:15", "languages": [ @@ -16397,7 +16775,7 @@ "project_name": "evaluate_japanese_w2v", "stargazers_count": 11, "source": "GitHub", - "score": -0.3064192584914935, + "score": -0.3050911337685919, "first_commit": "2020-02-07 08:02:49", "latest_commit": "2023-11-03 21:09:04", "languages": [ @@ -16411,7 +16789,7 @@ "project_name": "prefix-tuning-gpt", "stargazers_count": 11, "source": "GitHub", - "score": -0.3064192584914935, + "score": -0.3050911337685919, "first_commit": "2022-09-05 16:56:23", "latest_commit": "2023-03-22 14:13:22", "languages": [ @@ -16425,7 +16803,7 @@ "project_name": "asa-python", "stargazers_count": 11, "source": "GitHub", - "score": -0.3064192584914935, + "score": -0.3050911337685919, "first_commit": "2017-09-13 22:02:47", "latest_commit": "2019-02-16 23:52:13", "languages": [ @@ -16439,7 +16817,7 @@ "project_name": "jel", "stargazers_count": 11, "source": "GitHub", - "score": -0.3064192584914935, + "score": -0.3050911337685919, "first_commit": "2021-05-01 15:53:49", "latest_commit": "2021-07-25 13:01:46", "languages": [ @@ -16453,7 +16831,7 @@ "project_name": "python-npycrf", "stargazers_count": 11, "source": "GitHub", - "score": -0.3064192584914935, + "score": -0.3050911337685919, "first_commit": "2017-07-01 18:00:52", "latest_commit": "2018-03-23 00:04:16", "languages": [ @@ -16468,7 +16846,7 @@ "project_name": "aozora_classification", "stargazers_count": 11, "source": "GitHub", - "score": -0.3064192584914935, + "score": -0.3050911337685919, "first_commit": "2017-03-05 12:30:50", "latest_commit": "2017-09-03 12:01:40", "languages": [ @@ -16483,7 +16861,7 @@ "project_name": "ja-law-parser", "stargazers_count": 11, "source": "GitHub", - "score": -0.3064192584914935, + "score": -0.3050911337685919, "first_commit": "2023-11-26 19:38:36", "latest_commit": "2024-01-14 19:59:45", "languages": [ @@ -16497,7 +16875,7 @@ "project_name": "jawiki_word_vector_updater", "stargazers_count": 11, "source": "GitHub", - "score": -0.3064192584914935, + "score": -0.3050911337685919, "first_commit": "2019-02-13 16:18:58", "latest_commit": "2020-05-07 02:25:19", "languages": [], @@ -16509,7 +16887,7 @@ "project_name": "sbert-ja", "stargazers_count": 11, "source": "GitHub", - "score": -0.3064192584914935, + "score": -0.3050911337685919, "first_commit": "2021-07-31 01:11:17", "latest_commit": "2021-08-08 15:47:30", "languages": [ @@ -16523,7 +16901,7 @@ "project_name": "kyoto-reader", "stargazers_count": 10, "source": "GitHub", - "score": -0.3093422989892158, + "score": -0.3080226757811897, "first_commit": "2019-11-15 20:46:54", "latest_commit": "2024-06-26 12:45:20", "languages": [ @@ -16537,7 +16915,7 @@ "project_name": "zunda-python", "stargazers_count": 10, "source": "GitHub", - "score": -0.3093422989892158, + "score": -0.3080226757811897, "first_commit": "2019-02-24 01:08:40", "latest_commit": "2019-11-30 18:44:15", "languages": [ @@ -16551,7 +16929,7 @@ "project_name": "wikipedia-passages-jawiki-embeddings-utils", "stargazers_count": 10, "source": "GitHub", - "score": -0.3093422989892158, + "score": -0.3080226757811897, "first_commit": "2023-11-14 11:34:23", "latest_commit": "2024-03-29 08:18:44", "languages": [ @@ -16566,7 +16944,7 @@ "project_name": "jisho", "stargazers_count": 10, "source": "GitHub", - "score": -0.3093422989892158, + "score": -0.3080226757811897, "first_commit": null, "latest_commit": null, "languages": [], @@ -16578,7 +16956,7 @@ "project_name": "j-liwc2015", "stargazers_count": 10, "source": "GitHub", - "score": -0.3093422989892158, + "score": -0.3080226757811897, "first_commit": "2021-09-04 09:11:35", "latest_commit": "2022-11-15 15:37:27", "languages": [], @@ -16590,7 +16968,7 @@ "project_name": "huriganacorpus-aozora", "stargazers_count": 10, "source": "GitHub", - "score": -0.3093422989892158, + "score": -0.3080226757811897, "first_commit": "2021-08-31 16:37:20", "latest_commit": "2024-01-17 18:05:54", "languages": [], @@ -16602,7 +16980,7 @@ "project_name": "python-nlp-book", "stargazers_count": 10, "source": "GitHub", - "score": -0.3093422989892158, + "score": -0.3080226757811897, "first_commit": "2023-01-28 18:34:33", "latest_commit": "2023-05-07 23:55:27", "languages": [ @@ -16616,7 +16994,7 @@ "project_name": "Jusho", "stargazers_count": 9, "source": "GitHub", - "score": -0.3122653394869381, + "score": -0.31095421779378746, "first_commit": "2020-11-12 03:39:08", "latest_commit": "2024-06-04 16:03:08", "languages": [ @@ -16630,7 +17008,7 @@ "project_name": "ja-senter-benchmark", "stargazers_count": 9, "source": "GitHub", - "score": -0.3122653394869381, + "score": -0.31095421779378746, "first_commit": "2023-02-10 12:58:42", "latest_commit": "2023-02-27 17:58:52", "languages": [ @@ -16644,7 +17022,7 @@ "project_name": "japanese_text_classification", "stargazers_count": 9, "source": "GitHub", - "score": -0.3122653394869381, + "score": -0.31095421779378746, "first_commit": "2019-07-01 18:33:17", "latest_commit": "2020-01-15 19:12:53", "languages": [ @@ -16659,7 +17037,7 @@ "project_name": "pyknp-eventgraph", "stargazers_count": 9, "source": "GitHub", - "score": -0.3122653394869381, + "score": -0.31095421779378746, "first_commit": "2019-11-21 21:46:46", "latest_commit": "2022-09-26 12:21:44", "languages": [ @@ -16673,7 +17051,7 @@ "project_name": "japanese_summarizer", "stargazers_count": 9, "source": "GitHub", - "score": -0.3122653394869381, + "score": -0.31095421779378746, "first_commit": "2020-08-18 20:44:35", "latest_commit": "2022-08-01 20:28:21", "languages": [ @@ -16687,7 +17065,7 @@ "project_name": "WordCloud-Japanese", "stargazers_count": 9, "source": "GitHub", - "score": -0.3122653394869381, + "score": -0.31095421779378746, "first_commit": "2019-05-11 13:59:53", "latest_commit": "2020-01-02 06:45:49", "languages": [ @@ -16701,7 +17079,7 @@ "project_name": "snark", "stargazers_count": 9, "source": "GitHub", - "score": -0.3122653394869381, + "score": -0.31095421779378746, "first_commit": "2018-12-22 18:37:03", "latest_commit": "2020-03-11 22:01:51", "languages": [ @@ -16715,7 +17093,7 @@ "project_name": "PyKatsuyou", "stargazers_count": 9, "source": "GitHub", - "score": -0.3122653394869381, + "score": -0.31095421779378746, "first_commit": "2022-01-01 01:25:25", "latest_commit": "2023-09-04 17:26:36", "languages": [ @@ -16729,7 +17107,7 @@ "project_name": "JaSPICE", "stargazers_count": 9, "source": "GitHub", - "score": -0.3122653394869381, + "score": -0.31095421779378746, "first_commit": "2023-03-01 19:14:54", "latest_commit": "2023-11-08 21:16:53", "languages": [ @@ -16743,7 +17121,7 @@ "project_name": "bertjsc", "stargazers_count": 9, "source": "GitHub", - "score": -0.3122653394869381, + "score": -0.31095421779378746, "first_commit": "2023-03-16 11:05:59", "latest_commit": "2024-08-03 12:15:17", "languages": [ @@ -16758,7 +17136,7 @@ "project_name": "awabi", "stargazers_count": 9, "source": "GitHub", - "score": -0.3122653394869381, + "score": -0.31095421779378746, "first_commit": "2020-03-13 08:08:26", "latest_commit": "2024-07-01 16:35:36", "languages": [ @@ -16772,7 +17150,7 @@ "project_name": "dependency-based-japanese-word-embeddings", "stargazers_count": 9, "source": "GitHub", - "score": -0.3122653394869381, + "score": -0.31095421779378746, "first_commit": "2019-07-31 15:42:14", "latest_commit": "2019-08-14 11:39:35", "languages": [], @@ -16784,7 +17162,7 @@ "project_name": "AMI-Meeting-Parallel-Corpus", "stargazers_count": 9, "source": "GitHub", - "score": -0.3122653394869381, + "score": -0.31095421779378746, "first_commit": "2020-12-11 14:22:19", "latest_commit": "2020-12-11 16:41:42", "languages": [], @@ -16796,7 +17174,7 @@ "project_name": "huggingface-datasets_JGLUE", "stargazers_count": 9, "source": "GitHub", - "score": -0.3122653394869381, + "score": -0.31095421779378746, "first_commit": "2023-02-25 13:33:13", "latest_commit": "2024-05-21 11:23:51", "languages": [ @@ -16810,7 +17188,7 @@ "project_name": "meconaudio", "stargazers_count": 9, "source": "GitHub", - "score": -0.3122653394869381, + "score": -0.31095421779378746, "first_commit": "2023-04-12 13:43:26", "latest_commit": "2023-10-26 08:40:27", "languages": [], @@ -16822,7 +17200,7 @@ "project_name": "GEC-Info-ja", "stargazers_count": 9, "source": "GitHub", - "score": -0.3122653394869381, + "score": -0.31095421779378746, "first_commit": "2022-07-02 01:07:27", "latest_commit": "2024-03-27 01:15:21", "languages": [], @@ -16834,7 +17212,7 @@ "project_name": "jagger-python", "stargazers_count": 8, "source": "GitHub", - "score": -0.31518837998466037, + "score": -0.3138857598063853, "first_commit": "2023-12-27 22:09:07", "latest_commit": "2024-03-12 02:15:59", "languages": [ @@ -16848,7 +17226,7 @@ "project_name": "text2phoneme", "stargazers_count": 8, "source": "GitHub", - "score": -0.31518837998466037, + "score": -0.3138857598063853, "first_commit": "2023-04-25 22:53:08", "latest_commit": "2023-05-17 00:44:01", "languages": [ @@ -16862,7 +17240,7 @@ "project_name": "DNorm-J", "stargazers_count": 8, "source": "GitHub", - "score": -0.31518837998466037, + "score": -0.3138857598063853, "first_commit": "2020-05-07 13:47:43", "latest_commit": "2022-06-30 12:09:11", "languages": [ @@ -16876,7 +17254,7 @@ "project_name": "JaMIE", "stargazers_count": 8, "source": "GitHub", - "score": -0.31518837998466037, + "score": -0.3138857598063853, "first_commit": "2019-10-09 11:44:21", "latest_commit": "2023-05-18 05:19:18", "languages": [ @@ -16890,7 +17268,7 @@ "project_name": "BLIP2-Japanese", "stargazers_count": 8, "source": "GitHub", - "score": -0.31518837998466037, + "score": -0.3138857598063853, "first_commit": "2023-05-31 22:24:24", "latest_commit": "2024-01-16 08:54:50", "languages": [ @@ -16905,7 +17283,7 @@ "project_name": "shisa-v2", "stargazers_count": 8, "source": "GitHub", - "score": -0.31518837998466037, + "score": -0.3138857598063853, "first_commit": "2024-03-29 15:12:36", "latest_commit": "2024-07-30 00:26:10", "languages": [ @@ -16919,7 +17297,7 @@ "project_name": "mecab-ipadic-seed", "stargazers_count": 8, "source": "GitHub", - "score": -0.31518837998466037, + "score": -0.3138857598063853, "first_commit": "2016-07-18 01:26:14", "latest_commit": "2016-07-30 19:09:57", "languages": [ @@ -16933,7 +17311,7 @@ "project_name": "AcademicRoBERTa", "stargazers_count": 8, "source": "GitHub", - "score": -0.31518837998466037, + "score": -0.3138857598063853, "first_commit": "2022-09-05 15:58:57", "latest_commit": "2023-05-16 13:48:22", "languages": [ @@ -16947,7 +17325,7 @@ "project_name": "mecab-mozcdic", "stargazers_count": 8, "source": "GitHub", - "score": -0.31518837998466037, + "score": -0.3138857598063853, "first_commit": "2017-07-21 20:37:42", "latest_commit": "2018-01-12 16:07:57", "languages": [], @@ -16959,7 +17337,7 @@ "project_name": "anthy", "stargazers_count": 8, "source": "GitHub", - "score": -0.31518837998466037, + "score": -0.3138857598063853, "first_commit": "2010-05-14 14:19:43", "latest_commit": "2023-02-25 21:37:47", "languages": [ @@ -16974,7 +17352,7 @@ "project_name": "jcms", "stargazers_count": 8, "source": "GitHub", - "score": -0.31518837998466037, + "score": -0.3138857598063853, "first_commit": "2022-11-07 15:44:38", "latest_commit": "2022-11-07 16:40:03", "languages": [ @@ -16988,7 +17366,7 @@ "project_name": "ndl-minhon-ocrdataset", "stargazers_count": 8, "source": "GitHub", - "score": -0.31518837998466037, + "score": -0.3138857598063853, "first_commit": "2023-01-19 15:22:00", "latest_commit": "2024-02-07 14:16:11", "languages": [ @@ -17002,7 +17380,7 @@ "project_name": "WLSP-familiarity", "stargazers_count": 8, "source": "GitHub", - "score": -0.31518837998466037, + "score": -0.3138857598063853, "first_commit": "2019-03-13 10:26:42", "latest_commit": "2024-06-30 15:05:18", "languages": [], @@ -17014,7 +17392,7 @@ "project_name": "jamorasep", "stargazers_count": 7, "source": "GitHub", - "score": -0.31811142048238267, + "score": -0.31681730181898304, "first_commit": "2023-03-08 22:54:34", "latest_commit": "2023-09-09 01:14:14", "languages": [ @@ -17028,7 +17406,7 @@ "project_name": "text_recognition", "stargazers_count": 7, "source": "GitHub", - "score": -0.31811142048238267, + "score": -0.31681730181898304, "first_commit": "2022-03-30 13:32:26", "latest_commit": "2023-07-10 18:03:39", "languages": [ @@ -17042,7 +17420,7 @@ "project_name": "kantan", "stargazers_count": 7, "source": "GitHub", - "score": -0.31811142048238267, + "score": -0.31681730181898304, "first_commit": "2015-07-15 12:45:17", "latest_commit": "2022-07-20 20:10:04", "languages": [ @@ -17056,7 +17434,7 @@ "project_name": "aozora-corpus-generator", "stargazers_count": 7, "source": "GitHub", - "score": -0.31811142048238267, + "score": -0.31681730181898304, "first_commit": "2017-10-09 16:11:26", "latest_commit": "2022-04-04 13:15:59", "languages": [ @@ -17070,7 +17448,7 @@ "project_name": "AugLy-jp", "stargazers_count": 7, "source": "GitHub", - "score": -0.31811142048238267, + "score": -0.31681730181898304, "first_commit": "2021-06-13 18:48:45", "latest_commit": "2021-09-30 13:16:24", "languages": [ @@ -17085,7 +17463,7 @@ "project_name": "julius4seg", "stargazers_count": 7, "source": "GitHub", - "score": -0.31811142048238267, + "score": -0.31681730181898304, "first_commit": "2018-02-20 23:19:39", "latest_commit": "2021-08-22 18:57:51", "languages": [ @@ -17099,7 +17477,7 @@ "project_name": "sentiment_ja_js", "stargazers_count": 7, "source": "GitHub", - "score": -0.31811142048238267, + "score": -0.31681730181898304, "first_commit": "2021-12-08 22:48:44", "latest_commit": "2021-12-10 00:56:29", "languages": [ @@ -17113,7 +17491,7 @@ "project_name": "manbyo-sudachi", "stargazers_count": 7, "source": "GitHub", - "score": -0.31811142048238267, + "score": -0.31681730181898304, "first_commit": "2021-04-05 15:59:36", "latest_commit": "2021-04-06 18:04:00", "languages": [ @@ -17127,7 +17505,7 @@ "project_name": "aws_dic_for_google_ime", "stargazers_count": 7, "source": "GitHub", - "score": -0.31811142048238267, + "score": -0.31681730181898304, "first_commit": "2019-11-24 03:47:55", "latest_commit": "2019-11-30 09:28:33", "languages": [ @@ -17142,7 +17520,7 @@ "project_name": "hirakanadic", "stargazers_count": 7, "source": "GitHub", - "score": -0.31811142048238267, + "score": -0.31681730181898304, "first_commit": "2021-06-22 21:38:13", "latest_commit": "2023-07-08 17:22:15", "languages": [ @@ -17156,7 +17534,7 @@ "project_name": "GazeVQA", "stargazers_count": 7, "source": "GitHub", - "score": -0.31811142048238267, + "score": -0.31681730181898304, "first_commit": "2024-02-22 06:53:00", "latest_commit": "2024-05-20 11:17:25", "languages": [], @@ -17168,7 +17546,7 @@ "project_name": "JapaneseNLI", "stargazers_count": 7, "source": "GitHub", - "score": -0.31811142048238267, + "score": -0.31681730181898304, "first_commit": "2020-03-10 22:43:24", "latest_commit": "2021-06-08 23:48:55", "languages": [ @@ -17182,7 +17560,7 @@ "project_name": "cabocha", "stargazers_count": 6, "source": "GitHub", - "score": -0.32103446098010496, + "score": -0.31974884383158086, "first_commit": "2011-07-29 04:08:14", "latest_commit": "2022-08-17 22:24:13", "languages": [ @@ -17201,7 +17579,7 @@ "project_name": "noyaki", "stargazers_count": 6, "source": "GitHub", - "score": -0.32103446098010496, + "score": -0.31974884383158086, "first_commit": "2021-05-23 18:41:17", "latest_commit": "2022-08-25 18:42:55", "languages": [ @@ -17215,7 +17593,7 @@ "project_name": "bert-ner-japanese", "stargazers_count": 6, "source": "GitHub", - "score": -0.32103446098010496, + "score": -0.31974884383158086, "first_commit": "2022-09-26 18:20:34", "latest_commit": "2022-09-26 21:44:38", "languages": [ @@ -17229,7 +17607,7 @@ "project_name": "jmlm_scoring", "stargazers_count": 6, "source": "GitHub", - "score": -0.32103446098010496, + "score": -0.31974884383158086, "first_commit": "2021-08-13 09:18:33", "latest_commit": "2022-02-20 22:39:25", "languages": [ @@ -17243,7 +17621,7 @@ "project_name": "swallow-evaluation", "stargazers_count": 6, "source": "GitHub", - "score": -0.32103446098010496, + "score": -0.31974884383158086, "first_commit": "2023-10-30 14:34:19", "latest_commit": "2024-07-13 21:29:54", "languages": [ @@ -17259,7 +17637,7 @@ "project_name": "showcase", "stargazers_count": 6, "source": "GitHub", - "score": -0.32103446098010496, + "score": -0.31974884383158086, "first_commit": "2018-06-26 13:19:53", "latest_commit": "2018-06-26 16:53:20", "languages": [ @@ -17273,7 +17651,7 @@ "project_name": "desuwa", "stargazers_count": 6, "source": "GitHub", - "score": -0.32103446098010496, + "score": -0.31974884383158086, "first_commit": "2021-04-20 16:37:43", "latest_commit": "2022-05-23 12:27:37", "languages": [ @@ -17287,7 +17665,7 @@ "project_name": "chirptext", "stargazers_count": 6, "source": "GitHub", - "score": -0.32103446098010496, + "score": -0.31974884383158086, "first_commit": "2014-12-01 20:39:06", "latest_commit": "2022-10-04 21:57:00", "languages": [ @@ -17301,7 +17679,7 @@ "project_name": "mixture-of-unigram-model", "stargazers_count": 6, "source": "GitHub", - "score": -0.32103446098010496, + "score": -0.31974884383158086, "first_commit": "2016-01-05 15:33:24", "latest_commit": "2017-06-16 13:33:57", "languages": [ @@ -17315,7 +17693,7 @@ "project_name": "mlm-scoring-transformers", "stargazers_count": 6, "source": "GitHub", - "score": -0.32103446098010496, + "score": -0.31974884383158086, "first_commit": "2022-10-03 14:27:09", "latest_commit": "2022-12-14 20:07:24", "languages": [ @@ -17329,7 +17707,7 @@ "project_name": "tra-fugu", "stargazers_count": 6, "source": "GitHub", - "score": -0.32103446098010496, + "score": -0.31974884383158086, "first_commit": "2023-02-28 21:41:49", "latest_commit": "2023-03-02 03:10:38", "languages": [ @@ -17343,7 +17721,7 @@ "project_name": "wikipedia-japanese-open-rag", "stargazers_count": 6, "source": "GitHub", - "score": -0.32103446098010496, + "score": -0.31974884383158086, "first_commit": "2023-12-28 07:55:40", "latest_commit": "2024-01-06 19:46:00", "languages": [ @@ -17357,7 +17735,7 @@ "project_name": "pydomino", "stargazers_count": 6, "source": "GitHub", - "score": -0.32103446098010496, + "score": -0.31974884383158086, "first_commit": "2024-05-27 10:52:07", "latest_commit": "2024-07-23 11:16:10", "languages": [ @@ -17373,7 +17751,7 @@ "project_name": "magpie-nemotron", "stargazers_count": 6, "source": "GitHub", - "score": -0.32103446098010496, + "score": -0.31974884383158086, "first_commit": "2024-07-05 21:07:54", "latest_commit": "2024-07-05 23:35:16", "languages": [ @@ -17387,7 +17765,7 @@ "project_name": "kana", "stargazers_count": 6, "source": "GitHub", - "score": -0.32103446098010496, + "score": -0.31974884383158086, "first_commit": "2022-06-28 22:39:35", "latest_commit": "2023-02-10 19:03:27", "languages": [], @@ -17399,7 +17777,7 @@ "project_name": "niinii", "stargazers_count": 6, "source": "GitHub", - "score": -0.32103446098010496, + "score": -0.31974884383158086, "first_commit": "2021-06-27 18:31:51", "latest_commit": "2024-08-11 11:54:57", "languages": [ @@ -17413,7 +17791,7 @@ "project_name": "AITuberDegikkoMirii", "stargazers_count": 6, "source": "GitHub", - "score": -0.32103446098010496, + "score": -0.31974884383158086, "first_commit": "2023-03-07 21:35:01", "latest_commit": "2023-03-18 06:59:43", "languages": [ @@ -17427,7 +17805,7 @@ "project_name": "Winograd-Schema-Challenge-Ja", "stargazers_count": 6, "source": "GitHub", - "score": -0.32103446098010496, + "score": -0.31974884383158086, "first_commit": "2019-01-25 19:14:29", "latest_commit": "2019-01-25 23:52:18", "languages": [ @@ -17441,7 +17819,7 @@ "project_name": "GeneralPolicySpeechOfPrimeMinisterOfJapan", "stargazers_count": 6, "source": "GitHub", - "score": -0.32103446098010496, + "score": -0.31974884383158086, "first_commit": "2014-10-28 00:56:59", "latest_commit": "2020-01-14 09:53:30", "languages": [], @@ -17453,7 +17831,7 @@ "project_name": "dcsg-ja", "stargazers_count": 6, "source": "GitHub", - "score": -0.32103446098010496, + "score": -0.31974884383158086, "first_commit": "2023-01-04 17:36:44", "latest_commit": "2023-03-10 17:29:26", "languages": [], @@ -17465,7 +17843,7 @@ "project_name": "ramendb", "stargazers_count": 6, "source": "GitHub", - "score": -0.32103446098010496, + "score": -0.31974884383158086, "first_commit": "2018-03-24 21:21:59", "latest_commit": "2024-08-06 10:47:04", "languages": [ @@ -17479,7 +17857,7 @@ "project_name": "J-CRe3", "stargazers_count": 6, "source": "GitHub", - "score": -0.32103446098010496, + "score": -0.31974884383158086, "first_commit": "2024-03-04 01:40:27", "latest_commit": "2024-06-14 18:24:05", "languages": [], @@ -17491,7 +17869,7 @@ "project_name": "pdmocrdataset-part2", "stargazers_count": 6, "source": "GitHub", - "score": -0.32103446098010496, + "score": -0.31974884383158086, "first_commit": "2022-05-24 10:37:30", "latest_commit": "2024-06-26 16:10:28", "languages": [], @@ -17503,7 +17881,7 @@ "project_name": "nlpbook", "stargazers_count": 6, "source": "GitHub", - "score": -0.32103446098010496, + "score": -0.31974884383158086, "first_commit": "2024-05-16 08:44:03", "latest_commit": "2024-07-03 14:25:21", "languages": [], @@ -17515,7 +17893,7 @@ "project_name": "jptranstokenizer", "stargazers_count": 5, "source": "GitHub", - "score": -0.32395750147782726, + "score": -0.32268038584417863, "first_commit": "2022-08-24 19:35:03", "latest_commit": "2024-02-03 03:07:59", "languages": [ @@ -17529,7 +17907,7 @@ "project_name": "compare-ja-tokenizer", "stargazers_count": 5, "source": "GitHub", - "score": -0.32395750147782726, + "score": -0.32268038584417863, "first_commit": "2023-06-13 18:08:18", "latest_commit": "2023-06-16 10:18:55", "languages": [ @@ -17543,7 +17921,7 @@ "project_name": "jawiki-cleaner", "stargazers_count": 5, "source": "GitHub", - "score": -0.32395750147782726, + "score": -0.32268038584417863, "first_commit": "2021-02-21 20:04:59", "latest_commit": "2021-02-21 21:41:44", "languages": [ @@ -17557,7 +17935,7 @@ "project_name": "hidden-markov-model", "stargazers_count": 5, "source": "GitHub", - "score": -0.32395750147782726, + "score": -0.32268038584417863, "first_commit": "2016-10-17 14:33:56", "latest_commit": "2017-06-16 13:33:24", "languages": [ @@ -17571,7 +17949,7 @@ "project_name": "Ngram-language-model", "stargazers_count": 5, "source": "GitHub", - "score": -0.32395750147782726, + "score": -0.32268038584417863, "first_commit": "2017-12-05 14:45:11", "latest_commit": "2017-12-05 15:03:52", "languages": [ @@ -17585,7 +17963,7 @@ "project_name": "akaza", "stargazers_count": 5, "source": "GitHub", - "score": -0.32395750147782726, + "score": -0.32268038584417863, "first_commit": null, "latest_commit": null, "languages": [], @@ -17597,7 +17975,7 @@ "project_name": "elmo-japanese", "stargazers_count": 5, "source": "GitHub", - "score": -0.32395750147782726, + "score": -0.32268038584417863, "first_commit": "2019-10-01 12:16:29", "latest_commit": "2019-10-07 10:37:31", "languages": [ @@ -17611,7 +17989,7 @@ "project_name": "japagen", "stargazers_count": 5, "source": "GitHub", - "score": -0.32395750147782726, + "score": -0.32268038584417863, "first_commit": "2024-01-12 10:53:54", "latest_commit": "2024-08-09 17:41:21", "languages": [], @@ -17623,7 +18001,7 @@ "project_name": "giant_ja-en_parallel_corpus", "stargazers_count": 5, "source": "GitHub", - "score": -0.32395750147782726, + "score": -0.32268038584417863, "first_commit": "2019-08-04 12:01:19", "latest_commit": "2019-08-04 17:40:02", "languages": [ @@ -17637,7 +18015,7 @@ "project_name": "BPersona-chat", "stargazers_count": 5, "source": "GitHub", - "score": -0.32395750147782726, + "score": -0.32268038584417863, "first_commit": "2022-10-10 14:15:10", "latest_commit": "2023-01-12 17:39:24", "languages": [], @@ -17649,7 +18027,7 @@ "project_name": "ita-corpus-chuwa", "stargazers_count": 5, "source": "GitHub", - "score": -0.32395750147782726, + "score": -0.32268038584417863, "first_commit": "2021-07-16 21:19:53", "latest_commit": "2021-08-25 12:22:06", "languages": [ @@ -17663,7 +18041,7 @@ "project_name": "ProSub", "stargazers_count": 5, "source": "GitHub", - "score": -0.32395750147782726, + "score": -0.32268038584417863, "first_commit": "2021-09-12 18:55:13", "latest_commit": "2024-06-02 19:06:13", "languages": [ @@ -17677,7 +18055,7 @@ "project_name": "allennlp-NER-ja", "stargazers_count": 5, "source": "GitHub", - "score": -0.32395750147782726, + "score": -0.32268038584417863, "first_commit": "2022-05-05 10:28:23", "latest_commit": "2022-05-10 00:52:35", "languages": [ @@ -17691,7 +18069,7 @@ "project_name": "chariot-PyTorch-Japanese-text-classification", "stargazers_count": 5, "source": "GitHub", - "score": -0.32395750147782726, + "score": -0.32268038584417863, "first_commit": "2019-03-02 15:04:41", "latest_commit": "2019-03-19 02:51:30", "languages": [ @@ -17705,7 +18083,7 @@ "project_name": "hasami", "stargazers_count": 4, "source": "GitHub", - "score": -0.32688054197554955, + "score": -0.3256119278567764, "first_commit": "2020-12-30 21:32:13", "latest_commit": "2021-02-21 14:39:11", "languages": [ @@ -17719,7 +18097,7 @@ "project_name": "nagisa_bert", "stargazers_count": 4, "source": "GitHub", - "score": -0.32688054197554955, + "score": -0.3256119278567764, "first_commit": "2022-09-26 03:45:52", "latest_commit": "2023-12-23 16:14:09", "languages": [ @@ -17734,7 +18112,7 @@ "project_name": "toEmoji", "stargazers_count": 4, "source": "GitHub", - "score": -0.32688054197554955, + "score": -0.3256119278567764, "first_commit": "2018-02-25 14:52:07", "latest_commit": "2018-04-16 00:59:20", "languages": [ @@ -17748,7 +18126,7 @@ "project_name": "jinf", "stargazers_count": 4, "source": "GitHub", - "score": -0.32688054197554955, + "score": -0.3256119278567764, "first_commit": "2022-02-03 17:59:01", "latest_commit": "2022-12-27 10:28:22", "languages": [ @@ -17762,7 +18140,7 @@ "project_name": "japanese-nli-model", "stargazers_count": 4, "source": "GitHub", - "score": -0.32688054197554955, + "score": -0.3256119278567764, "first_commit": "2022-10-26 17:42:42", "latest_commit": "2022-10-26 17:42:42", "languages": [ @@ -17776,7 +18154,7 @@ "project_name": "go-kakasi", "stargazers_count": 4, "source": "GitHub", - "score": -0.32688054197554955, + "score": -0.3256119278567764, "first_commit": "2024-02-11 19:08:03", "latest_commit": "2024-03-03 18:23:56", "languages": [ @@ -17790,7 +18168,7 @@ "project_name": "neologdn-java", "stargazers_count": 4, "source": "GitHub", - "score": -0.32688054197554955, + "score": -0.3256119278567764, "first_commit": "2017-02-20 18:07:05", "latest_commit": "2021-10-11 22:35:59", "languages": [ @@ -17804,7 +18182,7 @@ "project_name": "jp-azureopenai-samples", "stargazers_count": 4, "source": "GitHub", - "score": -0.32688054197554955, + "score": -0.3256119278567764, "first_commit": "2023-06-21 21:27:33", "latest_commit": "2024-08-16 11:31:48", "languages": [ @@ -17820,7 +18198,7 @@ "project_name": "kanji-flashcard-app-gpt4", "stargazers_count": 4, "source": "GitHub", - "score": -0.32688054197554955, + "score": -0.3256119278567764, "first_commit": "2023-10-17 23:33:19", "latest_commit": "2023-10-17 23:41:17", "languages": [ @@ -17835,7 +18213,7 @@ "project_name": "google-vs-deepl-je", "stargazers_count": 4, "source": "GitHub", - "score": -0.32688054197554955, + "score": -0.3256119278567764, "first_commit": "2020-03-22 19:45:11", "latest_commit": "2020-03-22 23:27:00", "languages": [ @@ -17849,7 +18227,7 @@ "project_name": "jawikicorpus", "stargazers_count": 4, "source": "GitHub", - "score": -0.32688054197554955, + "score": -0.3256119278567764, "first_commit": "2018-04-05 01:07:48", "latest_commit": "2018-11-24 16:44:02", "languages": [], @@ -17861,7 +18239,7 @@ "project_name": "huggingface-datasets_wrime", "stargazers_count": 4, "source": "GitHub", - "score": -0.32688054197554955, + "score": -0.3256119278567764, "first_commit": "2023-01-12 10:43:54", "latest_commit": "2023-01-15 12:39:01", "languages": [ @@ -17875,7 +18253,7 @@ "project_name": "japanese-technical-dict", "stargazers_count": 4, "source": "GitHub", - "score": -0.32688054197554955, + "score": -0.3256119278567764, "first_commit": "2024-01-08 14:44:52", "latest_commit": "2024-06-18 00:54:03", "languages": [ @@ -17889,7 +18267,7 @@ "project_name": "mecab-text-cleaner", "stargazers_count": 3, "source": "GitHub", - "score": -0.32980358247327185, + "score": -0.3285434698693742, "first_commit": "2023-09-01 16:18:34", "latest_commit": "2024-03-29 00:06:20", "languages": [ @@ -17904,7 +18282,7 @@ "project_name": "python-habachen", "stargazers_count": 3, "source": "GitHub", - "score": -0.32980358247327185, + "score": -0.3285434698693742, "first_commit": "2023-10-04 07:40:00", "latest_commit": "2024-01-21 10:29:31", "languages": [ @@ -17921,7 +18299,7 @@ "project_name": "kuzukiri", "stargazers_count": 3, "source": "GitHub", - "score": -0.32980358247327185, + "score": -0.3285434698693742, "first_commit": "2021-11-20 00:05:51", "latest_commit": "2024-06-11 16:43:31", "languages": [ @@ -17937,7 +18315,7 @@ "project_name": "jrte-corpus_example", "stargazers_count": 3, "source": "GitHub", - "score": -0.32980358247327185, + "score": -0.3285434698693742, "first_commit": "2021-08-23 09:46:30", "latest_commit": "2021-11-19 13:11:47", "languages": [ @@ -17951,7 +18329,7 @@ "project_name": "mbart-finetuning", "stargazers_count": 3, "source": "GitHub", - "score": -0.32980358247327185, + "score": -0.3285434698693742, "first_commit": "2021-10-14 00:05:39", "latest_commit": "2021-10-14 00:16:10", "languages": [ @@ -17965,7 +18343,7 @@ "project_name": "tweet_extructor", "stargazers_count": 3, "source": "GitHub", - "score": -0.32980358247327185, + "score": -0.3285434698693742, "first_commit": "2018-06-20 16:23:11", "latest_commit": "2022-08-28 13:30:18", "languages": [ @@ -17979,7 +18357,7 @@ "project_name": "japanese_chatbot", "stargazers_count": 3, "source": "GitHub", - "score": -0.32980358247327185, + "score": -0.3285434698693742, "first_commit": null, "latest_commit": null, "languages": [], @@ -17991,7 +18369,7 @@ "project_name": "tokenizer-speed-bench", "stargazers_count": 3, "source": "GitHub", - "score": -0.32980358247327185, + "score": -0.3285434698693742, "first_commit": "2021-10-28 21:38:49", "latest_commit": "2023-03-01 14:07:29", "languages": [ @@ -18008,7 +18386,7 @@ "project_name": "listup_precedent", "stargazers_count": 3, "source": "GitHub", - "score": -0.32980358247327185, + "score": -0.3285434698693742, "first_commit": "2023-01-15 08:01:44", "latest_commit": "2024-05-11 22:30:27", "languages": [ @@ -18022,7 +18400,7 @@ "project_name": "juman-bin", "stargazers_count": 3, "source": "GitHub", - "score": -0.32980358247327185, + "score": -0.3285434698693742, "first_commit": "2017-05-11 13:18:41", "latest_commit": "2017-05-11 13:53:25", "languages": [ @@ -18036,7 +18414,7 @@ "project_name": "Japanese-Word-Of-The-Day", "stargazers_count": 3, "source": "GitHub", - "score": -0.32980358247327185, + "score": -0.3285434698693742, "first_commit": "2021-07-10 00:03:05", "latest_commit": "2021-08-11 03:03:38", "languages": [ @@ -18050,7 +18428,7 @@ "project_name": "jawikivec", "stargazers_count": 3, "source": "GitHub", - "score": -0.32980358247327185, + "score": -0.3285434698693742, "first_commit": "2018-06-04 01:22:54", "latest_commit": "2018-11-24 17:10:01", "languages": [], @@ -18062,7 +18440,7 @@ "project_name": "mh-dict-jp", "stargazers_count": 3, "source": "GitHub", - "score": -0.32980358247327185, + "score": -0.3285434698693742, "first_commit": "2023-04-27 20:01:36", "latest_commit": "2023-11-27 13:46:48", "languages": [ @@ -18076,7 +18454,7 @@ "project_name": "jesc_small", "stargazers_count": 3, "source": "GitHub", - "score": -0.32980358247327185, + "score": -0.3285434698693742, "first_commit": "2019-07-06 12:36:45", "latest_commit": "2019-07-06 12:49:24", "languages": [], @@ -18088,7 +18466,7 @@ "project_name": "japanese-corpus", "stargazers_count": 3, "source": "GitHub", - "score": -0.32980358247327185, + "score": -0.3285434698693742, "first_commit": "2018-08-19 04:18:55", "latest_commit": "2018-10-09 19:08:10", "languages": [], @@ -18100,7 +18478,7 @@ "project_name": "speechBSD", "stargazers_count": 3, "source": "GitHub", - "score": -0.32980358247327185, + "score": -0.3285434698693742, "first_commit": "2022-05-30 11:17:29", "latest_commit": "2024-02-07 22:15:37", "languages": [], @@ -18112,7 +18490,7 @@ "project_name": "anlp-jp-history", "stargazers_count": 3, "source": "GitHub", - "score": -0.32980358247327185, + "score": -0.3285434698693742, "first_commit": "2015-08-12 17:40:32", "latest_commit": "2024-04-05 19:33:15", "languages": [ @@ -18126,7 +18504,7 @@ "project_name": "handson-language-models", "stargazers_count": 3, "source": "GitHub", - "score": -0.32980358247327185, + "score": -0.3285434698693742, "first_commit": "2021-03-13 15:29:37", "latest_commit": "2021-03-18 19:33:34", "languages": [ @@ -18140,7 +18518,7 @@ "project_name": "jdepp-python", "stargazers_count": 2, "source": "GitHub", - "score": -0.33272662297099415, + "score": -0.331475011881972, "first_commit": "2024-01-01 23:34:44", "latest_commit": "2024-02-14 22:09:31", "languages": [ @@ -18154,7 +18532,7 @@ "project_name": "wiredify", "stargazers_count": 2, "source": "GitHub", - "score": -0.33272662297099415, + "score": -0.331475011881972, "first_commit": "2023-09-03 09:17:14", "latest_commit": "2023-12-19 01:01:46", "languages": [ @@ -18168,7 +18546,7 @@ "project_name": "utsuho", "stargazers_count": 2, "source": "GitHub", - "score": -0.33272662297099415, + "score": -0.331475011881972, "first_commit": "2023-03-27 11:07:55", "latest_commit": "2023-11-20 08:53:43", "languages": [ @@ -18182,7 +18560,7 @@ "project_name": "Japanese-BERT-Sentiment-Analyzer", "stargazers_count": 2, "source": "GitHub", - "score": -0.33272662297099415, + "score": -0.331475011881972, "first_commit": "2021-03-17 22:22:31", "latest_commit": "2021-04-20 00:41:29", "languages": [ @@ -18196,7 +18574,7 @@ "project_name": "ishi", "stargazers_count": 2, "source": "GitHub", - "score": -0.33272662297099415, + "score": -0.331475011881972, "first_commit": "2019-12-21 17:24:25", "latest_commit": "2020-05-15 22:18:26", "languages": [ @@ -18210,7 +18588,7 @@ "project_name": "unihan-lm", "stargazers_count": 2, "source": "GitHub", - "score": -0.33272662297099415, + "score": -0.331475011881972, "first_commit": "2020-09-14 16:41:10", "latest_commit": "2020-11-06 10:12:50", "languages": [ @@ -18224,7 +18602,7 @@ "project_name": "japanese_qa_demo_with_haystack_and_es", "stargazers_count": 2, "source": "GitHub", - "score": -0.33272662297099415, + "score": -0.331475011881972, "first_commit": "2022-12-18 19:21:06", "latest_commit": "2022-12-19 03:57:34", "languages": [ @@ -18238,7 +18616,7 @@ "project_name": "trimatch", "stargazers_count": 2, "source": "GitHub", - "score": -0.33272662297099415, + "score": -0.331475011881972, "first_commit": "2021-08-30 17:26:15", "latest_commit": "2024-02-08 10:06:06", "languages": [ @@ -18252,7 +18630,7 @@ "project_name": "tantivy-vibrato", "stargazers_count": 2, "source": "GitHub", - "score": -0.33272662297099415, + "score": -0.331475011881972, "first_commit": "2022-08-25 13:31:30", "latest_commit": "2023-01-19 10:12:17", "languages": [ @@ -18266,7 +18644,7 @@ "project_name": "find-simdoc", "stargazers_count": 2, "source": "GitHub", - "score": -0.33272662297099415, + "score": -0.331475011881972, "first_commit": "2022-08-31 12:56:10", "latest_commit": "2022-09-27 11:39:27", "languages": [ @@ -18281,7 +18659,7 @@ "project_name": "stringmatch-bench", "stargazers_count": 2, "source": "GitHub", - "score": -0.33272662297099415, + "score": -0.331475011881972, "first_commit": "2022-09-29 12:24:29", "latest_commit": "2022-09-30 11:36:55", "languages": [ @@ -18296,7 +18674,7 @@ "project_name": "japanki", "stargazers_count": 2, "source": "GitHub", - "score": -0.33272662297099415, + "score": -0.331475011881972, "first_commit": "2023-10-04 17:43:27", "latest_commit": "2023-10-17 01:00:00", "languages": [ @@ -18310,7 +18688,7 @@ "project_name": "pitch-accent", "stargazers_count": 2, "source": "GitHub", - "score": -0.33272662297099415, + "score": -0.331475011881972, "first_commit": "2023-08-09 13:36:52", "latest_commit": "2023-09-08 08:19:43", "languages": [ @@ -18326,7 +18704,7 @@ "project_name": "gpt-ja", "stargazers_count": 2, "source": "GitHub", - "score": -0.33272662297099415, + "score": -0.331475011881972, "first_commit": "2021-06-13 13:14:18", "latest_commit": "2021-09-27 21:08:39", "languages": [ @@ -18340,7 +18718,7 @@ "project_name": "AcademicBART", "stargazers_count": 2, "source": "GitHub", - "score": -0.33272662297099415, + "score": -0.331475011881972, "first_commit": "2023-01-11 16:19:21", "latest_commit": "2024-07-11 22:09:11", "languages": [ @@ -18354,7 +18732,7 @@ "project_name": "denonbu-ime-dic", "stargazers_count": 2, "source": "GitHub", - "score": -0.33272662297099415, + "score": -0.331475011881972, "first_commit": "2019-12-30 01:37:16", "latest_commit": "2022-11-13 23:09:25", "languages": [], @@ -18366,7 +18744,7 @@ "project_name": "anthy", "stargazers_count": 2, "source": "GitHub", - "score": -0.33272662297099415, + "score": -0.331475011881972, "first_commit": "2013-06-30 11:09:24", "latest_commit": "2013-07-27 22:45:26", "languages": [ @@ -18380,7 +18758,7 @@ "project_name": "Data-on-Japanese-Diet-Members", "stargazers_count": 2, "source": "GitHub", - "score": -0.33272662297099415, + "score": -0.331475011881972, "first_commit": "2022-07-02 22:58:11", "latest_commit": "2022-09-29 13:37:11", "languages": [], @@ -18392,7 +18770,7 @@ "project_name": "ndlngramviewer_v2", "stargazers_count": 2, "source": "GitHub", - "score": -0.33272662297099415, + "score": -0.331475011881972, "first_commit": "2022-12-26 13:29:58", "latest_commit": "2023-07-20 11:05:53", "languages": [ @@ -18410,7 +18788,7 @@ "project_name": "huggingface-datasets_livedoor-news-corpus", "stargazers_count": 2, "source": "GitHub", - "score": -0.33272662297099415, + "score": -0.331475011881972, "first_commit": "2023-01-17 23:16:18", "latest_commit": "2023-10-28 14:40:17", "languages": [ @@ -18424,7 +18802,7 @@ "project_name": "jpn_explainable_qa_dataset", "stargazers_count": 2, "source": "GitHub", - "score": -0.33272662297099415, + "score": -0.331475011881972, "first_commit": null, "latest_commit": null, "languages": [], @@ -18436,7 +18814,7 @@ "project_name": "jemhopqa", "stargazers_count": 2, "source": "GitHub", - "score": -0.33272662297099415, + "score": -0.331475011881972, "first_commit": "2023-08-01 02:07:45", "latest_commit": "2024-06-05 14:54:08", "languages": [ @@ -18450,7 +18828,7 @@ "project_name": "bert-classification-tutorial-2024", "stargazers_count": 2, "source": "GitHub", - "score": -0.33272662297099415, + "score": -0.331475011881972, "first_commit": "2024-05-28 10:50:41", "latest_commit": "2024-07-08 17:10:46", "languages": [ @@ -18464,7 +18842,7 @@ "project_name": "Gemma2_2b_Japanese_finetuning_colab.ipynb", "stargazers_count": 2, "source": "GitHub", - "score": -0.33272662297099415, + "score": -0.331475011881972, "first_commit": null, "latest_commit": null, "languages": [], @@ -18476,7 +18854,7 @@ "project_name": "joint-information-extraction-hs", "stargazers_count": 1, "source": "GitHub", - "score": -0.33564966346871644, + "score": -0.33440655389456975, "first_commit": "2021-11-05 12:32:31", "latest_commit": "2021-11-17 12:29:39", "languages": [ @@ -18491,7 +18869,7 @@ "project_name": "t5_japanese_dialogue_generation", "stargazers_count": 1, "source": "GitHub", - "score": -0.33564966346871644, + "score": -0.33440655389456975, "first_commit": "2021-11-19 18:32:46", "latest_commit": "2021-11-28 10:48:04", "languages": [ @@ -18506,7 +18884,7 @@ "project_name": "lm-evaluation-harness-jp-stable", "stargazers_count": 1, "source": "GitHub", - "score": -0.33564966346871644, + "score": -0.33440655389456975, "first_commit": "2020-08-27 18:08:04", "latest_commit": "2023-06-19 10:48:40", "languages": [ @@ -18521,7 +18899,7 @@ "project_name": "japanese2phoneme", "stargazers_count": 1, "source": "GitHub", - "score": -0.33564966346871644, + "score": -0.33440655389456975, "first_commit": "2021-02-09 16:27:24", "latest_commit": "2022-02-24 16:11:04", "languages": [ @@ -18535,7 +18913,7 @@ "project_name": "anlp_nlp2021_d3-1", "stargazers_count": 1, "source": "GitHub", - "score": -0.33564966346871644, + "score": -0.33440655389456975, "first_commit": "2021-03-12 02:34:47", "latest_commit": "2022-03-08 13:40:28", "languages": [ @@ -18549,7 +18927,7 @@ "project_name": "JDT-with-KenLM-scoring", "stargazers_count": 1, "source": "GitHub", - "score": -0.33564966346871644, + "score": -0.33440655389456975, "first_commit": "2022-06-28 09:22:47", "latest_commit": "2022-07-01 21:29:00", "languages": [ @@ -18563,7 +18941,7 @@ "project_name": "japanese-word-aggregation", "stargazers_count": 1, "source": "GitHub", - "score": -0.33564966346871644, + "score": -0.33440655389456975, "first_commit": "2018-08-08 13:39:47", "latest_commit": "2018-08-20 07:51:01", "languages": [ @@ -18577,7 +18955,7 @@ "project_name": "SAT-for-Japanese", "stargazers_count": 1, "source": "GitHub", - "score": -0.33564966346871644, + "score": -0.33440655389456975, "first_commit": "2022-10-04 23:48:47", "latest_commit": "2022-10-05 00:40:09", "languages": [ @@ -18591,7 +18969,7 @@ "project_name": "japanese_llm_eval", "stargazers_count": 1, "source": "GitHub", - "score": -0.33564966346871644, + "score": -0.33440655389456975, "first_commit": "2024-03-28 14:56:01", "latest_commit": "2024-04-22 07:39:03", "languages": [ @@ -18606,7 +18984,7 @@ "project_name": "qlora_ja", "stargazers_count": 1, "source": "GitHub", - "score": -0.33564966346871644, + "score": -0.33440655389456975, "first_commit": "2023-09-10 15:04:15", "latest_commit": "2024-07-13 10:01:12", "languages": [ @@ -18620,7 +18998,7 @@ "project_name": "japanese-address-parser", "stargazers_count": 1, "source": "GitHub", - "score": -0.33564966346871644, + "score": -0.33440655389456975, "first_commit": "2023-11-17 23:16:38", "latest_commit": "2024-08-12 18:23:09", "languages": [ @@ -18635,7 +19013,7 @@ "project_name": "friendly_JA-Model", "stargazers_count": 1, "source": "GitHub", - "score": -0.33564966346871644, + "score": -0.33440655389456975, "first_commit": "2022-01-10 12:03:59", "latest_commit": "2022-05-22 14:42:46", "languages": [], @@ -18647,7 +19025,7 @@ "project_name": "ChuanhuChatGPTJapanese", "stargazers_count": 1, "source": "GitHub", - "score": -0.33564966346871644, + "score": -0.33440655389456975, "first_commit": "2023-03-02 21:37:13", "latest_commit": "2023-03-07 14:10:10", "languages": [ @@ -18661,7 +19039,7 @@ "project_name": "chrome-ext-translate-to-hiragana-with-chatgpt", "stargazers_count": 1, "source": "GitHub", - "score": -0.33564966346871644, + "score": -0.33440655389456975, "first_commit": "2023-03-25 20:09:31", "latest_commit": "2023-04-01 16:05:53", "languages": [ @@ -18675,7 +19053,7 @@ "project_name": "chatvrm", "stargazers_count": 1, "source": "GitHub", - "score": -0.33564966346871644, + "score": -0.33440655389456975, "first_commit": "2023-04-28 17:25:29", "latest_commit": "2024-07-18 13:49:25", "languages": [ @@ -18690,7 +19068,7 @@ "project_name": "sftly-replace", "stargazers_count": 1, "source": "GitHub", - "score": -0.33564966346871644, + "score": -0.33440655389456975, "first_commit": "2023-05-04 20:51:22", "latest_commit": "2023-05-24 02:03:16", "languages": [ @@ -18704,7 +19082,7 @@ "project_name": "JumanDIC", "stargazers_count": 1, "source": "GitHub", - "score": -0.33564966346871644, + "score": -0.33440655389456975, "first_commit": "2015-12-07 17:42:10", "latest_commit": "2022-08-18 19:01:36", "languages": [ @@ -18720,7 +19098,7 @@ "project_name": "uchinaaguchi_dict", "stargazers_count": 1, "source": "GitHub", - "score": -0.33564966346871644, + "score": -0.33440655389456975, "first_commit": "2024-03-12 06:53:05", "latest_commit": "2024-08-12 17:05:46", "languages": [ @@ -18735,7 +19113,7 @@ "project_name": "skk-jisyo.emoji-ja", "stargazers_count": 1, "source": "GitHub", - "score": -0.33564966346871644, + "score": -0.33440655389456975, "first_commit": "2018-03-13 01:04:56", "latest_commit": "2018-03-13 02:01:32", "languages": [ @@ -18749,7 +19127,7 @@ "project_name": "kokkosho_data", "stargazers_count": 1, "source": "GitHub", - "score": -0.33564966346871644, + "score": -0.33440655389456975, "first_commit": "2017-04-16 15:04:26", "latest_commit": "2019-07-09 23:36:27", "languages": [], @@ -18761,7 +19139,7 @@ "project_name": "isbn4groups", "stargazers_count": 1, "source": "GitHub", - "score": -0.33564966346871644, + "score": -0.33440655389456975, "first_commit": "2022-08-03 16:31:28", "latest_commit": "2024-06-25 14:11:40", "languages": [], @@ -18773,7 +19151,7 @@ "project_name": "jacred", "stargazers_count": 1, "source": "GitHub", - "score": -0.33564966346871644, + "score": -0.33440655389456975, "first_commit": "2024-01-11 16:26:25", "latest_commit": "2024-03-08 17:58:20", "languages": [], @@ -18785,7 +19163,7 @@ "project_name": "jades", "stargazers_count": 1, "source": "GitHub", - "score": -0.33564966346871644, + "score": -0.33440655389456975, "first_commit": "2022-10-15 09:32:35", "latest_commit": "2022-12-13 15:57:29", "languages": [], @@ -18797,7 +19175,7 @@ "project_name": "japanese-ir-tutorial", "stargazers_count": 1, "source": "GitHub", - "score": -0.33564966346871644, + "score": -0.33440655389456975, "first_commit": "2024-04-29 10:52:11", "latest_commit": "2024-06-05 18:56:44", "languages": [ @@ -18811,7 +19189,7 @@ "project_name": "pynormalizenumexp", "stargazers_count": 0, "source": "GitHub", - "score": -0.3385727039664387, + "score": -0.33733809590716757, "first_commit": "2021-10-11 21:02:26", "latest_commit": "2024-04-28 19:55:49", "languages": [ @@ -18825,7 +19203,7 @@ "project_name": "Kindai-OCR", "stargazers_count": 0, "source": "GitHub", - "score": -0.3385727039664387, + "score": -0.33733809590716757, "first_commit": "2020-07-08 10:12:27", "latest_commit": "2023-07-12 12:14:52", "languages": [ @@ -18839,7 +19217,7 @@ "project_name": "JGLUE-benchmark", "stargazers_count": 0, "source": "GitHub", - "score": -0.3385727039664387, + "score": -0.33733809590716757, "first_commit": "2023-03-18 01:19:37", "latest_commit": "2024-08-09 18:31:33", "languages": [ @@ -18853,7 +19231,7 @@ "project_name": "yubin", "stargazers_count": 0, "source": "GitHub", - "score": -0.3385727039664387, + "score": -0.33733809590716757, "first_commit": "2019-10-28 07:11:54", "latest_commit": "2019-10-28 07:20:26", "languages": [ @@ -18867,7 +19245,7 @@ "project_name": "ASRDeepSpeech", "stargazers_count": 0, "source": "GitHub", - "score": -0.3385727039664387, + "score": -0.33733809590716757, "first_commit": "2020-03-03 15:08:25", "latest_commit": "2022-09-26 00:11:29", "languages": [ @@ -18882,7 +19260,7 @@ "project_name": "radicalchar", "stargazers_count": 0, "source": "GitHub", - "score": -0.3385727039664387, + "score": -0.33733809590716757, "first_commit": "2022-11-29 19:17:38", "latest_commit": "2022-12-30 01:40:44", "languages": [ @@ -18898,7 +19276,7 @@ "project_name": "natsume", "stargazers_count": 0, "source": "GitHub", - "score": -0.3385727039664387, + "score": -0.33733809590716757, "first_commit": null, "latest_commit": null, "languages": [], @@ -18910,7 +19288,7 @@ "project_name": "RAG-Japanese", "stargazers_count": 0, "source": "GitHub", - "score": -0.3385727039664387, + "score": -0.33733809590716757, "first_commit": "2023-11-14 14:06:31", "latest_commit": "2023-11-29 19:47:20", "languages": [ @@ -18924,7 +19302,7 @@ "project_name": "jglue-evaluation-scripts", "stargazers_count": 0, "source": "GitHub", - "score": -0.3385727039664387, + "score": -0.33733809590716757, "first_commit": "2023-03-18 01:19:37", "latest_commit": "2024-08-09 18:31:33", "languages": [ @@ -18932,13 +19310,43 @@ ], "model_or_dataset": null }, + { + "description": "日本語文字変換ライブラリ (javascript)", + "url": "https://github.com/kazuhikoarase/jaconv", + "project_name": "jaconv", + "stargazers_count": 0, + "source": "GitHub", + "score": -0.33733809590716757, + "first_commit": "2016-10-22 05:22:02", + "latest_commit": "2024-01-20 05:35:13", + "languages": [ + "TypeScript", + "JavaScript", + "Java" + ], + "model_or_dataset": null + }, + { + "description": "Convert romaji into hiragana", + "url": "https://github.com/koozaki/romaji-conv", + "project_name": "romaji-conv", + "stargazers_count": 0, + "source": "GitHub", + "score": -0.33733809590716757, + "first_commit": "2020-07-05 01:29:36", + "latest_commit": "2024-09-01 19:50:38", + "languages": [ + "JavaScript" + ], + "model_or_dataset": null + }, { "description": "Extend GNOME On-Screen Keyboard for Input Methods", "url": "https://github.com/esrille/oskim", "project_name": "oskim", "stargazers_count": 0, "source": "GitHub", - "score": -0.3385727039664387, + "score": -0.33733809590716757, "first_commit": "2023-02-24 15:08:36", "latest_commit": "2023-02-24 15:43:20", "languages": [ @@ -18953,7 +19361,7 @@ "project_name": "aovec", "stargazers_count": 0, "source": "GitHub", - "score": -0.3385727039664387, + "score": -0.33733809590716757, "first_commit": "2021-06-22 16:51:15", "latest_commit": "2023-02-01 02:27:34", "languages": [ @@ -18967,7 +19375,7 @@ "project_name": "BERT-Japan-vaccination", "stargazers_count": 0, "source": "GitHub", - "score": -0.3385727039664387, + "score": -0.33733809590716757, "first_commit": "2022-04-05 16:46:38", "latest_commit": "2022-05-23 00:47:45", "languages": [ @@ -18981,7 +19389,7 @@ "project_name": "VRChatGPT", "stargazers_count": 0, "source": "GitHub", - "score": -0.3385727039664387, + "score": -0.33733809590716757, "first_commit": "2023-03-21 19:53:54", "latest_commit": "2023-03-22 21:04:37", "languages": [ @@ -18995,7 +19403,7 @@ "project_name": "chatgpt-prompt-sample-japanese", "stargazers_count": 0, "source": "GitHub", - "score": -0.3385727039664387, + "score": -0.33733809590716757, "first_commit": "2023-04-13 14:22:50", "latest_commit": "2024-08-09 15:15:17", "languages": [], @@ -19007,7 +19415,7 @@ "project_name": "pokemon-ime-dic", "stargazers_count": 0, "source": "GitHub", - "score": -0.3385727039664387, + "score": -0.33733809590716757, "first_commit": "2020-01-10 23:13:19", "latest_commit": "2020-01-10 23:25:48", "languages": [], @@ -19019,7 +19427,7 @@ "project_name": "jitenbot", "stargazers_count": 0, "source": "GitHub", - "score": -0.3385727039664387, + "score": -0.33733809590716757, "first_commit": null, "latest_commit": null, "languages": [], @@ -19031,7 +19439,7 @@ "project_name": "azookey-desktop", "stargazers_count": 0, "source": "GitHub", - "score": -0.3385727039664387, + "score": -0.33733809590716757, "first_commit": "2021-09-07 21:50:12", "latest_commit": "2024-08-13 22:08:17", "languages": [ @@ -19045,7 +19453,7 @@ "project_name": "azookeykanakanjiconverter", "stargazers_count": 0, "source": "GitHub", - "score": -0.3385727039664387, + "score": -0.33733809590716757, "first_commit": "2023-05-28 11:51:25", "latest_commit": "2024-08-11 00:53:16", "languages": [ @@ -19053,13 +19461,41 @@ ], "model_or_dataset": "dataset" }, + { + "description": "Japanese Kana Kanji conversion input method library", + "url": "https://github.com/ueno/libkkc", + "project_name": "libkkc", + "stargazers_count": 0, + "source": "GitHub", + "score": -0.33733809590716757, + "first_commit": "2012-08-07 17:45:52", + "latest_commit": "2024-09-02 12:08:48", + "languages": [ + "Python" + ], + "model_or_dataset": "dataset" + }, + { + "description": "Japanese SKK input method library", + "url": "https://github.com/ueno/libskk", + "project_name": "libskk", + "stargazers_count": 0, + "source": "GitHub", + "score": -0.33733809590716757, + "first_commit": "2011-10-05 18:18:07", + "latest_commit": "2024-09-02 12:09:00", + "languages": [ + "C" + ], + "model_or_dataset": "dataset" + }, { "description": "Parallel Universal Dependencies.", "url": "https://github.com/megagonlabs/UD_Japanese-PUD", "project_name": "UD_Japanese-PUD", "stargazers_count": 0, "source": "GitHub", - "score": -0.3385727039664387, + "score": -0.33733809590716757, "first_commit": "2017-05-23 10:31:45", "latest_commit": "2020-05-16 10:57:47", "languages": [], @@ -19071,7 +19507,7 @@ "project_name": "graded-enja-corpus", "stargazers_count": 0, "source": "GitHub", - "score": -0.3385727039664387, + "score": -0.33733809590716757, "first_commit": "2021-06-05 11:55:23", "latest_commit": "2023-03-14 00:24:51", "languages": [ @@ -19085,7 +19521,7 @@ "project_name": "WikipediaWordFrequencyList", "stargazers_count": 0, "source": "GitHub", - "score": -0.3385727039664387, + "score": -0.33733809590716757, "first_commit": "2022-04-17 16:35:32", "latest_commit": "2022-04-17 16:44:19", "languages": [ @@ -19099,7 +19535,7 @@ "project_name": "friendly_JA-Corpus", "stargazers_count": 0, "source": "GitHub", - "score": -0.3385727039664387, + "score": -0.33733809590716757, "first_commit": null, "latest_commit": null, "languages": [], @@ -19111,7 +19547,7 @@ "project_name": "copa-japanese", "stargazers_count": 0, "source": "GitHub", - "score": -0.3385727039664387, + "score": -0.33733809590716757, "first_commit": "2023-01-13 09:04:08", "latest_commit": "2023-02-24 11:28:31", "languages": [], @@ -19123,7 +19559,7 @@ "project_name": "huggingface-datasets_CAMERA", "stargazers_count": 0, "source": "GitHub", - "score": -0.3385727039664387, + "score": -0.33733809590716757, "first_commit": "2023-03-17 23:02:32", "latest_commit": "2023-03-17 23:49:35", "languages": [ @@ -19137,7 +19573,7 @@ "project_name": "FactCheckSentenceNLI-FCSNLI-", "stargazers_count": 0, "source": "GitHub", - "score": -0.3385727039664387, + "score": -0.33733809590716757, "first_commit": "2021-02-26 14:08:54", "latest_commit": "2021-03-03 11:15:47", "languages": [ @@ -19151,7 +19587,7 @@ "project_name": "EaST-MELD", "stargazers_count": 0, "source": "GitHub", - "score": -0.3385727039664387, + "score": -0.33733809590716757, "first_commit": "2023-04-12 00:16:46", "latest_commit": "2023-06-23 11:09:20", "languages": [], @@ -19163,7 +19599,7 @@ "project_name": "reazonspeech", "stargazers_count": 0, "source": "GitHub", - "score": -0.3385727039664387, + "score": -0.33733809590716757, "first_commit": "2022-10-19 10:08:01", "latest_commit": "2024-08-01 17:38:15", "languages": [ @@ -19178,7 +19614,7 @@ "project_name": "j-unimorph", "stargazers_count": 0, "source": "GitHub", - "score": -0.3385727039664387, + "score": -0.33733809590716757, "first_commit": "2024-01-10 20:05:15", "latest_commit": "2024-05-12 20:42:38", "languages": [ @@ -19192,7 +19628,7 @@ "project_name": "jmed-llm", "stargazers_count": 0, "source": "GitHub", - "score": -0.3385727039664387, + "score": -0.33733809590716757, "first_commit": "2024-07-11 20:01:36", "latest_commit": "2024-08-10 08:49:25", "languages": [ @@ -19206,7 +19642,7 @@ "project_name": "lawtext", "stargazers_count": 0, "source": "GitHub", - "score": -0.3385727039664387, + "score": -0.33733809590716757, "first_commit": "2017-12-06 23:09:02", "latest_commit": "2024-08-10 23:37:12", "languages": [ @@ -19221,7 +19657,7 @@ "project_name": "nlp2024-tutorial-3", "stargazers_count": 0, "source": "GitHub", - 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