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" @@ -3,9 +3,9 @@ "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": 1329767, + "downloads": 1131380, "source": "Hugging Face", - "score": 19.31870691627456, + "score": 16.846364509035123, "first_commit": "2021-04-16 00:20:03", "latest_commit": "2022-12-14 01:58:09", "languages": [], @@ -26,32 +26,32 @@ ], "model_or_dataset": 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": 999230, - "source": "Hugging Face", - "score": 14.490236493553173, - "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 - }, { "description": "BERT base Japanese (IPA dictionary)", "url": "https://huggingface.co./tohoku-nlp/bert-base-japanese", "project_name": "bert-base-japanese", - "downloads": 932920, + "downloads": 1018203, "source": "Hugging Face", - "score": 13.521582836834998, + "score": 15.150267542810129, "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, + "source": "Hugging Face", + "score": 15.010775679961474, + "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 + }, { "description": "Neologism dictionary based on the language resources on the Web for mecab-ipadic", "url": "https://github.com/neologd/mecab-ipadic-neologd", @@ -99,9 +99,9 @@ "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": 352906, + "downloads": 365185, "source": "Hugging Face", - "score": 5.048763020099434, + "score": 5.3639872147371825, "first_commit": "2020-04-28 21:34:35", "latest_commit": "2024-02-22 00:57:37", "languages": [], @@ -150,17 +150,17 @@ "model_or_dataset": null }, { - "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": 283049, + "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, "source": "Hugging Face", - "score": 4.02829493840193, - "first_commit": "2022-04-27 08:29:29", - "latest_commit": "2024-07-22 08:09:24", + "score": 3.95132488560465, + "first_commit": "2023-07-16 07:28:46", + "latest_commit": "2023-08-25 02:53:22", "languages": [], "model_or_dataset": "model", - "model_size": 0.197 + "model_size": null }, { "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", @@ -190,32 +190,6 @@ ], "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": 202023, - "source": "Hugging Face", - "score": 2.8446705802471004, - "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": "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": 200923, - "source": "Hugging Face", - "score": 2.828601827081816, - "first_commit": "2023-07-16 07:28:46", - "latest_commit": "2023-08-25 02:53:22", - "languages": [], - "model_or_dataset": "model", - "model_size": null - }, { "description": "Japanese pop-up dictionary extension for Chrome and Firefox.", "url": "https://github.com/FooSoft/yomichan", @@ -279,6 +253,19 @@ ], "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": 2.1696265527497145, + "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", @@ -311,6 +298,19 @@ ], "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": 2.093646348125447, + "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", @@ -431,19 +431,6 @@ ], "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": 125121, - "source": "Hugging Face", - "score": 1.7212894385046624, - "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": "- Language Understanding with Knowledge-based Embeddings", "url": "https://github.com/studio-ousia/luke", @@ -487,6 +474,19 @@ ], "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": 1.6488399470499284, + "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", @@ -502,19 +502,6 @@ ], "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": 114951, - "source": "Hugging Face", - "score": 1.572726511512899, - "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": "Automatically exported from code.google.com/p/mozc-morse", "url": "https://github.com/google/mozc-devices", @@ -531,32 +518,32 @@ ], "model_or_dataset": null }, - { - "description": "JMTEB:", - "url": "https://huggingface.co./datasets/sbintuitions/JMTEB", - "project_name": "JMTEB", - "downloads": 106868, - "source": "Hugging Face", - "score": 1.4546503916629066, - "first_commit": "2024-02-22 18:15:27", - "latest_commit": "2024-06-28 15:18:20", - "languages": [], - "model_or_dataset": "dataset", - "model_size": null - }, { "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": 103373, + "downloads": 108438, "source": "Hugging Face", - "score": 1.403595580469572, + "score": 1.5163166828502448, "first_commit": "2021-03-05 04:05:08", "latest_commit": "2021-09-23 15:45:24", "languages": [], "model_or_dataset": "model", "model_size": null }, + { + "description": "JMTEB:", + "url": "https://huggingface.co./datasets/sbintuitions/JMTEB", + "project_name": "JMTEB", + "downloads": 98053, + "source": "Hugging Face", + "score": 1.3606846463565532, + "first_commit": "2024-02-22 18:15:27", + "latest_commit": "2024-06-28 15:18:20", + "languages": [], + "model_or_dataset": "dataset", + "model_size": null + }, { "description": "Code for producing Japanese pretrained models provided by rinna Co., Ltd.", "url": "https://github.com/rinnakk/japanese-pretrained-models", @@ -571,6 +558,19 @@ ], "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": 1.3078731589609085, + "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", @@ -616,32 +616,6 @@ ], "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": 83483, - "source": "Hugging Face", - "score": 1.1130433073263886, - "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 - }, - { - "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": 81543, - "source": "Hugging Face", - "score": 1.0847038699257965, - "first_commit": "2023-08-28 12:58:25", - "latest_commit": "2023-08-29 03:46:15", - "languages": [], - "model_or_dataset": "model", - "model_size": null - }, { "description": "morphological analyzer (word segmentor + PoS Tagger) for Chinese and Japanese written purely in JavaScript.", "url": "https://github.com/rakuten-nlp/rakutenma", @@ -671,13 +645,26 @@ ], "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, + "source": "Hugging Face", + "score": 0.9904197714745464, + "first_commit": "2023-08-28 12:58:25", + "latest_commit": "2023-08-29 03:46:15", + "languages": [], + "model_or_dataset": "model", + "model_size": null + }, { "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": 78327, + "downloads": 72082, "source": "Hugging Face", - "score": 1.0377246788534749, + "score": 0.9714771721362675, "first_commit": "2023-05-19 00:13:53", "latest_commit": "2023-05-19 00:31:53", "languages": [], @@ -685,17 +672,17 @@ "model_size": 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": 73052, + "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, "source": "Hugging Face", - "score": 0.9606677034472259, - "first_commit": "2022-01-15 17:39:06", - "latest_commit": "2022-06-22 15:34:05", + "score": 0.9613165057190578, + "first_commit": "2021-07-22 06:11:37", + "latest_commit": "2024-04-17 11:40:03", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.111 }, { "description": "Lightweight converter from Japanese Kana-kanji sentences into Kana-Roman.", @@ -725,6 +712,32 @@ ], "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, + "source": "Hugging Face", + "score": 0.770931393382432, + "first_commit": "2023-12-07 02:18:36", + "latest_commit": "2024-06-29 08:56:26", + "languages": [], + "model_or_dataset": "model", + "model_size": 6.83 + }, + { + "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, + "source": "Hugging Face", + "score": 0.7706016962420505, + "first_commit": "2021-08-01 04:12:28", + "latest_commit": "2021-08-08 15:47:42", + "languages": [], + "model_or_dataset": "model", + "model_size": null + }, { "description": "A Cython MeCab wrapper for fast, pythonic Japanese tokenization and morphological analysis.", "url": "https://github.com/polm/fugashi", @@ -753,19 +766,6 @@ ], "model_or_dataset": null }, - { - "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": 58845, - "source": "Hugging Face", - "score": 0.7531324523388695, - "first_commit": "2021-08-01 04:12:28", - "latest_commit": "2021-08-08 15:47:42", - "languages": [], - "model_or_dataset": "model", - "model_size": null - }, { "description": "Juman++ (a Morphological Analyzer Toolkit)", "url": "https://github.com/ku-nlp/jumanpp", @@ -801,15 +801,28 @@ "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": 55945, + "downloads": 55036, "source": "Hugging Face", - "score": 0.7107693758122112, + "score": 0.7160218332752691, "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": 0.6911746578774318, + "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", @@ -1098,6 +1111,19 @@ ], "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": 0.4445012519375026, + "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", @@ -1114,19 +1140,6 @@ ], "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": 35526, - "source": "Hugging Face", - "score": 0.4124894931922685, - "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": "「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", @@ -1142,8 +1155,21 @@ "model_or_dataset": null }, { - "description": "azooKey: A Japanese Keyboard iOS Application Fully Developed in Swift", - "url": "https://github.com/ensan-hcl/azooKey", + "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": 0.3886175866428491, + "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", @@ -1156,19 +1182,6 @@ ], "model_or_dataset": "dataset" }, - { - "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": 33425, - "source": "Hugging Face", - "score": 0.3817981746465758, - "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": "pdf-translator translates English PDF files into Japanese, preserving the original layout.", "url": "https://github.com/discus0434/pdf-translator", @@ -1183,19 +1196,6 @@ ], "model_or_dataset": 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": 33054, - "source": "Hugging Face", - "score": 0.37637862244264814, - "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": "Code for evaluating Japanese pretrained models provided by NTT Ltd.", "url": "https://github.com/nttcslab/japanese-dialog-transformers", @@ -1210,6 +1210,19 @@ ], "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": 0.3584502982979477, + "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", @@ -1224,6 +1237,32 @@ ], "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": 0.34340411970963125, + "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": 0.3408264875211946, + "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", @@ -1259,6 +1298,19 @@ ], "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": 0.33688510807027106, + "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", @@ -1273,32 +1325,6 @@ ], "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": 29698, - "source": "Hugging Face", - "score": 0.3273543173311085, - "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": "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": 29634, - "source": "Hugging Face", - "score": 0.3264194080560374, - "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": "A lexicon for Sudachi", "url": "https://github.com/WorksApplications/SudachiDict", @@ -1341,6 +1367,19 @@ ], "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": 0.31364145967337975, + "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", @@ -1355,19 +1394,6 @@ ], "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": 28053, - "source": "Hugging Face", - "score": 0.3033242273702972, - "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": "Building AI-based conversational avatars lightning fast", "url": "https://github.com/uezo/aiavatarkit", @@ -1397,17 +1423,17 @@ "model_or_dataset": 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": 27313, + "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": 0.2925143388772879, - "first_commit": "2021-03-05 03:37:30", - "latest_commit": "2021-09-23 15:45:31", + "score": 0.2909073432207144, + "first_commit": "2024-06-25 06:32:13", + "latest_commit": "2024-06-26 02:56:23", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 8.03 }, { "description": "Yet another Japanese IME for IBus/Linux", @@ -1453,32 +1479,6 @@ ], "model_or_dataset": 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": 24436, - "source": "Hugging Face", - "score": 0.2504872453713583, - "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 - }, - { - "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": 24169, - "source": "Hugging Face", - "score": 0.24658692073942118, - "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": "Japanese postal code data.", "url": "https://github.com/polm/posuto", @@ -1491,19 +1491,6 @@ "languages": [], "model_or_dataset": null }, - { - "description": "Please feel free to open an issue or pull request.", - "url": "https://huggingface.co./datasets/shunk031/JGLUE", - "project_name": "JGLUE", - "downloads": 24097, - "source": "Hugging Face", - "score": 0.24553514780496621, - "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": "The Kyoto Text Analysis Toolkit for word segmentation and pronunciation estimation, etc.", "url": "https://github.com/neubig/kytea", @@ -1521,14 +1508,27 @@ "model_or_dataset": null }, { - "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": 23780, + "description": "Please feel free to open an issue or pull request.", + "url": "https://huggingface.co./datasets/shunk031/JGLUE", + "project_name": "JGLUE", + "downloads": 23333, "source": "Hugging Face", - "score": 0.24090442530187978, - "first_commit": "2023-03-19 14:44:42", - "latest_commit": "2023-03-20 01:32:34", + "score": 0.24091326775196564, + "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": 0.22388890632136055, + "first_commit": "2021-03-05 03:37:30", + "latest_commit": "2021-09-23 15:45:31", "languages": [], "model_or_dataset": "model", "model_size": null @@ -1562,6 +1562,19 @@ ], "model_or_dataset": 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": 0.221805819843496, + "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 + }, { "description": "English-Japanese Dictionary data (Public Domain) EJDict-hand", "url": "https://github.com/kujirahand/EJDict", @@ -1576,6 +1589,32 @@ ], "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": 0.20735909060132762, + "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": 0.20473649971192984, + "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", @@ -1633,32 +1672,6 @@ ], "model_or_dataset": null }, - { - "description": "FuguMT", - "url": "https://huggingface.co./staka/fugumt-en-ja", - "project_name": "fugumt-en-ja", - "downloads": 19468, - "source": "Hugging Face", - "score": 0.1779149128939659, - "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": "FuguMT", - "url": "https://huggingface.co./staka/fugumt-ja-en", - "project_name": "fugumt-ja-en", - "downloads": 18959, - "source": "Hugging Face", - "score": 0.17047946256566626, - "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": "Topologically ordered lists of kanji for effective learning", "url": "https://github.com/scriptin/topokanji", @@ -1716,6 +1729,19 @@ ], "model_or_dataset": "dataset" }, + { + "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, + "source": "Hugging Face", + "score": 0.1491525590903504, + "first_commit": "2024-06-26 04:11:25", + "latest_commit": "2024-07-06 15:02:39", + "languages": [], + "model_or_dataset": "model", + "model_size": 8.03 + }, { "description": "JMdict and JMnedict in JSON format", "url": "https://github.com/scriptin/jmdict-simplified", @@ -1732,19 +1758,6 @@ ], "model_or_dataset": "dataset" }, - { - "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": 16768, - "source": "Hugging Face", - "score": 0.13847342785190483, - "first_commit": "2024-06-26 04:11:25", - "latest_commit": "2024-07-06 15:02:39", - "languages": [], - "model_or_dataset": "model", - "model_size": 8.03 - }, { "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", @@ -1783,6 +1796,19 @@ ], "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": 0.12384081044924831, + "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", @@ -1813,17 +1839,30 @@ "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": 15383, + "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, "source": "Hugging Face", - "score": 0.1182414068210698, - "first_commit": "2022-10-15 05:09:36", - "latest_commit": "2022-10-21 10:57:40", + "score": 0.11669237699643263, + "first_commit": "2023-10-16 08:15:14", + "latest_commit": "2024-01-25 08:05:12", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 7.24 + }, + { + "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, + "source": "Hugging Face", + "score": 0.10575242642923043, + "first_commit": "2023-12-25 22:43:54", + "latest_commit": "2024-01-27 15:30:00", + "languages": [], + "model_or_dataset": "model", + "model_size": 0.111 }, { "description": "Japanese negative positive classification.日本語文書のネガポジを判定。", @@ -1872,9 +1911,9 @@ "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": 14157, + "downloads": 14026, "source": "Hugging Face", - "score": 0.10033205102048948, + "score": 0.10143639113696436, "first_commit": "2021-03-28 10:54:32", "latest_commit": "2022-07-31 08:20:41", "languages": [], @@ -1907,6 +1946,19 @@ "languages": [], "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": 0.08492156165058513, + "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": "Japanese sentiment analyzer implemented in Python.", "url": "https://github.com/Hironsan/asari", @@ -1935,19 +1987,6 @@ ], "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": 12623, - "source": "Hugging Face", - "score": 0.07792344433362958, - "first_commit": "2023-10-16 08:15:14", - "latest_commit": "2024-01-25 08:05:12", - "languages": [], - "model_or_dataset": "model", - "model_size": 7.24 - }, { "description": "A fast converter between Japanese hankaku and zenkaku characters", "url": "https://github.com/studio-ousia/mojimoji", @@ -1988,71 +2027,19 @@ ], "model_or_dataset": "model" }, - { - "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": 12465, - "source": "Hugging Face", - "score": 0.07561538706079786, - "first_commit": "2023-12-25 22:43:54", - "latest_commit": "2024-01-27 15:30:00", - "languages": [], - "model_or_dataset": "model", - "model_size": 0.111 - }, - { - "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": 12461, - "source": "Hugging Face", - "score": 0.07555695523110592, - "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": "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": 12435, + "downloads": 11735, "source": "Hugging Face", - "score": 0.07517714833810829, + "score": 0.06710292983633387, "first_commit": "2024-05-10 16:43:49", "latest_commit": "2024-05-12 06:06:51", "languages": [], "model_or_dataset": "model", "model_size": 13.4 }, - { - "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": 12158, - "source": "Hugging Face", - "score": 0.07113074413194129, - "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": "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": 11766, - "source": "Hugging Face", - "score": 0.06540442482213094, - "first_commit": "2023-12-07 02:18:36", - "latest_commit": "2024-06-29 08:56:26", - "languages": [], - "model_or_dataset": "model", - "model_size": 6.83 - }, { "description": "A set of metrics for feature selection from text data", "url": "https://github.com/Kensuke-Mitsuzawa/JapaneseTokenizers", @@ -2083,19 +2070,6 @@ ], "model_or_dataset": "dataset" }, - { - "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": 10863, - "source": "Hugging Face", - "score": 0.05221343926917495, - "first_commit": "2022-11-07 14:25:53", - "latest_commit": "2022-11-09 11:18:56", - "languages": [], - "model_or_dataset": "model", - "model_size": null - }, { "description": "自然言語で書かれた時間情報表現を抽出/規格化するルールベースの解析器", "url": "https://github.com/yagays/ja-timex", @@ -2110,32 +2084,6 @@ ], "model_or_dataset": null }, - { - "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": 10471, - "source": "Hugging Face", - "score": 0.046487119959364595, - "first_commit": "2024-02-22 04:44:42", - "latest_commit": "2024-05-03 18:51:12", - "languages": [], - "model_or_dataset": "model", - "model_size": 46.7 - }, - { - "description": "[Llama-3.1-8B-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./HODACHI/Llama-3.1-8B-EZO-1.1-it", - "project_name": "Llama-3.1-8B-EZO-1.1-it", - "downloads": 10197, - "source": "Hugging Face", - "score": 0.04248453962546654, - "first_commit": "2024-07-28 23:24:59", - "latest_commit": "2024-08-04 06:16:48", - "languages": [], - "model_or_dataset": "model", - "model_size": 8.03 - }, { "description": "A JSON kanji dataset with updated JLPT levels and WaniKani information", "url": "https://github.com/davidluzgouveia/kanji-data", @@ -2167,9 +2115,9 @@ "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": 10094, + "downloads": 9624, "source": "Hugging Face", - "score": 0.04097992001089903, + "score": 0.03546699059336968, "first_commit": "2022-11-15 06:28:39", "latest_commit": "2024-01-20 14:45:14", "languages": [], @@ -2206,13 +2154,26 @@ ], "model_or_dataset": "dataset" }, + { + "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, + "source": "Hugging Face", + "score": 0.032020156853018296, + "first_commit": "2022-11-07 14:25:53", + "latest_commit": "2022-11-09 11:18:56", + "languages": [], + "model_or_dataset": "model", + "model_size": 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": 9380, + "downloads": 9324, "source": "Hugging Face", - "score": 0.030549838410887317, + "score": 0.030971120497259183, "first_commit": "2023-10-21 13:24:28", "latest_commit": "2024-07-19 03:08:14", "languages": [], @@ -2233,6 +2194,19 @@ ], "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, + "source": "Hugging Face", + "score": 0.021379930958890125, + "first_commit": "2023-05-19 00:33:09", + "latest_commit": "2023-05-19 00:39:44", + "languages": [], + "model_or_dataset": "model", + "model_size": null + }, { "description": "Kanji usage frequency data collected from various sources", "url": "https://github.com/scriptin/kanji-frequency", @@ -2248,6 +2222,19 @@ ], "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": 0.018697395134877528, + "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", @@ -2265,19 +2252,6 @@ ], "model_or_dataset": null }, - { - "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": 8009, - "source": "Hugging Face", - "score": 0.010522328783974074, - "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": "A unified language analyzer for Japanese", "url": "https://github.com/ku-nlp/kwja", @@ -2293,25 +2267,38 @@ "model_or_dataset": null }, { - "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": 7916, + "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, "source": "Hugging Face", - "score": 0.009163788743636414, - "first_commit": "2023-06-01 14:29:06", - "latest_commit": "2023-07-24 06:49:13", + "score": 0.007262898857103167, + "first_commit": "2024-05-20 06:36:00", + "latest_commit": "2024-07-01 06:24:48", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 8.03 + }, + { + "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, + "source": "Hugging Face", + "score": 0.004670280435012782, + "first_commit": "2024-02-22 04:44:42", + "latest_commit": "2024-05-03 18:51:12", + "languages": [], + "model_or_dataset": "model", + "model_size": 46.7 }, { "description": "CyberAgentLM2-7B (CALM2-7B)", "url": "https://huggingface.co./cyberagent/calm2-7b", "project_name": "calm2-7b", - "downloads": 7629, + "downloads": 7555, "source": "Hugging Face", - "score": 0.00497130496323955, + "score": 0.004460473163860958, "first_commit": "2023-11-01 07:24:59", "latest_commit": "2023-11-02 05:46:18", "languages": [], @@ -2348,9 +2335,9 @@ "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": 7226, + "downloads": 7271, "source": "Hugging Face", - "score": -0.0009157018782236427, + "score": 0.00020438280620968923, "first_commit": "2023-08-29 15:31:01", "latest_commit": "2023-11-16 14:27:48", "languages": [], @@ -2401,71 +2388,19 @@ ], "model_or_dataset": "model" }, - { - "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": 7093, - "source": "Hugging Face", - "score": -0.002858560215480726, - "first_commit": "2024-07-17 09:53:20", - "latest_commit": "2024-07-17 10:03:02", - "languages": [], - "model_or_dataset": "dataset", - "model_size": 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-v0.1", - "project_name": "Swallow-7b-instruct-v0.1", - "downloads": 6894, - "source": "Hugging Face", - "score": -0.005765543742654858, - "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": "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": 6847, - "source": "Hugging Face", - "score": -0.006452117741535181, - "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": "【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": 6648, + "downloads": 6546, "source": "Hugging Face", - "score": -0.009359101268709313, + "score": -0.010660636592724008, "first_commit": "2023-04-18 12:48:48", "latest_commit": "2023-06-09 23:08:31", "languages": [], "model_or_dataset": "model", "model_size": null }, - { - "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": 6584, - "source": "Hugging Face", - "score": -0.010294010543780392, - "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 - }, { "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", "url": "https://github.com/HojiChar/HojiChar", @@ -2495,43 +2430,30 @@ "model_or_dataset": null }, { - "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": 6405, + "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, "source": "Hugging Face", - "score": -0.01290883492249481, - "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 - }, - { - "description": "Llama3 Swallow", - "url": "https://huggingface.co./tokyotech-llm/Llama-3-Swallow-8B-v0.1", - "project_name": "Llama-3-Swallow-8B-v0.1", - "downloads": 6070, - "source": "Hugging Face", - "score": -0.017802500659194982, - "first_commit": "2024-05-20 06:36:00", - "latest_commit": "2024-07-01 06:24:48", + "score": -0.01185953528502014, + "first_commit": "2021-06-11 02:56:39", + "latest_commit": "2024-07-20 07:44:40", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": 0.111 }, { - "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": 6011, + "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, "source": "Hugging Face", - "score": -0.018664370147151135, - "first_commit": "2021-12-05 11:31:57", - "latest_commit": "2021-12-05 21:12:12", + "score": -0.01939761081283207, + "first_commit": "2023-05-17 02:16:45", + "latest_commit": "2024-07-20 07:55:19", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 3.76 }, { "description": "A fast LSTM Language Model for large vocabulary language like Japanese and Chinese", @@ -2576,43 +2498,30 @@ "model_or_dataset": "dataset" }, { - "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": 5888, + "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, "source": "Hugging Face", - "score": -0.02046114891017836, - "first_commit": "2023-12-25 16:10:32", - "latest_commit": "2023-12-27 01:41:15", + "score": -0.020446647168591188, + "first_commit": "2024-07-17 09:53:20", + "latest_commit": "2024-07-17 10:03:02", "languages": [], - "model_or_dataset": "model", + "model_or_dataset": "dataset", "model_size": 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": 5858, - "source": "Hugging Face", - "score": -0.020899387632867927, - "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": "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": 5728, + "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, "source": "Hugging Face", - "score": -0.022798422097856055, - "first_commit": "2023-05-17 02:16:45", - "latest_commit": "2024-07-20 07:55:19", + "score": -0.02137579365512069, + "first_commit": "2021-12-05 11:31:57", + "latest_commit": "2021-12-05 21:12:12", "languages": [], "model_or_dataset": "model", - "model_size": 3.76 + "model_size": null }, { "description": "Yet Another Japanese Dependency Structure Analyzer", @@ -2647,6 +2556,45 @@ ], "model_or_dataset": "dataset" }, + { + "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, + "source": "Hugging Face", + "score": -0.023114196758950083, + "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 + }, + { + "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, + "source": "Hugging Face", + "score": -0.02519728323681461, + "first_commit": "2023-04-06 16:43:51", + "latest_commit": "2023-04-07 17:27:53", + "languages": [], + "model_or_dataset": "model", + "model_size": 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, + "source": "Hugging Face", + "score": -0.028164557500247538, + "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 + }, { "description": "JaQuAD: Japanese Question Answering Dataset for Machine Reading Comprehension (2022, Skelter Labs)", "url": "https://github.com/SkelterLabsInc/JaQuAD", @@ -2661,19 +2609,6 @@ ], "model_or_dataset": "dataset" }, - { - "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": 5240, - "source": "Hugging Face", - "score": -0.029927105320273022, - "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 - }, { "description": "Yet another mecab wrapper for nodejs", "url": "https://github.com/golbin/node-mecab-ya", @@ -2689,17 +2624,56 @@ "model_or_dataset": null }, { - "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": 4749, + "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": -0.037099612414958946, - "first_commit": "2023-09-25 12:47:05", - "latest_commit": "2023-10-10 15:24:54", + "score": -0.034458775634802236, + "first_commit": "2021-04-05 02:01:26", + "latest_commit": "2024-07-20 07:50:47", "languages": [], "model_or_dataset": "model", - "model_size": 13.1 + "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": -0.03511816991556511, + "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": -0.0387148659924535, + "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, + "source": "Hugging Face", + "score": -0.03908952183379604, + "first_commit": "2023-05-15 07:53:34", + "latest_commit": "2023-05-18 01:12:08", + "languages": [], + "model_or_dataset": "model", + "model_size": null }, { "description": "An example usage of JParaCrawl pre-trained Neural Machine Translation (NMT) models.", @@ -2749,6 +2723,45 @@ ], "model_or_dataset": "dataset" }, + { + "description": "bert-large-japanese-upos Model Description", + "url": "https://huggingface.co./KoichiYasuoka/bert-large-japanese-upos", + "project_name": "bert-large-japanese-upos", + "downloads": 4539, + "source": "Hugging Face", + "score": -0.040738007535703225, + "first_commit": "2021-08-19 10:39:38", + "latest_commit": "2022-09-18 19:43:53", + "languages": [], + "model_or_dataset": "model", + "model_size": 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": 4455, + "source": "Hugging Face", + "score": -0.04199685116261417, + "first_commit": "2024-05-14 05:37:53", + "latest_commit": "2024-05-14 06:42:38", + "languages": [], + "model_or_dataset": "model", + "model_size": 8.03 + }, + { + "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, + "source": "Hugging Face", + "score": -0.04318076362125659, + "first_commit": "2023-12-25 16:10:32", + "latest_commit": "2023-12-27 01:41:15", + "languages": [], + "model_or_dataset": "model", + "model_size": null + }, { "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", "url": "https://github.com/dahlia/cjk-compsci-terms", @@ -2791,64 +2804,38 @@ "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-13b-instruct-hf", - "project_name": "Swallow-13b-instruct-hf", - "downloads": 4238, + "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, "source": "Hugging Face", - "score": -0.044564278658104584, - "first_commit": "2023-12-07 03:10:55", - "latest_commit": "2024-06-29 08:56:29", + "score": -0.04376522673375096, + "first_commit": "2024-01-06 03:33:53", + "latest_commit": "2024-03-20 07:21:25", "languages": [], "model_or_dataset": "model", "model_size": 13.1 }, - { - "description": "japanese-gpt2-xsmall", - "url": "https://huggingface.co./rinna/japanese-gpt2-xsmall", - "project_name": "japanese-gpt2-xsmall", - "downloads": 4068, - "source": "Hugging Face", - "score": -0.047047631420012136, - "first_commit": "2021-07-26 02:52:54", - "latest_commit": "2024-07-20 07:48:11", - "languages": [], - "model_or_dataset": "model", - "model_size": 0.0437 - }, { "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": 4009, + "downloads": 4323, "source": "Hugging Face", - "score": -0.047909500907968285, + "score": -0.04397503400490278, "first_commit": "2024-07-26 01:30:21", "latest_commit": "2024-07-26 02:30:17", "languages": [], "model_or_dataset": "model", "model_size": 70.6 }, - { - "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": 3996, - "source": "Hugging Face", - "score": -0.04809940435446709, - "first_commit": "2024-05-13 09:31:40", - "latest_commit": "2024-05-15 06:18:10", - "languages": [], - "model_or_dataset": "model", - "model_size": 96.2 - }, { "description": "Llama3 Swallow", "url": "https://huggingface.co./tokyotech-llm/Llama-3-Swallow-70B-v0.1", "project_name": "Llama-3-Swallow-70B-v0.1", - "downloads": 3907, + "downloads": 4296, "source": "Hugging Face", - "score": -0.04939951256511281, + "score": -0.044379662313552726, "first_commit": "2024-06-14 05:56:33", "latest_commit": "2024-07-01 06:24:32", "languages": [], @@ -2856,47 +2843,73 @@ "model_size": 70.6 }, { - "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": 3775, + "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, "source": "Hugging Face", - "score": -0.05132776294494691, - "first_commit": "2024-07-01 14:21:29", - "latest_commit": "2024-07-07 05:04:16", + "score": -0.0459682030808451, + "first_commit": "2024-01-30 01:49:12", + "latest_commit": "2024-02-14 01:32:45", "languages": [], "model_or_dataset": "model", - "model_size": 70.6 + "model_size": 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": 3774, + "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, "source": "Hugging Face", - "score": -0.05134237090236989, - "first_commit": "2024-05-01 07:53:46", - "latest_commit": "2024-07-25 05:14:42", + "score": -0.046522693726032065, + "first_commit": "2023-08-28 12:38:34", + "latest_commit": "2023-08-29 03:45:51", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 - }, - { - "description": "Asynchronous japanese morphological analyser using MeCab.", - "url": "https://github.com/hecomi/node-mecab-async", - "project_name": "node-mecab-async", - "stargazers_count": 98, - "source": "GitHub", - "score": -0.05211473518965404, - "first_commit": "2012-10-29 09:32:49", - "latest_commit": "2017-10-29 14:56:11", - "languages": [ - "JavaScript" - ], - "model_or_dataset": null + "model_size": null }, { - "description": "japanese android/cli/web dictionary based on jmdict/kanjidic — 日本語　辞典　和英辞典　漢英字典　和独辞典　和蘭辞典", + "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, + "source": "Hugging Face", + "score": -0.04722704670775604, + "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": -0.05023927967215007, + "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 + }, + { + "description": "Asynchronous japanese morphological analyser using MeCab.", + "url": "https://github.com/hecomi/node-mecab-async", + "project_name": "node-mecab-async", + "stargazers_count": 98, + "source": "GitHub", + "score": -0.05211473518965404, + "first_commit": "2012-10-29 09:32:49", + "latest_commit": "2017-10-29 14:56:11", + "languages": [ + "JavaScript" + ], + "model_or_dataset": null + }, + { + "description": "japanese android/cli/web dictionary based on jmdict/kanjidic — 日本語　辞典　和英辞典　漢英字典　和独辞典　和蘭辞典", "url": "https://github.com/obfusk/jiten", "project_name": "jiten", "stargazers_count": 98, @@ -2915,9 +2928,9 @@ "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": 3704, + "downloads": 3665, "source": "Hugging Face", - "score": -0.05236492792197889, + "score": -0.05383597574903847, "first_commit": "2023-09-03 17:32:44", "latest_commit": "2023-09-11 01:10:36", "languages": [], @@ -2925,155 +2938,77 @@ "model_size": 6.05 }, { - "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": 3685, - "source": "Hugging Face", - "score": -0.05264247911301561, - "first_commit": "2024-07-23 17:25:23", - "latest_commit": "2024-07-24 21:04:27", - "languages": [], - "model_or_dataset": "model", - "model_size": 70.6 - }, - { - "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": 3655, + "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, "source": "Hugging Face", - "score": -0.05308071783570518, - "first_commit": "2023-08-28 12:38:34", - "latest_commit": "2023-08-29 03:45:51", + "score": -0.05422561782403471, + "first_commit": "2023-12-07 03:10:55", + "latest_commit": "2024-06-29 08:56:29", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 13.1 }, { - "description": "gpt-neox-japanese-2.7b", - "url": "https://huggingface.co./abeja/gpt-neox-japanese-2.7b", - "project_name": "gpt-neox-japanese-2.7b", - "downloads": 3469, + "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, "source": "Hugging Face", - 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"model_size": null + "model_size": 8.03 }, { - "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": 3405, + "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, "source": "Hugging Face", - "score": -0.05673270719145158, - "first_commit": "2022-09-26 07:46:38", - "latest_commit": "2022-09-26 12:13:44", + "score": -0.05783730013457681, + "first_commit": "2023-11-25 10:09:49", + "latest_commit": "2024-06-29 08:56:17", "languages": [], "model_or_dataset": "model", - "model_size": null + "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": 3228, + "downloads": 3249, "source": "Hugging Face", - "score": -0.059318315655320024, + "score": -0.060070248948978354, "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": "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": 3220, - "source": "Hugging Face", - "score": -0.05943517931470391, - "first_commit": "2023-08-28 13:36:19", - "latest_commit": "2023-08-29 03:47:09", - "languages": [], - "model_or_dataset": "model", - "model_size": null - }, - { - "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": 3164, - "source": "Hugging Face", - "score": -0.060253224930391105, - "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": "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": 3152, - "source": "Hugging Face", - "score": -0.06042852041946693, - "first_commit": "2023-05-15 07:53:34", - "latest_commit": "2023-05-18 01:12:08", - "languages": [], - "model_or_dataset": "model", - "model_size": null - }, - { - "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": 3134, - "source": "Hugging Face", - "score": -0.060691463653080674, - "first_commit": "2024-01-06 03:33:53", - "latest_commit": "2024-03-20 07:21:25", - "languages": [], - "model_or_dataset": "model", - "model_size": 13.1 - }, - { - "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": 3112, - "source": "Hugging Face", - "score": -0.06101283871638635, - "first_commit": "2023-05-19 00:33:09", - "latest_commit": "2023-05-19 00:39:44", - "languages": [], - "model_or_dataset": "model", - "model_size": null - }, { "description": "Japanese SimCSE (BERT-base)", "url": "https://huggingface.co./pkshatech/simcse-ja-bert-base-clcmlp", "project_name": "simcse-ja-bert-base-clcmlp", - "downloads": 2972, + "downloads": 3218, "source": "Hugging Face", - "score": -0.06305795275560434, + "score": -0.060534822192243105, "first_commit": "2022-12-26 02:52:03", "latest_commit": "2023-01-27 06:44:23", "languages": [], @@ -3081,56 +3016,30 @@ "model_size": null }, { - "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": 2962, - "source": "Hugging Face", - "score": -0.0632040323298342, - "first_commit": "2024-04-29 14:53:48", - "latest_commit": "2024-05-08 15:34:40", - "languages": [], - "model_or_dataset": "model", - "model_size": 0.756 - }, - { - "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": 2962, - "source": "Hugging Face", - "score": -0.0632040323298342, - "first_commit": "2024-04-23 13:55:17", - "latest_commit": "2024-04-23 14:54:23", - "languages": [], - "model_or_dataset": "model", - "model_size": 8.03 - }, - { - "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": 2946, + "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, "source": "Hugging Face", - "score": -0.06343775964860196, - "first_commit": "2023-04-28 07:39:44", - "latest_commit": "2024-07-20 08:55:38", + "score": -0.06216832166049659, + "first_commit": "2024-04-23 05:08:21", + "latest_commit": "2024-04-28 06:08:55", "languages": [], "model_or_dataset": "model", - "model_size": 0.09440000000000001 + "model_size": 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-hf", - "project_name": "Swallow-7b-hf", - "downloads": 2921, + "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, "source": "Hugging Face", - "score": -0.0638029585841766, - "first_commit": "2023-11-25 10:09:49", - "latest_commit": "2024-06-29 08:56:17", + "score": -0.06257294996914653, + "first_commit": "2023-05-15 06:40:15", + "latest_commit": "2023-05-18 01:10:33", "languages": [], "model_or_dataset": "model", - "model_size": 6.83 + "model_size": null }, { "description": "Japanese Company Lexicon (JCLdic)", @@ -3161,120 +3070,107 @@ "model_or_dataset": "dataset" }, { - "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": 2727, + "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, "source": "Hugging Face", - "score": -0.0666369023242358, - "first_commit": "2024-04-15 05:37:05", - "latest_commit": "2024-04-18 14:28:20", + "score": -0.06420644943740002, + "first_commit": "2024-07-01 14:21:29", + "latest_commit": "2024-07-07 05:04:16", "languages": [], "model_or_dataset": "model", - "model_size": 8.54 - }, - { - "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": 70.6 }, { - "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": 2648, + "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, "source": "Hugging Face", - "score": -0.06779093096065167, - "first_commit": "2023-05-15 06:40:15", - "latest_commit": "2023-05-18 01:10:33", + "score": -0.06558518293354057, + "first_commit": "2023-08-28 13:36:19", + "latest_commit": "2023-08-29 03:47:09", "languages": [], "model_or_dataset": "model", "model_size": 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": 2630, + "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, "source": "Hugging Face", - "score": -0.06805387419426541, - "first_commit": "2024-05-14 05:37:53", - "latest_commit": "2024-05-14 06:42:38", + "score": -0.06583994890565349, + "first_commit": "2024-04-23 13:55:17", + "latest_commit": "2024-04-23 14:54:23", "languages": [], "model_or_dataset": "model", "model_size": 8.03 }, { - "description": "bert-base-japanese-upos Model Description", - "url": "https://huggingface.co./KoichiYasuoka/bert-base-japanese-upos", - "project_name": "bert-base-japanese-upos", - "downloads": 2629, + "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, "source": "Hugging Face", - "score": -0.0680684821516884, - "first_commit": "2021-08-26 23:02:50", - "latest_commit": "2022-09-18 19:43:26", + "score": -0.06631950838257195, + "first_commit": "2024-06-28 16:17:32", + "latest_commit": "2024-07-19 08:08:59", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 70.6 }, { - "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": 2588, + "description": "japanese-gpt2-xsmall", + "url": "https://huggingface.co./rinna/japanese-gpt2-xsmall", + "project_name": "japanese-gpt2-xsmall", + "downloads": 2821, "source": "Hugging Face", - "score": -0.0686674084060308, - "first_commit": "2024-03-21 07:08:05", - "latest_commit": "2024-03-22 09:36:44", + "score": -0.06648435695276267, + "first_commit": "2021-07-26 02:52:54", + "latest_commit": "2024-07-20 07:48:11", "languages": [], "model_or_dataset": "model", - "model_size": 0.464 + "model_size": 0.0437 }, { - "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": 2557, - "source": "Hugging Face", - "score": -0.06912025508614336, - "first_commit": "2024-06-25 04:31:31", - "latest_commit": "2024-06-26 02:56:39", + "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": "model", - "model_size": 1.98 + "model_or_dataset": null }, { - "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": 2537, + "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, "source": "Hugging Face", - "score": -0.06941241423460306, - "first_commit": "2020-04-28 21:34:13", - "latest_commit": "2024-02-22 00:58:18", + "score": -0.066769095392183, + "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 }, { - "description": "Chatbot Arena Conversationsの質問文から、aixsatoshi/Swallow-MX-8x7b-NVE-chatvector-Mixtral-instruct-v2を使用して応答文を作成しました 質問文は、以下のモデルのPrompt部分を使用しました Chatbot Arena Conversations JA (calm2) 以下引用です。 ", - "url": "https://huggingface.co./datasets/aixsatoshi/Swallow-MX-chatbot-DPO", - "project_name": "Swallow-MX-chatbot-DPO", - "downloads": 2533, + "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, "source": "Hugging Face", - "score": -0.06947084606429502, - "first_commit": "2024-03-31 06:42:39", - "latest_commit": "2024-03-31 08:16:43", + "score": -0.06795300785082542, + "first_commit": "2023-03-13 12:40:08", + "latest_commit": "2023-05-15 12:58:08", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": 0.41400000000000003 }, { "description": "50k English-Japanese Parallel Corpus for Machine Translation Benchmark.", @@ -3289,82 +3185,95 @@ "model_or_dataset": "dataset" }, { - "description": "bert-large-japanese-upos Model Description", - "url": "https://huggingface.co./KoichiYasuoka/bert-large-japanese-upos", - "project_name": "bert-large-japanese-upos", - "downloads": 2496, + "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, "source": "Hugging Face", - "score": -0.07001134048894547, - "first_commit": "2021-08-19 10:39:38", - "latest_commit": "2022-09-18 19:43:53", + "score": -0.0704557088709936, + "first_commit": "2024-06-25 04:31:31", + "latest_commit": "2024-06-26 02:56:39", + "languages": [], + "model_or_dataset": "model", + "model_size": 1.98 + }, + { + "description": "bert-base-japanese-upos Model Description", + "url": "https://huggingface.co./KoichiYasuoka/bert-base-japanese-upos", + "project_name": "bert-base-japanese-upos", + "downloads": 2490, + "source": "Hugging Face", + "score": -0.07144480029213791, + "first_commit": "2021-08-26 23:02:50", + "latest_commit": "2022-09-18 19:43:26", "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": 2472, + "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": -0.07036193146709713, - "first_commit": "2024-07-15 15:42:39", - "latest_commit": "2024-07-15 16:20:33", + "score": -0.07147477275944532, + "first_commit": "2024-04-15 05:37:05", + "latest_commit": "2024-04-18 14:28:20", "languages": [], "model_or_dataset": "model", - "model_size": 9.24 + "model_size": 8.54 }, { - "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": 2456, + "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": -0.0705956587858649, - "first_commit": "2023-12-07 02:08:59", - "latest_commit": "2024-07-06 15:18:11", + "score": -0.07157967639502122, + "first_commit": "2024-07-31 11:06:36", + "latest_commit": "2024-07-31 12:47:45", "languages": [], "model_or_dataset": "model", - "model_size": 6.74 + "model_size": 8.03 }, { - "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": 2385, + "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": -0.07163282376289688, - "first_commit": "2023-04-06 16:43:51", - "latest_commit": "2023-04-07 17:27:53", + "score": -0.07214915327386189, + "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": "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": 2338, + "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": -0.0723193977617772, - "first_commit": "2023-05-30 01:50:48", - "latest_commit": "2024-07-20 07:58:49", + "score": -0.07217912574116929, + "first_commit": "2024-07-15 15:42:39", + "latest_commit": "2024-07-15 16:20:33", "languages": [], "model_or_dataset": "model", - "model_size": 3.76 + "model_size": 9.24 }, { - "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": 2321, + "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": -0.07256773303796796, - "first_commit": "2023-01-05 08:48:29", - "latest_commit": "2023-03-23 07:31:19", + "score": -0.07237394677866742, + "first_commit": "2023-10-30 07:43:36", + "latest_commit": "2023-12-19 06:43:01", "languages": [], "model_or_dataset": "model", - "model_size": 0.0101 + "model_size": 6.74 }, { "description": "natto-py combines the Python programming language with MeCab, the part-of-speech and morphological analyzer for the Japanese language.", @@ -3412,90 +3321,51 @@ "model_or_dataset": null }, { - "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": 2318, - "source": "Hugging Face", - "score": -0.07261155691023691, - "first_commit": "2024-04-14 08:53:48", - "latest_commit": "2024-05-08 12:40:53", - "languages": [], - "model_or_dataset": "model", - "model_size": 0.756 - }, - { - "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": 2285, - "source": "Hugging Face", - "score": -0.07309361950519544, - "first_commit": "2023-03-13 12:40:08", - "latest_commit": "2023-05-15 12:58:08", - "languages": [], - "model_or_dataset": "model", - "model_size": 0.41400000000000003 - }, - { - "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": 2273, - "source": "Hugging Face", - "score": -0.07326891499427127, - "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 - }, - { - "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": 2264, + "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": -0.07340038661107813, - "first_commit": "2023-11-08 16:56:34", - "latest_commit": "2023-11-08 17:02:17", + "score": -0.07276358885366366, + "first_commit": "2022-09-26 07:46:38", + "latest_commit": "2022-09-26 12:13:44", "languages": [], "model_or_dataset": "model", - "model_size": 13.2 + "model_size": null }, { - "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": 2244, + "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": -0.07369254575953785, - "first_commit": "2024-04-24 01:36:22", - "latest_commit": "2024-05-10 03:07:04", + "score": -0.07370772157384686, + "first_commit": "2023-01-05 08:48:29", + "latest_commit": "2023-03-23 07:31:19", "languages": [], "model_or_dataset": "model", - "model_size": 0.197 + "model_size": 0.0101 }, { - "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": 2216, + "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": -0.07410156856738144, - "first_commit": "2023-05-28 08:19:43", - "latest_commit": "2023-07-25 15:04:39", + "score": -0.07378265274211537, + "first_commit": "2024-03-21 07:08:05", + "latest_commit": "2024-03-22 09:36:44", "languages": [], "model_or_dataset": "model", - "model_size": null + "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": 2209, + "downloads": 2272, "source": "Hugging Face", - "score": -0.07420382426934234, + "score": -0.07471179922864488, "first_commit": "2023-10-21 06:53:06", "latest_commit": "2024-05-17 06:15:56", "languages": [], @@ -3503,53 +3373,27 @@ "model_size": 13.2 }, { - "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-instruct-v0.1", - "project_name": "Swallow-13b-instruct-v0.1", - "downloads": 2208, - "source": "Hugging Face", - "score": -0.07421843222676533, - "first_commit": "2024-03-04 11:30:28", - "latest_commit": "2024-06-29 09:00:15", - "languages": [], - "model_or_dataset": "model", - "model_size": 13.1 - }, - { - "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": 2160, - "source": "Hugging Face", - "score": -0.07491961418306864, - "first_commit": "2021-12-20 05:12:06", - "latest_commit": "2022-10-21 14:46:36", - "languages": [], - "model_or_dataset": "model", - "model_size": null - }, - { - "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": 2156, + "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": -0.07497804601276058, - "first_commit": "2024-04-24 13:50:51", - "latest_commit": "2024-04-24 14:24:09", + "score": -0.07508645506998742, + "first_commit": "2023-05-30 01:50:48", + "latest_commit": "2024-07-20 07:58:49", "languages": [], "model_or_dataset": "model", - "model_size": 3.82 + "model_size": 3.76 }, { - "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": 2122, + "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, "source": "Hugging Face", - "score": -0.07547471656514208, - "first_commit": "2023-11-25 02:13:04", - "latest_commit": "2024-06-29 08:56:23", + "score": -0.07544612467767625, + "first_commit": "2023-07-03 08:29:37", + "latest_commit": "2023-07-03 18:42:31", "languages": [], "model_or_dataset": "model", "model_size": null @@ -3583,53 +3427,40 @@ "model_or_dataset": "dataset" }, { - "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": 2113, + "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, "source": "Hugging Face", - "score": -0.07560618818194896, - "first_commit": "2023-08-28 09:01:44", - "latest_commit": "2023-12-27 18:17:36", + "score": -0.0758507529863262, + "first_commit": "2022-08-29 02:15:44", + "latest_commit": "2023-04-10 05:12:30", "languages": [], - "model_or_dataset": "dataset", + "model_or_dataset": "model", "model_size": null }, { - "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": 2108, - "source": "Hugging Face", - "score": -0.07567922796906389, - "first_commit": "2023-10-30 15:12:17", - "latest_commit": "2024-07-22 08:01:22", - "languages": [], - "model_or_dataset": "model", - "model_size": 6.74 - }, - { - "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": 2038, + "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, "source": "Hugging Face", - "score": -0.07670178498867287, - "first_commit": "2024-07-01 16:42:54", - "latest_commit": "2024-07-02 10:43:55", + "score": -0.0758807254536336, + "first_commit": "2024-04-14 08:53:48", + "latest_commit": "2024-05-08 12:40:53", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": 0.756 }, { - "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": 2035, + "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, "source": "Hugging Face", - "score": -0.07674560886094184, - "first_commit": "2023-06-11 15:27:32", - "latest_commit": "2023-07-29 11:27:18", + "score": -0.07597064285555581, + "first_commit": "2023-06-01 14:29:06", + "latest_commit": "2023-07-24 06:49:13", "languages": [], "model_or_dataset": "model", "model_size": null @@ -3638,9 +3469,9 @@ "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": 2022, + "downloads": 2153, "source": "Hugging Face", - "score": -0.07693551230744065, + "score": -0.07649516103343537, "first_commit": "2023-08-29 05:33:45", "latest_commit": "2023-11-16 14:27:23", "languages": [], @@ -3648,90 +3479,90 @@ "model_size": 6.74 }, { - "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": 2011, + "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, "source": "Hugging Face", - "score": -0.0770961998390935, - "first_commit": "2024-07-31 11:06:36", - "latest_commit": "2024-07-31 12:47:45", + "score": -0.07692976180939272, + "first_commit": "2023-01-10 11:53:15", + "latest_commit": "2023-01-10 12:36:12", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": null }, { - "description": "Ninja-v1-NSFW-128k-gguf Local-Novel-LLM-projectさんが公開しているNinja-v1-NSFW-128kのggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/Ninja-v1-NSFW-128k-gguf", - "project_name": "Ninja-v1-NSFW-128k-gguf", - "downloads": 1969, + "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, "source": "Hugging Face", - "score": -0.07770973405085889, - "first_commit": "2024-05-01 17:45:52", - "latest_commit": "2024-05-04 13:25:47", + "score": -0.07730441765073526, + "first_commit": "2024-05-20 01:56:12", + "latest_commit": "2024-05-20 01:56:57", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": 0.0606 }, { - "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": 1952, + "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, "source": "Hugging Face", - "score": -0.07795806932704964, - "first_commit": "2023-12-19 06:58:44", - "latest_commit": "2024-07-20 08:35:21", + "score": -0.07737934881900377, + "first_commit": "2023-06-11 15:27:32", + "latest_commit": "2023-07-29 11:27:18", "languages": [], "model_or_dataset": "model", - "model_size": 7.72 + "model_size": 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": 1950, + "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, "source": "Hugging Face", - "score": -0.0779872852418956, - "first_commit": "2024-05-20 01:56:12", - "latest_commit": "2024-05-20 01:56:57", + "score": -0.07754419738919448, + "first_commit": "2020-04-28 21:34:13", + "latest_commit": "2024-02-22 00:58:18", "languages": [], "model_or_dataset": "model", - "model_size": 0.0606 + "model_size": 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-instruct-hf", - "project_name": "Swallow-70b-instruct-hf", - "downloads": 1929, + "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, "source": "Hugging Face", - "score": -0.07829405234777831, - "first_commit": "2023-12-11 07:23:47", - "latest_commit": "2024-06-29 08:56:31", + "score": -0.07799378439880553, + "first_commit": "2023-11-08 16:56:34", + "latest_commit": "2023-11-08 17:02:17", "languages": [], "model_or_dataset": "model", - "model_size": 69.2 + "model_size": 13.2 }, { - "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": 1845, + "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, "source": "Hugging Face", - "score": -0.0795211207713091, - "first_commit": "2023-07-06 10:11:45", - "latest_commit": "2023-07-29 04:21:29", + "score": -0.07871312361418321, + "first_commit": "2023-10-30 15:12:17", + "latest_commit": "2024-07-22 08:01:22", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 6.74 }, { "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": 1835, + "downloads": 1993, "source": "Hugging Face", - "score": -0.07966720034553895, + "score": -0.07889295841802763, "first_commit": "2023-07-21 00:48:05", "latest_commit": "2023-08-17 01:06:17", "languages": [], @@ -3739,90 +3570,77 @@ "model_size": 3.68 }, { - "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": 1830, + "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, "source": "Hugging Face", - "score": -0.07974024013265388, - "first_commit": "2023-01-10 11:53:15", - "latest_commit": "2023-01-10 12:36:12", + "score": -0.07940249036225348, + "first_commit": "2022-01-20 02:30:19", + "latest_commit": "2024-07-20 07:52:31", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 1.33 }, { - "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": 1828, + "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, "source": "Hugging Face", - "score": -0.07976945604749985, - "first_commit": "2023-11-15 09:48:32", - "latest_commit": "2023-11-16 14:28:24", + "score": -0.0795073939978294, + "first_commit": "2024-04-24 13:50:51", + "latest_commit": "2024-04-24 14:24:09", "languages": [], "model_or_dataset": "model", - "model_size": 6.74 - }, - { - "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": 1812, - "source": "Hugging Face", - "score": -0.08000318336626762, - "first_commit": "2023-04-13 08:31:08", - "latest_commit": "2024-04-01 17:26:37", - "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_size": 3.82 }, { - "description": "このモデルは何？ ", - "url": "https://huggingface.co./Lasorco/lametta", - "project_name": "lametta", - "downloads": 1775, + "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, "source": "Hugging Face", - "score": -0.08054367779091809, - "first_commit": "2023-03-28 14:29:55", - "latest_commit": "2023-11-08 07:37:12", + "score": -0.07962728386705901, + "first_commit": "2024-03-04 11:30:28", + "latest_commit": "2024-06-29 09:00:15", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 13.1 }, { - "description": "OpenCALM-Large 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-large", - "project_name": "open-calm-large", - "downloads": 1756, + "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, "source": "Hugging Face", - "score": -0.08082122898195482, - "first_commit": "2023-05-15 06:50:24", - "latest_commit": "2023-05-18 01:11:13", + "score": -0.08034662308243669, + "first_commit": null, + "latest_commit": null, "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 1.64 }, { - "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": 1739, + "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": -0.08106956425814557, - "first_commit": "2021-06-15 06:32:27", - "latest_commit": "2024-07-20 07:49:31", + "score": -0.08070629269012554, + "first_commit": "2023-12-11 07:23:47", + "latest_commit": "2024-06-29 08:56:31", "languages": [], "model_or_dataset": "model", - "model_size": 0.123 + "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": 1731, + "downloads": 1860, "source": "Hugging Face", - "score": -0.08118642791752945, + "score": -0.08088612749396995, "first_commit": "2023-11-16 15:40:49", "latest_commit": "2024-06-29 08:56:21", "languages": [], @@ -3830,17 +3648,17 @@ "model_size": 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", - "downloads": 1725, + "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": -0.08127407566206736, - "first_commit": "2023-01-17 23:36:52", - "latest_commit": "2023-05-12 00:36:17", + "score": -0.08108094853146808, + "first_commit": "2024-07-01 16:42:54", + "latest_commit": "2024-07-02 10:43:55", "languages": [], "model_or_dataset": "model", - "model_size": 0.279 + "model_size": 8.03 }, { "description": "A Python Module for JUMAN++/KNP", @@ -3883,103 +3701,116 @@ "model_or_dataset": "dataset" }, { - "description": "Model Card for Japanese DeBERTa V2 tiny Model description", - "url": "https://huggingface.co./ku-nlp/deberta-v2-tiny-japanese", - "project_name": "deberta-v2-tiny-japanese", - "downloads": 1711, + "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": -0.08147858706598916, - "first_commit": "2023-01-18 13:36:09", - "latest_commit": "2023-03-23 16:13:46", + "score": -0.0813507007372347, + "first_commit": "2024-06-26 16:36:04", + "latest_commit": "2024-06-26 17:55:35", "languages": [], "model_or_dataset": "model", - "model_size": 0.013900000000000001 + "model_size": 8.03 }, { - "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": 1699, + "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": -0.08165388255506499, - "first_commit": "2023-05-15 07:14:36", - "latest_commit": "2023-05-18 01:11:50", + "score": -0.08177031527953835, + "first_commit": "2023-08-28 09:01:44", + "latest_commit": "2023-12-27 18:17:36", "languages": [], - "model_or_dataset": "model", + "model_or_dataset": "dataset", "model_size": null }, { - "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": 1690, + "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": -0.08178535417187187, - "first_commit": "2024-06-26 16:36:04", - "latest_commit": "2024-06-26 17:55:35", + "score": -0.08190519138242167, + "first_commit": "2023-11-15 09:48:32", + "latest_commit": "2023-11-16 14:28:24", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": 6.74 }, { - "description": "Japanese E5 Mixtral 7B Slerp GGUF GGUF conversion of oshizo/japanese-e5-mistral-7b_slerp Avaiable formats: Q2_K.gguf Q3_K.gguf Q4_K.gguf Q5_K.gguf", - "url": "https://huggingface.co./mm/japanese-e5-mistral-7b_slerp_gguf", - "project_name": "japanese-e5-mistral-7b_slerp_gguf", - "downloads": 1672, + "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, "source": "Hugging Face", - "score": -0.08204829740548561, - "first_commit": "2024-06-09 08:34:37", - "latest_commit": "2024-06-14 16:12:17", + "score": -0.08195015008338277, + "first_commit": "2023-10-16 08:55:06", + "latest_commit": "2024-01-24 05:54:38", "languages": [], "model_or_dataset": "model", "model_size": 7.24 }, { - "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": 1658, + "description": "wav2vec2-base-asr", + "url": "https://huggingface.co./TKU410410103/wav2vec2-base-japanese-asr", + "project_name": "wav2vec2-base-japanese-asr", + "downloads": 1775, "source": "Hugging Face", - "score": -0.0822528088094074, - "first_commit": "2024-07-15 15:43:00", - "latest_commit": "2024-07-15 17:01:09", + "score": -0.08215995735453459, + "first_commit": "2024-04-14 10:22:21", + "latest_commit": "2024-04-14 14:00:30", "languages": [], "model_or_dataset": "model", - "model_size": 9.24 + "model_size": 0.0945 }, { - "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": 1637, - "source": "Hugging Face", - "score": -0.0825595759152901, - "first_commit": "2021-07-05 02:44:40", - "latest_commit": "2023-02-17 13:07:47", + "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, + "source": "Hugging Face", + "score": -0.08259455813049194, + "first_commit": "2024-07-23 17:25:23", + "latest_commit": "2024-07-24 21:04:27", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 70.6 }, { - "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": 1620, + "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, "source": "Hugging Face", - "score": -0.08280791119148086, - "first_commit": "2023-10-30 07:43:36", - "latest_commit": "2023-12-19 06:43:01", + "score": -0.08281935163529747, + "first_commit": "2024-04-24 01:36:22", + "latest_commit": "2024-05-10 03:07:04", "languages": [], "model_or_dataset": "model", - "model_size": 6.74 + "model_size": 0.197 + }, + { + "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, + "source": "Hugging Face", + "score": -0.08293924150452708, + "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 }, { "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": 1610, + "downloads": 1711, "source": "Hugging Face", - "score": -0.08295399076571071, + "score": -0.0831190763083715, "first_commit": "2023-08-09 14:30:09", "latest_commit": "2023-08-22 09:36:29", "languages": [], @@ -3987,53 +3818,105 @@ "model_size": 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": 1595, + "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, "source": "Hugging Face", - "score": -0.0831731101270555, - "first_commit": "2023-07-31 02:34:03", - "latest_commit": "2024-07-20 08:02:07", + "score": -0.0831640350093326, + "first_commit": "2023-12-07 02:08:59", + "latest_commit": "2024-07-06 15:18:11", "languages": [], "model_or_dataset": "model", - "model_size": 3.95 + "model_size": 6.74 }, { - "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": 1587, + "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, "source": "Hugging Face", - "score": -0.08328997378643938, - "first_commit": "2024-02-29 11:28:52", - "latest_commit": "2024-06-29 08:56:19", + "score": -0.08347874591606033, + "first_commit": "2021-07-05 02:44:40", + "latest_commit": "2023-02-17 13:07:47", "languages": [], "model_or_dataset": "model", "model_size": 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": 1530, + "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, "source": "Hugging Face", - "score": -0.08412262735954956, - "first_commit": "2022-01-20 02:30:19", - "latest_commit": "2024-07-20 07:52:31", + "score": -0.08353869085067514, + "first_commit": "2024-04-17 07:32:11", + "latest_commit": "2024-04-18 05:21:10", "languages": [], "model_or_dataset": "model", - "model_size": 1.33 + "model_size": 13.1 }, { - "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": 1523, + "description": "Chatbot Arena Conversationsの質問文から、aixsatoshi/Swallow-MX-8x7b-NVE-chatvector-Mixtral-instruct-v2を使用して応答文を作成しました 質問文は、以下のモデルのPrompt部分を使用しました Chatbot Arena Conversations JA (calm2) 以下引用です。 ", + "url": "https://huggingface.co./datasets/aixsatoshi/Swallow-MX-chatbot-DPO", + "project_name": "Swallow-MX-chatbot-DPO", + "downloads": 1679, "source": "Hugging Face", - "score": -0.08422488306151045, - "first_commit": "2023-10-16 08:55:06", - "latest_commit": "2024-01-24 05:54:38", + "score": -0.08359863578528995, + "first_commit": "2024-03-31 06:42:39", + "latest_commit": "2024-03-31 08:16:43", + "languages": [], + "model_or_dataset": "dataset", + "model_size": null + }, + { + "description": "Ninja-v1-NSFW-128k-gguf Local-Novel-LLM-projectさんが公開しているNinja-v1-NSFW-128kのggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/Ninja-v1-NSFW-128k-gguf", + "project_name": "Ninja-v1-NSFW-128k-gguf", + "downloads": 1677, + "source": "Hugging Face", + "score": -0.08362860825259735, + "first_commit": "2024-05-01 17:45:52", + "latest_commit": "2024-05-04 13:25:47", + "languages": [], + "model_or_dataset": "model", + "model_size": 7.24 + }, + { + "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": 1660, + "source": "Hugging Face", + "score": -0.08388337422471029, + "first_commit": "2023-01-17 23:36:52", + "latest_commit": "2023-05-12 00:36:17", + "languages": [], + "model_or_dataset": "model", + "model_size": 0.279 + }, + { + "description": "Model Card for Japanese DeBERTa V2 tiny Model description", + "url": "https://huggingface.co./ku-nlp/deberta-v2-tiny-japanese", + "project_name": "deberta-v2-tiny-japanese", + "downloads": 1652, + "source": "Hugging Face", + "score": -0.08400326409393989, + "first_commit": "2023-01-18 13:36:09", + "latest_commit": "2023-03-23 16:13:46", + "languages": [], + "model_or_dataset": "model", + "model_size": 0.013900000000000001 + }, + { + "description": "Japanese E5 Mixtral 7B Slerp GGUF GGUF conversion of oshizo/japanese-e5-mistral-7b_slerp Avaiable formats: Q2_K.gguf Q3_K.gguf Q4_K.gguf Q5_K.gguf", + "url": "https://huggingface.co./mm/japanese-e5-mistral-7b_slerp_gguf", + "project_name": "japanese-e5-mistral-7b_slerp_gguf", + "downloads": 1639, + "source": "Hugging Face", + "score": -0.08419808513143802, + "first_commit": "2024-06-09 08:34:37", + "latest_commit": "2024-06-14 16:12:17", "languages": [], "model_or_dataset": "model", "model_size": 7.24 @@ -4051,116 +3934,116 @@ "model_or_dataset": "dataset" }, { - "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": 1514, + "description": "hubert-base-asr", + "url": "https://huggingface.co./TKU410410103/hubert-base-japanese-asr", + "project_name": "hubert-base-japanese-asr", + "downloads": 1628, "source": "Hugging Face", - "score": -0.08435635467831733, - "first_commit": "2024-04-23 05:08:21", - "latest_commit": "2024-04-28 06:08:55", + "score": -0.08436293370162873, + "first_commit": "2024-04-09 06:01:43", + "latest_commit": "2024-04-14 13:20:43", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.0945 }, { - "description": "roberta-small-japanese-luw-upos Model Description", - "url": "https://huggingface.co./KoichiYasuoka/roberta-small-japanese-luw-upos", - "project_name": "roberta-small-japanese-luw-upos", - "downloads": 1482, + "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": 1624, "source": "Hugging Face", - "score": -0.08482380931585287, - "first_commit": "2021-11-03 05:51:58", - "latest_commit": "2022-09-18 19:45:09", + "score": -0.08442287863624354, + "first_commit": "2023-04-13 08:31:08", + "latest_commit": "2024-04-01 17:26:37", "languages": [], - "model_or_dataset": "model", + "model_or_dataset": "dataset", "model_size": 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": 1466, + "description": "OpenCALM-Large 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-large", + "project_name": "open-calm-large", + "downloads": 1623, "source": "Hugging Face", - "score": -0.08505753663462064, - "first_commit": "2023-08-28 13:17:58", - "latest_commit": "2023-08-29 03:46:37", + "score": -0.08443786486989724, + "first_commit": "2023-05-15 06:50:24", + "latest_commit": "2023-05-18 01:11:13", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "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": 1458, + "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": 1620, "source": "Hugging Face", - "score": -0.08517440029400451, - "first_commit": "2024-01-29 12:52:31", - "latest_commit": "2024-02-07 19:49:25", + "score": -0.08448282357085835, + "first_commit": "2021-12-20 05:12:06", + "latest_commit": "2022-10-21 14:46:36", "languages": [], "model_or_dataset": "model", - "model_size": 12.9 + "model_size": 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": 1451, + "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": 1619, "source": "Hugging Face", - "score": -0.08527665599596541, - "first_commit": "2024-03-28 20:53:30", - "latest_commit": "2024-04-01 02:39:45", + "score": -0.08449780980451205, + "first_commit": "2024-07-15 15:43:00", + "latest_commit": "2024-07-15 17:01:09", "languages": [], "model_or_dataset": "model", - "model_size": 0.337 + "model_size": 9.24 }, { - "description": "Japanese-StableLM-Base-Beta-70B A cute robot wearing a kimono writes calligraphy with one single brush — Stable Diffusion XL Model Description japanese-stablelm-base-beta-70b is a 70B-parameter decoder-only language model based on Llama-2-70b 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-70b", - "project_name": "japanese-stablelm-base-beta-70b", - "downloads": 1445, + "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": 1618, "source": "Hugging Face", - "score": -0.08536430374050333, - "first_commit": "2023-10-30 07:46:28", - "latest_commit": "2023-12-19 06:44:53", + "score": -0.08451279603816575, + "first_commit": "2023-07-06 10:11:45", + "latest_commit": "2023-07-29 04:21:29", "languages": [], "model_or_dataset": "model", - "model_size": 69.0 + "model_size": null }, { - "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": 1432, + "description": "This dataset contains a diverse set of natural Japanese speech, collected from terrestrial television streams.", + "url": "https://huggingface.co./datasets/reazon-research/reazonspeech", + "project_name": "reazonspeech", + "downloads": 1550, "source": "Hugging Face", - "score": -0.08555420718700214, - "first_commit": "2024-05-03 14:03:23", - "latest_commit": "2024-05-04 13:26:52", + "score": -0.08553185992661747, + "first_commit": null, + "latest_commit": null, "languages": [], - "model_or_dataset": "model", - "model_size": 7.24 + "model_or_dataset": "dataset", + "model_size": null }, { - "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": 1418, + "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, "source": "Hugging Face", - "score": -0.08575871859092395, - "first_commit": "2024-07-22 13:28:13", - "latest_commit": "2024-07-22 17:25:48", + "score": -0.0859215020016137, + "first_commit": "2023-07-31 02:34:03", + "latest_commit": "2024-07-20 08:02:07", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 3.95 }, { "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": 1412, + "downloads": 1514, "source": "Hugging Face", - "score": -0.08584636633546186, + "score": -0.08607136433815073, "first_commit": "2023-05-15 07:00:18", "latest_commit": "2023-05-18 01:11:30", "languages": [], @@ -4168,134 +4051,95 @@ "model_size": null }, { - "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": 1410, + "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, "source": "Hugging Face", - "score": -0.08587558225030782, - "first_commit": "2023-12-25 18:14:10", - "latest_commit": "2023-12-27 01:41:51", + "score": -0.08617626797372664, + "first_commit": "2023-12-25 16:38:08", + "latest_commit": "2023-12-27 01:40:43", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "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": 1410, + "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, "source": "Hugging Face", - "score": -0.08587558225030782, - "first_commit": "2023-08-06 07:37:38", - "latest_commit": "2023-09-07 03:44:19", + "score": -0.08649097888045437, + "first_commit": "2024-03-09 22:52:22", + "latest_commit": "2024-03-13 10:26:42", "languages": [], - "model_or_dataset": "model", - "model_size": 1.44 + "model_or_dataset": "dataset", + "model_size": null }, { - "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": 1397, + "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": 1474, "source": "Hugging Face", - "score": -0.08606548569680664, - "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 - }, - { - "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": 1387, - "source": "Hugging Face", - "score": -0.0862115652710365, - "first_commit": "2023-12-25 16:38:08", - "latest_commit": "2023-12-27 01:40:43", + "score": -0.08667081368429878, + "first_commit": "2024-02-29 11:28:52", + "latest_commit": "2024-06-29 08:56:19", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "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": 1376, - "source": "Hugging Face", - "score": -0.08637225280268934, - "first_commit": "2023-05-17 02:16:28", - "latest_commit": "2024-07-20 07:56:34", - "languages": [], - "model_or_dataset": "model", - "model_size": 3.76 - }, - { - "description": "Model Description llava-calm2-siglip is an experimental Vision Language Model that can answer questions in Japanese about images.", - "url": "https://huggingface.co./cyberagent/llava-calm2-siglip", - "project_name": "llava-calm2-siglip", - "downloads": 1375, + "description": "roberta-small-japanese-luw-upos Model Description", + "url": "https://huggingface.co./KoichiYasuoka/roberta-small-japanese-luw-upos", + "project_name": "roberta-small-japanese-luw-upos", + "downloads": 1469, "source": "Hugging Face", - "score": -0.08638686076011233, - "first_commit": "2024-06-12 19:35:20", - "latest_commit": "2024-06-12 19:40:39", + "score": -0.0867457448525673, + "first_commit": "2021-11-03 05:51:58", + "latest_commit": "2022-09-18 19:45:09", "languages": [], "model_or_dataset": "model", - "model_size": 7.46 + "model_size": null }, { - "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": 1353, + "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, "source": "Hugging Face", - "score": -0.08670823582341801, - "first_commit": "2023-12-27 09:46:04", - "latest_commit": "2023-12-27 11:39:18", + "score": -0.08701549705833393, + "first_commit": "2023-12-25 18:14:10", + "latest_commit": "2023-12-27 01:41:51", "languages": [], "model_or_dataset": "model", - "model_size": 13.1 - }, - { - "description": "This dataset contains a diverse set of natural Japanese speech, collected from terrestrial television streams.", - "url": "https://huggingface.co./datasets/reazon-research/reazonspeech", - "project_name": "reazonspeech", - "downloads": 1341, - "source": "Hugging Face", - "score": -0.08688353131249384, - "first_commit": null, - "latest_commit": null, - "languages": [], - "model_or_dataset": "dataset", "model_size": null }, { - "description": "Vecteus-v1-gguf Local-Novel-LLM-projectさんが公開しているVecteus-v1のggufフォーマット変換版です。 ", - "url": "https://huggingface.co./mmnga/Vecteus-v1-gguf", - "project_name": "Vecteus-v1-gguf", - "downloads": 1337, + "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": 1448, "source": "Hugging Face", - "score": -0.08694196314218577, - "first_commit": "2024-05-01 17:49:42", - "latest_commit": "2024-05-01 18:37:01", + "score": -0.08706045575929504, + "first_commit": "2023-08-28 13:17:58", + "latest_commit": "2023-08-29 03:46:37", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": null }, { - "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": 1322, + "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": 1441, "source": "Hugging Face", - "score": -0.08716108250353057, - "first_commit": "2024-07-27 09:04:09", - "latest_commit": "2024-07-31 14:35:52", + "score": -0.08716535939487094, + "first_commit": "2022-11-07 14:26:40", + "latest_commit": "2022-11-09 11:19:36", "languages": [], "model_or_dataset": "model", - "model_size": 70.6 + "model_size": null }, { "description": "GUIで動作する文書校正ツール GUI tool for textlinting.", @@ -4312,25 +4156,25 @@ "model_or_dataset": null }, { - "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": 1299, + "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": 1439, "source": "Hugging Face", - "score": -0.08749706552425923, - "first_commit": "2023-05-15 06:44:47", - "latest_commit": "2023-05-18 01:10:54", + "score": -0.08719533186217834, + "first_commit": "2021-06-15 06:32:27", + "latest_commit": "2024-07-20 07:49:31", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.123 }, { "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": 1299, + "downloads": 1402, "source": "Hugging Face", - "score": -0.08749706552425923, + "score": -0.08774982250736531, "first_commit": "2024-07-31 12:12:13", "latest_commit": "2024-07-31 21:47:25", "languages": [], @@ -4338,226 +4182,291 @@ "model_size": 70.6 }, { - "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": 1124, + "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, "source": "Hugging Face", - "score": -0.0900534580732817, - "first_commit": "2023-12-25 17:14:45", - "latest_commit": "2023-12-27 01:41:31", + "score": -0.08776480874101901, + "first_commit": "2023-11-25 02:13:04", + "latest_commit": "2024-06-29 08:56:23", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "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, - "first_commit": "2019-09-02 14:12:48", - "latest_commit": "2020-12-19 14:00:34", - "languages": [ - "Python" - ], - "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": 1108, + "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": 1391, "source": "Hugging Face", - "score": -0.09028718539204948, - "first_commit": "2023-01-06 14:30:00", - "latest_commit": "2023-02-10 18:01:34", + "score": -0.08791467107755603, + "first_commit": "2023-10-30 07:47:31", + "latest_commit": "2023-12-19 06:45:10", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": 69.0 }, { - "description": "Model card for model ID", - "url": "https://huggingface.co./retrieva-jp/t5-small-short", - "project_name": "t5-small-short", - "downloads": 1103, + "description": "hubert-large-asr", + "url": "https://huggingface.co./TKU410410103/hubert-large-japanese-asr", + "project_name": "hubert-large-japanese-asr", + "downloads": 1386, "source": "Hugging Face", - "score": -0.09036022517916441, - "first_commit": "2023-04-25 04:37:20", - "latest_commit": "2023-05-10 09:55:39", + "score": -0.08798960224582454, + "first_commit": "2024-04-09 03:01:08", + "latest_commit": "2024-04-14 13:21:01", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.316 }, { - "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", - 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"model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": 70.6 }, { - "description": "wav2vec2-base-asr", - "url": "https://huggingface.co./TKU410410103/wav2vec2-base-japanese-asr", - "project_name": "wav2vec2-base-japanese-asr", - "downloads": 1012, + "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, "source": "Hugging Face", - "score": -0.09168954930465609, - "first_commit": "2024-04-14 10:22:21", - "latest_commit": "2024-04-14 14:00:30", + "score": -0.08905362483523735, + "first_commit": "2023-05-15 07:14:36", + "latest_commit": "2023-05-18 01:11:50", "languages": [], "model_or_dataset": "model", - "model_size": 0.0945 + "model_size": null }, { - "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": 989, + "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": 1306, "source": "Hugging Face", - "score": -0.09202553232538475, - "first_commit": "2023-08-14 17:18:09", - "latest_commit": "2023-08-24 10:08:28", + "score": -0.08918850093812067, + "first_commit": "2023-08-06 07:37:38", + "latest_commit": "2023-09-07 03:44:19", "languages": [], "model_or_dataset": "model", - "model_size": 3.68 + "model_size": 1.44 }, { - "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": 986, + "description": "Vecteus-v1-gguf Local-Novel-LLM-projectさんが公開しているVecteus-v1のggufフォーマット変換版です。 ", + "url": "https://huggingface.co./mmnga/Vecteus-v1-gguf", + "project_name": "Vecteus-v1-gguf", + "downloads": 1273, "source": "Hugging Face", - "score": -0.09206935619765372, - "first_commit": "2023-10-26 02:11:24", - "latest_commit": "2024-01-25 07:46:09", + "score": -0.08968304664869282, + "first_commit": "2024-05-01 17:49:42", + "latest_commit": "2024-05-01 18:37:01", "languages": [], "model_or_dataset": "model", - "model_size": 13.1 + "model_size": 7.24 }, { - "description": "old？ ", - "url": "https://huggingface.co./Lasorco/lametta_old", - "project_name": "lametta_old", - "downloads": 968, + "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, "source": "Hugging Face", - "score": -0.09233229943126746, - "first_commit": "2023-05-21 11:16:50", - "latest_commit": "2024-07-23 07:24:33", + "score": -0.08978795028426874, + "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 }, { - "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": 964, + "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, + "first_commit": "2019-09-02 14:12:48", + "latest_commit": "2020-12-19 14:00:34", + "languages": [ + "Python" + ], + "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-70b-instruct-v0.1", + "project_name": "Swallow-70b-instruct-v0.1", + "downloads": 1242, "source": "Hugging Face", - "score": -0.0923907312609594, - "first_commit": "2024-02-02 04:15:22", - "latest_commit": "2024-02-05 11:49:57", + "score": -0.09014761989195758, + "first_commit": "2024-03-06 14:39:34", + "latest_commit": "2024-06-29 09:00:17", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 69.2 }, { - "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": 957, + "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, "source": "Hugging Face", - "score": -0.0924929869629203, - "first_commit": "2024-03-29 07:07:38", - "latest_commit": "2024-04-01 02:39:31", + "score": -0.09023753729387979, + "first_commit": "2024-01-29 12:52:31", + "latest_commit": "2024-02-07 19:49:25", "languages": [], "model_or_dataset": "model", - "model_size": 0.111 + "model_size": 12.9 }, { - "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": 944, + "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": 1207, "source": "Hugging Face", - "score": -0.09268289040941911, - "first_commit": "2023-10-06 08:40:24", - "latest_commit": "2023-10-06 08:40:24", + "score": -0.09067213806983714, + "first_commit": "2023-12-27 09:46:04", + "latest_commit": "2023-12-27 11:39:18", "languages": [], "model_or_dataset": "model", - "model_size": 7.01 + "model_size": 13.1 }, { - "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": 940, + "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": 1148, "source": "Hugging Face", - "score": -0.09274132223911105, - "first_commit": "2023-10-21 08:20:14", - "latest_commit": "2024-01-10 21:52:35", + "score": -0.09155632585540553, + "first_commit": "2023-07-29 06:38:26", + "latest_commit": "2023-10-06 00:56:38", "languages": [], "model_or_dataset": "dataset", "model_size": null }, { - "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": 938, + "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": 1136, "source": "Hugging Face", - "score": -0.09277053815395703, - "first_commit": "2024-04-17 07:12:28", - "latest_commit": "2024-04-17 10:29:56", + "score": -0.09173616065924994, + "first_commit": "2024-03-28 20:53:30", + "latest_commit": "2024-04-01 02:39:45", "languages": [], "model_or_dataset": "model", - "model_size": 6.83 + "model_size": 0.337 }, { - "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": 936, + "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": 1101, "source": "Hugging Face", - "score": -0.092799754068803, - "first_commit": "2023-08-29 07:23:20", - "latest_commit": "2023-11-16 14:27:36", + "score": -0.0922606788371295, + "first_commit": "2023-12-25 17:14:45", + "latest_commit": "2023-12-27 01:41:31", "languages": [], "model_or_dataset": "model", - "model_size": 6.85 + "model_size": null + }, + { + "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": 1093, + "source": "Hugging Face", + "score": -0.09238056870635912, + "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 + }, + { + "description": "Model card for model ID", + "url": "https://huggingface.co./retrieva-jp/t5-small-short", + "project_name": "t5-small-short", + "downloads": 1090, + "source": "Hugging Face", + "score": -0.09242552740732023, + "first_commit": "2023-04-25 04:37:20", + "latest_commit": "2023-05-10 09:55:39", + "languages": [], + "model_or_dataset": "model", + "model_size": null + }, + { + "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, + "source": "Hugging Face", + "score": -0.09250045857558874, + "first_commit": "2023-05-17 02:16:28", + "latest_commit": "2024-07-20 07:56:34", + "languages": [], + "model_or_dataset": "model", + "model_size": 3.76 + }, + { + "description": "Model Description llava-calm2-siglip is an experimental Vision Language Model that can answer questions in Japanese about images.", + "url": "https://huggingface.co./cyberagent/llava-calm2-siglip", + "project_name": "llava-calm2-siglip", + "downloads": 1064, + "source": "Hugging Face", + "score": -0.09281516948231647, + "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 + }, + { + "description": "Orion-14B 🌐English | 🇨", + "url": "https://huggingface.co./OrionStarAI/Orion-14B-Chat", + "project_name": "Orion-14B-Chat", + "downloads": 1051, + "source": "Hugging Face", + "score": -0.0930099905198146, + "first_commit": "2024-01-16 06:03:30", + "latest_commit": "2024-04-11 10:48:51", + "languages": [], + "model_or_dataset": "model", + "model_size": 14.5 }, { "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．", @@ -4574,77 +4483,64 @@ "model_or_dataset": null }, { - "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": 908, + "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, "source": "Hugging Face", - "score": -0.0932087768766466, - "first_commit": "2023-08-22 12:45:18", - "latest_commit": "2023-09-08 22:00:37", + "score": -0.09351952246404044, + "first_commit": "2023-05-28 08:19:43", + "latest_commit": "2023-07-25 15:04:39", "languages": [], "model_or_dataset": "model", - "model_size": 1.41 + "model_size": null }, { - "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": 898, + "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": -0.09335485645087645, - "first_commit": "2024-05-11 07:26:43", - "latest_commit": "2024-05-11 09:56:19", + "score": -0.09413395804384221, + "first_commit": "2023-08-02 05:56:07", + "latest_commit": "2024-07-20 08:05:14", "languages": [], "model_or_dataset": "model", - "model_size": 1.64 + "model_size": 3.95 }, { - "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": 892, + "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, "source": "Hugging Face", - "score": -0.09344250419541436, - "first_commit": "2024-03-06 14:39:34", - "latest_commit": "2024-06-29 09:00:17", + "score": -0.09413395804384221, + "first_commit": "2023-01-06 14:30:00", + "latest_commit": "2023-02-10 18:01:34", "languages": [], - "model_or_dataset": "model", - "model_size": 69.2 + "model_or_dataset": "dataset", + "model_size": null }, { - "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": 886, + "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": 959, "source": "Hugging Face", - "score": -0.09353015193995227, - "first_commit": "2024-04-17 07:32:11", - "latest_commit": "2024-04-18 05:21:10", + "score": -0.09438872401595515, + "first_commit": "2023-10-06 08:40:24", + "latest_commit": "2023-10-06 08:40:24", "languages": [], "model_or_dataset": "model", - "model_size": 13.1 - }, - { - "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": 855, - "source": "Hugging Face", - "score": -0.09398299862006483, - "first_commit": "2024-03-09 22:52:22", - "latest_commit": "2024-03-13 10:26:42", - "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_size": 7.01 }, { "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": 851, + "downloads": 956, "source": "Hugging Face", - "score": -0.09404143044975677, + "score": -0.09443368271691624, "first_commit": "2024-08-01 17:32:31", "latest_commit": "2024-08-01 18:38:31", "languages": [], @@ -4652,51 +4548,38 @@ "model_size": 2.61 }, { - "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": 838, - "source": "Hugging Face", - "score": -0.09423133389625558, - "first_commit": "2024-05-01 14:17:53", - "latest_commit": "2024-05-01 15:11:21", - "languages": [], - "model_or_dataset": "model", - "model_size": 8.03 - }, - { - "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": 833, + "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, "source": "Hugging Face", - "score": -0.09430437368337051, - "first_commit": "2024-03-28 20:45:16", - "latest_commit": "2024-04-01 02:40:22", + "score": -0.09476337985729769, + "first_commit": "2024-05-13 09:31:40", + "latest_commit": "2024-05-15 06:18:10", "languages": [], "model_or_dataset": "model", - "model_size": 0.5680000000000001 + "model_size": 96.2 }, { - "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": 822, + "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, "source": "Hugging Face", - "score": -0.09446506121502335, - "first_commit": "2024-05-01 12:36:43", - "latest_commit": "2024-05-19 08:27:21", + "score": -0.0949731871284495, + "first_commit": "2023-12-20 06:06:12", + "latest_commit": "2024-01-22 07:41:59", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": 0.198 }, { "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": 820, + "downloads": 919, "source": "Hugging Face", - "score": -0.09449427712986933, + "score": -0.0949881733621032, "first_commit": "2022-11-07 06:29:21", "latest_commit": "2022-11-08 04:23:27", "languages": [], @@ -4704,199 +4587,160 @@ "model_size": null }, { - "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": 781, + "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, "source": "Hugging Face", - "score": -0.09506398746936576, - "first_commit": "2023-12-20 06:06:12", - "latest_commit": "2024-01-22 07:41:59", + "score": -0.09510806323133282, + "first_commit": "2023-05-09 07:00:51", + "latest_commit": "2023-05-12 11:03:20", "languages": [], "model_or_dataset": "model", - "model_size": 0.198 + "model_size": null }, { - "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": 756, + "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, "source": "Hugging Face", - "score": -0.0954291864049404, - "first_commit": "2024-07-03 03:56:49", - "latest_commit": "2024-07-31 05:47:48", + "score": -0.09519798063325503, + "first_commit": "2023-07-21 00:46:33", + "latest_commit": "2023-08-17 01:06:37", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 1.75 }, { - "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": 756, + "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, "source": "Hugging Face", - "score": -0.0954291864049404, - "first_commit": "2024-05-22 15:27:33", - "latest_commit": "2024-05-22 16:56:55", + "score": -0.09528789803517725, + "first_commit": "2023-10-26 02:11:24", + "latest_commit": "2024-01-25 07:46:09", "languages": [], "model_or_dataset": "model", - "model_size": 14.0 + "model_size": 13.1 }, { - "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": 754, + "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, "source": "Hugging Face", - "score": -0.09545840231978638, - "first_commit": "2023-11-19 09:44:36", - "latest_commit": "2023-12-09 10:34:29", + "score": -0.09528789803517725, + "first_commit": "2023-08-14 17:18:09", + "latest_commit": "2023-08-24 10:08:28", "languages": [], "model_or_dataset": "model", - "model_size": 7.96 - }, - { - "description": "Shisa 7B Shisa 7B (shisa-7b-v1)", - "url": "https://huggingface.co./augmxnt/shisa-7b-v1", - "project_name": "shisa-7b-v1", - "downloads": 753, - "source": "Hugging Face", - "score": -0.09547301027720936, - "first_commit": "2023-11-27 17:55:31", - "latest_commit": "2023-12-20 18:11:13", - "languages": [], - "model_or_dataset": "model", - "model_size": 7.96 - }, - { - "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": 753, - "source": "Hugging Face", - "score": -0.09547301027720936, - "first_commit": "2023-07-31 02:34:21", - "latest_commit": "2024-07-20 08:03:16", - "languages": [], - "model_or_dataset": "model", - "model_size": 3.95 + "model_size": 3.68 }, { - "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": 751, + "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, "source": "Hugging Face", - "score": -0.09550222619205533, - "first_commit": "2023-10-16 07:50:31", - "latest_commit": "2024-04-26 03:20:42", + "score": -0.09542277413806055, + "first_commit": "2023-05-15 06:44:47", + "latest_commit": "2023-05-18 01:10:54", "languages": [], "model_or_dataset": "model", - "model_size": 2.8 + "model_size": null }, { - "description": "hubert-base-asr", - "url": "https://huggingface.co./TKU410410103/hubert-base-japanese-asr", - "project_name": "hubert-base-japanese-asr", - "downloads": 748, + "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, "source": "Hugging Face", - "score": -0.09554605006432429, - "first_commit": "2024-04-09 06:01:43", - "latest_commit": "2024-04-14 13:20:43", + "score": -0.09546773283902166, + "first_commit": "2023-08-22 12:45:18", + "latest_commit": "2023-09-08 22:00:37", "languages": [], "model_or_dataset": "model", - "model_size": 0.0945 + "model_size": 1.41 }, { - "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": 740, + "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, "source": "Hugging Face", - "score": -0.09566291372370818, - "first_commit": "2023-08-30 09:18:50", - "latest_commit": "2023-11-14 00:10:58", + "score": -0.09549770530632906, + "first_commit": "2024-03-29 07:07:38", + "latest_commit": "2024-04-01 02:39:31", "languages": [], "model_or_dataset": "model", - "model_size": 1.24 + "model_size": 0.111 }, { - "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": 728, + "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, "source": "Hugging Face", - "score": -0.09583820921278399, - "first_commit": "2023-08-21 05:45:35", - "latest_commit": "2023-11-14 00:24:22", + "score": -0.09551269153998276, + "first_commit": "2024-05-11 07:26:43", + "latest_commit": "2024-05-11 09:56:19", "languages": [], "model_or_dataset": "model", - "model_size": 1.86 + "model_size": 1.64 }, { - "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": 724, + "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, "source": "Hugging Face", - "score": -0.09589664104247594, - "first_commit": "2024-07-02 04:24:09", - "latest_commit": "2024-07-02 04:31:26", + "score": -0.09564756764286608, + "first_commit": "2022-12-22 17:20:33", + "latest_commit": "2023-03-21 23:57:37", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.109 }, { - "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": 724, + "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, "source": "Hugging Face", - "score": -0.09589664104247594, - "first_commit": "2024-04-27 09:55:39", - "latest_commit": "2024-04-27 10:52:17", + "score": -0.09567754011017349, + "first_commit": "2024-03-06 01:07:56", + "latest_commit": "2024-07-22 08:11:46", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": 0.095 }, { - "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": 721, + "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, "source": "Hugging Face", - "score": -0.0959404649147449, - "first_commit": "2024-05-03 14:03:22", - "latest_commit": "2024-05-04 13:26:22", + "score": -0.095902333614979, + "first_commit": "2024-07-22 13:28:13", + "latest_commit": "2024-07-22 17:25:48", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 - }, - { - "description": "Please feel free to open an issue or pull request. ", - "url": "https://huggingface.co./datasets/kumapo/JAQKET", - "project_name": "JAQKET", - "downloads": 721, - "source": "Hugging Face", - "score": -0.0959404649147449, - "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_size": 12.2 }, { - "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": 720, + "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, "source": "Hugging Face", - "score": -0.09595507287216788, - "first_commit": "2024-07-10 11:12:59", - "latest_commit": "2024-07-21 11:26:08", + "score": -0.09593230608228641, + "first_commit": "2023-08-29 07:23:20", + "latest_commit": "2023-11-16 14:27:36", "languages": [], "model_or_dataset": "model", - "model_size": 9.24 + "model_size": 6.85 }, { "description": "llm-lora-classification", @@ -4927,116 +4771,116 @@ "model_or_dataset": "model" }, { - "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": 718, + "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, "source": "Hugging Face", - "score": -0.09598428878701386, - "first_commit": "2024-05-13 15:39:30", - "latest_commit": "2024-05-17 17:20:17", + "score": -0.09623203075536044, + "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 }, { - "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": 715, + "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, "source": "Hugging Face", - "score": -0.09602811265928281, - "first_commit": "2024-01-26 10:49:53", - "latest_commit": "2024-05-07 09:00:06", + "score": -0.09632194815728265, + "first_commit": "2024-02-02 04:15:22", + "latest_commit": "2024-02-05 11:49:57", "languages": [], "model_or_dataset": "model", - "model_size": 69.2 + "model_size": 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": 710, + "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, "source": "Hugging Face", - "score": -0.09610115244639773, - "first_commit": "2023-07-21 00:46:33", - "latest_commit": "2023-08-17 01:06:37", + "score": -0.09648679672747337, + "first_commit": "2024-08-21 01:13:32", + "latest_commit": "2024-08-21 13:26:35", "languages": [], "model_or_dataset": "model", - "model_size": 1.75 + "model_size": 22.5 }, { - "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": 706, + "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, "source": "Hugging Face", - "score": -0.09615958427608969, - "first_commit": "2023-05-30 01:50:25", - "latest_commit": "2024-07-20 07:57:35", + "score": -0.09720613594285105, + "first_commit": "2023-11-19 09:44:36", + "latest_commit": "2023-12-09 10:34:29", "languages": [], "model_or_dataset": "model", - "model_size": 3.76 + "model_size": 7.96 }, { - "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": 703, + "description": "Shisa 7B Shisa 7B (shisa-7b-v1)", + "url": "https://huggingface.co./augmxnt/shisa-7b-v1", + "project_name": "shisa-7b-v1", + "downloads": 767, "source": "Hugging Face", - "score": -0.09620340814835864, - "first_commit": "2024-05-06 16:31:55", - "latest_commit": "2024-05-07 12:59:57", + "score": -0.09726608087746585, + "first_commit": "2023-11-27 17:55:31", + "latest_commit": "2023-12-20 18:11:13", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 7.96 }, { - "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": 701, + "description": "albert-base-japanese-v1 日本語事前学習済みALBERTモデルです", + "url": "https://huggingface.co./ken11/albert-base-japanese-v1", + "project_name": "albert-base-japanese-v1", + "downloads": 767, "source": "Hugging Face", - "score": -0.09623262406320461, - "first_commit": "2023-06-21 10:52:27", - "latest_commit": "2023-07-24 07:07:44", + "score": -0.09726608087746585, + "first_commit": "2021-12-19 17:07:14", + "latest_commit": "2021-12-22 03:04:30", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "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": 689, + "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, "source": "Hugging Face", - "score": -0.09640791955228044, - "first_commit": "2022-12-01 01:31:32", - "latest_commit": "2022-12-12 16:36:58", + "score": -0.09731103957842696, + "first_commit": "2023-07-31 02:34:21", + "latest_commit": "2024-07-20 08:03:16", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": 3.95 }, { - "description": "Japanese-StableLM-Instruct-Beta-7B A cute robot wearing a kimono writes calligraphy with one single brush — Stable Diffusion XL Model Description japanese-stablelm-instruct-beta-7b is a 7B-parameter decoder-only language model based on", - "url": "https://huggingface.co./stabilityai/japanese-stablelm-instruct-beta-7b", - "project_name": "japanese-stablelm-instruct-beta-7b", - "downloads": 686, + "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, "source": "Hugging Face", - "score": -0.09645174342454939, - "first_commit": "2023-10-30 07:47:09", - "latest_commit": "2023-12-19 06:43:49", + "score": -0.09740095698034917, + "first_commit": "2024-05-01 14:17:53", + "latest_commit": "2024-05-01 15:11:21", "languages": [], "model_or_dataset": "model", - "model_size": 6.74 + "model_size": 8.03 }, { "description": "Orion-14B 🌐English | 🇨", "url": "https://huggingface.co./OrionStarAI/Orion-14B-Base", "project_name": "Orion-14B-Base", - "downloads": 684, + "downloads": 749, "source": "Hugging Face", - "score": -0.09648095933939536, + "score": -0.09753583308323249, "first_commit": "2024-01-16 06:07:42", "latest_commit": "2024-03-26 09:21:52", "languages": [], @@ -5044,818 +4888,792 @@ "model_size": null }, { - "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": 674, + "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, "source": "Hugging Face", - "score": -0.09662703891362522, - "first_commit": "2023-12-27 10:40:52", - "latest_commit": "2023-12-27 13:18:46", + "score": -0.09774564035438431, + "first_commit": "2023-08-30 09:18:50", + "latest_commit": "2023-11-14 00:10:58", "languages": [], "model_or_dataset": "model", - "model_size": 13.1 + "model_size": 1.24 }, { - "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": 673, + "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, "source": "Hugging Face", - "score": -0.0966416468710482, - "first_commit": "2024-01-26 09:08:09", - "latest_commit": "2024-05-07 09:00:17", + "score": -0.09782057152265282, + "first_commit": "2024-05-01 12:36:43", + "latest_commit": "2024-05-19 08:27:21", "languages": [], "model_or_dataset": "model", - "model_size": 69.2 + "model_size": 8.03 }, { - "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": 672, + "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, "source": "Hugging Face", - "score": -0.09665625482847119, - "first_commit": "2024-01-13 03:05:44", - "latest_commit": "2024-03-04 19:25:12", - "languages": [], + "score": -0.09791048892457503, + "first_commit": "2023-08-21 05:45:35", + "latest_commit": "2023-11-14 00:24:22", + "languages": [], "model_or_dataset": "model", - "model_size": 24.2 + "model_size": 1.86 }, { - "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。", - "url": "https://huggingface.co./datasets/hotchpotch/JaCWIR", - "project_name": "JaCWIR", - "downloads": 672, + "description": "Please feel free to open an issue or pull request. ", + "url": "https://huggingface.co./datasets/kumapo/JAQKET", + "project_name": "JAQKET", + "downloads": 724, "source": "Hugging Face", - "score": -0.09665625482847119, - "first_commit": "2024-03-23 05:57:58", - "latest_commit": "2024-04-01 02:34:34", + "score": -0.09791048892457503, + "first_commit": "2023-06-21 13:04:38", + "latest_commit": "2023-10-09 06:44:28", "languages": [], "model_or_dataset": "dataset", "model_size": 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": 670, + "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, "source": "Hugging Face", - "score": -0.09668547074331717, - "first_commit": "2024-03-28 04:31:45", - "latest_commit": "2024-04-01 02:39:19", + "score": -0.09804536502745835, + "first_commit": "2024-08-21 09:58:41", + "latest_commit": "2024-08-21 11:08:38", "languages": [], "model_or_dataset": "model", - "model_size": 0.11800000000000001 + "model_size": 3.82 }, { - "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": 669, + "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, "source": "Hugging Face", - "score": -0.09670007870074016, - "first_commit": "2023-08-29 06:32:01", - "latest_commit": "2023-11-16 14:27:12", + "score": -0.09812029619572685, + "first_commit": "2024-05-13 15:39:30", + "latest_commit": "2024-05-17 17:20:17", "languages": [], "model_or_dataset": "model", - "model_size": 6.74 + "model_size": 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": 667, + "description": "Japanese-StableLM-Instruct-Beta-7B A cute robot wearing a kimono writes calligraphy with one single brush — Stable Diffusion XL Model Description japanese-stablelm-instruct-beta-7b is a 7B-parameter decoder-only language model based on", + "url": "https://huggingface.co./stabilityai/japanese-stablelm-instruct-beta-7b", + "project_name": "japanese-stablelm-instruct-beta-7b", + "downloads": 693, "source": "Hugging Face", - "score": -0.09672929461558612, - "first_commit": "2023-12-19 08:09:53", - "latest_commit": "2024-07-22 07:58:40", + "score": -0.09837506216783978, + "first_commit": "2023-10-30 07:47:09", + "latest_commit": "2023-12-19 06:43:49", "languages": [], "model_or_dataset": "model", - "model_size": 14.2 + "model_size": 6.74 }, { - "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": 667, + "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": 675, "source": "Hugging Face", - "score": -0.09672929461558612, - "first_commit": "2023-12-07 07:34:35", - "latest_commit": "2024-06-29 08:56:25", + "score": -0.09864481437360641, + "first_commit": "2024-01-13 03:05:44", + "latest_commit": "2024-03-04 19:25:12", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 24.2 }, { - "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": 666, + "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, "source": "Hugging Face", - "score": -0.0967439025730091, - "first_commit": "2024-05-09 13:21:27", - "latest_commit": "2024-05-11 07:24:16", + "score": -0.09870475930822122, + "first_commit": "2023-10-21 08:20:14", + "latest_commit": "2024-01-10 21:52:35", "languages": [], - "model_or_dataset": "model", - "model_size": 7.24 + "model_or_dataset": "dataset", + "model_size": null }, { - "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.", - "url": "https://huggingface.co./stabilityai/japanese-stablelm-3b-4e1t-base", - "project_name": "japanese-stablelm-3b-4e1t-base", - "downloads": 663, + "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, "source": "Hugging Face", - "score": -0.09678772644527807, - "first_commit": "2023-10-16 06:04:58", - "latest_commit": "2024-04-26 03:20:34", + "score": -0.09880966294379713, + "first_commit": "2024-07-31 12:12:01", + "latest_commit": "2024-07-31 18:13:59", "languages": [], "model_or_dataset": "model", - "model_size": 2.8 + "model_size": 8.03 }, { - "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": 663, + "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, "source": "Hugging Face", - "score": -0.09678772644527807, - "first_commit": "2024-07-10 22:02:03", - "latest_commit": "2024-07-21 18:11:21", + "score": -0.09886960787841194, + "first_commit": "2023-05-30 01:50:25", + "latest_commit": "2024-07-20 07:57:35", "languages": [], "model_or_dataset": "model", - "model_size": 9.24 + "model_size": 3.76 }, { - "description": "hubert-large-asr", - "url": "https://huggingface.co./TKU410410103/hubert-large-japanese-asr", - "project_name": "hubert-large-japanese-asr", - "downloads": 661, - "source": "Hugging Face", - "score": -0.09681694236012403, - "first_commit": "2024-04-09 03:01:08", - "latest_commit": "2024-04-14 13:21:01", + "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": "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", "languages": [], - "model_or_dataset": "model", - "model_size": 0.316 + "model_or_dataset": "dataset" }, { - "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": 657, + "description": "このモデルは何？ ", + "url": "https://huggingface.co./Lasorco/lametta", + "project_name": "lametta", + "downloads": 658, "source": "Hugging Face", - "score": -0.09687537418981598, - "first_commit": "2022-08-29 05:17:36", - "latest_commit": "2022-08-29 16:10:11", + "score": -0.09889958034571934, + "first_commit": "2023-03-28 14:29:55", + "latest_commit": "2023-11-08 07:37:12", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "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", + "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, "source": "Hugging Face", - "score": -0.09688998214723896, - "first_commit": "2024-05-12 07:18:00", - "latest_commit": "2024-05-12 08:08:38", + "score": -0.09892955281302675, + "first_commit": "2024-07-28 06:17:48", + "latest_commit": "2024-07-28 06:57:40", "languages": [], "model_or_dataset": "model", "model_size": 8.03 }, { - "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": 656, + "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, "source": "Hugging Face", - "score": -0.09688998214723896, - "first_commit": "2024-04-23 13:30:08", - "latest_commit": "2024-05-07 12:58:06", + "score": -0.09909440138321746, + "first_commit": "2024-07-02 04:24:09", + "latest_commit": "2024-07-02 04:31:26", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "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": 650, + "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, "source": "Hugging Face", - "score": -0.09697762989177687, - "first_commit": "2024-05-26 16:32:27", - "latest_commit": "2024-05-27 00:47:56", + "score": -0.09909440138321746, + "first_commit": "2024-03-28 20:45:16", + "latest_commit": "2024-04-01 02:40:22", "languages": [], "model_or_dataset": "model", - "model_size": 35.0 + "model_size": 0.5680000000000001 }, { - "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": 646, + "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, "source": "Hugging Face", - "score": -0.09703606172146882, - "first_commit": "2023-10-26 05:36:26", - "latest_commit": "2024-01-25 07:46:45", + "score": -0.09928922242071558, + "first_commit": "2023-12-19 08:09:53", + "latest_commit": "2024-07-22 07:58:40", "languages": [], "model_or_dataset": "model", - "model_size": 13.1 + "model_size": 14.2 }, { - "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": 645, + "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, "source": "Hugging Face", - "score": -0.09705066967889181, - "first_commit": "2022-11-07 14:26:40", - "latest_commit": "2022-11-09 11:19:36", + "score": -0.09930420865436929, + "first_commit": "2023-08-29 06:32:01", + "latest_commit": "2023-11-16 14:27:12", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 6.74 }, { - "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": 642, + "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.", + "url": "https://huggingface.co./stabilityai/japanese-stablelm-3b-4e1t-base", + "project_name": "japanese-stablelm-3b-4e1t-base", + "downloads": 628, "source": "Hugging Face", - "score": -0.09709449355116076, - "first_commit": "2023-10-30 07:49:15", - "latest_commit": "2023-12-19 06:45:58", + "score": -0.09934916735533039, + "first_commit": "2023-10-16 06:04:58", + "latest_commit": "2024-04-26 03:20:34", "languages": [], "model_or_dataset": "model", - "model_size": 6.88 + "model_size": 2.8 }, { - "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": 636, + "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": 628, "source": "Hugging Face", - "score": -0.09718214129569867, - "first_commit": "2022-08-31 05:58:25", - "latest_commit": "2024-07-20 07:53:40", + "score": -0.09934916735533039, + "first_commit": "2023-12-13 03:56:30", + "latest_commit": "2024-07-06 15:18:24", "languages": [], "model_or_dataset": "model", - "model_size": 0.20400000000000001 + "model_size": 69.0 }, { - "description": "Sarashina1-65B", - "url": "https://huggingface.co./sbintuitions/sarashina1-65b", - "project_name": "sarashina1-65b", - "downloads": 630, + "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, "source": "Hugging Face", - "score": -0.09726978904023659, - "first_commit": "2024-06-07 11:57:56", - "latest_commit": "2024-06-27 06:56:36", + "score": -0.0993791398226378, + "first_commit": "2023-12-07 07:34:35", + "latest_commit": "2024-06-29 08:56:25", "languages": [], "model_or_dataset": "model", "model_size": 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": 630, + "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, "source": "Hugging Face", - "score": -0.09726978904023659, - "first_commit": "2024-07-31 12:12:01", - "latest_commit": "2024-07-31 18:13:59", + "score": -0.0993791398226378, + "first_commit": "2024-01-26 10:49:53", + "latest_commit": "2024-05-07 09:00:06", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": 69.2 }, { - "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": 628, + "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": 619, "source": "Hugging Face", - "score": -0.09729900495508256, - "first_commit": "2023-08-14 17:19:11", - "latest_commit": "2023-08-14 17:19:11", + "score": -0.0994840434582137, + "first_commit": "2022-08-29 05:17:36", + "latest_commit": "2022-08-29 16:10:11", "languages": [], "model_or_dataset": "model", "model_size": 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-instruct-hf", - "project_name": "Swallow-70b-NVE-instruct-hf", - "downloads": 621, + "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, "source": "Hugging Face", - "score": -0.09740126065704345, - "first_commit": "2023-12-13 03:56:30", - "latest_commit": "2024-07-06 15:18:24", + "score": -0.09957396086013591, + "first_commit": "2024-04-27 09:55:39", + "latest_commit": "2024-04-27 10:52:17", "languages": [], "model_or_dataset": "model", - "model_size": 69.0 + "model_size": 7.24 }, { - "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-hf", - "project_name": "Swallow-7b-NVE-hf", - "downloads": 619, + "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": 612, "source": "Hugging Face", - "score": -0.09743047657188943, - "first_commit": "2023-11-30 09:02:26", - "latest_commit": "2024-06-29 08:56:18", + "score": -0.09958894709378961, + "first_commit": "2023-10-26 05:36:26", + "latest_commit": "2024-01-25 07:46:45", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 13.1 }, { - "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": 606, + "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, "source": "Hugging Face", - "score": -0.09762038001838824, - "first_commit": "2024-07-28 06:17:48", - "latest_commit": "2024-07-28 06:57:40", + "score": -0.09960393332744331, + "first_commit": "2024-08-21 10:33:58", + "latest_commit": "2024-08-21 11:42:56", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 3.82 }, { - "description": "uniTKU-hubert-japanese-asr", - "url": "https://huggingface.co./TKU410410103/uniTKU-hubert-japanese-asr", - "project_name": "uniTKU-hubert-japanese-asr", - "downloads": 602, + "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, "source": "Hugging Face", - "score": -0.09767881184808018, - "first_commit": "2024-04-20 14:59:52", - "latest_commit": "2024-04-22 18:37:33", + "score": -0.09963390579475072, + "first_commit": "2022-04-27 08:29:29", + "latest_commit": "2024-07-22 08:09:24", "languages": [], "model_or_dataset": "model", - "model_size": 0.0945 + "model_size": 0.197 }, { - "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": 602, + "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, "source": "Hugging Face", - "score": -0.09767881184808018, - "first_commit": "2024-03-03 01:58:34", - "latest_commit": "2024-08-10 02:56:05", + "score": -0.09964889202840442, + "first_commit": "2024-05-03 14:03:22", + "latest_commit": "2024-05-04 13:26:22", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": 7.24 }, { - "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": 586, + "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, "source": "Hugging Face", - "score": -0.09791253916684796, - "first_commit": "2024-07-18 15:45:16", - "latest_commit": "2024-07-19 09:14:38", + "score": -0.09969385072936553, + "first_commit": "2023-12-27 10:40:52", + "latest_commit": "2023-12-27 13:18:46", "languages": [], "model_or_dataset": "model", - "model_size": 70.6 + "model_size": 13.1 }, { - "description": "Sarashina1-13B", - "url": "https://huggingface.co./sbintuitions/sarashina1-13b", - "project_name": "sarashina1-13b", - "downloads": 583, + "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, "source": "Hugging Face", - "score": -0.09795636303911691, - "first_commit": "2024-06-07 11:56:53", - "latest_commit": "2024-06-27 06:56:06", + "score": -0.09976878189763404, + "first_commit": "2024-05-09 13:21:27", + "latest_commit": "2024-05-11 07:24:16", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 7.24 }, { - "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": 581, + "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, "source": "Hugging Face", - "score": -0.09798557895396288, - "first_commit": "2023-11-02 15:45:24", - "latest_commit": "2023-11-02 18:22:05", + "score": -0.09976878189763404, + "first_commit": "2023-10-30 07:49:15", + "latest_commit": "2023-12-19 06:45:58", "languages": [], "model_or_dataset": "model", - "model_size": 69.0 + "model_size": 6.88 }, { - "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": 580, + "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, "source": "Hugging Face", - "score": -0.09800018691138587, - "first_commit": "2024-05-03 09:00:00", - "latest_commit": "2024-05-04 06:52:16", + "score": -0.09987368553320995, + "first_commit": "2024-05-06 16:31:55", + "latest_commit": "2024-05-07 12:59:57", "languages": [], "model_or_dataset": "model", - "model_size": 69.2 + "model_size": 8.03 }, { - "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": 574, + "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, "source": "Hugging Face", - "score": -0.09808783465592379, - "first_commit": "2023-04-18 08:24:55", - "latest_commit": "2023-05-08 10:08:13", + "score": -0.09990365800051734, + "first_commit": "2024-04-14 12:42:01", + "latest_commit": "2024-04-20 01:23:10", "languages": [], "model_or_dataset": "model", - "model_size": 0.10300000000000001 + "model_size": 7.24 }, { - "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": 572, + "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, "source": "Hugging Face", - "score": -0.09811705057076975, - "first_commit": "2024-05-02 14:18:27", - "latest_commit": "2024-05-03 04:36:24", + "score": -0.09991864423417104, + "first_commit": "2024-07-07 07:27:12", + "latest_commit": "2024-07-07 09:30:16", "languages": [], "model_or_dataset": "model", - "model_size": 13.1 + "model_size": 8.03 }, { - "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": 571, + "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, "source": "Hugging Face", - "score": -0.09813165852819274, - "first_commit": "2023-07-03 08:29:37", - "latest_commit": "2023-07-03 18:42:31", + "score": -0.10006850657070807, + "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 }, { - "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": 569, + "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, "source": "Hugging Face", - "score": -0.09816087444303871, - "first_commit": "2021-12-19 17:07:14", - "latest_commit": "2021-12-22 03:04:30", + "score": -0.10026332760820619, + "first_commit": "2024-04-23 13:30:08", + "latest_commit": "2024-05-07 12:58:06", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 8.03 }, { - "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": 562, + "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, "source": "Hugging Face", - "score": -0.09826313014499961, - "first_commit": "2023-06-26 13:31:28", - "latest_commit": "2023-10-27 13:22:32", + "score": -0.10026332760820619, + "first_commit": "2024-05-26 16:32:27", + "latest_commit": "2024-05-27 00:47:56", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": 35.0 }, { - "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": 561, + "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, "source": "Hugging Face", - "score": -0.09827773810242259, - "first_commit": "2022-12-22 17:17:03", - "latest_commit": "2023-03-08 01:44:36", + "score": -0.1002783138418599, + "first_commit": "2023-06-21 10:52:27", + "latest_commit": "2023-07-24 07:07:44", "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-GGUF", - "project_name": "japanese-stablelm-instruct-gamma-7B-GGUF", - "downloads": 560, + "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, "source": "Hugging Face", - "score": -0.09829234605984558, - "first_commit": "2023-10-28 19:03:17", - "latest_commit": "2023-10-28 19:07:41", + "score": -0.1002783138418599, + "first_commit": "2024-05-12 07:18:00", + "latest_commit": "2024-05-12 08:08:38", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": 8.03 }, { - "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": 557, + "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, "source": "Hugging Face", - "score": -0.09833616993211454, - "first_commit": null, - "latest_commit": null, + "score": -0.1002933000755136, + "first_commit": "2024-01-26 09:08:09", + "latest_commit": "2024-05-07 09:00:17", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 69.2 }, { - "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": 555, + "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": 563, "source": "Hugging Face", - "score": -0.0983653858469605, - "first_commit": "2024-04-14 12:42:01", - "latest_commit": "2024-04-20 01:23:10", + "score": -0.100323272542821, + "first_commit": "2024-07-10 11:12:59", + "latest_commit": "2024-07-21 11:26:08", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": 9.24 }, { - "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": 553, + "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": 555, "source": "Hugging Face", - "score": -0.09839460176180648, - "first_commit": "2024-07-01 11:45:22", - "latest_commit": "2024-07-01 17:54:05", + "score": -0.1004431624120506, + "first_commit": "2022-12-22 17:17:03", + "latest_commit": "2023-03-08 01:44:36", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": 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": 543, + "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": 554, "source": "Hugging Face", - "score": -0.09854068133603633, - "first_commit": "2024-06-07 10:13:21", - "latest_commit": "2024-06-27 06:55:38", + "score": -0.1004581486457043, + "first_commit": "2023-08-14 17:19:11", + "latest_commit": "2023-08-14 17:19:11", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "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": 543, + "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, "source": "Hugging Face", - "score": -0.09854068133603633, - "first_commit": "2023-10-30 07:49:38", - "latest_commit": "2023-12-19 06:46:01", + "score": -0.10051809358031912, + "first_commit": "2023-11-02 15:45:24", + "latest_commit": "2023-11-02 18:22:05", "languages": [], "model_or_dataset": "model", - "model_size": 6.88 + "model_size": 69.0 }, { - "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": 537, + "description": "Sarashina1-65B", + "url": "https://huggingface.co./sbintuitions/sarashina1-65b", + "project_name": "sarashina1-65b", + "downloads": 549, "source": "Hugging Face", - "score": -0.09862832908057424, - "first_commit": "2023-05-09 07:00:51", - "latest_commit": "2023-05-12 11:03:20", + "score": -0.10053307981397282, + "first_commit": "2024-06-07 11:57:56", + "latest_commit": "2024-06-27 06:56:36", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "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": 535, + "description": "old？ ", + "url": "https://huggingface.co./Lasorco/lametta_old", + "project_name": "lametta_old", + "downloads": 542, "source": "Hugging Face", - "score": -0.09865754499542022, - "first_commit": "2024-05-02 13:37:22", - "latest_commit": "2024-05-03 04:35:34", + "score": -0.10063798344954873, + "first_commit": "2023-05-21 11:16:50", + "latest_commit": "2024-07-23 07:24:33", "languages": [], "model_or_dataset": "model", - "model_size": 7.33 + "model_size": null }, { - "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": 528, + "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, "source": "Hugging Face", - "score": -0.09875980069738112, - "first_commit": "2024-05-03 04:09:27", - "latest_commit": "2024-05-03 04:53:43", + "score": -0.10069792838416354, + "first_commit": "2024-03-05 10:24:37", + "latest_commit": "2024-07-22 08:12:21", "languages": [], "model_or_dataset": "model", - "model_size": 6.83 + "model_size": 0.315 }, { - "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": 524, + "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, "source": "Hugging Face", - "score": -0.09881823252707306, - "first_commit": "2024-04-22 14:46:41", - "latest_commit": "2024-04-23 16:13:37", + "score": -0.10078784578608575, + "first_commit": "2023-06-12 14:15:16", + "latest_commit": "2023-07-24 06:49:14", "languages": [], "model_or_dataset": "model", - "model_size": 104.0 - }, - { - "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 + "model_size": 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": "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。", + "url": "https://huggingface.co./datasets/hotchpotch/JaCWIR", + "project_name": "JaCWIR", + "downloads": 531, + "source": "Hugging Face", + "score": -0.10080283201973944, + "first_commit": "2024-03-23 05:57:58", + "latest_commit": "2024-04-01 02:34:34", "languages": [], - "model_or_dataset": "dataset" + "model_or_dataset": "dataset", + "model_size": 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": 519, + "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��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": 529, "source": "Hugging Face", - "score": -0.09889127231418798, - "first_commit": "2023-11-03 01:04:31", - "latest_commit": "2023-11-03 12:54:55", + "score": -0.10083280448704685, + "first_commit": "2024-07-29 01:35:35", + "latest_commit": "2024-08-23 10:52:31", "languages": [], "model_or_dataset": "model", - "model_size": 6.74 + "model_size": 70.6 }, { "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": 518, + "url": "https://huggingface.co./tokyotech-llm/Swallow-7b-NVE-hf", + "project_name": "Swallow-7b-NVE-hf", + "downloads": 526, "source": "Hugging Face", - "score": -0.09890588027161097, - "first_commit": "2024-01-30 11:39:05", - "latest_commit": "2024-06-29 08:56:22", + "score": -0.10087776318800795, + "first_commit": "2023-11-30 09:02:26", + "latest_commit": "2024-06-29 08:56:18", "languages": [], "model_or_dataset": "model", "model_size": 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": 516, + "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, "source": "Hugging Face", - "score": -0.09893509618645695, - "first_commit": "2024-04-23 14:53:08", - "latest_commit": "2024-04-24 14:39:32", + "score": -0.10093770812262276, + "first_commit": "2024-07-03 03:56:49", + "latest_commit": "2024-07-31 05:47:48", "languages": [], "model_or_dataset": "model", "model_size": 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": 510, - "source": "Hugging Face", - "score": -0.09902274393099486, - "first_commit": "2022-11-26 10:51:27", - "latest_commit": "2024-07-12 00:01:31", - "languages": [], - "model_or_dataset": "model", - "model_size": 0.3 - }, - { - "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": 503, + "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, "source": "Hugging Face", - "score": -0.09912499963295576, - "first_commit": "2024-04-29 14:18:07", - "latest_commit": "2024-04-29 15:52:08", + "score": -0.10101263929089127, + "first_commit": "2023-10-28 19:03:17", + "latest_commit": "2023-10-28 19:07:41", "languages": [], "model_or_dataset": "model", "model_size": 7.24 }, { - "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": 500, - "source": "Hugging Face", - "score": -0.09916882350522471, - "first_commit": "2024-03-05 10:24:37", - "latest_commit": "2024-07-22 08:12:21", - "languages": [], - "model_or_dataset": "model", - "model_size": 0.315 - }, - { - "description": "bert-base-japanese-v3-jnli 「大規模言語モデル入門」の第5章で紹���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": 495, + "description": "Sarashina1-13B", + "url": "https://huggingface.co./sbintuitions/sarashina1-13b", + "project_name": "sarashina1-13b", + "downloads": 512, "source": "Hugging Face", - "score": -0.09924186329233964, - "first_commit": "2023-06-12 14:15:16", - "latest_commit": "2023-07-24 06:49:14", + "score": -0.10108757045915978, + "first_commit": "2024-06-07 11:56:53", + "latest_commit": "2024-06-27 06:56:06", "languages": [], "model_or_dataset": "model", "model_size": 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": 492, + "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, "source": "Hugging Face", - "score": -0.0992856871646086, - "first_commit": "2024-02-04 21:19:53", - "latest_commit": "2024-02-04 21:45:59", + "score": -0.1012374327956968, + "first_commit": "2024-05-22 15:27:33", + "latest_commit": "2024-05-22 16:56:55", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": 14.0 }, { - "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": 485, + "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, "source": "Hugging Face", - "score": -0.0993879428665695, - "first_commit": "2024-05-26 16:32:53", - "latest_commit": "2024-05-27 00:54:36", + "score": -0.1012973777303116, + "first_commit": "2024-06-07 10:13:21", + "latest_commit": "2024-06-27 06:55:38", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": 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": 480, + "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, "source": "Hugging Face", - "score": -0.09946098265368443, - "first_commit": "2024-04-23 14:18:57", - "latest_commit": "2024-04-23 15:24:47", + "score": -0.10141726759954121, + "first_commit": "2024-05-02 14:18:27", + "latest_commit": "2024-05-03 04:36:24", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": 13.1 }, { - "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./HODACHI/Llama-3.1-70B-EZO-1.1-it", - "project_name": "Llama-3.1-70B-EZO-1.1-it", - "downloads": 479, + "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, "source": "Hugging Face", - "score": -0.09947559061110742, - "first_commit": "2024-07-29 01:35:35", - "latest_commit": "2024-08-04 06:16:58", + "score": -0.10143225383319492, + "first_commit": null, + "latest_commit": null, "languages": [], "model_or_dataset": "model", - "model_size": 70.6 + "model_size": 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-instruct", - "project_name": "Fugaku-LLM-13B-instruct", - "downloads": 478, + "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, "source": "Hugging Face", - "score": -0.09949019856853039, - "first_commit": null, - "latest_commit": null, + "score": -0.10149219876780972, + "first_commit": "2024-07-01 11:45:22", + "latest_commit": "2024-07-01 17:54:05", "languages": [], "model_or_dataset": "model", - "model_size": 13.2 + "model_size": 8.03 }, { "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": 476, + "downloads": 484, "source": "Hugging Face", - "score": -0.09951941448337637, + "score": -0.10150718500146343, "first_commit": "2024-08-01 11:38:48", "latest_commit": "2024-08-01 13:42:20", "languages": [], @@ -5863,324 +5681,349 @@ "model_size": 2.61 }, { - "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": 469, + "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, "source": "Hugging Face", - "score": -0.09962167018533727, - "first_commit": "2022-02-15 15:47:34", - "latest_commit": "2022-04-19 14:18:58", + "score": -0.10150718500146343, + "first_commit": "2024-03-28 04:31:45", + "latest_commit": "2024-04-01 02:39:19", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.11800000000000001 }, { - "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": 468, + "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, "source": "Hugging Face", - "score": -0.09963627814276026, - "first_commit": "2024-07-07 07:27:12", - "latest_commit": "2024-07-07 09:30:16", + "score": -0.10156712993607823, + "first_commit": "2023-11-03 01:04:31", + "latest_commit": "2023-11-03 12:54:55", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": 6.74 }, { - "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": 463, + "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, "source": "Hugging Face", - "score": -0.09970931792987518, - "first_commit": "2024-04-29 14:27:31", - "latest_commit": "2024-04-29 16:53:45", + "score": -0.10162707487069304, + "first_commit": "2024-07-18 15:45:16", + "latest_commit": "2024-07-19 09:14:38", "languages": [], "model_or_dataset": "model", - "model_size": 3.82 + "model_size": 70.6 }, { - "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": 457, + "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, "source": "Hugging Face", - "score": -0.0997969656744131, - "first_commit": "2024-07-28 15:51:47", - "latest_commit": "2024-07-28 16:29:51", + "score": -0.10171699227261524, + "first_commit": "2022-06-13 09:46:45", + "latest_commit": "2022-10-21 14:49:40", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": null }, { - "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": 453, + "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, "source": "Hugging Face", - "score": -0.09985539750410503, - "first_commit": "2023-01-18 13:55:30", - "latest_commit": "2023-03-26 03:32:27", + "score": -0.10179192344088375, + "first_commit": "2024-08-01 17:22:58", + "latest_commit": "2024-08-01 18:29:08", "languages": [], "model_or_dataset": "model", - "model_size": 0.122 + "model_size": 2.61 }, { - "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": 450, + "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" + }, + { + "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, "source": "Hugging Face", - "score": -0.099899221376374, - "first_commit": "2023-09-02 17:52:26", - "latest_commit": "2023-09-08 02:39:00", + "score": -0.10186685460915226, + "first_commit": "2022-10-25 06:30:23", + "latest_commit": "2022-11-09 15:23:20", "languages": [], "model_or_dataset": "model", - "model_size": 3.61 + "model_size": 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": 446, + "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, "source": "Hugging Face", - "score": -0.09995765320606594, - "first_commit": "2024-05-29 15:05:32", - "latest_commit": "2024-05-29 15:53:40", + "score": -0.10198674447838188, + "first_commit": "2024-03-03 01:58:34", + "latest_commit": "2024-08-10 02:56:05", "languages": [], - "model_or_dataset": "model", - "model_size": 7.24 + "model_or_dataset": "dataset", + "model_size": null }, { - "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": 445, + "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, "source": "Hugging Face", - "score": -0.09997226116348892, - "first_commit": "2023-09-02 18:46:08", - "latest_commit": "2023-09-08 02:37:19", + "score": -0.10200173071203558, + "first_commit": "2024-05-03 09:00:00", + "latest_commit": "2024-05-04 06:52:16", "languages": [], "model_or_dataset": "model", - "model_size": 3.61 + "model_size": 69.2 }, { - "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": 444, + "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, "source": "Hugging Face", - "score": -0.09998686912091191, - "first_commit": "2024-06-14 07:08:07", - "latest_commit": "2024-06-19 22:29:07", + "score": -0.10203170317934299, + "first_commit": "2024-01-30 11:39:05", + "latest_commit": "2024-06-29 08:56:22", "languages": [], "model_or_dataset": "model", - "model_size": 7.33 + "model_size": null }, { - "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": 444, + "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, "source": "Hugging Face", - "score": -0.09998686912091191, - "first_commit": "2024-08-01 17:22:58", - "latest_commit": "2024-08-01 18:29:08", + "score": -0.10203170317934299, + "first_commit": "2023-10-30 07:49:38", + "latest_commit": "2023-12-19 06:46:01", "languages": [], "model_or_dataset": "model", - "model_size": 2.61 + "model_size": 6.88 }, { - "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": 439, + "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, "source": "Hugging Face", - "score": -0.10005990890802684, - "first_commit": "2024-05-11 07:22:37", - "latest_commit": "2024-05-11 13:43:09", + "score": -0.1020916481139578, + "first_commit": "2024-04-22 14:46:41", + "latest_commit": "2024-04-23 16:13:37", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": 104.0 }, { - "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": 434, + "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, "source": "Hugging Face", - "score": -0.10013294869514176, - "first_commit": "2024-04-24 12:58:10", - "latest_commit": "2024-04-24 14:46:15", + "score": -0.1021366068149189, + "first_commit": "2024-04-23 14:53:08", + "latest_commit": "2024-04-24 14:39:32", "languages": [], "model_or_dataset": "model", "model_size": 14.2 }, { - "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", + "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, "source": "Hugging Face", - "score": -0.1001913805248337, - "first_commit": "2024-07-24 18:59:58", - "latest_commit": "2024-07-26 12:21:45", + "score": -0.10231644161876331, + "first_commit": "2024-05-02 13:37:22", + "latest_commit": "2024-05-03 04:35:34", "languages": [], "model_or_dataset": "model", - "model_size": 123.0 + "model_size": 7.33 }, { - "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": 427, + "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, "source": "Hugging Face", - "score": -0.10023520439710266, - "first_commit": "2021-10-04 13:09:36", - "latest_commit": "2022-12-09 00:40:57", + "score": -0.10234641408607072, + "first_commit": "2023-01-28 22:14:29", + "latest_commit": "2023-03-03 21:11:39", "languages": [], "model_or_dataset": "model", "model_size": 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", - "project_name": "luke-japanese-base", - "downloads": 424, + "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, "source": "Hugging Face", - "score": -0.10027902826937161, - "first_commit": "2022-10-25 06:30:23", - "latest_commit": "2022-11-09 15:23:20", + "score": -0.10236140031972442, + "first_commit": "2024-02-04 21:19:53", + "latest_commit": "2024-02-04 21:45:59", "languages": [], - "model_or_dataset": "model", + "model_or_dataset": "dataset", "model_size": null }, { - "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": 418, + "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, "source": "Hugging Face", - "score": -0.10036667601390953, - "first_commit": "2022-12-22 17:20:33", - "latest_commit": "2023-03-21 23:57:37", + "score": -0.10254123512356884, + "first_commit": "2024-04-29 14:18:07", + "latest_commit": "2024-04-29 15:52:08", "languages": [], "model_or_dataset": "model", - "model_size": 0.109 + "model_size": 7.24 }, { - "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": 414, + "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, "source": "Hugging Face", - "score": -0.10042510784360148, - "first_commit": "2024-05-14 05:38:05", - "latest_commit": "2024-05-16 13:44:53", + "score": -0.10254123512356884, + "first_commit": "2023-09-02 17:52:26", + "latest_commit": "2023-09-08 02:39:00", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": 3.61 }, { - "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": 410, + "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, "source": "Hugging Face", - "score": -0.10048353967329342, - "first_commit": "2024-05-19 08:07:15", - "latest_commit": "2024-05-19 09:24:59", + "score": -0.10257120759087625, + "first_commit": "2022-10-25 09:27:16", + "latest_commit": "2022-11-09 15:22:22", "languages": [], "model_or_dataset": "model", - "model_size": 13.1 + "model_size": null }, { - "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": 410, + "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": -0.10048353967329342, - "first_commit": "2023-09-03 22:35:34", - "latest_commit": "2024-03-24 05:54:30", + "score": -0.10257120759087625, + "first_commit": "2024-03-12 07:09:56", + "latest_commit": "2024-03-12 08:36:40", "languages": [], - "model_or_dataset": "model", - "model_size": 1.77 + "model_or_dataset": "dataset", + "model_size": null }, { - "description": "Orion-14B 🌐English | 🇨", - "url": "https://huggingface.co./OrionStarAI/Orion-14B-Chat-RAG", - "project_name": "Orion-14B-Chat-RAG", - "downloads": 403, + "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, "source": "Hugging Face", - "score": -0.10058579537525432, - "first_commit": "2024-01-16 12:19:08", - "latest_commit": "2024-03-26 10:08:09", + "score": -0.10263115252549104, + "first_commit": "2021-10-04 13:09:36", + "latest_commit": "2022-12-09 00:40:57", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "description": "Japanese GPT2 Lyric Model Model description", - "url": "https://huggingface.co./skytnt/gpt2-japanese-lyric-small", - "project_name": "gpt2-japanese-lyric-small", - "downloads": 398, + "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, "source": "Hugging Face", - "score": -0.10065883516236925, - "first_commit": "2022-04-21 04:25:18", - "latest_commit": "2023-10-23 12:46:36", + "score": -0.10263115252549104, + "first_commit": "2024-04-23 14:18:57", + "latest_commit": "2024-04-23 15:24:47", "languages": [], "model_or_dataset": "model", - "model_size": 0.123 + "model_size": 8.03 }, { - "description": "Model card for model ID", - "url": "https://huggingface.co./retrieva-jp/t5-base-long", - "project_name": "t5-base-long", - "downloads": 395, + "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, "source": "Hugging Face", - "score": -0.1007026590346382, - "first_commit": "2023-04-26 08:30:59", - "latest_commit": "2023-05-10 10:00:00", + "score": -0.10266112499279845, + "first_commit": "2022-11-26 10:51:27", + "latest_commit": "2024-07-12 00:01:31", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.3 + }, + { + "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, + "source": "Hugging Face", + "score": -0.10269109746010585, + "first_commit": "2023-09-02 18:46:08", + "latest_commit": "2023-09-08 02:37:19", + "languages": [], + "model_or_dataset": "model", + "model_size": 3.61 + }, + { + "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, + "source": "Hugging Face", + "score": -0.10270608369375955, + "first_commit": "2024-05-26 16:32:53", + "latest_commit": "2024-05-27 00:54:36", + "languages": [], + "model_or_dataset": "model", + "model_size": 8.03 }, { "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": 394, + "downloads": 401, "source": "Hugging Face", - "score": -0.10071726699206118, + "score": -0.10275104239472066, "first_commit": "2024-07-07 00:28:06", "latest_commit": "2024-07-08 16:13:54", "languages": [], "model_or_dataset": "model", "model_size": 27.2 }, - { - "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": 394, - "source": "Hugging Face", - "score": -0.10071726699206118, - "first_commit": "2024-07-05 05:56:09", - "latest_commit": "2024-07-13 13:29:45", - "languages": [], - "model_or_dataset": "model", - "model_size": 1.1 - }, { "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": 394, + "downloads": 398, "source": "Hugging Face", - "score": -0.10071726699206118, + "score": -0.10279600109568177, "first_commit": "2024-06-13 17:17:30", "latest_commit": "2024-06-15 17:33:02", "languages": [], @@ -6188,90 +6031,90 @@ "model_size": 8.03 }, { - "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": 393, + "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": -0.10073187494948417, - "first_commit": "2022-06-13 09:46:45", - "latest_commit": "2022-10-21 14:49:40", + "score": -0.10281098732933547, + "first_commit": "2024-04-29 14:27:31", + "latest_commit": "2024-04-29 16:53:45", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 3.82 }, { - "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": 392, + "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, "source": "Hugging Face", - "score": -0.10074648290690716, - "first_commit": "2024-05-01 17:48:06", - "latest_commit": "2024-05-04 13:25:20", + "score": -0.10291589096491138, + "first_commit": "2023-06-27 13:32:54", + "latest_commit": "2023-07-25 13:10:36", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": null }, { - "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": 383, + "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, "source": "Hugging Face", - "score": -0.10087795452371402, - "first_commit": "2024-05-26 06:09:57", - "latest_commit": "2024-05-26 15:22:01", + "score": -0.1030058083668336, + "first_commit": "2024-05-03 04:09:27", + "latest_commit": "2024-05-03 04:53:43", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": 6.83 }, { - "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": 382, + "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, "source": "Hugging Face", - "score": -0.10089256248113701, - "first_commit": null, - "latest_commit": null, + "score": -0.10308073953510209, + "first_commit": "2023-09-03 22:35:34", + "latest_commit": "2024-03-24 05:54:30", "languages": [], "model_or_dataset": "model", - "model_size": 0.41400000000000003 + "model_size": 1.77 }, { - "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": 382, + "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, "source": "Hugging Face", - "score": -0.10089256248113701, - "first_commit": "2023-09-03 22:30:23", - "latest_commit": "2024-03-24 05:54:56", + "score": -0.10308073953510209, + "first_commit": null, + "latest_commit": null, "languages": [], "model_or_dataset": "model", - "model_size": 1.77 + "model_size": 13.2 }, { - "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", + "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, "source": "Hugging Face", - "score": -0.10095099431082896, - "first_commit": "2024-05-29 15:06:55", - "latest_commit": "2024-05-29 15:53:17", + "score": -0.1030957257687558, + "first_commit": "2022-02-15 15:47:34", + "latest_commit": "2022-04-19 14:18:58", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "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": 378, + "downloads": 377, "source": "Hugging Face", - "score": -0.10095099431082896, + "score": -0.1031107120024095, "first_commit": "2023-05-19 00:48:06", "latest_commit": "2023-05-19 00:54:57", "languages": [], @@ -6279,142 +6122,142 @@ "model_size": null }, { - "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": 377, + "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, "source": "Hugging Face", - "score": -0.10096560226825194, - "first_commit": "2023-01-28 22:14:29", - "latest_commit": "2023-03-03 21:11:39", + "score": -0.1031256982360632, + "first_commit": "2022-06-20 21:58:53", + "latest_commit": "2023-03-04 20:16:55", "languages": [], "model_or_dataset": "model", "model_size": 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": 373, + "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, "source": "Hugging Face", - "score": -0.10102403409794389, - "first_commit": "2024-05-23 14:44:25", - "latest_commit": "2024-05-23 15:58:46", + "score": -0.1031406844697169, + "first_commit": "2024-07-10 22:02:03", + "latest_commit": "2024-07-21 18:11:21", "languages": [], "model_or_dataset": "model", - "model_size": 7.25 + "model_size": 9.24 }, { - "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": 372, + "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, "source": "Hugging Face", - "score": -0.10103864205536688, - "first_commit": "2024-06-23 12:30:16", - "latest_commit": "2024-06-23 17:06:53", + "score": -0.10321561563798541, + "first_commit": "2024-05-29 15:05:32", + "latest_commit": "2024-05-29 15:53:40", "languages": [], "model_or_dataset": "model", - "model_size": 7.33 + "model_size": 7.24 }, { - "description": "Dataset.", - "url": "https://huggingface.co./datasets/hpprc/jsick", - "project_name": "jsick", - "downloads": 357, + "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, "source": "Hugging Face", - "score": -0.10125776141671165, - "first_commit": "2023-04-08 16:02:06", - "latest_commit": "2023-04-11 15:18:09", + "score": -0.10323060187163911, + "first_commit": "2023-01-18 13:55:30", + "latest_commit": "2023-03-26 03:32:27", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": 0.122 }, { - "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": 349, + "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, "source": "Hugging Face", - "score": -0.10137462507609554, - "first_commit": "2022-06-20 21:58:53", - "latest_commit": "2023-03-04 20:16:55", + "score": -0.10329054680625392, + "first_commit": "2024-04-24 12:58:10", + "latest_commit": "2024-04-24 14:46:15", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 14.2 }, { - "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": 344, + "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, "source": "Hugging Face", - "score": -0.10144766486321047, - "first_commit": "2023-01-09 11:59:13", - "latest_commit": "2023-03-27 02:43:35", + "score": -0.10332051927356133, + "first_commit": "2024-06-23 12:30:16", + "latest_commit": "2024-06-23 17:06:53", "languages": [], "model_or_dataset": "model", - "model_size": 0.112 + "model_size": 7.33 }, { - "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": 342, + "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, "source": "Hugging Face", - "score": -0.10147688077805643, - "first_commit": "2022-10-25 09:27:16", - "latest_commit": "2022-11-09 15:22:22", + "score": -0.10341043667548354, + "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 }, { - "description": "Model card for model ID", - "url": "https://huggingface.co./retrieva-jp/t5-large-short", - "project_name": "t5-large-short", - "downloads": 340, + "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, "source": "Hugging Face", - "score": -0.1015060966929024, - "first_commit": "2023-04-26 08:18:58", - "latest_commit": "2023-05-10 10:00:54", + "score": -0.10345539537644464, + "first_commit": "2023-11-07 12:04:07", + "latest_commit": "2023-11-17 05:01:00", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 6.74 }, { - "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": 339, + "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, "source": "Hugging Face", - "score": -0.1015207046503254, - "first_commit": "2024-07-24 07:37:16", - "latest_commit": "2024-07-24 12:00:46", + "score": -0.10353032654471316, + "first_commit": "2023-09-03 22:30:23", + "latest_commit": "2024-03-24 05:54:56", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": 1.77 }, { - "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": 339, + "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, "source": "Hugging Face", - "score": -0.1015207046503254, - "first_commit": "2023-12-18 11:01:07", - "latest_commit": "2023-12-19 10:28:16", + "score": -0.10354531277836684, + "first_commit": "2024-05-26 06:09:57", + "latest_commit": "2024-05-26 15:22:01", "languages": [], "model_or_dataset": "model", - "model_size": 0.111 + "model_size": 7.24 }, { "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": 338, + "downloads": 345, "source": "Hugging Face", - "score": -0.10153531260774838, + "score": -0.10359027147932795, "first_commit": "2022-09-20 05:07:34", "latest_commit": "2023-03-20 08:05:45", "languages": [], @@ -6422,219 +6265,246 @@ "model_size": 0.1 }, { - "description": "Model card for model ID", - "url": "https://huggingface.co./retrieva-jp/t5-large-long", - "project_name": "t5-large-long", - "downloads": 338, + "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, "source": "Hugging Face", - "score": -0.10153531260774838, - "first_commit": "2023-04-26 08:33:12", - "latest_commit": "2023-05-10 10:00:35", + "score": -0.10360525771298165, + "first_commit": "2023-12-04 13:13:03", + "latest_commit": "2023-12-18 10:21:11", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 1.73 }, { - "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": 337, + "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, "source": "Hugging Face", - "score": -0.10154992056517137, - "first_commit": "2023-04-30 06:13:24", - "latest_commit": "2024-01-18 13:42:50", + "score": -0.10362024394663535, + "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 }, { - "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": 336, + "description": "Japanese GPT2 Lyric Model Model description", + "url": "https://huggingface.co./skytnt/gpt2-japanese-lyric-small", + "project_name": "gpt2-japanese-lyric-small", + "downloads": 341, "source": "Hugging Face", - "score": -0.10156452852259434, - "first_commit": "2024-06-25 06:18:24", - "latest_commit": "2024-07-09 05:36:08", + "score": -0.10365021641394276, + "first_commit": "2022-04-21 04:25:18", + "latest_commit": "2023-10-23 12:46:36", "languages": [], "model_or_dataset": "model", - "model_size": 1.3 + "model_size": 0.123 }, { - "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": 334, - "source": "Hugging Face", - "score": -0.10159374443744032, - "first_commit": null, - "latest_commit": 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, + "source": "Hugging Face", + "score": -0.10365021641394276, + "first_commit": "2022-08-23 03:30:43", + "latest_commit": "2024-07-31 07:44:00", "languages": [], "model_or_dataset": "model", - "model_size": 1.64 + "model_size": 0.11 }, { - "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": 332, + "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, "source": "Hugging Face", - "score": -0.1016229603522863, - "first_commit": "2021-06-18 07:15:24", - "latest_commit": "2023-02-08 00:36:47", + "score": -0.10368018888125016, + "first_commit": "2024-05-14 05:38:05", + "latest_commit": "2024-05-16 13:44:53", "languages": [], "model_or_dataset": "model", - "model_size": 0.316 + "model_size": 8.03 }, { - "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": 327, + "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, "source": "Hugging Face", - "score": -0.10169600013940122, - "first_commit": "2021-04-01 03:12:11", - "latest_commit": "2023-01-05 04:28:36", + "score": -0.10375512004951867, + "first_commit": "2024-05-19 08:07:15", + "latest_commit": "2024-05-19 09:24:59", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 13.1 }, { - "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": 322, + "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, "source": "Hugging Face", - "score": -0.10176903992651615, - "first_commit": "2024-03-06 01:07:56", - "latest_commit": "2024-07-22 08:11:46", + "score": -0.10375512004951867, + "first_commit": "2021-08-24 04:41:45", + "latest_commit": "2021-09-06 19:32:21", "languages": [], "model_or_dataset": "model", - "model_size": 0.095 + "model_size": null }, { - "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": 321, + "description": "Model card for model ID", + "url": "https://huggingface.co./retrieva-jp/t5-base-long", + "project_name": "t5-base-long", + "downloads": 330, "source": "Hugging Face", - "score": -0.10178364788393914, - "first_commit": "2024-07-15 11:58:12", - "latest_commit": "2024-07-15 20:08:22", + "score": -0.10381506498413348, + "first_commit": "2023-04-26 08:30:59", + "latest_commit": "2023-05-10 10:00:00", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": null }, { - "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": 321, + "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, "source": "Hugging Face", - "score": -0.10178364788393914, - "first_commit": "2023-11-16 10:23:21", - "latest_commit": "2023-11-16 11:18:48", + "score": -0.10387500991874829, + "first_commit": "2024-07-05 05:56:09", + "latest_commit": "2024-07-13 13:29:45", "languages": [], "model_or_dataset": "model", - "model_size": 2.8 + "model_size": 1.1 }, { - "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": 320, + "description": "Model card for model ID", + "url": "https://huggingface.co./retrieva-jp/t5-large-long", + "project_name": "t5-large-long", + "downloads": 325, "source": "Hugging Face", - "score": -0.10179825584136212, - "first_commit": "2024-04-27 19:35:48", - "latest_commit": "2024-04-28 08:09:17", + "score": -0.10388999615240199, + "first_commit": "2023-04-26 08:33:12", + "latest_commit": "2023-05-10 10:00:35", "languages": [], "model_or_dataset": "model", - "model_size": 111.0 + "model_size": null }, { - "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", + "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, + "source": "Hugging Face", + "score": -0.10388999615240199, + "first_commit": "2024-05-20 01:51:18", + "latest_commit": "2024-05-20 01:53:38", "languages": [], - "model_or_dataset": "dataset" + "model_or_dataset": "model", + "model_size": 0.0606 }, { - "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": 312, + "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, "source": "Hugging Face", - "score": -0.101915119500746, - "first_commit": "2023-11-07 12:04:07", - "latest_commit": "2023-11-17 05:01:00", + "score": -0.10388999615240199, + "first_commit": "2021-04-03 14:08:55", + "latest_commit": "2022-03-11 02:50:33", "languages": [], "model_or_dataset": "model", - "model_size": 6.74 + "model_size": null }, { - "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": 312, + "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, "source": "Hugging Face", - "score": -0.101915119500746, - "first_commit": "2023-06-27 13:32:54", - "latest_commit": "2023-07-25 13:10:36", + "score": -0.1039199686197094, + "first_commit": "2022-12-01 01:31:32", + "latest_commit": "2022-12-12 16:36:58", "languages": [], - "model_or_dataset": "model", + "model_or_dataset": "dataset", "model_size": null }, { - "description": "OcuteusのGGUF版です。 ", - "url": "https://huggingface.co./Local-Novel-LLM-project/Ocuteus-v1-gguf", - "project_name": "Ocuteus-v1-gguf", - "downloads": 311, + "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, "source": "Hugging Face", - "score": -0.10192972745816899, - "first_commit": "2024-05-07 09:57:49", - "latest_commit": "2024-05-10 06:18:35", + "score": -0.1039199686197094, + "first_commit": "2023-06-26 13:31:28", + "latest_commit": "2023-10-27 13:22:32", + "languages": [], + "model_or_dataset": "dataset", + "model_size": null + }, + { + "description": "Dataset.", + "url": "https://huggingface.co./datasets/hpprc/jsick", + "project_name": "jsick", + "downloads": 320, + "source": "Hugging Face", + "score": -0.1039649273206705, + "first_commit": "2023-04-08 16:02:06", + "latest_commit": "2023-04-11 15:18:09", + "languages": [], + "model_or_dataset": "dataset", + "model_size": 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, + "source": "Hugging Face", + "score": -0.1039799135543242, + "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 }, { - "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": 309, + "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, "source": "Hugging Face", - "score": -0.10195894337301496, - "first_commit": null, - "latest_commit": null, + "score": -0.10399489978797789, + "first_commit": "2023-06-25 06:57:42", + "latest_commit": "2023-07-04 10:47:46", "languages": [], "model_or_dataset": "model", - "model_size": 1.64 + "model_size": 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": 304, + "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, "source": "Hugging Face", - "score": -0.10203198316012989, - "first_commit": "2021-04-03 14:08:55", - "latest_commit": "2022-03-11 02:50:33", + "score": -0.10411478965720751, + "first_commit": "2024-08-03 17:15:09", + "latest_commit": "2024-08-23 10:55:53", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 8.48 }, { - "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。 ", + "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": 296, + "downloads": 308, "source": "Hugging Face", - "score": -0.10214884681951378, + "score": -0.10414476212451491, "first_commit": "2023-04-15 10:43:21", "latest_commit": "2023-12-12 11:25:51", "languages": [], @@ -6642,181 +6512,168 @@ "model_size": null }, { - "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./HODACHI/Llama-3-EZO-VLM-1", - "project_name": "Llama-3-EZO-VLM-1", - "downloads": 289, + "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, "source": "Hugging Face", - "score": -0.10225110252147468, - "first_commit": "2024-08-03 17:15:09", - "latest_commit": "2024-08-04 23:20:43", + "score": -0.10417473459182232, + "first_commit": "2024-05-29 15:06:55", + "latest_commit": "2024-05-29 15:53:17", "languages": [], "model_or_dataset": "model", - "model_size": 8.48 + "model_size": 7.24 }, { - "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": 287, + "description": "What’s this?", + "url": "https://huggingface.co./globis-university/deberta-v3-japanese-xsmall", + "project_name": "deberta-v3-japanese-xsmall", + "downloads": 295, "source": "Hugging Face", - "score": -0.10228031843632064, - "first_commit": "2024-05-17 12:45:56", - "latest_commit": "2024-05-18 09:14:46", + "score": -0.10433958316201304, + "first_commit": "2023-09-21 16:12:53", + "latest_commit": "2024-07-05 05:48:15", "languages": [], "model_or_dataset": "model", - "model_size": 96.2 + "model_size": null }, { - "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": 283, + "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, "source": "Hugging Face", - "score": -0.10233875026601259, - "first_commit": "2024-04-23 04:41:19", - "latest_commit": "2024-05-02 03:36:10", + "score": -0.10439952809662785, + "first_commit": "2024-05-07 09:57:49", + "latest_commit": "2024-05-10 06:18:35", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": 7.24 }, { - "description": "JaQuAD is developed to provide a SQuAD-like QA dataset in Japanese.", - "url": "https://huggingface.co./datasets/SkelterLabsInc/JaQuAD", - "project_name": "JaQuAD", - "downloads": 282, + "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, "source": "Hugging Face", - "score": -0.10235335822343557, - "first_commit": "2022-01-26 01:34:38", - "latest_commit": "2022-10-25 09:06:40", + "score": -0.10439952809662785, + "first_commit": "2024-05-23 14:44:25", + "latest_commit": "2024-05-23 15:58:46", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": 7.25 }, { - "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", + "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, "source": "Hugging Face", - "score": -0.10238257413828154, - "first_commit": "2024-07-05 13:53:45", - "latest_commit": "2024-07-05 13:57:08", + "score": -0.10456437666681856, + "first_commit": "2023-06-21 07:16:52", + "latest_commit": "2023-12-12 11:19:43", "languages": [], "model_or_dataset": "dataset", "model_size": 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", - "downloads": 277, + "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": 273, "source": "Hugging Face", - "score": -0.10242639801055049, - "first_commit": "2023-08-08 18:37:40", - "latest_commit": "2023-08-09 09:25:38", + "score": -0.10466928030239447, + "first_commit": null, + "latest_commit": null, "languages": [], "model_or_dataset": "model", - "model_size": 0.14400000000000002 + "model_size": 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": 276, - "source": "Hugging Face", - "score": -0.10244100596797348, - "first_commit": "2024-01-22 15:02:21", - "latest_commit": "2024-01-23 00:42:05", - "languages": [], - "model_or_dataset": "model", - "model_size": 0.276 + "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": -0.1047294641486553, + "first_commit": "2013-12-03 09:42:52", + "latest_commit": "2024-08-10 13:13:53", + "languages": [ + "Python" + ], + "model_or_dataset": 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/a9af64ff641f0bbfed44", - "url": "https://huggingface.co./sonoisa/t5-base-japanese-title-generation", - "project_name": "t5-base-japanese-title-generation", - "downloads": 273, - "source": "Hugging Face", - "score": -0.10248482984024244, - "first_commit": "2021-04-04 06:57:18", - "latest_commit": "2022-02-21 13:38:09", + "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": -0.1047294641486553, + "first_commit": "2015-03-19 10:52:02", + "latest_commit": "2020-09-14 19:58:39", "languages": [], - "model_or_dataset": "model", - "model_size": null + "model_or_dataset": "dataset" }, { - "description": "Chat & support: TheBloke's Discord server Want to contribute?", - "url": "https://huggingface.co./TheBloke/japanese-stablelm-base-beta-70B-GGUF", - "project_name": "japanese-stablelm-base-beta-70B-GGUF", - "downloads": 273, + "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": 268, "source": "Hugging Face", - "score": -0.10248482984024244, - "first_commit": "2023-11-06 11:33:47", - "latest_commit": "2023-11-06 12:14:36", + "score": -0.10474421147066298, + "first_commit": "2023-11-16 10:23:21", + "latest_commit": "2023-11-16 11:18:48", "languages": [], "model_or_dataset": "model", - "model_size": 69.0 + "model_size": 2.8 }, { - "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": 270, + "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, "source": "Hugging Face", - "score": -0.1025286537125114, - "first_commit": "2023-11-16 10:25:20", - "latest_commit": "2023-11-16 12:53:33", + "score": -0.10477418393797039, + "first_commit": "2024-05-17 12:45:56", + "latest_commit": "2024-05-18 09:14:46", "languages": [], "model_or_dataset": "model", - "model_size": 2.8 + "model_size": 96.2 }, { - "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": 268, + "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, "source": "Hugging Face", - "score": -0.10255786962735737, - "first_commit": "2024-03-12 07:09:56", - "latest_commit": "2024-03-12 08:36:40", + "score": -0.1048491151062389, + "first_commit": "2022-01-26 01:34:38", + "latest_commit": "2022-10-25 09:06:40", "languages": [], "model_or_dataset": "dataset", "model_size": null }, { - "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": 263, - "source": "Hugging Face", - "score": -0.1026309094144723, - "first_commit": "2023-11-15 09:53:42", - "latest_commit": "2023-11-16 14:28:03", - "languages": [], - "model_or_dataset": "model", - "model_size": 6.74 - }, - { - "description": "Stanza model for Japanese (ja)", - "url": "https://huggingface.co./stanfordnlp/stanza-ja", - "project_name": "stanza-ja", - "downloads": 263, + "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, "source": "Hugging Face", - "score": -0.1026309094144723, - "first_commit": "2021-09-07 12:05:41", - "latest_commit": "2024-07-31 05:09:43", + "score": -0.1048641013398926, + "first_commit": "2023-12-18 11:01:07", + "latest_commit": "2023-12-19 10:28:16", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.111 }, { "description": "Japanese Natural Language Inference Model", "url": "https://huggingface.co./cyberagent/xlm-roberta-large-jnli-jsick", "project_name": "xlm-roberta-large-jnli-jsick", - "downloads": 261, + "downloads": 259, "source": "Hugging Face", - "score": -0.10266012532931827, + "score": -0.1048790875735463, "first_commit": "2022-12-23 10:51:12", "latest_commit": "2022-12-23 10:51:12", "languages": [], @@ -6824,363 +6681,363 @@ "model_size": 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": "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, "source": "Hugging Face", - "score": -0.10270394920158722, - "first_commit": "2024-03-21 13:25:41", - "latest_commit": "2024-03-21 14:48:28", + "score": -0.1048940738072, + "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": 8.03 }, { - "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": 254, + "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, "source": "Hugging Face", - "score": -0.10276238103127917, - "first_commit": "2023-04-13 08:25:56", - "latest_commit": "2024-02-26 13:53:06", + "score": -0.1049090600408537, + "first_commit": null, + "latest_commit": null, "languages": [], "model_or_dataset": "model", - "model_size": 0.11 + "model_size": 13.4 }, { - "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", - "downloads": 252, + "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, "source": "Hugging Face", - "score": -0.10279159694612514, - "first_commit": "2024-03-29 12:35:47", - "latest_commit": "2024-05-22 02:59:37", + "score": -0.10510388107835182, + "first_commit": "2024-04-27 19:35:48", + "latest_commit": "2024-04-28 08:09:17", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 111.0 }, { - "description": "[Llama-3-EZO model card]", - "url": "https://huggingface.co./HODACHI/Llama-3-EZO-8b-Common-it", - "project_name": "Llama-3-EZO-8b-Common-it", - "downloads": 250, + "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": 242, "source": "Hugging Face", - "score": -0.10282081286097111, - "first_commit": "2024-07-13 06:42:31", - "latest_commit": "2024-08-04 06:16:37", + "score": -0.10513385354565923, + "first_commit": null, + "latest_commit": null, "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": 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": 244, + "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": 241, "source": "Hugging Face", - "score": -0.10290846060550903, - "first_commit": "2024-05-09 13:34:05", - "latest_commit": "2024-05-09 23:32:52", + "score": -0.10514883977931293, + "first_commit": "2024-03-21 13:25:41", + "latest_commit": "2024-03-21 14:48:28", "languages": [], "model_or_dataset": "model", "model_size": 7.24 }, { - "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": 242, + "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": 240, "source": "Hugging Face", - "score": -0.102937676520355, - "first_commit": "2024-01-28 16:13:26", - "latest_commit": "2024-01-28 16:24:30", + "score": -0.10516382601296663, + "first_commit": "2023-08-08 18:37:40", + "latest_commit": "2023-08-09 09:25:38", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": 0.14400000000000002 }, { - "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": 239, + "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, "source": "Hugging Face", - "score": -0.10298150039262395, - "first_commit": null, - "latest_commit": null, + "score": -0.10519379848027403, + "first_commit": "2024-04-22 05:14:33", + "latest_commit": "2024-05-01 19:16:01", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 8.03 }, { - "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", + "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, "source": "Hugging Face", - "score": -0.10301071630746993, - "first_commit": "2021-08-24 04:41:45", - "latest_commit": "2021-09-06 19:32:21", + "score": -0.10520878471392774, + "first_commit": "2023-11-15 09:53:42", + "latest_commit": "2023-11-16 14:28:03", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 6.74 }, { - "description": "What’s this?", - "url": "https://huggingface.co./globis-university/deberta-v3-japanese-base", - "project_name": "deberta-v3-japanese-base", - "downloads": 235, + "description": "upskyy/gte-korean-base This model is korsts and kornli finetuning model from Alibaba-NLP/gte-multilingual-base.", + "url": "https://huggingface.co./upskyy/gte-base-korean", + "project_name": "gte-base-korean", + "downloads": 234, "source": "Hugging Face", - "score": -0.10303993222231589, - "first_commit": "2023-09-21 16:19:31", - "latest_commit": "2024-07-05 05:49:13", + "score": -0.10525374341488884, + "first_commit": "2024-08-08 14:34:44", + "latest_commit": "2024-08-08 15:29:27", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.305 }, { - "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": 235, + "description": "Our Models Vecteus Ninja-v1 Ninja-v1-NSFW Ninja-v1-128k Ninja-v1-NSFW-128k Model Card for VecTeus-v1.0 The Mistral-7B--based Large Language Model (LLM) is an noveldataset fine-tuned version of the Mistral-7B-v0.1 VecTeus has the following changes compared to Mistral-7B-v0.1.", + "url": "https://huggingface.co./Local-Novel-LLM-project/Vecteus-v1", + "project_name": "Vecteus-v1", + "downloads": 233, "source": "Hugging Face", - "score": -0.10303993222231589, - "first_commit": "2023-12-09 14:02:20", - "latest_commit": "2023-12-10 12:24:25", + "score": -0.10526872964854254, + "first_commit": "2024-05-01 02:08:01", + "latest_commit": "2024-05-04 04:07:22", "languages": [], "model_or_dataset": "model", - "model_size": 7.96 + "model_size": 7.24 }, { - "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", + "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": 232, "source": "Hugging Face", - "score": -0.10308375609458485, - "first_commit": "2024-07-03 13:21:22", - "latest_commit": "2024-07-03 13:53:20", - "languages": [], - "model_or_dataset": "dataset", - "model_size": null - }, - { - "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": 229, - "source": "Hugging Face", - "score": -0.1031275799668538, - "first_commit": "2024-05-21 12:16:42", - "latest_commit": "2024-05-24 15:11:25", + "score": -0.10528371588219625, + "first_commit": "2024-07-07 07:53:32", + "latest_commit": "2024-07-07 13:40:26", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": 8.03 }, { - "description": "Umievo-itr012-Gleipnir-7B-GGUF", - "url": "https://huggingface.co./QuantFactory/Umievo-itr012-Gleipnir-7B-GGUF", - "project_name": "Umievo-itr012-Gleipnir-7B-GGUF", - "downloads": 228, + "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": 232, "source": "Hugging Face", - "score": -0.10314218792427679, - "first_commit": "2024-06-09 03:48:10", - "latest_commit": "2024-06-09 13:12:32", + "score": -0.10528371588219625, + "first_commit": "2024-03-06 03:30:25", + "latest_commit": "2024-03-06 21:46:11", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": 0.91 }, { - "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", + "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, + "source": "Hugging Face", + "score": -0.10532867458315735, + "first_commit": "2023-05-09 07:44:59", + "latest_commit": "2023-05-12 11:05:03", + "languages": [], + "model_or_dataset": "model", + "model_size": null + }, + { + "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, "source": "Hugging Face", - "score": -0.10314218792427679, - "first_commit": "2024-01-26 06:13:55", - "latest_commit": "2024-01-26 06:36:22", + "score": -0.10534366081681105, + "first_commit": "2023-04-13 08:25:56", + "latest_commit": "2024-02-26 13:53:06", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": 0.11 }, { - "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", + "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", "downloads": 227, "source": "Hugging Face", - "score": -0.10315679588169978, - "first_commit": "2024-07-09 22:18:35", - "latest_commit": "2024-07-20 12:57:05", + "score": -0.10535864705046476, + "first_commit": "2024-03-29 12:35:47", + "latest_commit": "2024-05-22 02:59:37", "languages": [], - "model_or_dataset": "dataset", + "model_or_dataset": "model", "model_size": null }, { - "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": 226, + "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": -0.10317140383912277, - "first_commit": "2024-05-20 01:51:18", - "latest_commit": "2024-05-20 01:53:38", + "score": -0.10538861951777215, + "first_commit": "2021-04-01 03:12:11", + "latest_commit": "2023-01-05 04:28:36", "languages": [], "model_or_dataset": "model", - "model_size": 0.0606 + "model_size": null }, { - "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": 224, + "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": 225, "source": "Hugging Face", - "score": -0.10320061975396874, - "first_commit": "2024-07-07 11:08:34", - "latest_commit": "2024-07-07 11:13:47", + "score": -0.10538861951777215, + "first_commit": "2023-11-16 10:25:20", + "latest_commit": "2023-11-16 12:53:33", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": 2.8 }, { - "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": 220, + "description": "This is a Japanese sentence-LUKE model.", + "url": "https://huggingface.co./cheonboy/sentence_embedding_japanese", + "project_name": "sentence_embedding_japanese", + "downloads": 224, "source": "Hugging Face", - "score": -0.10325905158366068, - "first_commit": "2023-06-21 07:16:52", - "latest_commit": "2023-12-12 11:19:43", + "score": -0.10540360575142585, + "first_commit": "2023-10-05 05:10:25", + "latest_commit": "2023-10-05 05:13:09", "languages": [], - "model_or_dataset": "dataset", + "model_or_dataset": "model", "model_size": null }, { - "description": "Our Models Vecteus Ninja-v1 Ninja-v1-NSFW Ninja-v1-128k Ninja-v1-NSFW-128k Model Card for VecTeus-v1.0 The Mistral-7B--based Large Language Model (LLM) is an noveldataset fine-tuned version of the Mistral-7B-v0.1 VecTeus has the following changes compared to Mistral-7B-v0.1.", - "url": "https://huggingface.co./Local-Novel-LLM-project/Vecteus-v1", - "project_name": "Vecteus-v1", - "downloads": 219, + "description": "Umievo-itr012-Gleipnir-7B-GGUF", + "url": "https://huggingface.co./QuantFactory/Umievo-itr012-Gleipnir-7B-GGUF", + "project_name": "Umievo-itr012-Gleipnir-7B-GGUF", + "downloads": 224, "source": "Hugging Face", - "score": -0.10327365954108367, - "first_commit": "2024-05-01 02:08:01", - "latest_commit": "2024-05-04 04:07:22", + "score": -0.10540360575142585, + "first_commit": "2024-06-09 03:48:10", + "latest_commit": "2024-06-09 13:12:32", "languages": [], "model_or_dataset": "model", "model_size": 7.24 }, { - "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": 218, + "description": "[Llama-3-EZO model card]", + "url": "https://huggingface.co./AXCXEPT/Llama-3-EZO-8b-Common-it", + "project_name": "Llama-3-EZO-8b-Common-it", + "downloads": 224, "source": "Hugging Face", - "score": -0.10328826749850666, - "first_commit": "2024-07-07 07:53:32", - "latest_commit": "2024-07-07 13:40:26", + "score": -0.10540360575142585, + "first_commit": "2024-07-13 06:42:31", + "latest_commit": "2024-08-23 10:52:05", "languages": [], "model_or_dataset": "model", "model_size": 8.03 }, { - "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": 216, + "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": 223, "source": "Hugging Face", - "score": -0.10331748341335262, - "first_commit": "2023-06-25 06:57:42", - "latest_commit": "2023-07-04 10:47:46", + "score": -0.10541859198507955, + "first_commit": "2021-06-18 07:15:24", + "latest_commit": "2023-02-08 00:36:47", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.316 }, { - "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": 215, + "description": "Chat & support: TheBloke's Discord server Want to contribute?", + "url": "https://huggingface.co./TheBloke/japanese-stablelm-base-beta-70B-GGUF", + "project_name": "japanese-stablelm-base-beta-70B-GGUF", + "downloads": 219, "source": "Hugging Face", - "score": -0.1033320913707756, - "first_commit": "2024-07-17 17:49:56", - "latest_commit": "2024-07-17 18:54:27", + "score": -0.10547853691969436, + "first_commit": "2023-11-06 11:33:47", + "latest_commit": "2023-11-06 12:14:36", "languages": [], "model_or_dataset": "model", - "model_size": 7.25 + "model_size": 69.0 }, { - "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": 213, + "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, "source": "Hugging Face", - "score": -0.10336130728562158, - "first_commit": "2024-03-21 13:04:25", - "latest_commit": "2024-03-21 14:41:04", + "score": -0.10547853691969436, + "first_commit": "2022-01-25 16:35:02", + "latest_commit": "2024-01-11 07:36:44", "languages": [], - "model_or_dataset": "model", - "model_size": 7.24 + "model_or_dataset": "dataset", + "model_size": null }, { - "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": 212, + "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": 215, "source": "Hugging Face", - "score": -0.10337591524304457, - "first_commit": "2024-02-13 15:18:15", - "latest_commit": "2024-02-13 16:26:26", + "score": -0.10553848185430917, + "first_commit": "2024-07-15 11:58:12", + "latest_commit": "2024-07-15 20:08:22", "languages": [], "model_or_dataset": "model", - "model_size": 6.74 + "model_size": 8.03 }, { - "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": 212, + "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": 214, "source": "Hugging Face", - "score": -0.10337591524304457, - "first_commit": "2024-05-03 12:16:29", - "latest_commit": "2024-05-04 07:48:41", + "score": -0.10555346808796287, + "first_commit": "2024-07-24 18:59:58", + "latest_commit": "2024-07-26 12:21:45", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": 123.0 }, { - "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", - "downloads": 211, + "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, "source": "Hugging Face", - "score": -0.10339052320046754, - "first_commit": "2023-01-06 05:41:12", - "latest_commit": "2023-04-21 19:04:49", + "score": -0.10555346808796287, + "first_commit": "2024-07-24 07:37:16", + "latest_commit": "2024-07-24 12:00:46", "languages": [], "model_or_dataset": "model", - "model_size": 2.78 + "model_size": 8.03 }, { - "description": "What’s this?", - "url": "https://huggingface.co./globis-university/deberta-v3-japanese-xsmall", - "project_name": "deberta-v3-japanese-xsmall", - "downloads": 210, + "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, "source": "Hugging Face", - "score": -0.10340513115789053, - "first_commit": "2023-09-21 16:12:53", - "latest_commit": "2024-07-05 05:48:15", + "score": -0.10558344055527027, + "first_commit": "2023-04-30 06:13:24", + "latest_commit": "2024-01-18 13:42:50", "languages": [], - "model_or_dataset": "model", + "model_or_dataset": "dataset", "model_size": null }, { "description": "Rakuda - Questions for Japanese models Repository:", "url": "https://huggingface.co./datasets/yuzuai/rakuda-questions", "project_name": "rakuda-questions", - "downloads": 208, + "downloads": 211, "source": "Hugging Face", - "score": -0.10343434707273651, + "score": -0.10559842678892398, "first_commit": "2023-06-23 01:08:54", "latest_commit": "2023-06-23 08:01:35", "languages": [], @@ -7188,116 +7045,116 @@ "model_size": 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", - "downloads": 205, + "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": 210, "source": "Hugging Face", - "score": -0.10347817094500546, - "first_commit": null, - "latest_commit": null, + "score": -0.10561341302257768, + "first_commit": "2023-12-09 14:02:20", + "latest_commit": "2023-12-10 12:24:25", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 7.96 }, { - "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": 204, + "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, "source": "Hugging Face", - "score": -0.10349277890242845, - "first_commit": "2024-06-24 05:04:12", - "latest_commit": "2024-06-24 06:35:40", + "score": -0.10564338548988508, + "first_commit": "2024-03-21 13:04:25", + "latest_commit": "2024-03-21 14:41:04", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": 7.24 }, { - "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": 203, + "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, "source": "Hugging Face", - "score": -0.10350738685985143, - "first_commit": "2024-06-16 03:51:43", - "latest_commit": "2024-07-06 13:39:41", + "score": -0.10564338548988508, + "first_commit": "2023-01-20 23:52:39", + "latest_commit": "2023-01-22 19:16:59", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": 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���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": 200, + "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, "source": "Hugging Face", - "score": -0.1035512107321204, + "score": -0.10565837172353879, "first_commit": null, "latest_commit": null, "languages": [], "model_or_dataset": "model", - "model_size": 13.4 + "model_size": 1.64 }, { - "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": 199, + "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, "source": "Hugging Face", - "score": -0.10356581868954337, - "first_commit": "2024-03-14 01:21:58", - "latest_commit": "2024-04-17 07:54:48", + "score": -0.1057333028918073, + "first_commit": "2024-05-21 12:16:42", + "latest_commit": "2024-05-24 15:11:25", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 7.24 }, { - "description": "Orion-14B 🌐English | 🇨", - "url": "https://huggingface.co./OrionStarAI/Orion-14B-Chat-Int4", - "project_name": "Orion-14B-Chat-Int4", - "downloads": 196, + "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": 201, "source": "Hugging Face", - "score": -0.10360964256181233, - "first_commit": "2024-01-18 09:54:07", - "latest_commit": "2024-03-26 10:04:46", + "score": -0.105748289125461, + "first_commit": "2023-07-20 06:26:25", + "latest_commit": "2023-07-20 06:45:14", "languages": [], - "model_or_dataset": "model", - "model_size": 2.69 - }, + "model_or_dataset": "dataset", + "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": 196, + "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": 199, "source": "Hugging Face", - "score": -0.10360964256181233, - "first_commit": "2024-04-16 14:45:30", - "latest_commit": "2024-04-17 01:41:16", + "score": -0.1057782615927684, + "first_commit": "2021-04-04 06:57:18", + "latest_commit": "2022-02-21 13:38:09", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": 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", - "downloads": 196, + "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, "source": "Hugging Face", - "score": -0.10360964256181233, - "first_commit": "2024-06-28 01:51:50", - "latest_commit": "2024-06-28 05:56:23", + "score": -0.1058382065273832, + "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 }, { "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": 193, + "downloads": 195, "source": "Hugging Face", - "score": -0.10365346643408128, + "score": -0.1058382065273832, "first_commit": "2022-03-11 17:41:11", "latest_commit": "2022-12-09 00:40:25", "languages": [], @@ -7305,818 +7162,792 @@ "model_size": 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", - "downloads": 192, + "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": 193, "source": "Hugging Face", - "score": -0.10366807439150427, - "first_commit": "2024-05-16 02:02:09", - "latest_commit": "2024-05-20 01:44:32", + "score": -0.1058681789946906, + "first_commit": "2024-06-03 04:37:13", + "latest_commit": "2024-06-03 05:49:20", "languages": [], "model_or_dataset": "dataset", "model_size": 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": 190, + "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", + "downloads": 192, "source": "Hugging Face", - "score": -0.10369729030635025, - "first_commit": "2022-01-25 16:35:02", - "latest_commit": "2024-01-11 07:36:44", + "score": -0.1058831652283443, + "first_commit": "2023-01-06 05:41:12", + "latest_commit": "2023-04-21 19:04:49", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": 2.78 }, { - "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": 189, + "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, "source": "Hugging Face", - "score": -0.10371189826377324, - "first_commit": "2022-08-23 03:30:43", - "latest_commit": "2024-07-31 07:44:00", + "score": -0.1058831652283443, + "first_commit": "2024-03-21 09:51:10", + "latest_commit": "2024-05-14 04:11:31", "languages": [], - "model_or_dataset": "model", - "model_size": 0.11 + "model_or_dataset": "dataset", + "model_size": 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": 180, + "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": 190, "source": "Hugging Face", - "score": -0.1038433698805801, - "first_commit": "2024-03-30 10:49:02", - "latest_commit": "2024-03-30 17:01:16", + "score": -0.10591313769565171, + "first_commit": "2024-06-28 01:51:50", + "latest_commit": "2024-06-28 05:56:23", "languages": [], "model_or_dataset": "model", - "model_size": 13.1 + "model_size": 13.7 }, { - "description": "Model card for model ID", - "url": "https://huggingface.co./retrieva-jp/t5-small-long", - "project_name": "t5-small-long", - "downloads": 179, + "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, "source": "Hugging Face", - "score": -0.10385797783800309, - "first_commit": "2023-04-26 08:26:49", - "latest_commit": "2023-05-10 10:01:29", + "score": -0.10592812392930541, + "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 }, { - "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": 176, + "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, "source": "Hugging Face", - "score": -0.10390180171027204, - "first_commit": "2024-07-24 03:10:38", - "latest_commit": "2024-07-24 04:03:21", + "score": -0.10592812392930541, + "first_commit": null, + "latest_commit": null, "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": 0.41400000000000003 }, { - "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": 174, + "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": -0.10393101762511801, - "first_commit": "2023-07-04 04:53:47", - "latest_commit": "2023-10-25 15:31:08", + "score": -0.10592812392930541, + "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": "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": 173, + "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": -0.103945625582541, - "first_commit": "2023-02-04 04:54:17", - "latest_commit": "2023-02-04 05:44:21", + "score": -0.10595809639661281, + "first_commit": "2024-05-03 12:16:29", + "latest_commit": "2024-05-04 07:48:41", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "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": 172, + "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": 186, "source": "Hugging Face", - "score": -0.10396023353996399, - "first_commit": null, - "latest_commit": null, + "score": -0.10597308263026652, + "first_commit": "2024-06-12 17:16:36", + "latest_commit": "2024-06-18 06:17:30", "languages": [], "model_or_dataset": "model", - "model_size": 7.57 + "model_size": 7.24 }, { - "description": "Model Card for Japanese BART large Model description", - "url": "https://huggingface.co./ku-nlp/bart-large-japanese", - "project_name": "bart-large-japanese", - "downloads": 169, + "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": 185, "source": "Hugging Face", - "score": -0.10400405741223294, - "first_commit": "2023-05-09 07:44:59", - "latest_commit": "2023-05-12 11:05:03", + "score": -0.10598806886392022, + "first_commit": "2023-06-07 05:44:23", + "latest_commit": "2023-06-08 11:31:06", "languages": [], - "model_or_dataset": "model", + "model_or_dataset": "dataset", "model_size": null }, { - "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": 168, + "description": "Model card for model ID", + "url": "https://huggingface.co./retrieva-jp/t5-small-long", + "project_name": "t5-small-long", + "downloads": 184, "source": "Hugging Face", - "score": -0.10401866536965593, - "first_commit": "2024-05-10 12:03:26", - "latest_commit": "2024-05-10 18:14:28", + "score": -0.10600305509757392, + "first_commit": "2023-04-26 08:26:49", + "latest_commit": "2023-05-10 10:01:29", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": null }, { - "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": 168, + "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": -0.10401866536965593, - "first_commit": "2023-11-07 13:53:40", - "latest_commit": "2024-06-30 10:06:34", + "score": -0.10600305509757392, + "first_commit": "2023-02-04 04:54:17", + "latest_commit": "2023-02-04 05:44:21", "languages": [], "model_or_dataset": "dataset", "model_size": 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": 166, + "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": 181, "source": "Hugging Face", - "score": -0.1040478812845019, - "first_commit": "2023-04-12 00:18:29", - "latest_commit": "2023-04-13 10:25:48", + "score": -0.10604801379853503, + "first_commit": "2024-08-12 01:30:08", + "latest_commit": "2024-08-19 18:13:01", "languages": [], "model_or_dataset": "model", - "model_size": 1.33 + "model_size": 1.54 }, { - "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": 166, + "description": "Stanza model for Japanese (ja)", + "url": "https://huggingface.co./stanfordnlp/stanza-ja", + "project_name": "stanza-ja", + "downloads": 181, "source": "Hugging Face", - 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"model_size": 1.33 + "model_size": 7.24 }, { - "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": 164, + "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": 177, "source": "Hugging Face", - "score": -0.10407709719934786, - "first_commit": "2024-05-20 17:08:50", - "latest_commit": "2024-05-24 15:11:08", + "score": -0.10610795873314983, + "first_commit": "2024-06-16 03:51:43", + "latest_commit": "2024-07-06 13:39:41", "languages": [], "model_or_dataset": "model", "model_size": 7.24 }, { - "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": 163, + "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, "source": "Hugging Face", - 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", + "url": "https://huggingface.co./QuantFactory/Oumuamua-7b-instruct-GGUF", + "project_name": "Oumuamua-7b-instruct-GGUF", + "downloads": 174, "source": "Hugging Face", - "score": -0.10409170515677085, - "first_commit": "2024-05-13 16:28:41", - "latest_commit": "2024-05-13 23:33:49", + "score": -0.10615291743411094, + "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 }, { - "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": 163, + "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": 173, "source": "Hugging Face", - 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"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": 162, + "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": 170, "source": "Hugging Face", - "score": -0.10410631311419384, - "first_commit": "2022-05-22 09:42:14", - 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"model_or_dataset": "dataset", + "model_or_dataset": "model", "model_size": 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": 156, + "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": -0.10419396085873175, - "first_commit": "2023-12-28 05:41:38", - "latest_commit": "2024-03-04 05:21:14", + "score": -0.10625782106968686, + "first_commit": "2024-07-01 13:42:17", + "latest_commit": "2024-07-13 06:12:43", "languages": [], "model_or_dataset": "model", - "model_size": 5.83 + "model_size": 8.03 }, { - "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": 155, + "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": 166, "source": "Hugging Face", - "score": -0.10420856881615474, - "first_commit": "2024-04-05 17:10:51", - "latest_commit": "2024-04-07 03:19:34", + "score": -0.10627280730334056, + "first_commit": "2024-06-16 05:26:00", + "latest_commit": "2024-06-16 11:32:15", "languages": [], "model_or_dataset": "model", - "model_size": 35.0 + "model_size": 7.24 }, { - "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": 153, + "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": 165, "source": "Hugging Face", - 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"score": -0.10426700064584668, - "first_commit": "2024-04-14 12:18:31", - "latest_commit": "2024-04-14 15:26:06", + "score": -0.10634773847160905, + "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": "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": 150, + "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": -0.10428160860326967, - "first_commit": "2023-06-03 03:02:08", - "latest_commit": "2023-10-25 15:22:05", + "score": -0.10643765587353127, + "first_commit": null, + "latest_commit": null, "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": 7.57 }, { - "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": 148, + "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, "source": "Hugging Face", - "score": -0.10431082451811564, - "first_commit": "2023-09-02 18:01:40", - "latest_commit": "2023-09-08 02:52:29", + "score": -0.10643765587353127, + "first_commit": "2024-01-26 06:13:55", + "latest_commit": "2024-01-26 06:36:22", "languages": [], "model_or_dataset": "model", - "model_size": 3.71 + "model_size": 7.24 }, { - "description": "Bluemoon_Top50MB_Sorted_Fixed_ja SicariusSicariiStuff/Bluemoon_Top50MB_Sorted_Fixedを、GENIAC-Team-Ozaki/karakuri-lm-8x7b-chat-v0.1-awqを用いて日本語に翻訳したロールプレイ学習用データセットです。 ", - "url": "https://huggingface.co./datasets/Aratako/Bluemoon_Top50MB_Sorted_Fixed_ja", - "project_name": "Bluemoon_Top50MB_Sorted_Fixed_ja", - "downloads": 148, + "description": "What’s this?", + "url": "https://huggingface.co./globis-university/deberta-v3-japanese-base", + "project_name": "deberta-v3-japanese-base", + "downloads": 153, + "source": "Hugging Face", + "score": -0.10646762834083867, + "first_commit": "2023-09-21 16:19:31", + "latest_commit": "2024-07-05 05:49:13", + "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": -0.10431082451811564, - "first_commit": "2024-05-18 15:35:17", - "latest_commit": "2024-05-18 15:38:35", + "score": -0.10649760080814608, + "first_commit": "2024-04-28 16:24:00", + "latest_commit": "2024-04-28 16:39:03", "languages": [], "model_or_dataset": "dataset", "model_size": null }, { - "description": "Model card for model ID", - "url": "https://huggingface.co./retrieva-jp/t5-small-medium", - "project_name": "t5-small-medium", - "downloads": 147, + "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, "source": "Hugging Face", - "score": -0.10432543247553863, - "first_commit": "2023-04-26 08:26:19", - "latest_commit": "2023-05-10 10:01:16", + "score": -0.10651258704179978, + "first_commit": "2023-12-28 05:41:38", + "latest_commit": "2024-03-04 05:21:14", + "languages": [], + "model_or_dataset": "model", + "model_size": 5.83 + }, + { + "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, + "source": "Hugging Face", + "score": -0.10654255950910718, + "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": "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": "mbpp-ja", + "url": "https://huggingface.co./datasets/llm-jp/mbpp-ja", + "project_name": "mbpp-ja", "downloads": 147, "source": "Hugging Face", - "score": -0.10432543247553863, - "first_commit": "2024-06-03 04:37:13", - "latest_commit": "2024-06-03 05:49:20", + "score": -0.10655754574276088, + "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 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": "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": -0.1043400404329616, - "first_commit": "2024-06-16 05:26:00", - "latest_commit": "2024-06-16 11:32:15", + "score": -0.10657253197641459, + "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": "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": 146, + "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": -0.1043400404329616, - "first_commit": "2024-04-11 05:38:09", - "latest_commit": "2024-04-26 06:27:05", + "score": -0.10658751821006829, + "first_commit": "2024-05-10 12:03:26", + "latest_commit": "2024-05-10 18:14:28", "languages": [], "model_or_dataset": "model", - "model_size": 0.111 + "model_size": 7.24 }, { - "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": 145, + "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": -0.1043546483903846, - "first_commit": "2022-04-08 08:52:22", - "latest_commit": "2022-04-08 11:38:39", + "score": -0.1066774356119905, + "first_commit": "2023-09-02 18:01:40", + "latest_commit": "2023-09-08 02:52:29", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 3.71 }, { - "description": "長文用のinstructionデータセットです。 ", - "url": "https://huggingface.co./datasets/aixsatoshi/Longcontext-aozora-instruction", - "project_name": "Longcontext-aozora-instruction", - "downloads": 142, + "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, "source": "Hugging Face", - "score": -0.10439847226265356, - "first_commit": "2024-03-29 11:35:09", - "latest_commit": "2024-03-30 11:44:00", + "score": -0.1067074080792979, + "first_commit": "2024-03-30 10:49:02", + "latest_commit": "2024-03-30 17:01:16", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": 13.1 }, { - "description": "Evol-Alpaca-gen3-500 Evol-Alpaca-gen3-500は、", - "url": "https://huggingface.co./datasets/HachiML/Evol-Alpaca-gen3-500", - "project_name": "Evol-Alpaca-gen3-500", - "downloads": 142, + "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, "source": "Hugging Face", - "score": -0.10439847226265356, - "first_commit": "2024-05-12 11:13:09", - "latest_commit": "2024-05-20 01:43:43", + "score": -0.10672239431295161, + "first_commit": "2024-07-17 17:49:56", + "latest_commit": "2024-07-17 18:54:27", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": 7.25 }, { - "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": 141, + "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, "source": "Hugging Face", - "score": -0.10441308022007655, - "first_commit": "2024-06-14 01:44:05", - "latest_commit": "2024-06-18 05:53:41", + "score": -0.10672239431295161, + "first_commit": "2022-05-22 09:42:14", + "latest_commit": "2023-03-22 08:11:34", "languages": [], "model_or_dataset": "model", - "model_size": 7.96 + "model_size": 0.111 }, { - "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": 141, + "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, "source": "Hugging Face", - "score": -0.10441308022007655, - "first_commit": "2023-01-15 23:38:30", - "latest_commit": "2023-07-21 14:11:02", + "score": -0.1067373805466053, + "first_commit": "2024-06-15 16:23:41", + "latest_commit": "2024-06-15 21:25:59", "languages": [], "model_or_dataset": "model", - "model_size": 0.132 + "model_size": 7.24 }, { - "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": 137, + "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, "source": "Hugging Face", - "score": -0.10447151204976848, - "first_commit": "2023-12-04 13:13:03", - "latest_commit": "2023-12-18 10:21:11", + "score": -0.1067373805466053, + "first_commit": "2024-04-05 17:10:51", + "latest_commit": "2024-04-07 03:19:34", "languages": [], "model_or_dataset": "model", - "model_size": 1.73 + "model_size": 35.0 }, { - "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": 134, + "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, "source": "Hugging Face", - "score": -0.10451533592203743, - "first_commit": "2024-05-07 12:53:56", - "latest_commit": "2024-05-07 18:07:43", + "score": -0.1067673530139127, + "first_commit": "2024-05-13 16:28:41", + "latest_commit": "2024-05-13 23:33:49", "languages": [], "model_or_dataset": "model", - "model_size": 141.0 + "model_size": 7.24 }, { - "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": 134, + "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, "source": "Hugging Face", - "score": -0.10451533592203743, - "first_commit": "2024-03-06 03:30:25", - "latest_commit": "2024-03-06 21:46:11", + "score": -0.1068123117148738, + "first_commit": "2024-05-20 17:08:50", + "latest_commit": "2024-05-24 15:11:08", "languages": [], "model_or_dataset": "model", - "model_size": 0.91 + "model_size": 7.24 }, { - "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": 134, + "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, "source": "Hugging Face", - 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"url": "https://huggingface.co./nk2t/Llama-3-8B-Instruct-japanese-nk2t-v0.2", - "project_name": "Llama-3-8B-Instruct-japanese-nk2t-v0.2", - "downloads": 132, + "description": "What’s this?", + "url": "https://huggingface.co./globis-university/deberta-v3-japanese-large", + "project_name": "deberta-v3-japanese-large", + "downloads": 126, "source": "Hugging Face", - "score": -0.10454455183688341, - "first_commit": "2024-05-04 04:16:35", - "latest_commit": "2024-05-15 12:56:34", + "score": -0.10687225664948861, + "first_commit": "2023-09-21 16:15:15", + "latest_commit": "2024-07-05 05:50:06", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": 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": 130, + "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, "source": "Hugging Face", - 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"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": 127, + "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, "source": "Hugging Face", - "score": -0.10461759162399834, - "first_commit": "2024-06-19 08:52:12", - "latest_commit": "2024-06-19 11:40:58", + "score": -0.10691721535044972, + "first_commit": "2024-01-22 15:02:21", + "latest_commit": "2024-01-23 00:42:05", "languages": [], "model_or_dataset": "model", - "model_size": 7.33 + "model_size": 0.276 }, { - "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": 125, + "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, "source": "Hugging Face", - "score": -0.10464680753884431, - "first_commit": "2023-12-26 06:22:59", - "latest_commit": "2023-12-26 09:22:34", + "score": -0.10691721535044972, + "first_commit": "2024-03-02 03:58:25", + "latest_commit": "2024-03-12 07:32:13", "languages": [], - "model_or_dataset": "model", - "model_size": 7.24 + "model_or_dataset": "dataset", + "model_size": 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": 124, + "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, "source": "Hugging Face", - "score": -0.1046614154962673, - "first_commit": "2024-04-03 22:42:14", - "latest_commit": "2024-04-04 23:10:54", + "score": -0.10693220158410342, + "first_commit": "2024-06-23 13:00:02", + "latest_commit": "2024-06-23 14:45:14", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": 7.33 }, { - "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": 124, + "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": 120, "source": "Hugging Face", - "score": -0.1046614154962673, - "first_commit": "2024-04-22 05:14:33", - "latest_commit": "2024-05-01 19:16:01", + "score": -0.10696217405141083, + "first_commit": "2022-06-15 04:02:27", + "latest_commit": "2023-03-04 20:10:16", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": 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": 123, + "description": "[github].", + "url": "https://huggingface.co./datasets/fujiki/japanese_alpaca_data", + "project_name": "japanese_alpaca_data", + "downloads": 120, "source": "Hugging Face", - "score": -0.10467602345369029, - "first_commit": "2020-11-13 06:49:25", - "latest_commit": "2020-12-11 22:26:13", + "score": -0.10696217405141083, + "first_commit": "2023-05-18 07:13:15", + "latest_commit": "2023-05-19 12:54:13", "languages": [], - "model_or_dataset": "model", + "model_or_dataset": "dataset", "model_size": null }, { - "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": 122, + "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, "source": "Hugging Face", - "score": -0.10469063141111326, - "first_commit": "2022-10-15 05:40:40", - "latest_commit": "2022-10-21 15:55:27", + "score": -0.10697716028506453, + "first_commit": "2024-02-17 01:01:51", + "latest_commit": "2024-02-18 01:31:35", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 1.54 }, { - "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": 121, + "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, "source": "Hugging Face", - "score": -0.10470523936853625, - "first_commit": "2024-06-15 16:23:41", - "latest_commit": "2024-06-15 21:25:59", + "score": -0.10697716028506453, + "first_commit": "2023-05-18 06:29:28", + "latest_commit": "2023-06-08 05:34:26", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": 0.335 }, { - "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": 120, + "description": "Model card for model ID", + "url": "https://huggingface.co./retrieva-jp/t5-large-short", + "project_name": "t5-large-short", + "downloads": 117, "source": "Hugging Face", - "score": -0.10471984732595924, - "first_commit": "2022-06-15 04:02:27", - "latest_commit": "2023-03-04 20:10:16", + "score": -0.10700713275237193, + "first_commit": "2023-04-26 08:18:58", + "latest_commit": "2023-05-10 10:00:54", "languages": [], "model_or_dataset": "model", "model_size": 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": -0.1047294641486553, - "first_commit": "2013-12-03 09:42:52", - "latest_commit": "2024-08-10 13:13:53", - "languages": [ - "Python" - ], - "model_or_dataset": null + "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, + "source": "Hugging Face", + "score": -0.10703710521967934, + "first_commit": "2024-05-07 12:53:56", + "latest_commit": "2024-05-07 18:07:43", + "languages": [], + "model_or_dataset": "model", + "model_size": 141.0 }, { - "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": -0.1047294641486553, - "first_commit": "2015-03-19 10:52:02", - "latest_commit": "2020-09-14 19:58:39", - "languages": [], - "model_or_dataset": "dataset" - }, - { - "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": 119, + "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, "source": "Hugging Face", - "score": -0.10473445528338222, - "first_commit": "2023-03-31 02:28:09", - "latest_commit": "2023-03-31 13:13:37", + "score": -0.10705209145333304, + "first_commit": "2024-05-04 07:03:38", + "latest_commit": "2024-05-19 08:54:19", "languages": [], "model_or_dataset": "model", - "model_size": null - }, - { - "description": "abc-multiple-choice Dataset abc-multiple-choice は、競技クイズの大会「abc」で使用���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": 119, - "source": "Hugging Face", - "score": -0.10473445528338222, - "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": 12.9 }, { - "description": "Finetuned Waseda RoBERTa to evaluate the generated answers on JTruthfulQA.", - "url": "https://huggingface.co./nlp-waseda/roberta_jtruthfulqa", - "project_name": "roberta_jtruthfulqa", - "downloads": 118, + "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, "source": "Hugging Face", - "score": -0.10474906324080521, - "first_commit": "2023-12-06 01:33:02", - "latest_commit": "2023-12-06 04:31:12", + "score": -0.10708206392064044, + "first_commit": "2024-04-11 05:38:09", + "latest_commit": "2024-04-26 06:27:05", "languages": [], "model_or_dataset": "model", - "model_size": 0.337 - }, - { - "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": 116, - "source": "Hugging Face", - "score": -0.10477827915565117, - "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": 0.111 }, { - "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": 114, + "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, "source": "Hugging Face", - "score": -0.10480749507049715, - "first_commit": "2024-01-27 07:11:25", - "latest_commit": "2024-01-30 18:09:37", + "score": -0.10711203638794785, + "first_commit": "2020-11-13 06:49:25", + "latest_commit": "2020-12-11 22:26:13", "languages": [], - "model_or_dataset": "dataset", + "model_or_dataset": "model", "model_size": 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": 114, + "downloads": 110, "source": "Hugging Face", - "score": -0.10480749507049715, + "score": -0.10711203638794785, "first_commit": "2022-06-08 11:34:04", "latest_commit": "2023-07-11 12:22:09", "languages": [], @@ -8124,389 +7955,389 @@ "model_size": null }, { - "description": "What’s this?", - "url": "https://huggingface.co./globis-university/deberta-v3-japanese-large", - "project_name": "deberta-v3-japanese-large", - "downloads": 113, + "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, "source": "Hugging Face", - "score": -0.10482210302792014, - "first_commit": "2023-09-21 16:15:15", - "latest_commit": "2024-07-05 05:50:06", + "score": -0.10712702262160155, + "first_commit": "2024-05-06 12:50:49", + "latest_commit": "2024-06-15 03:17:32", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 7.24 }, { - "description": "Orion-14B 🌐English | 🇨", - "url": "https://huggingface.co./OrionStarAI/Orion-14B-LongChat", - "project_name": "Orion-14B-LongChat", - "downloads": 113, + "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, "source": "Hugging Face", - "score": -0.10482210302792014, - "first_commit": "2024-01-19 07:15:36", - "latest_commit": "2024-03-26 10:10:34", + "score": -0.10712702262160155, + "first_commit": "2023-08-11 00:52:32", + "latest_commit": "2023-08-26 04:20:51", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "description": "yacis-electra-small-cyberbullying", - "url": "https://huggingface.co./ptaszynski/yacis-electra-small-japanese-cyberbullying", - "project_name": "yacis-electra-small-japanese-cyberbullying", - "downloads": 112, + "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, "source": "Hugging Face", - "score": -0.10483671098534313, - "first_commit": "2022-01-12 03:57:13", - "latest_commit": "2022-01-16 13:51:28", + "score": -0.10714200885525525, + "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 }, { - "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": 112, + "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, "source": "Hugging Face", - "score": -0.10483671098534313, - "first_commit": "2022-01-27 08:08:53", - "latest_commit": "2022-02-04 02:39:25", + "score": -0.10715699508890895, + "first_commit": "2023-12-06 01:33:02", + "latest_commit": "2023-12-06 04:31:12", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.337 }, { - "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": 111, + "description": "Japanese stopwords for nagisa", + "url": "https://huggingface.co./datasets/taishi-i/nagisa_stopwords", + "project_name": "nagisa_stopwords", + "downloads": 107, "source": "Hugging Face", - "score": -0.10485131894276611, - "first_commit": "2022-01-23 11:29:39", - "latest_commit": "2022-01-24 05:25:31", + "score": -0.10715699508890895, + "first_commit": "2023-08-06 17:10:10", + "latest_commit": "2023-08-07 02:58:31", "languages": [], - "model_or_dataset": "model", + "model_or_dataset": "dataset", "model_size": null }, { - "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": 111, + "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": -0.10485131894276611, - "first_commit": "2022-11-15 05:14:35", - "latest_commit": "2023-02-13 10:26:12", + "score": -0.10717198132256266, + "first_commit": "2022-04-29 12:05:21", + "latest_commit": "2022-04-29 14:05:37", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "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": 108, + "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, "source": "Hugging Face", - "score": -0.10489514281503506, - "first_commit": "2023-03-29 07:20:03", - "latest_commit": "2023-03-29 17:28:01", + "score": -0.10717198132256266, + "first_commit": "2020-11-13 06:49:52", + "latest_commit": "2020-12-11 22:26:17", "languages": [], "model_or_dataset": "model", "model_size": 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": 108, + "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, "source": "Hugging Face", - "score": -0.10489514281503506, - "first_commit": "2023-08-11 00:52:32", - "latest_commit": "2023-08-26 04:20:51", + "score": -0.10718696755621636, + "first_commit": "2024-06-26 14:18:01", + "latest_commit": "2024-07-24 19:06:51", "languages": [], - "model_or_dataset": "model", + "model_or_dataset": "dataset", "model_size": null }, { - "description": "upskyy/gte-korean-base This model is korsts and kornli finetuning model from Alibaba-NLP/gte-multilingual-base.", - "url": "https://huggingface.co./upskyy/gte-base-korean", - "project_name": "gte-base-korean", - "downloads": 107, + "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, "source": "Hugging Face", - "score": -0.10490975077245805, - "first_commit": "2024-08-08 14:34:44", - "latest_commit": "2024-08-08 15:29:27", + "score": -0.10720195378987005, + "first_commit": "2024-07-24 10:09:29", + "latest_commit": "2024-07-24 10:29:47", "languages": [], "model_or_dataset": "model", - "model_size": 0.305 + "model_size": 0.756 }, { - "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": 106, + "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, "source": "Hugging Face", - "score": -0.10492435872988104, - "first_commit": "2022-04-20 16:34:22", - "latest_commit": "2022-04-21 02:28:13", + "score": -0.10720195378987005, + "first_commit": "2023-03-29 07:20:03", + "latest_commit": "2023-03-29 17:28:01", "languages": [], "model_or_dataset": "model", "model_size": 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": 103, - "source": "Hugging Face", - "score": -0.10496818260214999, - "first_commit": "2023-01-07 07:45:25", - "latest_commit": "2023-05-12 14:10:35", - "languages": [], - "model_or_dataset": "model", - "model_size": 0.373 - }, - { - "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": 103, + "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": -0.10496818260214999, - "first_commit": "2024-06-23 13:00:02", - "latest_commit": "2024-06-23 14:45:14", + "score": -0.10720195378987005, + "first_commit": "2023-11-07 12:48:15", + "latest_commit": "2023-11-15 00:38:12", "languages": [], "model_or_dataset": "model", - "model_size": 7.33 + "model_size": 6.74 }, { - "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", + "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, "source": "Hugging Face", - "score": -0.10498279055957298, - "first_commit": "2022-04-29 12:05:21", - "latest_commit": "2022-04-29 14:05:37", + "score": -0.10723192625717745, + "first_commit": "2024-07-24 03:10:38", + "latest_commit": "2024-07-24 04:03:21", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 8.03 }, { - "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", + "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, "source": "Hugging Face", - "score": -0.10501200647441895, - "first_commit": "2024-07-24 10:09:29", - "latest_commit": "2024-07-24 10:29:47", + "score": -0.10726189872448486, + "first_commit": "2024-05-04 04:16:35", + "latest_commit": "2024-05-15 12:56:34", "languages": [], "model_or_dataset": "model", - "model_size": 0.756 + "model_size": 8.03 }, { - "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": 100, + "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, "source": "Hugging Face", - "score": -0.10501200647441895, - "first_commit": "2020-11-13 06:49:52", - "latest_commit": "2020-12-11 22:26:17", + "score": -0.10727688495813856, + "first_commit": "2022-01-25 16:36:23", + "latest_commit": "2024-01-18 11:16:01", "languages": [], - "model_or_dataset": "model", + "model_or_dataset": "dataset", "model_size": null }, { - "description": "electra-base-cyberbullying This is an ELECTRA Base model for the Japanese language finetuned for automatic cyberbullying detection.", - "url": "https://huggingface.co./kit-nlp/transformers-ud-japanese-electra-base-discriminator-cyberbullying", - "project_name": "transformers-ud-japanese-electra-base-discriminator-cyberbullying", + "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, "source": "Hugging Face", - "score": -0.10502661443184194, - "first_commit": "2022-09-09 04:08:15", - "latest_commit": "2022-11-01 07:18:40", + "score": -0.10727688495813856, + "first_commit": "2024-08-07 07:11:08", + "latest_commit": "2024-08-07 07:21:07", "languages": [], - "model_or_dataset": "model", + "model_or_dataset": "dataset", "model_size": null }, { - "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": 99, + "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, "source": "Hugging Face", - "score": -0.10502661443184194, - "first_commit": "2023-06-09 15:19:12", - "latest_commit": "2023-06-09 16:08:47", + "score": -0.10729187119179226, + "first_commit": "2024-04-03 22:42:14", + "latest_commit": "2024-04-04 23:10:54", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 7.24 }, { - "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": 99, + "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, "source": "Hugging Face", - "score": -0.10502661443184194, - "first_commit": "2022-01-25 16:34:54", - "latest_commit": "2023-11-02 14:52:21", + "score": -0.10733682989275337, + "first_commit": "2024-05-13 12:02:43", + "latest_commit": "2024-05-17 00:25:10", "languages": [], "model_or_dataset": "dataset", "model_size": 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": 98, + "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, "source": "Hugging Face", - "score": -0.10504122238926492, - "first_commit": "2022-08-12 15:41:28", - "latest_commit": "2022-08-27 09:21:01", + "score": -0.10735181612640707, + "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 }, { - "description": "Orion-14B 🌐English | 🇨", - "url": "https://huggingface.co./nold/Orion-14B-Base-GGUF", - "project_name": "Orion-14B-Base-GGUF", - "downloads": 97, + "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, "source": "Hugging Face", - "score": -0.1050558303466879, - "first_commit": "2024-03-07 14:56:51", - "latest_commit": "2024-03-07 19:33:53", + "score": -0.10735181612640707, + "first_commit": "2022-04-08 08:52:22", + "latest_commit": "2022-04-08 11:38:39", "languages": [], "model_or_dataset": "model", - "model_size": 14.5 - }, - { - "description": "[github].", - "url": "https://huggingface.co./datasets/fujiki/japanese_alpaca_data", - "project_name": "japanese_alpaca_data", - "downloads": 96, - "source": "Hugging Face", - "score": -0.10507043830411089, - "first_commit": "2023-05-18 07:13:15", - "latest_commit": "2023-05-19 12:54:13", - "languages": [], - "model_or_dataset": "dataset", "model_size": null }, { - "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": 95, + "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, "source": "Hugging Face", - "score": -0.10508504626153388, - "first_commit": "2023-05-08 10:10:43", - "latest_commit": "2023-05-10 00:32:23", + "score": -0.10739677482736817, + "first_commit": "2023-01-07 07:45:25", + "latest_commit": "2023-05-12 14:10:35", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.373 }, { - "description": "Japanese stopwords for nagisa", - "url": "https://huggingface.co./datasets/taishi-i/nagisa_stopwords", - "project_name": "nagisa_stopwords", - "downloads": 95, + "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, "source": "Hugging Face", - "score": -0.10508504626153388, - "first_commit": "2023-08-06 17:10:10", - "latest_commit": "2023-08-07 02:58:31", + "score": -0.10739677482736817, + "first_commit": "2024-07-05 13:53:45", + "latest_commit": "2024-07-05 13:57:08", "languages": [], "model_or_dataset": "dataset", "model_size": 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", + "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, "source": "Hugging Face", - "score": -0.1051580860486488, - "first_commit": "2024-04-07 06:23:02", - "latest_commit": "2024-04-07 15:16:42", + "score": -0.10741176106102188, + "first_commit": null, + "latest_commit": null, "languages": [], "model_or_dataset": "dataset", "model_size": 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", + "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, "source": "Hugging Face", - "score": -0.1051580860486488, - "first_commit": "2024-03-28 01:33:42", - "latest_commit": "2024-04-20 12:17:33", + "score": -0.10741176106102188, + "first_commit": "2022-01-25 16:34:54", + "latest_commit": "2023-11-02 14:52:21", "languages": [], "model_or_dataset": "dataset", "model_size": null }, { - "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": 89, + "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, "source": "Hugging Face", - "score": -0.10517269400607179, - "first_commit": "2022-05-08 03:05:08", - "latest_commit": "2022-05-08 03:29:28", + "score": -0.10744173352832928, + "first_commit": "2022-04-14 09:32:23", + "latest_commit": "2022-04-15 06:00:51", "languages": [], "model_or_dataset": "model", "model_size": 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": 89, + "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, "source": "Hugging Face", - "score": -0.10517269400607179, - "first_commit": "2023-05-18 06:29:28", - "latest_commit": "2023-06-08 05:34:26", + "score": -0.10744173352832928, + "first_commit": "2023-04-18 08:24:55", + "latest_commit": "2023-05-08 10:08:13", "languages": [], "model_or_dataset": "model", - "model_size": 0.335 + "model_size": 0.10300000000000001 }, { - "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": 88, + "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, "source": "Hugging Face", - "score": -0.10518730196349478, - "first_commit": "2024-05-13 12:02:43", - "latest_commit": "2024-05-17 00:25:10", + "score": -0.10745671976198298, + "first_commit": "2022-04-20 16:34:22", + "latest_commit": "2022-04-21 02:28:13", "languages": [], - "model_or_dataset": "dataset", + "model_or_dataset": "model", "model_size": 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", + "description": "Orion-14B 🌐English | 🇨", + "url": "https://huggingface.co./nold/Orion-14B-Base-GGUF", + "project_name": "Orion-14B-Base-GGUF", "downloads": 87, "source": "Hugging Face", - "score": -0.10520190992091775, - "first_commit": "2024-07-21 14:13:34", - "latest_commit": "2024-07-25 05:16:28", + "score": -0.10745671976198298, + "first_commit": "2024-03-07 14:56:51", + "latest_commit": "2024-03-07 19:33:53", "languages": [], "model_or_dataset": "model", - "model_size": 70.6 + "model_size": 14.5 + }, + { + "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, + "source": "Hugging Face", + "score": -0.10750167846294409, + "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": "Model card for model ID", + "url": "https://huggingface.co./retrieva-jp/t5-small-medium", + "project_name": "t5-small-medium", + "downloads": 82, + "source": "Hugging Face", + "score": -0.1075316509302515, + "first_commit": "2023-04-26 08:26:19", + "latest_commit": "2023-05-10 10:01:16", + "languages": [], + "model_or_dataset": "model", + "model_size": 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": 86, + "downloads": 81, "source": "Hugging Face", - "score": -0.10521651787834074, + "score": -0.1075466371639052, "first_commit": "2023-03-21 10:49:27", "latest_commit": "2023-07-21 14:11:13", "languages": [], @@ -8514,168 +8345,90 @@ "model_size": 0.223 }, { - "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": 86, - "source": "Hugging Face", - "score": -0.10521651787834074, - "first_commit": "2023-09-02 18:18:41", - "latest_commit": "2023-09-08 02:53:05", - "languages": [], - "model_or_dataset": "model", - "model_size": 3.71 - }, - { - "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": 85, + "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, "source": "Hugging Face", - "score": -0.10523112583576373, - "first_commit": "2023-09-26 06:16:23", - "latest_commit": "2023-09-28 00:02:06", + "score": -0.1075616233975589, + "first_commit": "2023-01-15 23:38:30", + "latest_commit": "2023-07-21 14:11:02", "languages": [], "model_or_dataset": "model", - "model_size": 1.17 + "model_size": 0.132 }, { - "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": 84, + "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, "source": "Hugging Face", - "score": -0.10524573379318672, - "first_commit": "2022-12-22 17:22:14", - "latest_commit": "2023-06-27 03:44:17", + "score": -0.1075616233975589, + "first_commit": "2024-06-05 02:19:05", + "latest_commit": "2024-06-21 06:35:41", "languages": [], "model_or_dataset": "model", - "model_size": 0.124 + "model_size": 8.03 }, { - "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": 83, + "description": "Orion-14B 🌐English | 🇨", + "url": "https://huggingface.co./OrionStarAI/Orion-14B-Chat-RAG", + "project_name": "Orion-14B-Chat-RAG", + "downloads": 80, "source": "Hugging Face", - "score": -0.1052603417506097, - "first_commit": "2022-05-10 08:37:48", - "latest_commit": "2022-10-21 14:48:46", + "score": -0.1075616233975589, + "first_commit": "2024-01-16 12:19:08", + "latest_commit": "2024-03-26 10:08:09", "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": 83, + "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": -0.1052603417506097, - "first_commit": "2024-04-28 16:24:00", - "latest_commit": "2024-04-28 16:39:03", + "score": -0.1075616233975589, + "first_commit": "2023-09-09 06:37:36", + "latest_commit": "2023-09-09 20:09:04", "languages": [], "model_or_dataset": "dataset", "model_size": null }, { - "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": 82, + "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, "source": "Hugging Face", - "score": -0.1052749497080327, - "first_commit": "2024-02-17 01:01:51", - "latest_commit": "2024-02-18 01:31:35", - "languages": [], - "model_or_dataset": "model", - "model_size": 1.54 - }, - { - "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": 81, - "source": "Hugging Face", - "score": -0.10528955766545567, - "first_commit": "2023-11-07 12:48:15", - "latest_commit": "2023-11-15 00:38:12", - "languages": [], - "model_or_dataset": "model", - "model_size": 6.74 - }, - { - "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": 80, - "source": "Hugging Face", - "score": -0.10530416562287866, - "first_commit": "2023-08-16 23:49:58", - "latest_commit": "2023-11-17 03:57:41", - "languages": [], - "model_or_dataset": "model", - "model_size": 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": 79, - "source": "Hugging Face", - "score": -0.10531877358030164, - "first_commit": "2023-11-09 06:27:40", - "latest_commit": "2023-12-21 03:07:31", + "score": -0.1075915958648663, + "first_commit": "2023-11-09 06:27:40", + "latest_commit": "2023-12-21 03:07:31", "languages": [], "model_or_dataset": "model", "model_size": 0.0996 }, { - "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": 79, - "source": "Hugging Face", - "score": -0.10531877358030164, - "first_commit": "2024-02-27 13:48:02", - "latest_commit": "2024-02-27 13:59:23", - "languages": [], - "model_or_dataset": "model", - "model_size": null - }, - { - "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": 79, + "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, "source": "Hugging Face", - "score": -0.10531877358030164, - "first_commit": "2024-06-29 03:03:03", - "latest_commit": "2024-06-29 03:40:34", + "score": -0.1076215683321737, + "first_commit": "2022-12-22 17:22:14", + "latest_commit": "2023-06-27 03:44:17", "languages": [], "model_or_dataset": "model", - "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": 79, - "source": "Hugging Face", - "score": -0.10531877358030164, - "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": 0.124 }, { "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": 78, + "downloads": 75, "source": "Hugging Face", - "score": -0.10533338153772463, + "score": -0.10763655456582741, "first_commit": "2023-09-02 14:38:55", "latest_commit": "2023-09-02 14:42:18", "languages": [], @@ -8683,142 +8436,129 @@ "model_size": null }, { - "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": 77, + "description": "Orion-14B 🌐English | 🇨", + "url": "https://huggingface.co./OrionStarAI/Orion-14B-LongChat", + "project_name": "Orion-14B-LongChat", + "downloads": 74, "source": "Hugging Face", - "score": -0.10534798949514762, - "first_commit": "2023-12-20 05:37:09", - "latest_commit": "2023-12-26 11:45:15", + "score": -0.1076515407994811, + "first_commit": "2024-01-19 07:15:36", + "latest_commit": "2024-03-26 10:10:34", "languages": [], "model_or_dataset": "model", - "model_size": 13.3 - }, - { - "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": 77, - "source": "Hugging Face", - "score": -0.10534798949514762, - "first_commit": "2023-09-09 06:37:36", - "latest_commit": "2023-09-09 20:09:04", - "languages": [], - "model_or_dataset": "dataset", "model_size": null }, { - "description": "This is a Japanese sentence-LUKE model.", - "url": "https://huggingface.co./cheonboy/sentence_embedding_japanese", - "project_name": "sentence_embedding_japanese", - "downloads": 76, + "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, "source": "Hugging Face", - "score": -0.10536259745257061, - "first_commit": "2023-10-05 05:10:25", - "latest_commit": "2023-10-05 05:13:09", + "score": -0.1076515407994811, + "first_commit": "2024-05-12 15:48:46", + "latest_commit": "2024-05-13 16:34:02", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.09509999999999999 }, { - "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": 75, + "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, "source": "Hugging Face", - "score": -0.10537720540999358, - "first_commit": "2024-01-19 06:59:08", - "latest_commit": "2024-03-04 05:24:31", + "score": -0.1076665270331348, + "first_commit": "2024-07-21 14:13:34", + "latest_commit": "2024-07-25 05:16:28", "languages": [], "model_or_dataset": "model", - "model_size": 13.1 + "model_size": 70.6 }, { - "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": 75, + "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, "source": "Hugging Face", - "score": -0.10537720540999358, - "first_commit": "2024-04-05 07:26:29", - "latest_commit": "2024-05-17 11:42:00", + "score": -0.1076964995004422, + "first_commit": "2024-05-29 12:32:29", + "latest_commit": "2024-05-29 13:51:31", "languages": [], "model_or_dataset": "model", - "model_size": 1.3 + "model_size": 7.24 }, { - "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": 74, + "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, "source": "Hugging Face", - "score": -0.10539181336741657, - "first_commit": "2024-08-07 07:11:08", - "latest_commit": "2024-08-07 07:21:07", + "score": -0.1077114857340959, + "first_commit": "2024-02-27 13:48:02", + "latest_commit": "2024-02-27 13:59:23", "languages": [], - "model_or_dataset": "dataset", + "model_or_dataset": "model", "model_size": null }, { - "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": 73, + "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, "source": "Hugging Face", - "score": -0.10540642132483956, - "first_commit": "2022-10-15 06:04:06", - "latest_commit": "2022-10-21 15:56:38", + "score": -0.1077264719677496, + "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 }, { - "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": 73, + "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, "source": "Hugging Face", - "score": -0.10540642132483956, - "first_commit": "2021-11-03 15:07:47", - "latest_commit": "2022-08-09 17:36:02", + "score": -0.1077264719677496, + "first_commit": "2024-06-29 03:03:03", + "latest_commit": "2024-06-29 03:40:34", "languages": [], "model_or_dataset": "model", "model_size": 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": 72, + "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, "source": "Hugging Face", - "score": -0.10542102928226255, - "first_commit": "2022-12-11 03:41:07", - "latest_commit": "2024-07-12 00:00:07", + "score": -0.10774145820140331, + "first_commit": "2023-06-09 15:19:12", + "latest_commit": "2023-06-09 16:08:47", "languages": [], "model_or_dataset": "model", - "model_size": 0.11 + "model_size": null }, { - "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": 72, + "description": "[EZO model card]", + "url": "https://huggingface.co./AXCXEPT/EZO-InternVL2-26B", + "project_name": "EZO-InternVL2-26B", + "downloads": 68, "source": "Hugging Face", - "score": -0.10542102928226255, - "first_commit": "2024-04-04 03:56:52", - "latest_commit": "2024-04-07 15:18:37", + "score": -0.10774145820140331, + "first_commit": "2024-08-19 08:03:55", + "latest_commit": "2024-08-23 10:56:47", "languages": [], "model_or_dataset": "model", - "model_size": 35.0 + "model_size": 25.5 }, { "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": 72, + "downloads": 68, "source": "Hugging Face", - "score": -0.10542102928226255, + "score": -0.10774145820140331, "first_commit": "2023-12-31 13:58:41", "latest_commit": "2024-02-29 02:51:20", "languages": [], @@ -8826,103 +8566,77 @@ "model_size": 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": 71, + "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, "source": "Hugging Face", - "score": -0.10543563723968553, - "first_commit": "2024-07-03 11:02:45", - "latest_commit": "2024-07-04 07:20:41", + "score": -0.10775644443505701, + "first_commit": "2023-12-20 05:37:09", + "latest_commit": "2023-12-26 11:45:15", "languages": [], "model_or_dataset": "model", - "model_size": 13.7 + "model_size": 13.3 }, { - "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": 70, + "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, "source": "Hugging Face", - "score": -0.10545024519710852, - "first_commit": "2022-09-09 02:16:34", - "latest_commit": "2022-11-01 07:18:05", + "score": -0.10775644443505701, + "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 }, { - "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": 70, + "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, "source": "Hugging Face", - "score": -0.10545024519710852, - "first_commit": "2023-06-20 07:01:53", - "latest_commit": "2023-07-24 06:49:16", + "score": -0.10777143066871071, + "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 }, { - "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": 69, + "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, "source": "Hugging Face", - "score": -0.1054648531545315, - "first_commit": "2024-03-07 06:38:01", - "latest_commit": "2024-03-07 06:48:27", + "score": -0.10780140313601812, + "first_commit": "2023-05-08 10:10:43", + "latest_commit": "2023-05-10 00:32:23", "languages": [], "model_or_dataset": "model", - "model_size": 6.95 + "model_size": 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": 69, + "downloads": 62, "source": "Hugging Face", - "score": -0.1054648531545315, + "score": -0.10783137560332552, "first_commit": "2024-01-22 03:00:02", "latest_commit": "2024-06-05 02:30:01", "languages": [], "model_or_dataset": "model", "model_size": 6.97 }, - { - "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": 68, - "source": "Hugging Face", - "score": -0.10547946111195448, - "first_commit": "2024-03-29 09:09:32", - "latest_commit": "2024-05-02 07:55:57", - "languages": [], - "model_or_dataset": "model", - "model_size": 7.32 - }, - { - "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": 68, - "source": "Hugging Face", - "score": -0.10547946111195448, - "first_commit": "2024-08-12 01:30:08", - "latest_commit": "2024-08-19 18:13:01", - "languages": [], - "model_or_dataset": "model", - "model_size": 1.54 - }, { "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": 67, + "downloads": 62, "source": "Hugging Face", - "score": -0.10549406906937747, + "score": -0.10783137560332552, "first_commit": "2023-12-20 10:56:08", "latest_commit": "2023-12-26 11:46:41", "languages": [], @@ -8930,64 +8644,25 @@ "model_size": 13.3 }, { - "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": 67, - "source": "Hugging Face", - "score": -0.10549406906937747, - "first_commit": "2024-04-27 04:32:20", - "latest_commit": "2024-05-19 03:22:08", - "languages": [], - "model_or_dataset": "dataset", - "model_size": null - }, - { - "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": 66, - "source": "Hugging Face", - "score": -0.10550867702680046, - "first_commit": "2024-02-02 06:36:01", - "latest_commit": "2024-02-13 15:19:49", - "languages": [], - "model_or_dataset": "dataset", - "model_size": null - }, - { - "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": 65, + "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, "source": "Hugging Face", - "score": -0.10552328498422345, - "first_commit": "2023-12-21 08:46:37", - "latest_commit": "2023-12-27 04:07:20", + "score": -0.10784636183697922, + "first_commit": "2023-09-02 18:18:41", + "latest_commit": "2023-09-08 02:53:05", "languages": [], "model_or_dataset": "model", - "model_size": 7.01 - }, - { - "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": 64, - "source": "Hugging Face", - "score": -0.10553789294164644, - "first_commit": "2023-05-16 19:50:04", - "latest_commit": "2023-05-21 03:50:14", - "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_size": 3.71 }, { "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": 64, + "downloads": 61, "source": "Hugging Face", - "score": -0.10553789294164644, + "score": -0.10784636183697922, "first_commit": "2023-02-04 05:10:34", "latest_commit": "2023-02-04 05:43:32", "languages": [], @@ -8995,285 +8670,337 @@ "model_size": null }, { - "description": "ja-stackoverflow 日本語版 Stack Overflow の スタック・オーバーフロー のデータダンプ をもとにデータを加工し、質問文と回答文のペアになるように調整した QA データセット。 ", - "url": "https://huggingface.co./datasets/p1atdev/ja-stackoverflow", - "project_name": "ja-stackoverflow", - "downloads": 63, + "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, "source": "Hugging Face", - "score": -0.10555250089906941, - "first_commit": "2023-12-16 02:41:12", - "latest_commit": "2023-12-21 05:30:24", + "score": -0.10784636183697922, + "first_commit": "2024-03-28 01:33:42", + "latest_commit": "2024-04-20 12:17:33", "languages": [], "model_or_dataset": "dataset", "model_size": null }, { - "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": 61, + "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": -0.10558171681391539, - "first_commit": "2022-09-08 09:09:39", - "latest_commit": "2022-11-01 07:20:52", + "score": -0.10786134807063293, + "first_commit": "2024-08-13 06:06:21", + "latest_commit": "2024-08-16 12:14:22", "languages": [], "model_or_dataset": "model", "model_size": 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": 61, + "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, "source": "Hugging Face", - "score": -0.10558171681391539, - "first_commit": "2024-02-05 00:51:47", - "latest_commit": "2024-06-28 06:38:39", + "score": -0.10786134807063293, + "first_commit": "2022-05-08 03:05:08", + "latest_commit": "2022-05-08 03:29:28", "languages": [], "model_or_dataset": "model", - "model_size": 0.265 + "model_size": null }, { - "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", + "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, "source": "Hugging Face", - "score": -0.10559632477133837, - "first_commit": "2024-01-03 04:58:17", - "latest_commit": "2024-01-03 07:09:05", + "score": -0.10786134807063293, + "first_commit": "2024-04-27 04:32:20", + "latest_commit": "2024-05-19 03:22:08", "languages": [], - "model_or_dataset": "model", - "model_size": 0.41400000000000003 + "model_or_dataset": "dataset", + "model_size": 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", + "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, "source": "Hugging Face", - "score": -0.10561093272876136, - "first_commit": "2023-10-21 13:24:11", - "latest_commit": "2024-07-19 03:07:57", + "score": -0.10787633430428663, + "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 }, { - "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", + "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, "source": "Hugging Face", - "score": -0.10564014864360732, - "first_commit": "2024-08-13 06:06:21", - "latest_commit": "2024-08-16 12:14:22", + "score": -0.10790630677159403, + "first_commit": "2021-03-27 02:27:05", + "latest_commit": "2021-09-27 20:50:17", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "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", + "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, "source": "Hugging Face", - "score": -0.10564014864360732, - "first_commit": "2023-12-08 03:20:14", - "latest_commit": "2024-03-24 12:35:36", + "score": -0.10790630677159403, + "first_commit": "2023-12-26 06:22:59", + "latest_commit": "2023-12-26 09:22:34", "languages": [], "model_or_dataset": "model", - "model_size": 0.133 + "model_size": 7.24 }, { - "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", + "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, "source": "Hugging Face", - "score": -0.10564014864360732, - "first_commit": "2023-07-07 05:53:52", - "latest_commit": "2023-07-07 17:56:03", + "score": -0.10790630677159403, + "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 }, { - "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", + "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, "source": "Hugging Face", - "score": -0.10564014864360732, - "first_commit": "2022-04-14 09:32:23", - "latest_commit": "2022-04-15 06:00:51", + "score": -0.10790630677159403, + "first_commit": "2021-09-06 10:13:42", + "latest_commit": "2023-07-04 07:05:38", "languages": [], "model_or_dataset": "model", "model_size": 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｡ 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", + "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, "source": "Hugging Face", - "score": -0.10564014864360732, - "first_commit": "2024-05-18 03:55:41", - "latest_commit": "2024-05-19 09:25:43", + "score": -0.10790630677159403, + "first_commit": "2024-01-19 06:59:08", + "latest_commit": "2024-03-04 05:24:31", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": 13.1 }, { - "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", + "description": "Model card for model ID", + "url": "https://huggingface.co./retrieva-jp/t5-base-medium", + "project_name": "t5-base-medium", "downloads": 56, "source": "Hugging Face", - "score": -0.10565475660103031, - "first_commit": "2022-10-14 07:50:13", - "latest_commit": "2022-10-18 12:13:20", + "score": -0.10792129300524773, + "first_commit": "2023-04-26 08:27:09", + "latest_commit": "2023-05-10 10:00:12", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "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", + "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, "source": "Hugging Face", - "score": -0.10565475660103031, - "first_commit": "2023-09-26 06:16:04", - "latest_commit": "2023-09-27 23:54:44", + "score": -0.10792129300524773, + "first_commit": "2023-12-08 03:20:14", + "latest_commit": "2024-03-24 12:35:36", "languages": [], "model_or_dataset": "model", - "model_size": 0.771 + "model_size": 0.133 }, { - "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": 55, + "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, "source": "Hugging Face", - "score": -0.1056693645584533, - "first_commit": "2023-06-03 12:51:12", - "latest_commit": "2023-06-20 10:49:17", + "score": -0.10792129300524773, + "first_commit": "2024-06-13 03:23:05", + "latest_commit": "2024-06-15 14:58:10", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 7.62 }, { - "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": 55, + "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, "source": "Hugging Face", - "score": -0.1056693645584533, - "first_commit": "2024-05-29 12:32:29", - "latest_commit": "2024-05-29 13:51:31", + "score": -0.10792129300524773, + "first_commit": "2024-06-10 10:10:19", + "latest_commit": "2024-06-21 06:35:31", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": 8.03 }, { - "description": "BERT for Japanese Twitter", - "url": "https://huggingface.co./LoneWolfgang/bert-for-japanese-twitter", - "project_name": "bert-for-japanese-twitter", - "downloads": 54, + "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, "source": "Hugging Face", - "score": -0.10568397251587629, - "first_commit": "2024-05-06 15:53:21", - "latest_commit": "2024-08-09 12:24:35", + "score": -0.10792129300524773, + "first_commit": "2024-03-07 06:38:01", + "latest_commit": "2024-03-07 06:48:27", "languages": [], "model_or_dataset": "model", - "model_size": 0.111 + "model_size": 6.95 }, { - "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": 54, + "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, "source": "Hugging Face", - "score": -0.10568397251587629, - "first_commit": "2021-03-27 02:27:05", - "latest_commit": "2021-09-27 20:50:17", + "score": -0.10792129300524773, + "first_commit": "2023-12-21 08:46:37", + "latest_commit": "2023-12-27 04:07:20", + "languages": [], + "model_or_dataset": "model", + "model_size": 7.01 + }, + { + "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���(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, + "source": "Hugging Face", + "score": -0.10792129300524773, + "first_commit": "2023-06-20 07:01:53", + "latest_commit": "2023-07-24 06:49:16", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "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, + "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, "source": "Hugging Face", - "score": -0.10569858047329928, - "first_commit": "2023-09-26 06:15:16", - "latest_commit": "2023-09-29 03:19:23", + "score": -0.10793627923890144, + "first_commit": "2023-07-07 05:53:52", + "latest_commit": "2023-07-07 17:56:03", "languages": [], "model_or_dataset": "model", - "model_size": 0.446 + "model_size": 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": 53, + "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, "source": "Hugging Face", - "score": -0.10569858047329928, - "first_commit": "2024-05-19 02:45:59", - "latest_commit": "2024-05-19 14:17:58", + "score": -0.10793627923890144, + "first_commit": "2022-01-27 08:08:53", + "latest_commit": "2022-02-04 02:39:25", "languages": [], - "model_or_dataset": "dataset", + "model_or_dataset": "model", "model_size": null }, { - "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": 52, + "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, "source": "Hugging Face", - "score": -0.10571318843072226, - "first_commit": "2024-02-20 11:32:57", - "latest_commit": "2024-02-27 13:57:20", + "score": -0.10795126547255514, + "first_commit": "2023-03-31 02:28:09", + "latest_commit": "2023-03-31 13:13:37", "languages": [], "model_or_dataset": "model", "model_size": 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": 52, + "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, "source": "Hugging Face", - "score": -0.10571318843072226, - "first_commit": "2022-06-04 02:30:34", - "latest_commit": "2022-06-25 15:36:22", + "score": -0.10796625170620884, + "first_commit": "2023-06-03 12:51:12", + "latest_commit": "2023-06-20 10:49:17", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "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": "BERT for Japanese Twitter", + "url": "https://huggingface.co./LoneWolfgang/bert-for-japanese-twitter", + "project_name": "bert-for-japanese-twitter", + "downloads": 53, + "source": "Hugging Face", + "score": -0.10796625170620884, + "first_commit": "2024-05-06 15:53:21", + "latest_commit": "2024-08-09 12:24:35", + "languages": [], + "model_or_dataset": "model", + "model_size": 0.111 + }, + { + "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, + "source": "Hugging Face", + "score": -0.10796625170620884, + "first_commit": "2024-02-05 00:51:47", + "latest_commit": "2024-06-28 06:38:39", + "languages": [], + "model_or_dataset": "model", + "model_size": 0.265 + }, + { + "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, "source": "Hugging Face", - "score": -0.10571318843072226, - "first_commit": "2021-10-17 08:02:54", - "latest_commit": "2021-11-10 15:28:57", + "score": -0.10798123793986254, + "first_commit": "2023-09-26 06:16:04", + "latest_commit": "2023-09-27 23:54:44", "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": -0.10799622417351624, + "first_commit": "2024-05-18 03:55:41", + "latest_commit": "2024-05-19 09:25:43", + "languages": [], + "model_or_dataset": "dataset", "model_size": null }, { "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": 52, + "downloads": 50, "source": "Hugging Face", - "score": -0.10571318843072226, + "score": -0.10801121040716995, "first_commit": "2023-09-26 06:15:31", "latest_commit": "2023-09-29 03:09:03", "languages": [], @@ -9281,56 +9008,43 @@ "model_size": 0.625 }, { - "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": 51, - "source": "Hugging Face", - "score": -0.10572779638814524, - "first_commit": "2024-07-20 05:30:59", - "latest_commit": "2024-07-20 05:33:38", - "languages": [], - "model_or_dataset": "model", - "model_size": 0.276 - }, - { - "description": "名言推論モデル", - "url": "https://huggingface.co./Momerio/meigen_generate_Japanese", - "project_name": "meigen_generate_Japanese", + "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, "source": "Hugging Face", - "score": -0.10574240434556822, - "first_commit": "2021-10-13 15:30:14", - "latest_commit": "2021-10-26 01:19:59", + "score": -0.10801121040716995, + "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 }, { - "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": 49, + "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, "source": "Hugging Face", - "score": -0.10575701230299121, - "first_commit": "2023-08-10 06:04:58", - "latest_commit": "2023-11-28 13:35:07", + "score": -0.10801121040716995, + "first_commit": "2023-09-14 04:15:52", + "latest_commit": "2024-06-03 05:10:11", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.111 }, { - "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": 49, + "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": 50, "source": "Hugging Face", - "score": -0.10575701230299121, - "first_commit": "2024-04-30 09:33:26", - "latest_commit": "2024-05-01 04:54:26", + "score": -0.10801121040716995, + "first_commit": "2024-05-25 16:56:18", + "latest_commit": "2024-05-26 15:20:52", "languages": [], "model_or_dataset": "model", - "model_size": 2.86 + "model_size": 7.24 }, { "description": "japanese-large-lm-3.6b-instruction-sft-4bit-32g-actorder_False", @@ -9338,7 +9052,7 @@ "project_name": "japanese-large-lm-3.6b-instruction-sft-4bit-32g-actorder_False", "downloads": 49, "source": "Hugging Face", - "score": -0.10575701230299121, + "score": -0.10802619664082365, "first_commit": "2023-09-26 06:15:51", "latest_commit": "2023-09-27 23:56:05", "languages": [], @@ -9346,298 +9060,298 @@ "model_size": 0.861 }, { - "description": "transformers-ud-japanese-electra-ginza-520 (sudachitra-wordpiece, mC4 Japanese)", - "url": "https://huggingface.co./megagonlabs/transformers-ud-japanese-electra-base-ginza-520", - "project_name": "transformers-ud-japanese-electra-base-ginza-520", - "downloads": 48, + "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, "source": "Hugging Face", - "score": -0.1057716202604142, - "first_commit": "2023-09-21 14:14:04", - "latest_commit": "2023-09-21 17:45:45", + "score": -0.10802619664082365, + "first_commit": "2022-10-15 06:04:06", + "latest_commit": "2022-10-21 15:56:38", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "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": 48, + "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": -0.1057716202604142, - "first_commit": "2024-04-24 02:26:58", - "latest_commit": "2024-06-03 01:02:33", + "score": -0.10802619664082365, + "first_commit": "2024-06-01 10:40:37", + "latest_commit": "2024-06-01 15:55:51", "languages": [], "model_or_dataset": "model", - "model_size": 1.1 + "model_size": 7.33 }, { - "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": 47, + "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, "source": "Hugging Face", - "score": -0.10578622821783719, - "first_commit": "2023-09-26 06:14:25", - "latest_commit": "2023-09-27 01:23:34", + "score": -0.10802619664082365, + "first_commit": "2023-08-16 23:49:58", + "latest_commit": "2023-11-17 03:57:41", "languages": [], "model_or_dataset": "model", - "model_size": 0.487 + "model_size": null }, { - "description": "One more step before getting this model.", - "url": "https://huggingface.co./rinna/japanese-stable-diffusion", - "project_name": "japanese-stable-diffusion", - "downloads": 47, + "description": "名言推論モデル", + "url": "https://huggingface.co./Momerio/meigen_generate_Japanese", + "project_name": "meigen_generate_Japanese", + "downloads": 49, "source": "Hugging Face", - "score": -0.10578622821783719, - "first_commit": null, - "latest_commit": null, + "score": -0.10802619664082365, + "first_commit": "2021-10-13 15:30:14", + "latest_commit": "2021-10-26 01:19:59", "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-beta-70B-GPTQ", - "project_name": "japanese-stablelm-instruct-beta-70B-GPTQ", - "downloads": 47, + "description": "roberta-long-japanese (jumanpp + sentencepiece, mC4 Japanese)", + "url": "https://huggingface.co./megagonlabs/roberta-long-japanese", + "project_name": "roberta-long-japanese", + "downloads": 49, "source": "Hugging Face", - "score": -0.10578622821783719, - "first_commit": "2023-11-02 15:45:24", - "latest_commit": "2023-11-02 20:04:07", + "score": -0.10802619664082365, + "first_commit": "2022-09-04 14:31:06", + "latest_commit": "2022-10-04 23:36:27", "languages": [], "model_or_dataset": "model", - "model_size": 9.1 + "model_size": null }, { - "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": "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, "source": "Hugging Face", - "score": -0.10578622821783719, - "first_commit": "2024-04-24 16:21:32", - "latest_commit": "2024-05-01 07:41:46", + "score": -0.10804118287447735, + "first_commit": "2024-02-20 11:32:57", + "latest_commit": "2024-02-27 13:57:20", "languages": [], "model_or_dataset": "model", - "model_size": 3.82 + "model_size": null }, { - "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": 45, + "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, "source": "Hugging Face", - "score": -0.10581544413268315, - "first_commit": "2023-01-23 06:25:08", - "latest_commit": "2023-02-07 15:49:33", + "score": -0.10804118287447735, + "first_commit": "2023-06-06 08:21:13", + "latest_commit": "2023-07-24 07:12:05", "languages": [], "model_or_dataset": "model", "model_size": 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": 44, + "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, "source": "Hugging Face", - "score": -0.10583005209010614, - "first_commit": "2023-12-19 08:11:51", - "latest_commit": "2024-07-20 08:29:58", + "score": -0.10804118287447735, + "first_commit": "2020-08-19 00:28:58", + "latest_commit": "2023-08-16 11:59:12", "languages": [], "model_or_dataset": "model", - "model_size": 14.2 + "model_size": 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": 44, + "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, "source": "Hugging Face", - "score": -0.10583005209010614, - "first_commit": "2023-09-14 04:15:52", - "latest_commit": "2024-06-03 05:10:11", + "score": -0.10805616910813105, + "first_commit": "2022-10-14 07:50:13", + "latest_commit": "2022-10-18 12:13:20", "languages": [], "model_or_dataset": "model", - "model_size": 0.111 + "model_size": 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": 43, + "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, "source": "Hugging Face", - "score": -0.10584466004752913, - "first_commit": "2022-08-27 08:51:11", - "latest_commit": "2022-11-05 09:34:10", + "score": -0.10805616910813105, + "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 }, { - "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": 43, + "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, "source": "Hugging Face", - "score": -0.10584466004752913, - "first_commit": "2023-12-27 11:18:45", - "latest_commit": "2023-12-27 12:07:30", + "score": -0.10807115534178476, + "first_commit": "2024-07-20 05:30:59", + "latest_commit": "2024-07-20 05:33:38", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.276 }, { - "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, + "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, "source": "Hugging Face", - "score": -0.10585926800495211, - "first_commit": "2021-11-15 17:39:41", - "latest_commit": "2022-12-09 00:43:19", + "score": -0.10807115534178476, + "first_commit": "2024-07-03 13:21:22", + "latest_commit": "2024-07-03 13:53:20", "languages": [], - "model_or_dataset": "model", + "model_or_dataset": "dataset", "model_size": null }, { - "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": 42, + "description": "One more step before getting this model.", + "url": "https://huggingface.co./rinna/japanese-stable-diffusion", + "project_name": "japanese-stable-diffusion", + "downloads": 45, "source": "Hugging Face", - "score": -0.10585926800495211, - "first_commit": "2023-10-24 14:10:27", - "latest_commit": "2023-10-26 04:22:46", + "score": -0.10808614157543846, + "first_commit": null, + "latest_commit": null, "languages": [], "model_or_dataset": "model", "model_size": null }, { - "description": "Danbooru2023:", - "url": "https://huggingface.co./datasets/nyanko7/danbooru2023", - "project_name": "danbooru2023", - "downloads": 42, + "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, "source": "Hugging Face", - "score": -0.10585926800495211, - "first_commit": "2024-01-07 19:51:58", - "latest_commit": "2024-05-22 18:43:24", + "score": -0.10808614157543846, + "first_commit": "2023-08-10 06:04:58", + "latest_commit": "2023-11-28 13:35:07", "languages": [], - "model_or_dataset": "dataset", + "model_or_dataset": "model", "model_size": null }, { - "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": 42, + "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": -0.10585926800495211, - "first_commit": "2023-06-19 12:31:46", - "latest_commit": "2023-10-25 15:22:46", + "score": -0.10808614157543846, + "first_commit": "2024-08-16 16:46:49", + "latest_commit": "2024-08-19 02:56:14", "languages": [], - "model_or_dataset": "dataset", + "model_or_dataset": "model", "model_size": 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": "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, "source": "Hugging Face", - "score": -0.10585926800495211, - "first_commit": "2024-02-28 07:58:55", - "latest_commit": "2024-03-05 23:30:38", + "score": -0.10808614157543846, + "first_commit": "2022-11-15 05:14:35", + "latest_commit": "2023-02-13 10:26:12", "languages": [], - "model_or_dataset": "dataset", + "model_or_dataset": "model", "model_size": null }, { - "description": "roberta-base-japanese-jsnli This model is a fine-tuned version of nlp-waseda/roberta-base-japanese on the JSNLI dataset.", - "url": "https://huggingface.co./Formzu/roberta-base-japanese-jsnli", - "project_name": "roberta-base-japanese-jsnli", - "downloads": 41, + "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, "source": "Hugging Face", - "score": -0.1058738759623751, - "first_commit": "2022-10-14 07:50:47", - "latest_commit": "2022-10-19 11:08:59", + "score": -0.10808614157543846, + "first_commit": "2022-05-10 08:37:48", + "latest_commit": "2022-10-21 14:48:46", "languages": [], "model_or_dataset": "model", "model_size": 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": 41, + "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, "source": "Hugging Face", - "score": -0.1058738759623751, - "first_commit": "2024-05-21 12:11:38", - "latest_commit": "2024-05-24 15:11:43", + "score": -0.10808614157543846, + "first_commit": "2024-05-19 02:45:59", + "latest_commit": "2024-05-19 14:17:58", "languages": [], - "model_or_dataset": "model", - "model_size": 7.24 + "model_or_dataset": "dataset", + "model_size": null }, { - "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": 40, + "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": 45, "source": "Hugging Face", - "score": -0.10588848391979809, - "first_commit": "2024-08-16 16:46:49", - "latest_commit": "2024-08-19 02:56:14", + "score": -0.10808614157543846, + "first_commit": "2024-03-21 02:24:27", + "latest_commit": "2024-03-21 12:40:15", "languages": [], - "model_or_dataset": "model", + "model_or_dataset": "dataset", "model_size": null }, { - "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": 40, + "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": -0.10588848391979809, - "first_commit": "2024-05-20 13:04:23", - "latest_commit": "2024-05-24 15:10:41", + "score": -0.10810112780909216, + "first_commit": "2023-09-26 06:14:25", + "latest_commit": "2023-09-27 01:23:34", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": 0.487 }, { - "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": 39, + "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, "source": "Hugging Face", - "score": -0.10590309187722106, - "first_commit": "2024-06-13 03:23:05", - "latest_commit": "2024-06-15 14:58:10", + "score": -0.10810112780909216, + "first_commit": "2023-12-27 11:18:45", + "latest_commit": "2023-12-27 12:07:30", "languages": [], "model_or_dataset": "model", - "model_size": 7.62 + "model_size": null }, { - "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": 38, + "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, "source": "Hugging Face", - "score": -0.10591769983464405, - "first_commit": "2021-04-03 13:55:25", - "latest_commit": "2024-04-17 11:39:12", + "score": -0.10811611404274585, + "first_commit": "2023-11-02 15:45:24", + "latest_commit": "2023-11-02 20:04:07", "languages": [], "model_or_dataset": "model", - "model_size": 0.223 + "model_size": 9.1 }, { "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": 38, + "downloads": 42, "source": "Hugging Face", - "score": -0.10591769983464405, + "score": -0.10813110027639955, "first_commit": "2024-06-10 11:21:01", "latest_commit": "2024-06-21 06:35:03", "languages": [], @@ -9645,181 +9359,116 @@ "model_size": 8.03 }, { - "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": 37, + "description": "Danbooru2023:", + "url": "https://huggingface.co./datasets/nyanko7/danbooru2023", + "project_name": "danbooru2023", + "downloads": 42, "source": "Hugging Face", - "score": -0.10593230779206704, - "first_commit": "2024-04-16 03:06:14", - "latest_commit": "2024-04-20 09:14:10", + "score": -0.10813110027639955, + "first_commit": "2024-01-07 19:51:58", + "latest_commit": "2024-05-22 18:43:24", "languages": [], - "model_or_dataset": "model", - "model_size": 46.9 + "model_or_dataset": "dataset", + "model_size": 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": 36, + "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, "source": "Hugging Face", - "score": -0.10594691574949003, - "first_commit": "2022-10-30 08:19:13", - "latest_commit": "2023-05-16 09:23:49", + "score": -0.10813110027639955, + "first_commit": "2023-05-16 19:50:04", + "latest_commit": "2023-05-21 03:50:14", "languages": [], - "model_or_dataset": "model", + "model_or_dataset": "dataset", "model_size": 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": 36, + "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, "source": "Hugging Face", - "score": -0.10594691574949003, - "first_commit": "2023-09-06 09:31:44", - "latest_commit": "2023-09-07 16:59:14", + "score": -0.10813110027639955, + "first_commit": "2024-07-16 08:12:30", + "latest_commit": "2024-07-28 12:33:15", "languages": [], - "model_or_dataset": "model", + "model_or_dataset": "dataset", "model_size": null }, { - "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": 36, + "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": -0.10594691574949003, - "first_commit": "2024-05-15 12:24:06", - "latest_commit": "2024-05-22 11:02:28", - "languages": [], - "model_or_dataset": "model", - "model_size": 8.03 - }, - { - "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": 36, - "source": "Hugging Face", - "score": -0.10594691574949003, - "first_commit": "2024-03-05 10:32:32", - "latest_commit": "2024-07-22 08:12:56", - "languages": [], - "model_or_dataset": "model", - "model_size": 0.0932 - }, - { - "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": 35, - "source": "Hugging Face", - "score": -0.10596152370691302, - "first_commit": "2020-08-19 00:28:58", - "latest_commit": "2023-08-16 11:59:12", + "score": -0.10813110027639955, + "first_commit": "2024-02-28 07:58:55", + "latest_commit": "2024-03-05 23:30:38", "languages": [], - "model_or_dataset": "model", + "model_or_dataset": "dataset", "model_size": null }, { - "description": "Model card for model ID", - "url": "https://huggingface.co./retrieva-jp/t5-xl", - "project_name": "t5-xl", - "downloads": 35, + "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, "source": "Hugging Face", - "score": -0.10596152370691302, - "first_commit": "2023-04-26 07:19:08", - "latest_commit": "2023-05-10 10:01:04", + "score": -0.10814608651005325, + "first_commit": "2021-11-15 17:39:41", + "latest_commit": "2022-12-09 00:43:19", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "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": 35, - "source": "Hugging Face", - "score": -0.10596152370691302, - "first_commit": "2024-05-25 16:56:18", - "latest_commit": "2024-05-26 15:20:52", - "languages": [], - "model_or_dataset": "model", - "model_size": 7.24 - }, - { - "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": 35, - "source": "Hugging Face", - "score": -0.10596152370691302, - "first_commit": "2024-06-09 12:17:00", - "latest_commit": "2024-06-11 07:39:45", - "languages": [], - "model_or_dataset": "model", - "model_size": 13.7 - }, - { - "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": 35, + "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, "source": "Hugging Face", - "score": -0.10596152370691302, - "first_commit": "2023-01-18 15:43:39", - "latest_commit": "2023-01-19 10:14:36", + "score": -0.10814608651005325, + "first_commit": "2023-10-24 14:10:27", + "latest_commit": "2023-10-26 04:22:46", "languages": [], "model_or_dataset": "model", "model_size": 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": 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": -0.105976131664336, - "first_commit": "2021-12-27 11:57:10", - "latest_commit": "2022-07-31 07:54:13", + "score": -0.10814608651005325, + "first_commit": "2023-11-10 07:36:40", + "latest_commit": "2023-11-10 22:46:29", "languages": [], - "model_or_dataset": "model", + "model_or_dataset": "dataset", "model_size": null }, { - "description": "Orion-14B 🌐English | 🇨", - "url": "https://huggingface.co./OrionStarAI/Orion-14B-Base-Int4", - "project_name": "Orion-14B-Base-Int4", - "downloads": 34, - "source": "Hugging Face", - "score": -0.105976131664336, - "first_commit": "2024-01-18 09:50:31", - "latest_commit": "2024-03-26 09:55:37", - "languages": [], - "model_or_dataset": "model", - "model_size": 2.69 - }, - { - "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": 34, + "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, "source": "Hugging Face", - "score": -0.105976131664336, - "first_commit": "2023-03-02 03:57:33", - "latest_commit": "2023-07-21 14:10:48", + "score": -0.10817605897736066, + "first_commit": "2022-10-15 05:40:40", + "latest_commit": "2022-10-21 15:55:27", "languages": [], "model_or_dataset": "model", - "model_size": 0.279 + "model_size": null }, { "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": 34, + "downloads": 39, "source": "Hugging Face", - "score": -0.105976131664336, + "score": -0.10817605897736066, "first_commit": "2022-12-22 17:19:15", "latest_commit": "2023-03-08 01:47:12", "languages": [], @@ -9827,90 +9476,38 @@ "model_size": 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": 34, - "source": "Hugging Face", - "score": -0.105976131664336, - "first_commit": "2021-12-09 08:09:40", - "latest_commit": "2021-12-09 17:59:05", - "languages": [], - "model_or_dataset": "model", - "model_size": null - }, - { - "description": "defamation_japanese_twitter Twitter日本語誹謗中傷検出データセット Dataset Summary SNSにおける誹謗中傷検出のためのデータセットです． ", - "url": "https://huggingface.co./datasets/kubota/defamation-japanese-twitter", - "project_name": "defamation-japanese-twitter", - "downloads": 34, - "source": "Hugging Face", - "score": -0.105976131664336, - "first_commit": "2023-01-20 06:50:46", - "latest_commit": "2023-02-06 18:26:10", - "languages": [], - "model_or_dataset": "dataset", - "model_size": null - }, - { - "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": -0.105976131664336, - "first_commit": "2024-03-05 13:46:13", - "latest_commit": "2024-03-06 08:34:02", - "languages": [], - "model_or_dataset": "dataset", - "model_size": null - }, - { - "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": 33, - "source": "Hugging Face", - "score": -0.10599073962175898, - "first_commit": "2024-06-01 10:40:37", - "latest_commit": "2024-06-01 15:55:51", - "languages": [], - "model_or_dataset": "model", - "model_size": 7.33 - }, - { - "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": 33, + "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, "source": "Hugging Face", - "score": -0.10599073962175898, - "first_commit": "2024-02-15 22:45:08", - "latest_commit": "2024-04-16 22:32:15", + "score": -0.10817605897736066, + "first_commit": "2024-05-21 12:11:38", + "latest_commit": "2024-05-24 15:11:43", "languages": [], "model_or_dataset": "model", - "model_size": 6.95 + "model_size": 7.24 }, { - "description": "[EZO model card]", - "url": "https://huggingface.co./HODACHI/EZO-InternVL2-26B", - "project_name": "EZO-InternVL2-26B", - "downloads": 32, + "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, "source": "Hugging Face", - "score": -0.10600534757918197, - "first_commit": "2024-08-19 08:03:55", - "latest_commit": "2024-08-19 10:54:31", + "score": -0.10819104521101436, + "first_commit": "2024-04-24 02:26:58", + "latest_commit": "2024-06-03 01:02:33", "languages": [], "model_or_dataset": "model", - "model_size": 25.5 + "model_size": 1.1 }, { "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": 32, + "downloads": 37, "source": "Hugging Face", - "score": -0.10600534757918197, + "score": -0.10820603144466806, "first_commit": "2023-06-06 08:22:28", "latest_commit": "2023-07-24 07:14:59", "languages": [], @@ -9918,480 +9515,324 @@ "model_size": null }, { - "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": 32, - "source": "Hugging Face", - "score": -0.10600534757918197, - "first_commit": "2024-05-26 06:36:42", - "latest_commit": "2024-06-01 11:54:18", - "languages": [], - "model_or_dataset": "model", - "model_size": 7.24 - }, - { - "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": 32, - "source": "Hugging Face", - "score": -0.10600534757918197, - "first_commit": "2021-10-17 14:46:56", - "latest_commit": "2022-02-21 13:39:01", - "languages": [], - "model_or_dataset": "model", - "model_size": null - }, - { - "description": "yacis-electra-small", - "url": "https://huggingface.co./ptaszynski/yacis-electra-small-japanese", - "project_name": "yacis-electra-small-japanese", - "downloads": 31, - "source": "Hugging Face", - "score": -0.10601995553660495, - "first_commit": "2022-01-12 01:48:13", - "latest_commit": "2022-01-13 01:43:17", - "languages": [], - "model_or_dataset": "model", - "model_size": null - }, - { - "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": 31, - "source": "Hugging Face", - "score": -0.10601995553660495, - "first_commit": "2022-11-30 04:33:31", - "latest_commit": "2023-06-21 04:29:10", - "languages": [], - "model_or_dataset": "model", - "model_size": 1.61 - }, - { - "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": 31, - "source": "Hugging Face", - "score": -0.10601995553660495, - "first_commit": "2023-11-06 11:33:47", - "latest_commit": "2023-11-09 18:16:05", - "languages": [], - "model_or_dataset": "model", - "model_size": 9.68 - }, - { - "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": 31, - "source": "Hugging Face", - "score": -0.10601995553660495, - "first_commit": "2023-12-19 08:12:06", - "latest_commit": "2024-07-20 08:34:05", - "languages": [], - "model_or_dataset": "model", - "model_size": 14.2 - }, - { - "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": 31, - "source": "Hugging Face", - "score": -0.10601995553660495, - "first_commit": "2024-06-05 02:19:05", - "latest_commit": "2024-06-21 06:35:41", - "languages": [], - "model_or_dataset": "model", - "model_size": 8.03 - }, - { - "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": 31, - "source": "Hugging Face", - "score": -0.10601995553660495, - "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": "[Under Construction]", - "url": "https://huggingface.co./datasets/bclavie/mmarco-japanese-hard-negatives", - "project_name": "mmarco-japanese-hard-negatives", - "downloads": 31, - "source": "Hugging Face", - "score": -0.10601995553660495, - "first_commit": "2023-12-24 13:04:27", - "latest_commit": "2023-12-24 18:52:04", - "languages": [], - "model_or_dataset": "dataset", - "model_size": 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": 30, - "source": "Hugging Face", - "score": -0.10603456349402794, - "first_commit": "2023-11-02 15:45:23", - "latest_commit": "2023-11-09 18:16:16", - "languages": [], - "model_or_dataset": "model", - "model_size": 9.68 - }, - { - "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": 30, - "source": "Hugging Face", - "score": -0.10603456349402794, - "first_commit": "2024-01-23 14:14:39", - "latest_commit": "2024-01-25 06:30:57", - "languages": [], - "model_or_dataset": "model", - "model_size": 13.1 - }, - { - "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": 30, - "source": "Hugging Face", - "score": -0.10603456349402794, - "first_commit": "2024-06-10 10:10:19", - "latest_commit": "2024-06-21 06:35:31", - "languages": [], - "model_or_dataset": "model", - "model_size": 8.03 - }, - { - "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": 30, + "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, "source": "Hugging Face", - "score": -0.10603456349402794, - "first_commit": "2023-09-12 09:29:10", - "latest_commit": "2023-10-02 10:25:36", + "score": -0.10820603144466806, + "first_commit": "2024-03-05 10:32:32", + "latest_commit": "2024-07-22 08:12:56", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.0932 }, { - "description": "deberta-large-japanese-wikipedia Model Description", - "url": "https://huggingface.co./KoichiYasuoka/deberta-large-japanese-wikipedia", - "project_name": "deberta-large-japanese-wikipedia", - "downloads": 30, + "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, "source": "Hugging Face", - "score": -0.10603456349402794, - "first_commit": "2022-07-05 22:01:16", - "latest_commit": "2023-02-27 10:15:35", + "score": -0.10820603144466806, + "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 }, { - "description": "roberta-long-japanese (jumanpp + sentencepiece, mC4 Japanese)", - "url": "https://huggingface.co./megagonlabs/roberta-long-japanese", - "project_name": "roberta-long-japanese", - "downloads": 29, + "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, "source": "Hugging Face", - "score": -0.10604917145145093, - "first_commit": "2022-09-04 14:31:06", - "latest_commit": "2022-10-04 23:36:27", + "score": -0.10820603144466806, + "first_commit": "2021-03-21 19:07:13", + "latest_commit": "2022-05-26 13:50:56", "languages": [], "model_or_dataset": "model", "model_size": 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-mC4-Wikipedia", - "project_name": "t5-base-japanese-mC4-Wikipedia", - "downloads": 29, + "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, "source": "Hugging Face", - "score": -0.10604917145145093, - "first_commit": "2021-06-30 12:53:09", - "latest_commit": "2021-09-23 18:29:58", + "score": -0.10820603144466806, + "first_commit": "2024-02-12 14:03:42", + "latest_commit": "2024-03-16 07:55:08", "languages": [], - "model_or_dataset": "model", + "model_or_dataset": "dataset", "model_size": 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", - "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": 36, "source": "Hugging Face", - "score": -0.10604917145145093, - "first_commit": "2022-04-30 13:57:31", - "latest_commit": "2022-05-22 05:51:12", + "score": -0.10822101767832176, + "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 }, { - "description": "Model card for model ID", - "url": "https://huggingface.co./retrieva-jp/t5-base-short", - "project_name": "t5-base-short", - "downloads": 29, + "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, "source": "Hugging Face", - "score": -0.10604917145145093, - "first_commit": "2023-04-26 08:20:52", - "latest_commit": "2023-05-10 10:00:23", + "score": -0.10823600391197546, + "first_commit": "2024-05-20 13:04:23", + "latest_commit": "2024-05-24 15:10:41", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 7.24 }, { - "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": 29, + "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": -0.10604917145145093, - "first_commit": "2024-05-06 04:07:19", - "latest_commit": "2024-05-06 11:33:32", + "score": -0.10823600391197546, + "first_commit": "2024-03-26 06:08:27", + "latest_commit": "2024-04-02 04:46:10", "languages": [], - "model_or_dataset": "model", - "model_size": 7.06 + "model_or_dataset": "dataset", + "model_size": 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": 29, + "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, "source": "Hugging Face", - "score": -0.10604917145145093, - "first_commit": "2023-09-06 09:04:40", - "latest_commit": "2023-09-11 16:56:39", + "score": -0.10823600391197546, + "first_commit": "2023-05-23 14:45:27", + "latest_commit": "2024-02-17 16:17:18", "languages": [], - "model_or_dataset": "model", + "model_or_dataset": "dataset", "model_size": 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": 29, + "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, "source": "Hugging Face", - "score": -0.10604917145145093, - "first_commit": "2023-05-26 09:38:08", - "latest_commit": "2023-07-21 14:10:18", + "score": -0.10825099014562917, + "first_commit": "2021-04-21 11:28:11", + "latest_commit": "2021-05-18 22:55:03", "languages": [], "model_or_dataset": "model", - "model_size": 0.336 + "model_size": null }, { - "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": 29, + "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, "source": "Hugging Face", - "score": -0.10604917145145093, - "first_commit": "2023-02-13 10:48:22", - "latest_commit": "2023-02-15 13:43:48", + "score": -0.10825099014562917, + "first_commit": "2020-08-19 00:29:11", + "latest_commit": "2023-08-16 11:59:16", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "description": "recruit-jp/japanese-image-classification-evaluation-dataset Overview Developed by: Recruit Co.", - "url": "https://huggingface.co./datasets/recruit-jp/japanese-image-classification-evaluation-dataset", - "project_name": "japanese-image-classification-evaluation-dataset", - "downloads": 29, + "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": -0.10604917145145093, - "first_commit": "2023-12-19 09:17:24", - "latest_commit": "2024-01-22 10:48:13", + "score": -0.10825099014562917, + "first_commit": "2024-03-05 13:46:13", + "latest_commit": "2024-03-06 08:34:02", "languages": [], "model_or_dataset": "dataset", "model_size": null }, { - "description": "deberta-base-japanese-wikipedia Model Description", - "url": "https://huggingface.co./KoichiYasuoka/deberta-base-japanese-wikipedia", - "project_name": "deberta-base-japanese-wikipedia", - "downloads": 28, + "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, "source": "Hugging Face", - "score": -0.10606377940887392, - "first_commit": "2022-06-25 03:46:58", - "latest_commit": "2023-01-27 17:51:51", + "score": -0.10826597637928287, + "first_commit": "2023-09-06 09:31:44", + "latest_commit": "2023-09-07 16:59:14", "languages": [], "model_or_dataset": "model", "model_size": 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": 28, + "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, "source": "Hugging Face", - "score": -0.10606377940887392, - "first_commit": "2023-06-06 08:21:13", - "latest_commit": "2023-07-24 07:12:05", + "score": -0.10826597637928287, + "first_commit": "2024-02-02 12:39:11", + "latest_commit": "2024-02-03 00:28:28", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 1.88 }, { - "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": 28, + "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, "source": "Hugging Face", - "score": -0.10606377940887392, - "first_commit": "2023-10-18 18:53:58", - "latest_commit": "2023-10-20 08:41:20", + "score": -0.10826597637928287, + "first_commit": "2023-06-19 12:31:46", + "latest_commit": "2023-10-25 15:22:46", "languages": [], - "model_or_dataset": "model", + "model_or_dataset": "dataset", "model_size": null }, { - "description": "Model card for model ID", - "url": "https://huggingface.co./retrieva-jp/t5-base-medium", - "project_name": "t5-base-medium", - "downloads": 28, + "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, "source": "Hugging Face", - "score": -0.10606377940887392, - "first_commit": "2023-04-26 08:27:09", - "latest_commit": "2023-05-10 10:00:12", + "score": -0.10826597637928287, + "first_commit": "2024-02-29 15:23:48", + "latest_commit": "2024-04-25 12:49:28", "languages": [], - "model_or_dataset": "model", + "model_or_dataset": "dataset", "model_size": null }, { - "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": 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": 33, "source": "Hugging Face", - "score": -0.10606377940887392, - "first_commit": "2022-07-28 11:31:28", - "latest_commit": "2022-08-27 09:07:53", + "score": -0.10826597637928287, + "first_commit": "2023-05-28 05:55:53", + "latest_commit": "2023-05-28 06:08:04", "languages": [], - "model_or_dataset": "model", + "model_or_dataset": "dataset", "model_size": null }, { - "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": 28, + "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, "source": "Hugging Face", - "score": -0.10606377940887392, - "first_commit": "2024-07-31 15:15:16", - "latest_commit": "2024-08-04 09:35:48", + "score": -0.10826597637928287, + "first_commit": "2024-08-16 14:35:16", + "latest_commit": "2024-08-16 16:45:26", "languages": [], - "model_or_dataset": "model", - "model_size": 0.09509999999999999 + "model_or_dataset": "dataset", + "model_size": null }, { - "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": 28, + "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, "source": "Hugging Face", - "score": -0.10606377940887392, - "first_commit": "2023-12-19 08:10:42", - "latest_commit": "2024-07-20 08:36:15", + "score": -0.10828096261293657, + "first_commit": "2023-01-18 15:43:39", + "latest_commit": "2023-01-19 10:14:36", "languages": [], "model_or_dataset": "model", - "model_size": 7.72 + "model_size": null }, { - "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": 27, + "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, "source": "Hugging Face", - "score": -0.10607838736629689, - "first_commit": "2024-05-13 10:19:52", - "latest_commit": "2024-08-09 12:03:25", + "score": -0.10828096261293657, + "first_commit": "2024-01-03 04:58:17", + "latest_commit": "2024-01-03 07:09:05", "languages": [], "model_or_dataset": "model", - "model_size": 0.111 + "model_size": 0.41400000000000003 }, { - "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": 27, + "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, "source": "Hugging Face", - "score": -0.10607838736629689, - "first_commit": "2024-03-03 02:29:43", - "latest_commit": "2024-03-03 03:17:09", + "score": -0.10828096261293657, + "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": 8.03 }, { - "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": 27, + "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, "source": "Hugging Face", - "score": -0.10607838736629689, - "first_commit": "2023-10-28 19:03:17", - "latest_commit": "2023-10-28 20:24:40", + "score": -0.10828096261293657, + "first_commit": "2024-04-16 03:06:14", + "latest_commit": "2024-04-20 09:14:10", "languages": [], "model_or_dataset": "model", - "model_size": 1.2 + "model_size": 46.9 }, { - "description": "SFCOCO Stable Diffusion Model Card SFCOCO Stable Diffusion is a Japanese-specific latent text-to-image diffusion model capable of generating photo-realistic images given any text input.", - "url": "https://huggingface.co./nu-dialogue/sfc2022-stable-diffusion", - "project_name": "sfc2022-stable-diffusion", - "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": 32, "source": "Hugging Face", - "score": -0.10607838736629689, - "first_commit": "2022-12-18 04:50:47", - "latest_commit": "2022-12-18 07:20:46", + "score": -0.10828096261293657, + "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 }, { - "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": 27, + "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": -0.10607838736629689, - "first_commit": "2021-09-22 04:10:36", - "latest_commit": "2023-10-19 01:31:17", + "score": -0.10828096261293657, + "first_commit": "2022-09-08 09:09:39", + "latest_commit": "2022-11-01 07:20:52", "languages": [], "model_or_dataset": "model", - "model_size": 0.316 + "model_size": null }, { - "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", - "downloads": 26, + "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, "source": "Hugging Face", - "score": -0.10609299532371988, - "first_commit": "2023-10-28 20:16:15", - "latest_commit": "2023-10-28 15:16:25", + "score": -0.10828096261293657, + "first_commit": "2024-07-07 11:08:34", + "latest_commit": "2024-07-07 11:13:47", "languages": [], - "model_or_dataset": "model", + "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": 26, + "downloads": 31, "source": "Hugging Face", - "score": -0.10609299532371988, + "score": -0.10829594884659027, "first_commit": "2024-04-17 02:56:15", "latest_commit": "2024-04-20 09:14:27", "languages": [], @@ -10399,220 +9840,220 @@ "model_size": 46.9 }, { - "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": 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": 31, "source": "Hugging Face", - "score": -0.10609299532371988, - "first_commit": "2024-07-26 21:06:54", - "latest_commit": "2024-07-26 21:37:02", + "score": -0.10829594884659027, + "first_commit": "2024-06-09 12:17:00", + "latest_commit": "2024-06-11 07:39:45", "languages": [], "model_or_dataset": "model", - "model_size": 11.0 + "model_size": 13.7 }, { - "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。 ", - "url": "https://huggingface.co./Kendamarron/fineweb-edu-classifier-ja-v2", - "project_name": "fineweb-edu-classifier-ja-v2", - "downloads": 26, + "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, "source": "Hugging Face", - "score": -0.10609299532371988, - "first_commit": "2024-06-14 13:20:22", - "latest_commit": "2024-06-14 13:28:08", + "score": -0.10829594884659027, + "first_commit": "2022-10-30 08:19:13", + "latest_commit": "2023-05-16 09:23:49", "languages": [], "model_or_dataset": "model", - "model_size": 0.111 + "model_size": null }, { - "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": "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, "source": "Hugging Face", - "score": -0.10609299532371988, - "first_commit": "2024-02-20 13:41:17", - "latest_commit": "2024-02-22 01:11:59", + "score": -0.10829594884659027, + "first_commit": "2024-04-07 06:23:02", + "latest_commit": "2024-04-07 15:16:42", "languages": [], - "model_or_dataset": "model", + "model_or_dataset": "dataset", "model_size": null }, { - "description": "description public RLHF dataset in Japanese the construction of the reward model was reformatted into a classification task.", - "url": "https://huggingface.co./datasets/ryota39/open_preference-v0.3", - "project_name": "open_preference-v0.3", - "downloads": 26, + "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, "source": "Hugging Face", - "score": -0.10609299532371988, - "first_commit": "2024-06-25 08:55:53", - "latest_commit": "2024-07-04 12:55:42", + "score": -0.10831093508024398, + "first_commit": "2022-08-27 08:51:11", + "latest_commit": "2022-11-05 09:34:10", "languages": [], - "model_or_dataset": "dataset", + "model_or_dataset": "model", "model_size": null }, { - "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": 26, + "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, "source": "Hugging Face", - "score": -0.10609299532371988, - "first_commit": "2024-03-21 02:24:27", - "latest_commit": "2024-03-21 12:40:15", + "score": -0.10831093508024398, + "first_commit": "2024-02-15 22:45:08", + "latest_commit": "2024-04-16 22:32:15", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": 6.95 }, { - "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": 25, + "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, "source": "Hugging Face", - "score": -0.10610760328114287, - "first_commit": "2023-05-03 04:53:49", - "latest_commit": "2023-05-03 09:25:19", + "score": -0.10831093508024398, + "first_commit": "2024-04-16 07:54:14", + "latest_commit": "2024-04-20 09:14:59", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 46.9 }, { - "description": "japanese-soseki-gpt2-1b", - "url": "https://huggingface.co./jweb/japanese-soseki-gpt2-1b", - "project_name": "japanese-soseki-gpt2-1b", - "downloads": 25, + "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, "source": "Hugging Face", - "score": -0.10610760328114287, - "first_commit": "2022-03-03 04:53:15", - "latest_commit": "2023-03-27 12:09:04", + "score": -0.10831093508024398, + "first_commit": "2021-12-27 11:57:10", + "latest_commit": "2022-07-31 07:54:13", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "description": "TakoMT", - "url": "https://huggingface.co./staka/takomt", - "project_name": "takomt", - "downloads": 25, + "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, "source": "Hugging Face", - "score": -0.10610760328114287, - "first_commit": "2022-05-08 03:52:40", - "latest_commit": "2023-08-15 17:32:13", + "score": -0.10831093508024398, + "first_commit": "2024-02-02 06:36:01", + "latest_commit": "2024-02-13 15:19:49", "languages": [], - "model_or_dataset": "model", + "model_or_dataset": "dataset", "model_size": null }, { - "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": 25, + "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, "source": "Hugging Face", - "score": -0.10610760328114287, - "first_commit": "2022-06-19 00:10:56", - "latest_commit": "2023-11-05 17:51:08", + "score": -0.10832592131389768, + "first_commit": "2024-05-26 06:36:42", + "latest_commit": "2024-06-01 11:54:18", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 7.24 }, { - "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": 25, + "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, "source": "Hugging Face", - "score": -0.10610760328114287, - "first_commit": "2023-02-08 13:22:24", - "latest_commit": "2023-02-09 00:55:31", + "score": -0.10832592131389768, + "first_commit": "2024-07-31 15:15:16", + "latest_commit": "2024-08-04 09:35:48", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.09509999999999999 }, { - "description": "Llama-3-Umievo-itr014-Shizuko-8b このモデルは日本語に対応しているLlama-3ベースの４つの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/Llama-3-Umievo-itr014-Shizuko-8b", - "project_name": "Llama-3-Umievo-itr014-Shizuko-8b", - "downloads": 25, + "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, "source": "Hugging Face", - "score": -0.10610760328114287, - "first_commit": "2024-06-08 05:25:05", - "latest_commit": "2024-06-08 07:47:59", + "score": -0.10832592131389768, + "first_commit": "2023-12-19 08:11:08", + "latest_commit": "2024-07-20 08:38:34", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": 7.72 }, { - "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": 25, + "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, "source": "Hugging Face", - "score": -0.10610760328114287, - "first_commit": "2023-12-07 17:52:29", - "latest_commit": "2023-12-07 18:54:23", + "score": -0.10832592131389768, + "first_commit": "2021-11-03 15:07:47", + "latest_commit": "2022-08-09 17:36:02", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "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": 25, + "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, "source": "Hugging Face", - "score": -0.10610760328114287, - "first_commit": "2023-05-24 14:30:09", - "latest_commit": "2023-06-26 01:08:31", + "score": -0.10834090754755138, + "first_commit": "2023-02-13 10:48:22", + "latest_commit": "2023-02-15 13:43:48", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "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": 25, + "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, "source": "Hugging Face", - "score": -0.10610760328114287, - "first_commit": "2022-11-12 15:07:40", - "latest_commit": "2023-02-08 09:26:55", + "score": -0.10834090754755138, + "first_commit": "2023-09-06 09:04:40", + "latest_commit": "2023-09-11 16:56:39", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "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": 25, + "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, "source": "Hugging Face", - "score": -0.10610760328114287, - "first_commit": "2024-07-16 08:12:30", - "latest_commit": "2024-07-28 12:33:15", + "score": -0.10834090754755138, + "first_commit": "2023-09-12 09:29:10", + "latest_commit": "2023-10-02 10:25:36", "languages": [], - "model_or_dataset": "dataset", + "model_or_dataset": "model", "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": 25, + "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, "source": "Hugging Face", - "score": -0.10610760328114287, - "first_commit": "2024-07-08 18:06:27", - "latest_commit": "2024-07-24 18:58:08", + "score": -0.10834090754755138, + "first_commit": "2022-11-30 04:33:31", + "latest_commit": "2023-06-21 04:29:10", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": 1.61 }, { "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": 25, + "downloads": 28, "source": "Hugging Face", - "score": -0.10610760328114287, + "score": -0.10834090754755138, "first_commit": "2024-04-10 05:04:58", "latest_commit": "2024-04-12 09:18:42", "languages": [], @@ -10620,1704 +10061,1717 @@ "model_size": null }, { - "description": "Dataset details: Each entry in this dataset is a sentence-aligned Japanese web novel chapter and English fan translation.", - "url": "https://huggingface.co./datasets/NilanE/ParallelFiction-Ja_En-100k", - "project_name": "ParallelFiction-Ja_En-100k", - "downloads": 25, + "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": -0.10610760328114287, - "first_commit": "2024-03-25 23:41:17", - "latest_commit": "2024-06-02 18:03:38", + "score": -0.10835589378120508, + "first_commit": "2021-12-09 08:09:40", + "latest_commit": "2021-12-09 17:59:05", "languages": [], - "model_or_dataset": "dataset", + "model_or_dataset": "model", "model_size": 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", - "downloads": 24, + "description": "Model card for model ID", + "url": "https://huggingface.co./retrieva-jp/t5-xl", + "project_name": "t5-xl", + "downloads": 27, "source": "Hugging Face", - "score": -0.10612221123856586, - "first_commit": "2024-01-19 00:32:15", - "latest_commit": "2024-07-10 13:41:08", + "score": -0.10835589378120508, + "first_commit": "2023-04-26 07:19:08", + "latest_commit": "2023-05-10 10:01:04", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "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": 24, + "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, "source": "Hugging Face", - "score": -0.10612221123856586, - "first_commit": "2021-07-30 10:11:35", - "latest_commit": "2021-09-23 15:46:05", + "score": -0.10835589378120508, + "first_commit": "2023-05-26 09:38:08", + "latest_commit": "2023-07-21 14:10:18", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.336 }, { - "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": 24, + "description": "t5-base-xlsum-ja", + "url": "https://huggingface.co./p1atdev/t5-base-xlsum-ja", + "project_name": "t5-base-xlsum-ja", + "downloads": 27, "source": "Hugging Face", - "score": -0.10612221123856586, - "first_commit": "2021-03-21 19:07:13", - "latest_commit": "2022-05-26 13:50:56", + "score": -0.10835589378120508, + "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 }, { - "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": 24, + "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, "source": "Hugging Face", - "score": -0.10612221123856586, - "first_commit": "2021-11-15 17:23:50", - "latest_commit": "2023-10-21 13:21:16", + "score": -0.10835589378120508, + "first_commit": "2023-11-06 11:33:47", + "latest_commit": "2023-11-09 18:16:05", "languages": [], "model_or_dataset": "model", - "model_size": 0.035500000000000004 + "model_size": 9.68 }, { - "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": 24, + "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, "source": "Hugging Face", - "score": -0.10612221123856586, - "first_commit": "2023-09-02 15:15:51", - "latest_commit": "2023-09-06 18:42:50", + "score": -0.10835589378120508, + "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 }, { - "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": 24, + "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���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, "source": "Hugging Face", - "score": -0.10612221123856586, - "first_commit": "2024-01-17 04:41:20", - "latest_commit": "2024-01-17 04:46:18", + "score": -0.10835589378120508, + "first_commit": "2023-01-19 13:04:02", + "latest_commit": "2023-01-21 02:05:54", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "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": 24, + "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, "source": "Hugging Face", - "score": -0.10612221123856586, - "first_commit": "2024-01-16 12:23:01", - "latest_commit": "2024-01-16 12:27:54", + "score": -0.10835589378120508, + "first_commit": "2022-09-09 02:16:34", + "latest_commit": "2022-11-01 07:18:05", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": 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", - "downloads": 24, + "description": "yacis-electra-small-cyberbullying", + "url": "https://huggingface.co./ptaszynski/yacis-electra-small-japanese-cyberbullying", + "project_name": "yacis-electra-small-japanese-cyberbullying", + "downloads": 26, "source": "Hugging Face", - "score": -0.10612221123856586, - "first_commit": "2023-05-19 10:42:27", - "latest_commit": "2023-05-19 10:50:13", + "score": -0.10837088001485878, + "first_commit": "2022-01-12 03:57:13", + "latest_commit": "2022-01-16 13:51:28", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "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", - "downloads": 24, + "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, "source": "Hugging Face", - "score": -0.10612221123856586, - "first_commit": "2022-07-27 20:39:08", - "latest_commit": "2024-04-14 18:45:22", + "score": -0.10837088001485878, + "first_commit": "2021-03-28 04:21:20", + "latest_commit": "2023-02-08 00:15:23", "languages": [], "model_or_dataset": "model", - "model_size": 1.37 + "model_size": 0.318 }, { - "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": 24, + "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, "source": "Hugging Face", - "score": -0.10612221123856586, - "first_commit": "2023-12-19 08:11:08", - "latest_commit": "2024-07-20 08:38:34", + "score": -0.10837088001485878, + "first_commit": "2022-06-04 02:30:34", + "latest_commit": "2022-06-25 15:36:22", "languages": [], "model_or_dataset": "model", - "model_size": 7.72 + "model_size": 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": 23, + "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, "source": "Hugging Face", - "score": -0.10613681919598884, - "first_commit": "2020-08-19 00:29:11", - "latest_commit": "2023-08-16 11:59:16", + "score": -0.10837088001485878, + "first_commit": "2022-07-28 11:31:28", + "latest_commit": "2022-08-27 09:07:53", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "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": 23, + "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, "source": "Hugging Face", - "score": -0.10613681919598884, - "first_commit": "2024-02-05 16:29:48", - "latest_commit": "2024-02-12 14:43:33", + "score": -0.10837088001485878, + "first_commit": "2023-05-17 04:36:41", + "latest_commit": "2023-06-08 00:17:50", "languages": [], "model_or_dataset": "model", - "model_size": 6.74 + "model_size": null }, { - "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-b", - "project_name": "Meta-Llama-3.1-8B-Instruct-plus-Swallow-b", - "downloads": 23, + "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, "source": "Hugging Face", - "score": -0.10613681919598884, - "first_commit": "2024-07-24 03:30:51", - "latest_commit": "2024-07-24 04:19:42", + "score": -0.10837088001485878, + "first_commit": "2024-02-20 13:41:17", + "latest_commit": "2024-02-22 01:11:59", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": 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", - "downloads": 23, + "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, "source": "Hugging Face", - "score": -0.10613681919598884, - "first_commit": "2024-06-02 04:49:31", - "latest_commit": "2024-06-02 04:52:45", + "score": -0.10837088001485878, + "first_commit": "2024-05-13 10:19:52", + "latest_commit": "2024-08-09 12:03:25", "languages": [], "model_or_dataset": "model", - "model_size": 70.6 + "model_size": 0.111 }, { - "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", - "downloads": 23, + "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, "source": "Hugging Face", - "score": -0.10613681919598884, - "first_commit": "2023-08-17 16:26:52", - "latest_commit": "2023-08-17 16:51:41", + "score": -0.10837088001485878, + "first_commit": "2024-03-03 02:29:43", + "latest_commit": "2024-03-03 03:17:09", "languages": [], "model_or_dataset": "model", "model_size": 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": 23, + "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": -0.10613681919598884, - "first_commit": "2022-10-01 00:43:59", - "latest_commit": "2023-06-04 13:38:43", + "score": -0.10837088001485878, + "first_commit": "2024-02-05 16:29:48", + "latest_commit": "2024-02-12 14:43:33", "languages": [], "model_or_dataset": "model", - "model_size": 1.37 + "model_size": 6.74 }, { - "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": 23, + "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, "source": "Hugging Face", - "score": -0.10613681919598884, - "first_commit": "2021-09-06 10:13:42", - "latest_commit": "2023-07-04 07:05:38", + "score": -0.10837088001485878, + "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 }, { - "description": "Aya_ja このデータセットはCohereForAI/aya_datasetの日本語インストラクションデータのみを抽出したデータセットです。 ", - "url": "https://huggingface.co./datasets/ryota39/Aya_ja", - "project_name": "Aya_ja", - "downloads": 23, + "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": 26, "source": "Hugging Face", - "score": -0.10613681919598884, - "first_commit": "2024-02-14 08:03:42", - "latest_commit": "2024-02-14 08:25:06", + "score": -0.10837088001485878, + "first_commit": "2023-10-11 09:11:41", + "latest_commit": "2023-10-14 13:50:54", "languages": [], - "model_or_dataset": "dataset", + "model_or_dataset": "model", "model_size": null }, { - "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": 22, + "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": 26, "source": "Hugging Face", - "score": -0.10615142715341183, - "first_commit": "2023-01-20 05:57:37", - "latest_commit": "2023-03-27 08:05:06", + "score": -0.10837088001485878, + "first_commit": "2023-01-23 06:25:08", + "latest_commit": "2023-02-07 15:49:33", "languages": [], "model_or_dataset": "model", - "model_size": 0.112 + "model_size": 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": 22, + "description": "deberta-large-japanese-wikipedia Model Description", + "url": "https://huggingface.co./KoichiYasuoka/deberta-large-japanese-wikipedia", + "project_name": "deberta-large-japanese-wikipedia", + "downloads": 26, "source": "Hugging Face", - "score": -0.10615142715341183, - "first_commit": "2023-11-03 10:31:29", - "latest_commit": "2023-11-03 12:54:41", + "score": -0.10837088001485878, + "first_commit": "2022-07-05 22:01:16", + "latest_commit": "2023-02-27 10:15:35", "languages": [], "model_or_dataset": "model", - "model_size": 1.13 + "model_size": null }, { - "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": 22, + "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": 26, "source": "Hugging Face", - "score": -0.10615142715341183, - "first_commit": "2023-11-06 11:33:47", - "latest_commit": "2023-11-06 16:00:08", + "score": -0.10837088001485878, + "first_commit": "2022-03-30 03:34:11", + "latest_commit": "2022-03-30 04:28:17", "languages": [], "model_or_dataset": "model", - "model_size": 9.1 + "model_size": null }, { - "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": 22, + "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", + "downloads": 26, "source": "Hugging Face", - "score": -0.10615142715341183, - "first_commit": "2024-01-04 12:33:19", - "latest_commit": "2024-01-05 15:48:24", + "score": -0.10837088001485878, + "first_commit": "2024-05-16 02:02:09", + "latest_commit": "2024-05-20 01:44:32", "languages": [], - "model_or_dataset": "model", - "model_size": 7.24 + "model_or_dataset": "dataset", + "model_size": null }, { - "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": 22, + "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": 25, "source": "Hugging Face", - "score": -0.10615142715341183, - "first_commit": "2024-04-24 10:28:30", - "latest_commit": "2024-05-04 04:07:09", + "score": -0.10838586624851249, + "first_commit": "2023-03-02 03:57:33", + "latest_commit": "2023-07-21 14:10:48", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": 0.279 }, { - "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", - "downloads": 22, + "description": "Model card for model ID", + "url": "https://huggingface.co./retrieva-jp/t5-base-short", + "project_name": "t5-base-short", + "downloads": 25, "source": "Hugging Face", - "score": -0.10615142715341183, - "first_commit": "2024-02-15 22:49:08", - "latest_commit": "2024-04-16 22:33:28", + "score": -0.10838586624851249, + "first_commit": "2023-04-26 08:20:52", + "latest_commit": "2023-05-10 10:00:23", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "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": 22, + "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。 ", + "url": "https://huggingface.co./Kendamarron/fineweb-edu-classifier-ja-v2", + "project_name": "fineweb-edu-classifier-ja-v2", + "downloads": 25, "source": "Hugging Face", - "score": -0.10615142715341183, - "first_commit": "2023-12-07 18:22:23", - "latest_commit": "2023-12-07 18:54:33", + "score": -0.10838586624851249, + "first_commit": "2024-06-14 13:20:22", + "latest_commit": "2024-06-14 13:28:08", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.111 }, { - "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": 22, + "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": 25, "source": "Hugging Face", - "score": -0.10615142715341183, - "first_commit": "2023-05-25 12:35:32", - "latest_commit": "2023-05-25 13:35:34", + "score": -0.10838586624851249, + "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 }, { - "description": "Japanese GPT2 Lyric Model Model description", - "url": "https://huggingface.co./skytnt/gpt2-japanese-lyric-medium", - "project_name": "gpt2-japanese-lyric-medium", - "downloads": 22, + "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", + "downloads": 25, "source": "Hugging Face", - "score": -0.10615142715341183, - "first_commit": "2022-07-08 13:28:12", - "latest_commit": "2023-10-21 14:53:57", + "score": -0.10838586624851249, + "first_commit": "2022-07-27 20:39:08", + "latest_commit": "2024-04-14 18:45:22", "languages": [], "model_or_dataset": "model", - "model_size": 0.361 + "model_size": 1.37 }, { - "description": "deberta-large-japanese-upos Model Description", - "url": "https://huggingface.co./KoichiYasuoka/deberta-large-japanese-upos", - "project_name": "deberta-large-japanese-upos", - "downloads": 22, + "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, "source": "Hugging Face", - "score": -0.10615142715341183, - "first_commit": "2022-05-27 06:50:55", - "latest_commit": "2024-07-26 16:00:59", + "score": -0.10838586624851249, + "first_commit": "2021-10-17 14:46:56", + "latest_commit": "2022-02-21 13:39:01", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "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": 22, + "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": -0.10615142715341183, - "first_commit": "2021-03-05 06:36:24", - "latest_commit": "2021-09-23 15:45:39", + "score": -0.10838586624851249, + "first_commit": "2024-07-09 22:18:35", + "latest_commit": "2024-07-20 12:57:05", "languages": [], - "model_or_dataset": "model", + "model_or_dataset": "dataset", "model_size": null }, { - "description": "Wikipedia日本語版からのQ&Aの自動生成 Mixtral 8x22bのGGUF(5bit)をベースに､Wikipedia日本語版の記事から､ 自動生成コード1 自動生成コード2 を使ってQ&Aを作成しました｡ 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｡ 注意 回答にハルシネーション等が含まれている可能性があるので､フィルタリングをかける必要があるかもしれません｡", - "url": "https://huggingface.co./datasets/kanhatakeyama/AutoWikiQA", - "project_name": "AutoWikiQA", - "downloads": 22, + "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": 24, "source": "Hugging Face", - "score": -0.10615142715341183, - "first_commit": "2024-05-08 08:25:16", - "latest_commit": "2024-05-09 01:05:15", + "score": -0.10840085248216619, + "first_commit": "2021-10-17 08:02:54", + "latest_commit": "2021-11-10 15:28:57", "languages": [], - "model_or_dataset": "dataset", + "model_or_dataset": "model", "model_size": 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": 22, + "description": "deberta-base-japanese-wikipedia Model Description", + "url": "https://huggingface.co./KoichiYasuoka/deberta-base-japanese-wikipedia", + "project_name": "deberta-base-japanese-wikipedia", + "downloads": 24, "source": "Hugging Face", - "score": -0.10615142715341183, - "first_commit": "2023-11-10 07:36:40", - "latest_commit": "2023-11-10 22:46:29", + "score": -0.10840085248216619, + "first_commit": "2022-06-25 03:46:58", + "latest_commit": "2023-01-27 17:51:51", "languages": [], - "model_or_dataset": "dataset", + "model_or_dataset": "model", "model_size": null }, { - "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": 21, + "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, "source": "Hugging Face", - "score": -0.1061660351108348, - "first_commit": "2021-11-13 16:28:23", - "latest_commit": "2021-11-14 02:34:01", + "score": -0.10840085248216619, + "first_commit": "2022-06-19 00:10:56", + "latest_commit": "2023-11-05 17:51:08", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "description": "electra-base-cyberbullying This is an ELECTRA Small model for the Japanese language finetuned for automatic cyberbullying detection.", - "url": "https://huggingface.co./kit-nlp/electra-small-japanese-discriminator-cyberbullying", - "project_name": "electra-small-japanese-discriminator-cyberbullying", - "downloads": 21, + "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, "source": "Hugging Face", - "score": -0.1061660351108348, - "first_commit": "2022-09-09 02:43:59", - "latest_commit": "2022-11-01 07:14:15", + "score": -0.10840085248216619, + "first_commit": "2023-05-03 04:53:49", + "latest_commit": "2023-05-03 09:25:19", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "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": 21, + "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": 23, "source": "Hugging Face", - "score": -0.1061660351108348, - "first_commit": "2023-05-10 13:22:23", - "latest_commit": "2023-07-21 14:10:02", + "score": -0.10841583871581989, + "first_commit": "2022-04-30 13:57:31", + "latest_commit": "2022-05-22 05:51:12", "languages": [], "model_or_dataset": "model", - "model_size": 0.339 + "model_size": null }, { - "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", - "downloads": 21, + "description": "Orion-14B 🌐English | 🇨", + "url": "https://huggingface.co./OrionStarAI/Orion-14B-Base-Int4", + "project_name": "Orion-14B-Base-Int4", + "downloads": 23, "source": "Hugging Face", - "score": -0.1061660351108348, - "first_commit": "2023-09-06 09:19:59", - "latest_commit": "2023-09-11 16:55:23", + "score": -0.10841583871581989, + "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 }, { - "description": "t5-base-xlsum-ja", - "url": "https://huggingface.co./p1atdev/t5-base-xlsum-ja", - "project_name": "t5-base-xlsum-ja", - "downloads": 21, + "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": 23, "source": "Hugging Face", - "score": -0.1061660351108348, - "first_commit": "2023-10-06 03:18:28", - "latest_commit": "2023-11-20 09:25:16", + "score": -0.10841583871581989, + "first_commit": "2024-05-06 04:07:19", + "latest_commit": "2024-05-06 11:33:32", "languages": [], "model_or_dataset": "model", - "model_size": 0.248 + "model_size": 7.06 }, { - "description": "JPNsensei-V2 Model Application", - "url": "https://huggingface.co./kanxxyc/JPNsensei-V2", - "project_name": "JPNsensei-V2", - "downloads": 21, + "description": "[Under Construction]", + "url": "https://huggingface.co./datasets/bclavie/mmarco-japanese-hard-negatives", + "project_name": "mmarco-japanese-hard-negatives", + "downloads": 23, "source": "Hugging Face", - "score": -0.1061660351108348, - "first_commit": "2023-10-30 00:18:24", - "latest_commit": "2024-03-11 10:19:14", + "score": -0.10841583871581989, + "first_commit": "2023-12-24 13:04:27", + "latest_commit": "2023-12-24 18:52:04", "languages": [], - "model_or_dataset": "model", + "model_or_dataset": "dataset", "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": 21, + "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": 22, "source": "Hugging Face", - "score": -0.1061660351108348, - "first_commit": "2024-02-23 05:39:39", - "latest_commit": "2024-02-29 23:48:58", + "score": -0.10843082494947359, + "first_commit": "2021-09-22 04:10:36", + "latest_commit": "2023-10-19 01:31:17", "languages": [], "model_or_dataset": "model", - "model_size": 1.32 + "model_size": 0.316 }, { - "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": 21, + "description": "Japanese GPT2 Lyric Model Model description", + "url": "https://huggingface.co./skytnt/gpt2-japanese-lyric-medium", + "project_name": "gpt2-japanese-lyric-medium", + "downloads": 22, "source": "Hugging Face", - "score": -0.1061660351108348, - "first_commit": "2023-05-23 14:45:27", - "latest_commit": "2024-02-17 16:17:18", + "score": -0.10843082494947359, + "first_commit": "2022-07-08 13:28:12", + "latest_commit": "2023-10-21 14:53:57", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": 0.361 }, { - "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", - "downloads": 21, + "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": 22, "source": "Hugging Face", - "score": -0.1061660351108348, - "first_commit": "2023-05-15 13:27:23", - "latest_commit": "2023-05-15 14:55:06", + "score": -0.10843082494947359, + "first_commit": "2022-11-12 15:07:40", + "latest_commit": "2023-02-08 09:26:55", "languages": [], - "model_or_dataset": "dataset", + "model_or_dataset": "model", "model_size": null }, { - "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": 20, + "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", + "downloads": 22, "source": "Hugging Face", - "score": -0.1061806430682578, - "first_commit": "2021-06-04 13:14:22", - "latest_commit": "2021-09-23 18:29:53", + "score": -0.10843082494947359, + "first_commit": "2023-10-28 20:16:15", + "latest_commit": "2023-10-28 15:16:25", "languages": [], "model_or_dataset": "model", "model_size": 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", - "downloads": 20, + "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": 22, "source": "Hugging Face", - "score": -0.1061806430682578, - "first_commit": "2023-10-11 09:11:41", - "latest_commit": "2023-10-14 13:50:54", + "score": -0.10843082494947359, + "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 }, { - "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": 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": 22, "source": "Hugging Face", - "score": -0.1061806430682578, - "first_commit": "2023-10-21 05:21:13", - "latest_commit": "2023-10-23 19:39:51", + "score": -0.10843082494947359, + "first_commit": "2023-02-08 13:22:24", + "latest_commit": "2023-02-09 00:55:31", "languages": [], "model_or_dataset": "model", "model_size": 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", - "downloads": 20, + "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": 22, "source": "Hugging Face", - "score": -0.1061806430682578, - "first_commit": "2023-12-10 08:52:23", - "latest_commit": "2024-02-25 06:40:30", + "score": -0.10843082494947359, + "first_commit": "2024-01-19 00:32:15", + "latest_commit": "2024-07-10 13:41:08", "languages": [], "model_or_dataset": "model", - "model_size": 1.13 + "model_size": null }, { - "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": 20, + "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, "source": "Hugging Face", - "score": -0.1061806430682578, - "first_commit": "2024-04-24 07:48:45", - "latest_commit": "2024-06-24 08:57:49", + "score": -0.1084458111831273, + "first_commit": "2021-03-05 06:36:24", + "latest_commit": "2021-09-23 15:45:39", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": null }, { - "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": 20, + "description": "yuyuyui-chatbot", + "url": "https://huggingface.co./ushikado/yuyuyui-chatbot", + "project_name": "yuyuyui-chatbot", + "downloads": 21, "source": "Hugging Face", - "score": -0.1061806430682578, - "first_commit": "2024-04-15 01:43:08", - "latest_commit": "2024-08-12 12:39:52", + "score": -0.1084458111831273, + "first_commit": "2021-05-04 14:52:12", + "latest_commit": "2021-05-23 13:27:10", "languages": [], "model_or_dataset": "model", - "model_size": 0.756 + "model_size": null }, { - "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": 20, + "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, "source": "Hugging Face", - "score": -0.1061806430682578, - "first_commit": "2023-07-07 06:16:06", - "latest_commit": "2023-07-07 18:09:09", + "score": -0.1084458111831273, + "first_commit": "2023-05-11 08:47:29", + "latest_commit": "2023-05-12 02:15:39", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "description": "Model card for model ID", - "url": "https://huggingface.co./retrieva-jp/t5-large-medium", - "project_name": "t5-large-medium", - "downloads": 20, + "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": 21, "source": "Hugging Face", - "score": -0.1061806430682578, - "first_commit": "2023-04-26 08:31:45", - "latest_commit": "2023-05-10 10:00:45", + "score": -0.1084458111831273, + "first_commit": "2023-05-25 12:35:32", + "latest_commit": "2023-05-25 13:35:34", "languages": [], "model_or_dataset": "model", "model_size": 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": 20, + "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", + "downloads": 21, "source": "Hugging Face", - "score": -0.1061806430682578, - "first_commit": "2022-02-13 01:00:01", - "latest_commit": "2023-11-05 18:44:10", + "score": -0.1084458111831273, + "first_commit": "2023-09-06 09:19:59", + "latest_commit": "2023-09-11 16:55:23", "languages": [], "model_or_dataset": "model", "model_size": 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": 19, + "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": 21, "source": "Hugging Face", - "score": -0.10619525102568078, - "first_commit": "2021-10-04 13:38:47", - "latest_commit": "2023-10-21 13:21:24", + "score": -0.1084458111831273, + "first_commit": "2023-10-18 18:53:58", + "latest_commit": "2023-10-20 08:41:20", "languages": [], "model_or_dataset": "model", - "model_size": 0.00491 + "model_size": null }, { - "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": 19, + "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": 21, "source": "Hugging Face", - "score": -0.10619525102568078, - "first_commit": "2021-12-28 01:22:40", - "latest_commit": "2021-12-28 15:31:38", + "score": -0.1084458111831273, + "first_commit": "2023-12-07 17:52:29", + "latest_commit": "2023-12-07 18:54:23", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "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": 19, + "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": 21, "source": "Hugging Face", - "score": -0.10619525102568078, - "first_commit": "2022-09-16 07:34:58", - "latest_commit": "2022-09-16 11:01:54", + "score": -0.1084458111831273, + "first_commit": "2024-06-02 04:49:31", + "latest_commit": "2024-06-02 04:52:45", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 70.6 }, { - "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": 19, + "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": 21, "source": "Hugging Face", - "score": -0.10619525102568078, - "first_commit": null, - "latest_commit": null, + "score": -0.1084458111831273, + "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 }, { - "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", - "downloads": 19, + "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": 21, "source": "Hugging Face", - "score": -0.10619525102568078, - "first_commit": "2023-06-26 13:37:53", - "latest_commit": "2023-07-02 14:30:47", + "score": -0.1084458111831273, + "first_commit": "2023-09-02 15:15:51", + "latest_commit": "2023-09-06 18:42:50", "languages": [], "model_or_dataset": "model", "model_size": 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": 19, + "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": 21, "source": "Hugging Face", - "score": -0.10619525102568078, - "first_commit": "2024-06-28 14:26:33", - "latest_commit": "2024-06-28 14:53:43", + "score": -0.1084458111831273, + "first_commit": "2024-03-26 13:08:14", + "latest_commit": "2024-04-01 04:30:44", "languages": [], - "model_or_dataset": "model", + "model_or_dataset": "dataset", "model_size": null }, { - "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": 19, + "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, "source": "Hugging Face", - "score": -0.10619525102568078, - "first_commit": "2024-05-29 15:11:10", - "latest_commit": "2024-05-31 11:28:45", + "score": -0.108460797416781, + "first_commit": "2024-04-24 10:28:30", + "latest_commit": "2024-05-04 04:07:09", "languages": [], "model_or_dataset": "model", - "model_size": 3.82 + "model_size": 7.24 }, { - "description": "nagisa_bert A BERT model for nagisa.", - "url": "https://huggingface.co./taishi-i/nagisa_bert", - "project_name": "nagisa_bert", - "downloads": 19, + "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, "source": "Hugging Face", - "score": -0.10619525102568078, - "first_commit": "2022-09-25 13:12:57", - "latest_commit": "2023-09-15 01:28:14", + "score": -0.108460797416781, + "first_commit": "2024-03-07 06:50:19", + "latest_commit": "2024-03-07 06:51:42", "languages": [], "model_or_dataset": "model", - "model_size": 0.111 + "model_size": null }, { - "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": 19, + "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, "source": "Hugging Face", - "score": -0.10619525102568078, - "first_commit": "2021-10-26 13:26:38", - "latest_commit": "2022-09-18 19:43:18", + "score": -0.108460797416781, + "first_commit": "2021-06-30 12:53:09", + "latest_commit": "2021-09-23 18:29:58", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "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", - "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": -0.10619525102568078, - "first_commit": "2023-04-05 12:25:01", - "latest_commit": "2023-04-11 13:40:37", + "score": -0.108460797416781, + "first_commit": "2023-07-08 07:35:34", + "latest_commit": "2023-07-08 13:39:45", "languages": [], "model_or_dataset": "dataset", "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", + "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, "source": "Hugging Face", - "score": -0.10619525102568078, - "first_commit": "2023-06-03 03:04:05", - "latest_commit": "2023-06-03 03:04:43", + "score": -0.1084757836504347, + "first_commit": "2022-10-01 00:43:59", + "latest_commit": "2023-06-04 13:38:43", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": 1.37 }, { - "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": 18, + "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, "source": "Hugging Face", - "score": -0.10620985898310377, - "first_commit": "2022-09-18 08:10:44", - "latest_commit": "2023-03-19 01:58:12", + "score": -0.1084757836504347, + "first_commit": "2023-05-10 13:22:23", + "latest_commit": "2023-07-21 14:10:02", "languages": [], "model_or_dataset": "model", - "model_size": 0.323 + "model_size": 0.339 }, { - "description": "This model is traned with guanaco dataset.", - "url": "https://huggingface.co./ganchengguang/Yoko-7B-Japanese-v1", - "project_name": "Yoko-7B-Japanese-v1", - "downloads": 18, + "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, "source": "Hugging Face", - "score": -0.10620985898310377, - "first_commit": "2023-08-10 13:01:38", - "latest_commit": "2023-08-10 13:11:05", + "score": -0.1084757836504347, + "first_commit": "2023-05-24 14:30:09", + "latest_commit": "2023-06-26 01:08:31", "languages": [], "model_or_dataset": "model", "model_size": 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": 18, + "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, "source": "Hugging Face", - "score": -0.10620985898310377, - "first_commit": "2024-02-25 10:30:06", - "latest_commit": "2024-03-16 15:00:14", + "score": -0.1084757836504347, + "first_commit": "2023-12-07 18:22:23", + "latest_commit": "2023-12-07 18:54:33", "languages": [], "model_or_dataset": "model", - "model_size": 6.05 + "model_size": null }, { - "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", - "downloads": 18, + "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, "source": "Hugging Face", - "score": -0.10620985898310377, - "first_commit": "2024-03-06 16:45:44", - "latest_commit": "2024-03-28 16:36:13", + "score": -0.1084757836504347, + "first_commit": "2024-04-15 01:43:08", + "latest_commit": "2024-08-12 12:39:52", "languages": [], "model_or_dataset": "model", - "model_size": 1.1 + "model_size": 0.756 }, { - "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", - "downloads": 18, + "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, "source": "Hugging Face", - "score": -0.10620985898310377, - "first_commit": "2024-04-28 06:45:18", - "latest_commit": "2024-05-12 07:20:39", + "score": -0.1084757836504347, + "first_commit": "2024-06-24 13:27:54", + "latest_commit": "2024-06-24 13:28:33", "languages": [], "model_or_dataset": "model", - "model_size": 0.111 + "model_size": 8.03 }, { - "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": 18, + "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": -0.10620985898310377, - "first_commit": "2024-07-01 13:42:17", - "latest_commit": "2024-07-13 06:12:43", + "score": -0.1084757836504347, + "first_commit": "2024-08-09 11:38:05", + "latest_commit": "2024-08-09 12:10:35", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": 0.111 }, { - "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./masato12/bert-base-japanese-v3-jsts-with-tokenizer", - "project_name": "bert-base-japanese-v3-jsts-with-tokenizer", - "downloads": 18, + "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, "source": "Hugging Face", - "score": -0.10620985898310377, - "first_commit": "2024-07-21 04:58:46", - "latest_commit": "2024-07-21 18:21:41", + "score": -0.1084757836504347, + "first_commit": "2023-11-03 10:31:29", + "latest_commit": "2023-11-03 12:54:41", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 1.13 }, { - "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": 18, + "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", + "downloads": 19, "source": "Hugging Face", - "score": -0.10620985898310377, - "first_commit": "2023-11-06 05:02:27", - "latest_commit": "2023-11-06 05:37:01", + "score": -0.1084757836504347, + "first_commit": "2023-08-17 16:26:52", + "latest_commit": "2023-08-17 16:51:41", "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", - "downloads": 18, + "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", + "downloads": 19, "source": "Hugging Face", - "score": -0.10620985898310377, - "first_commit": "2023-10-28 19:03:17", - "latest_commit": "2023-11-09 18:16:33", + "score": -0.1084757836504347, + "first_commit": "2023-05-19 10:42:27", + "latest_commit": "2023-05-19 10:50:13", "languages": [], "model_or_dataset": "model", - "model_size": 1.2 + "model_size": null }, { - "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": 18, + "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": 19, "source": "Hugging Face", - "score": -0.10620985898310377, - "first_commit": "2023-05-11 08:47:29", - "latest_commit": "2023-05-12 02:15:39", + "score": -0.1084757836504347, + "first_commit": "2023-01-20 05:57:37", + "latest_commit": "2023-03-27 08:05:06", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.112 }, { - "description": "Manga OCR Optical character recognition for Japanese text, with the main focus being Japanese manga.", - "url": "https://huggingface.co./TeamFnord/manga-ocr", - "project_name": "manga-ocr", - "downloads": 18, + "description": "japanese-soseki-gpt2-1b", + "url": "https://huggingface.co./jweb/japanese-soseki-gpt2-1b", + "project_name": "japanese-soseki-gpt2-1b", + "downloads": 19, "source": "Hugging Face", - "score": -0.10620985898310377, - "first_commit": "2022-01-15 17:39:06", - "latest_commit": "2022-02-10 07:50:15", + "score": -0.1084757836504347, + "first_commit": "2022-03-03 04:53:15", + "latest_commit": "2023-03-27 12:09:04", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "description": "yuyuyui-chatbot", - "url": "https://huggingface.co./ushikado/yuyuyui-chatbot", - "project_name": "yuyuyui-chatbot", - "downloads": 18, + "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": -0.10620985898310377, - "first_commit": "2021-05-04 14:52:12", - "latest_commit": "2021-05-23 13:27:10", + "score": -0.1084757836504347, + "first_commit": "2024-08-20 14:33:15", + "latest_commit": "2024-08-21 15:31:43", "languages": [], "model_or_dataset": "model", "model_size": 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": 18, + "description": "���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", + "downloads": 19, "source": "Hugging Face", - "score": -0.10620985898310377, - "first_commit": "2024-02-29 15:23:48", - "latest_commit": "2024-04-25 12:49:28", + "score": -0.1084757836504347, + "first_commit": "2023-05-15 13:27:23", + "latest_commit": "2023-05-15 14:55:06", "languages": [], "model_or_dataset": "dataset", "model_size": null }, { - "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", - "downloads": 17, + "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, "source": "Hugging Face", - "score": -0.10622446694052676, - "first_commit": "2024-03-29 23:31:35", - "latest_commit": "2024-03-30 00:51:03", + "score": -0.1084907698840884, + "first_commit": "2022-01-10 06:31:18", + "latest_commit": "2022-05-22 14:57:21", "languages": [], "model_or_dataset": "model", - "model_size": 12.9 + "model_size": 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", - "downloads": 17, + "description": "yacis-electra-small", + "url": "https://huggingface.co./ptaszynski/yacis-electra-small-japanese", + "project_name": "yacis-electra-small-japanese", + "downloads": 18, "source": "Hugging Face", - "score": -0.10622446694052676, - "first_commit": "2024-07-26 13:05:01", - "latest_commit": "2024-07-26 14:05:31", + "score": -0.1084907698840884, + "first_commit": "2022-01-12 01:48:13", + "latest_commit": "2022-01-13 01:43:17", "languages": [], "model_or_dataset": "model", - "model_size": 19.8 + "model_size": null }, { - "description": "deberta-small-japanese-upos Model Description", - "url": "https://huggingface.co./KoichiYasuoka/deberta-small-japanese-upos", - "project_name": "deberta-small-japanese-upos", - "downloads": 17, + "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, "source": "Hugging Face", - "score": -0.10622446694052676, - "first_commit": "2022-05-23 23:55:56", - "latest_commit": "2024-07-26 15:38:41", + "score": -0.1084907698840884, + "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 }, { - "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": 17, + "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, "source": "Hugging Face", - "score": -0.10622446694052676, - "first_commit": "2023-02-11 18:39:14", - "latest_commit": "2023-07-21 14:09:44", + "score": -0.1084907698840884, + "first_commit": "2024-04-25 06:05:51", + "latest_commit": "2024-06-17 01:44:16", "languages": [], "model_or_dataset": "model", - "model_size": 0.279 + "model_size": 0.111 }, { - "description": "This model is traned with guanaco dataset.", - "url": "https://huggingface.co./ganchengguang/Yoko-7B-Japanese-v0", - "project_name": "Yoko-7B-Japanese-v0", - "downloads": 17, + "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, "source": "Hugging Face", - "score": -0.10622446694052676, - "first_commit": "2023-08-09 16:28:38", - "latest_commit": "2023-08-10 13:00:34", + "score": -0.1084907698840884, + "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 }, { - "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", - "downloads": 17, + "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, "source": "Hugging Face", - "score": -0.10622446694052676, - "first_commit": "2023-09-08 08:35:31", - "latest_commit": "2023-09-17 04:24:55", + "score": -0.1084907698840884, + "first_commit": "2022-09-16 07:34:58", + "latest_commit": "2022-09-16 11:01:54", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "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": 17, + "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": -0.10622446694052676, - "first_commit": "2023-10-28 20:43:59", - "latest_commit": "2023-10-28 15:44:20", + "score": -0.1084907698840884, + "first_commit": "2023-06-03 03:04:05", + "latest_commit": "2023-06-03 03:04:43", "languages": [], - "model_or_dataset": "model", + "model_or_dataset": "dataset", "model_size": null }, { - "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": "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, "source": "Hugging Face", - "score": -0.10622446694052676, - "first_commit": "2023-10-28 20:36:54", - "latest_commit": "2023-10-28 15:37:11", + "score": -0.1085057561177421, + "first_commit": "2021-07-30 10:11:35", + "latest_commit": "2021-09-23 15:46:05", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "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": "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, "source": "Hugging Face", - "score": -0.10622446694052676, - "first_commit": "2023-12-09 13:36:32", - "latest_commit": "2023-12-09 15:19:57", + "score": -0.1085057561177421, + "first_commit": "2021-10-04 13:38:47", + "latest_commit": "2023-10-21 13:21:24", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.00491 }, { - "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": "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, "source": "Hugging Face", - "score": -0.10622446694052676, - "first_commit": "2024-03-03 12:51:40", - "latest_commit": "2024-03-03 13:39:01", + "score": -0.1085057561177421, + "first_commit": null, + "latest_commit": null, "languages": [], "model_or_dataset": "model", - "model_size": 21.5 + "model_size": null }, { - "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", + "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, "source": "Hugging Face", - "score": -0.10622446694052676, - "first_commit": "2024-03-07 13:21:38", - "latest_commit": "2024-03-07 13:47:58", + "score": -0.1085057561177421, + "first_commit": "2023-07-12 02:11:11", + "latest_commit": "2024-06-03 06:17:19", "languages": [], "model_or_dataset": "model", - "model_size": 11.2 + "model_size": null }, { - "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": "(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, "source": "Hugging Face", - "score": -0.10622446694052676, - "first_commit": "2024-03-14 09:51:38", - "latest_commit": "2024-03-17 15:05:20", + "score": -0.1085057561177421, + "first_commit": "2023-11-06 05:02:27", + "latest_commit": "2023-11-06 05:37:01", "languages": [], "model_or_dataset": "model", - "model_size": 2.51 + "model_size": null }, { - "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": "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, "source": "Hugging Face", - "score": -0.10622446694052676, - "first_commit": "2024-05-10 14:33:57", - "latest_commit": "2024-05-21 14:54:46", + "score": -0.1085057561177421, + "first_commit": "2024-06-28 14:26:33", + "latest_commit": "2024-06-28 14:53:43", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": 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": "Llama-3.1-70B-EZO-1.1-it-gguf HODACHIさんが公開しているHODACHI/Llama-3.1-70B-EZO-1.1-itのgguf版です。", + "url": "https://huggingface.co./keitokei1994/Llama-3.1-70B-EZO-1.1-it-GGUF", + "project_name": "Llama-3.1-70B-EZO-1.1-it-GGUF", "downloads": 17, "source": "Hugging Face", - "score": -0.10622446694052676, - "first_commit": "2023-12-07 18:07:21", - "latest_commit": "2023-12-07 18:54:27", + "score": -0.1085057561177421, + "first_commit": "2024-08-01 01:18:06", + "latest_commit": "2024-08-01 02:25:32", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 70.6 }, { - "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", + "description": "gpt2-small-japanese-upos Model Description", + "url": "https://huggingface.co./KoichiYasuoka/gpt2-small-japanese-upos", + "project_name": "gpt2-small-japanese-upos", "downloads": 17, "source": "Hugging Face", - "score": -0.10622446694052676, - "first_commit": "2023-12-07 17:59:51", - "latest_commit": "2023-12-07 18:54:26", + "score": -0.1085057561177421, + "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": "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", + "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": -0.10622446694052676, - "first_commit": "2023-01-19 13:04:02", - "latest_commit": "2023-01-21 02:05:54", + "score": -0.1085057561177421, + "first_commit": "2024-02-23 05:39:39", + "latest_commit": "2024-02-29 23:48:58", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 1.32 }, { - "description": "deberta-large-japanese-aozora Model Description", - "url": "https://huggingface.co./KoichiYasuoka/deberta-large-japanese-aozora", - "project_name": "deberta-large-japanese-aozora", + "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": -0.10622446694052676, - "first_commit": "2022-05-26 14:46:58", - "latest_commit": "2023-01-14 00:27:22", + "score": -0.1085057561177421, + "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": "deberta-base-japanese-upos Model Description", - "url": "https://huggingface.co./KoichiYasuoka/deberta-base-japanese-upos", - "project_name": "deberta-base-japanese-upos", + "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": -0.10622446694052676, - "first_commit": "2022-05-24 08:12:05", - "latest_commit": "2024-07-26 15:59:24", + "score": -0.1085057561177421, + "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 }, { - "description": "日本語VL-T5事前学習済みモデル", - "url": "https://huggingface.co./sonoisa/vl-t5-base-japanese", - "project_name": "vl-t5-base-japanese", + "description": "JPNsensei-V2 Model Application", + "url": "https://huggingface.co./kanxxyc/JPNsensei-V2", + "project_name": "JPNsensei-V2", "downloads": 17, "source": "Hugging Face", - "score": -0.10622446694052676, - "first_commit": "2021-10-03 11:54:43", - "latest_commit": "2021-10-04 11:13:35", + "score": -0.1085057561177421, + "first_commit": "2023-10-30 00:18:24", + "latest_commit": "2024-03-11 10:19:14", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "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", + "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, "source": "Hugging Face", - "score": -0.10622446694052676, - "first_commit": "2020-09-27 11:23:02", - "latest_commit": "2021-09-22 11:00:56", + "score": -0.1085057561177421, + "first_commit": "2023-09-23 08:43:02", + "latest_commit": "2023-10-01 18:12:09", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "description": "Google's mt5-base fine-tuned in Japanese to summarize patent claims in a limited Pharmaceutical domain. ", - "url": "https://huggingface.co./kz/mt5base-finetuned-patentsum-japanese-small", - "project_name": "mt5base-finetuned-patentsum-japanese-small", + "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, "source": "Hugging Face", - "score": -0.10622446694052676, - "first_commit": "2021-04-10 00:31:15", - "latest_commit": "2022-05-19 06:50:32", + "score": -0.1085057561177421, + "first_commit": "2023-07-07 06:16:06", + "latest_commit": "2023-07-07 18:09:09", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "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", + "description": "nagisa_bert A BERT model for nagisa.", + "url": "https://huggingface.co./taishi-i/nagisa_bert", + "project_name": "nagisa_bert", "downloads": 17, "source": "Hugging Face", - "score": -0.10622446694052676, - "first_commit": "2022-01-10 06:31:18", - "latest_commit": "2022-05-22 14:57:21", + "score": -0.1085057561177421, + "first_commit": "2022-09-25 13:12:57", + "latest_commit": "2023-09-15 01:28:14", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 0.111 }, { - "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", + "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, "source": "Hugging Face", - "score": -0.10623907489794975, - "first_commit": "2021-10-04 13:42:57", - "latest_commit": "2022-12-09 00:41:39", + "score": -0.1085207423513958, + "first_commit": "2022-02-13 01:00:01", + "latest_commit": "2023-11-05 18:44:10", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "description": "bart-base-japanese-news(base-sized model)", - "url": "https://huggingface.co./stockmark/bart-base-japanese-news", - "project_name": "bart-base-japanese-news", + "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, "source": "Hugging Face", - "score": -0.10623907489794975, - "first_commit": "2023-01-20 04:23:07", - "latest_commit": "2023-12-08 03:39:50", + "score": -0.1085207423513958, + "first_commit": "2021-11-15 17:23:50", + "latest_commit": "2023-10-21 13:21:16", "languages": [], "model_or_dataset": "model", - "model_size": 0.125 + "model_size": 0.035500000000000004 }, { - "description": "Bloom model trained on Japanese corpus.", - "url": "https://huggingface.co./Aruno/Bloom-JP-160m", - "project_name": "Bloom-JP-160m", + "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, "source": "Hugging Face", - "score": -0.10623907489794975, - "first_commit": "2023-04-24 04:47:05", - "latest_commit": "2023-04-24 05:12:10", + "score": -0.1085207423513958, + "first_commit": "2021-12-28 01:22:40", + "latest_commit": "2021-12-28 15:31:38", "languages": [], "model_or_dataset": "model", "model_size": 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": "This model is traned with guanaco dataset.", + "url": "https://huggingface.co./ganchengguang/Yoko-7B-Japanese-v0", + "project_name": "Yoko-7B-Japanese-v0", "downloads": 16, "source": "Hugging Face", - "score": -0.10623907489794975, - "first_commit": "2023-05-23 16:59:22", - "latest_commit": "2023-05-30 16:01:20", + "score": -0.1085207423513958, + "first_commit": "2023-08-09 16:28:38", + "latest_commit": "2023-08-10 13:00:34", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "description": "transformer-lm-japanese-0.1b", - "url": "https://huggingface.co./fukugawa/transformer-lm-japanese-0.1b", - "project_name": "transformer-lm-japanese-0.1b", + "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, "source": "Hugging Face", - "score": -0.10623907489794975, - "first_commit": "2023-07-12 02:11:11", - "latest_commit": "2024-06-03 06:17:19", + "score": -0.1085207423513958, + "first_commit": "2023-10-21 05:21:13", + "latest_commit": "2023-10-23 19:39:51", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "description": "Finance Sentiment JA (base) Finance Sentiment JA (base) is a model based on bert-base-japanese for analyzing sentiment of Japanese financial news.", - "url": "https://huggingface.co./bardsai/finance-sentiment-ja-base", - "project_name": "finance-sentiment-ja-base", + "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, "source": "Hugging Face", - "score": -0.10623907489794975, - "first_commit": "2023-09-18 13:00:29", - "latest_commit": "2023-09-18 13:01:21", + "score": -0.1085207423513958, + "first_commit": "2023-12-07 17:59:51", + "latest_commit": "2023-12-07 18:54:26", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "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", + "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, "source": "Hugging Face", - "score": -0.10623907489794975, - "first_commit": "2023-09-26 13:37:52", - "latest_commit": "2024-03-11 04:16:02", + "score": -0.1085207423513958, + "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 }, { - "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": "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, "source": "Hugging Face", - "score": -0.10623907489794975, - "first_commit": "2023-10-28 20:29:59", - "latest_commit": "2023-10-28 15:30:13", + "score": -0.1085207423513958, + "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 }, { - "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", + "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, "source": "Hugging Face", - "score": -0.10623907489794975, - "first_commit": "2023-10-28 20:23:03", - "latest_commit": "2023-10-28 15:23:16", + "score": -0.1085207423513958, + "first_commit": "2024-04-23 04:41:19", + "latest_commit": "2024-05-02 03:36:10", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 8.03 }, { - "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": "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, "source": "Hugging Face", - "score": -0.10623907489794975, - "first_commit": "2024-05-07 10:03:15", - "latest_commit": "2024-05-10 05:39:04", + "score": -0.1085207423513958, + "first_commit": "2024-05-29 15:11:10", + "latest_commit": "2024-05-31 11:28:45", "languages": [], "model_or_dataset": "model", - "model_size": 7.57 + "model_size": 3.82 }, { - "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": "gpt2-large-japanese-upos Model Description", + "url": "https://huggingface.co./KoichiYasuoka/gpt2-large-japanese-upos", + "project_name": "gpt2-large-japanese-upos", + "downloads": 16, + "source": "Hugging Face", + "score": -0.1085207423513958, + "first_commit": "2024-06-22 22:44:06", + "latest_commit": "2024-07-27 07:49:47", + "languages": [], + "model_or_dataset": "model", + "model_size": null + }, + { + "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": 16, "source": "Hugging Face", - "score": -0.10623907489794975, - "first_commit": "2023-12-07 18:14:46", - "latest_commit": "2023-12-07 18:58:23", + "score": -0.1085207423513958, + "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 }, { - "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", + "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": 16, "source": "Hugging Face", - "score": -0.10623907489794975, - "first_commit": "2023-09-23 08:43:02", - "latest_commit": "2023-10-01 18:12:09", + "score": -0.1085207423513958, + "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 }, { - "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": "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": 16, "source": "Hugging Face", - "score": -0.10623907489794975, - "first_commit": "2023-02-01 01:02:44", - "latest_commit": "2023-05-26 15:05:18", + "score": -0.1085207423513958, + "first_commit": "2024-03-07 06:57:50", + "latest_commit": "2024-03-07 07:00:51", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "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": "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": 16, "source": "Hugging Face", - "score": -0.10623907489794975, - "first_commit": "2022-08-01 14:59:47", - "latest_commit": "2022-08-14 05:47:18", + "score": -0.1085207423513958, + "first_commit": "2024-03-07 06:55:28", + "latest_commit": "2024-03-07 06:57:49", "languages": [], "model_or_dataset": "model", "model_size": 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": "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": 16, "source": "Hugging Face", - "score": -0.10623907489794975, - "first_commit": "2021-04-21 11:28:24", - "latest_commit": "2021-05-18 22:56:15", + "score": -0.1085207423513958, + "first_commit": "2023-10-28 20:43:59", + "latest_commit": "2023-10-28 15:44:20", "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": 15, + "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", + "downloads": 16, "source": "Hugging Face", - "score": -0.10625368285537272, - "first_commit": "2022-02-13 01:00:41", - "latest_commit": "2023-11-05 18:44:20", + "score": -0.1085207423513958, + "first_commit": "2023-10-28 20:36:54", + "latest_commit": "2023-10-28 15:37:11", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "description": "deberta-large-japanese-unidic Model Description", - "url": "https://huggingface.co./KoichiYasuoka/deberta-large-japanese-unidic", - "project_name": "deberta-large-japanese-unidic", - "downloads": 15, + "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", + "downloads": 16, "source": "Hugging Face", - "score": -0.10625368285537272, - "first_commit": "2022-06-10 12:49:12", - "latest_commit": "2022-06-19 09:15:35", + "score": -0.1085207423513958, + "first_commit": "2023-09-08 08:35:31", + "latest_commit": "2023-09-17 04:24:55", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "description": "fasttext-jp-embedding This model is experimental.", - "url": "https://huggingface.co./paulhindemith/fasttext-jp-embedding", - "project_name": "fasttext-jp-embedding", - "downloads": 15, + "description": "TakoMT", + "url": "https://huggingface.co./staka/takomt", + "project_name": "takomt", + "downloads": 16, "source": "Hugging Face", - "score": -0.10625368285537272, - "first_commit": "2022-11-05 11:14:51", - "latest_commit": "2022-11-16 22:21:49", + "score": -0.1085207423513958, + "first_commit": "2022-05-08 03:52:40", + "latest_commit": "2023-08-15 17:32:13", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "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": 15, + "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": 16, "source": "Hugging Face", - "score": -0.10625368285537272, - "first_commit": "2022-10-31 06:53:19", - "latest_commit": "2022-11-07 12:06:32", + "score": -0.1085207423513958, + "first_commit": "2021-06-04 13:14:22", + "latest_commit": "2021-09-23 18:29:53", "languages": [], "model_or_dataset": "model", "model_size": 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", - "downloads": 15, + "description": "It covers multiple fields such as tourism, medical treatment, daily life, news, etc. ", + "url": "https://huggingface.co./datasets/Nexdata/English-Japanese_Parallel_Corpus_Data", + "project_name": "English-Japanese_Parallel_Corpus_Data", + "downloads": 16, "source": "Hugging Face", - "score": -0.10625368285537272, - "first_commit": "2024-03-07 06:57:50", - "latest_commit": "2024-03-07 07:00:51", + "score": -0.1085207423513958, + "first_commit": "2023-11-08 10:47:40", + "latest_commit": "2024-08-05 03:14:27", "languages": [], - "model_or_dataset": "model", + "model_or_dataset": "dataset", "model_size": null }, { - "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", - "downloads": 15, + "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": -0.10625368285537272, - "first_commit": "2024-04-20 08:49:14", - "latest_commit": "2024-04-20 08:49:19", + "score": -0.1085207423513958, + "first_commit": "2023-04-22 14:32:21", + "latest_commit": "2023-12-12 11:22:26", "languages": [], - "model_or_dataset": "model", - "model_size": 1.39 + "model_or_dataset": "dataset", + "model_size": null }, { - "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": "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": 15, "source": "Hugging Face", - "score": -0.10625368285537272, - "first_commit": "2024-07-02 03:34:30", - "latest_commit": "2024-07-02 08:53:11", + "score": -0.1085357285850495, + "first_commit": "2023-02-05 06:48:32", + "latest_commit": "2023-05-12 01:16:53", "languages": [], "model_or_dataset": "model", - "model_size": 1.1 + "model_size": null }, { - "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": "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", "downloads": 15, "source": "Hugging Face", - "score": -0.10625368285537272, - "first_commit": "2024-02-29 19:34:12", - "latest_commit": "2024-03-04 10:43:27", + "score": -0.1085357285850495, + "first_commit": "2023-02-01 01:02:44", + "latest_commit": "2023-05-26 15:05:18", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "description": "Orion-14B 🌐English | 🇨", - "url": "https://huggingface.co./OrionStarAI/Orion-14B-Chat-Plugin", - "project_name": "Orion-14B-Chat-Plugin", + "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": -0.10625368285537272, - "first_commit": "2024-01-16 12:19:45", - "latest_commit": "2024-03-26 10:12:37", + "score": -0.1085357285850495, + "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": "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", + "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", "downloads": 15, "source": "Hugging Face", - "score": -0.10625368285537272, - "first_commit": "2023-12-08 03:51:28", - "latest_commit": "2024-02-25 06:40:05", + "score": -0.1085357285850495, + "first_commit": "2023-10-28 19:03:17", + "latest_commit": "2023-11-09 18:16:33", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 1.2 }, { - "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", + "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": 15, "source": "Hugging Face", - "score": -0.10625368285537272, - "first_commit": "2023-09-13 16:15:06", - "latest_commit": "2023-11-17 16:44:57", + "score": -0.1085357285850495, + "first_commit": "2023-12-07 18:14:46", + "latest_commit": "2023-12-07 18:58:23", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "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", + "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": 15, "source": "Hugging Face", - "score": -0.10625368285537272, - "first_commit": "2023-05-17 04:36:41", - "latest_commit": "2023-06-08 00:17:50", + "score": -0.1085357285850495, + "first_commit": "2023-12-07 18:07:21", + "latest_commit": "2023-12-07 18:54:27", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "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", + "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": 15, "source": "Hugging Face", - "score": -0.10625368285537272, - "first_commit": "2023-05-11 10:28:33", - "latest_commit": "2023-05-26 15:01:57", + "score": -0.1085357285850495, + "first_commit": "2024-03-07 06:53:27", + "latest_commit": "2024-03-07 06:55:27", "languages": [], "model_or_dataset": "model", "model_size": 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": "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": 15, "source": "Hugging Face", - "score": -0.10625368285537272, - "first_commit": "2023-02-05 06:48:32", - "latest_commit": "2023-05-12 01:16:53", + "score": -0.1085357285850495, + "first_commit": "2023-10-28 20:29:59", + "latest_commit": "2023-10-28 15:30:13", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "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", + "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": -0.10625368285537272, - "first_commit": "2021-10-26 13:54:17", - "latest_commit": "2022-09-18 19:43:45", + "score": -0.1085357285850495, + "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 }, { - "description": "Dataset Details Dataset Type:Japanese LLaVA Pretrain is a localized version of the original LLaVA Pretrain dataset.", - "url": "https://huggingface.co./datasets/turing-motors/LLaVA-Pretrain-JA", - "project_name": "LLaVA-Pretrain-JA", + "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": 15, "source": "Hugging Face", - "score": -0.10625368285537272, - "first_commit": "2024-04-10 05:07:24", - "latest_commit": "2024-04-12 09:15:37", + "score": -0.1085357285850495, + "first_commit": "2024-04-12 01:54:01", + "latest_commit": "2024-04-12 08:59:36", "languages": [], "model_or_dataset": "dataset", "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", + "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, "source": "Hugging Face", - "score": -0.10626829081279571, - "first_commit": "2021-12-21 00:41:00", - "latest_commit": "2022-09-18 19:44:22", + "score": -0.10855071481870321, + "first_commit": "2022-07-06 03:15:12", + "latest_commit": "2024-08-20 17:54:58", "languages": [], "model_or_dataset": "model", "model_size": 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", + "description": "roberta-base-japanese-aozora Model Description", + "url": "https://huggingface.co./KoichiYasuoka/roberta-base-japanese-aozora", + "project_name": "roberta-base-japanese-aozora", "downloads": 14, "source": "Hugging Face", - "score": -0.10626829081279571, - "first_commit": "2021-10-04 13:43:37", - "latest_commit": "2023-10-21 13:21:28", + "score": -0.10855071481870321, + "first_commit": "2021-12-21 00:04:03", + "latest_commit": "2022-10-15 14:20:11", "languages": [], "model_or_dataset": "model", - "model_size": 0.013800000000000002 + "model_size": 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-japanese-fin-generator", - "project_name": "electra-small-japanese-fin-generator", + "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, "source": "Hugging Face", - "score": -0.10626829081279571, - "first_commit": "2021-10-04 14:07:16", - "latest_commit": "2023-10-21 13:21:23", + "score": -0.10855071481870321, + "first_commit": "2021-10-26 13:26:38", + "latest_commit": "2022-09-18 19:43:18", "languages": [], "model_or_dataset": "model", - "model_size": 0.013800000000000002 + "model_size": null }, { - "description": "deberta-small-japanese-aozora Model Description", - "url": "https://huggingface.co./KoichiYasuoka/deberta-small-japanese-aozora", - "project_name": "deberta-small-japanese-aozora", + "description": "deberta-large-japanese-upos Model Description", + "url": "https://huggingface.co./KoichiYasuoka/deberta-large-japanese-upos", + "project_name": "deberta-large-japanese-upos", "downloads": 14, "source": "Hugging Face", - "score": -0.10626829081279571, - "first_commit": "2022-05-23 04:58:53", - "latest_commit": "2023-01-15 15:25:14", + "score": -0.10855071481870321, + "first_commit": "2022-05-27 06:50:55", + "latest_commit": "2024-07-26 16:00:59", "languages": [], "model_or_dataset": "model", "model_size": null @@ -12328,7 +11782,7 @@ "project_name": "japanese-gpt2-medium-unidic", "downloads": 14, "source": "Hugging Face", - "score": -0.10626829081279571, + "score": -0.10855071481870321, "first_commit": "2023-02-27 05:42:22", "latest_commit": "2023-03-22 06:22:32", "languages": [], @@ -12336,95 +11790,95 @@ "model_size": 0.362 }, { - "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": 14, "source": "Hugging Face", - "score": -0.10626829081279571, - "first_commit": "2023-10-16 04:12:34", - "latest_commit": "2023-10-16 13:49:48", + "score": -0.10855071481870321, + "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 }, { - "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": "Model card for model ID", + "url": "https://huggingface.co./retrieva-jp/t5-large-medium", + "project_name": "t5-large-medium", "downloads": 14, "source": "Hugging Face", - "score": -0.10626829081279571, - "first_commit": "2023-11-03 01:04:31", - "latest_commit": "2023-11-09 18:16:12", + "score": -0.10855071481870321, + "first_commit": "2023-04-26 08:31:45", + "latest_commit": "2023-05-10 10:00:45", "languages": [], "model_or_dataset": "model", - "model_size": 1.13 + "model_size": null }, { - "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": "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, "source": "Hugging Face", - "score": -0.10626829081279571, - "first_commit": "2024-02-08 08:08:41", - "latest_commit": "2024-03-20 05:41:04", + "score": -0.10855071481870321, + "first_commit": "2023-05-11 10:28:33", + "latest_commit": "2023-05-26 15:01:57", "languages": [], "model_or_dataset": "model", - "model_size": 0.07529999999999999 + "model_size": null }, { - "description": "更新情報 日本語機能とinstructベクトルのバランス調整したver.2をアップロードしましたSwallow-MX-8x7b-NVE-chatvector-Mixtral-instruct-v2 モデル概要 Swallow-MX-8x7b-NVE-v0.1に対し、 Mixtral-8x7B-Instruct-v0.1とMixtral-8x7B-v0.1の差分をマージしたモデルです。 ", - "url": "https://huggingface.co./aixsatoshi/Swallow-MX-8x7b-NVE-chatvector-Mixtral-instruct", - "project_name": "Swallow-MX-8x7b-NVE-chatvector-Mixtral-instruct", + "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, "source": "Hugging Face", - "score": -0.10626829081279571, - "first_commit": "2024-03-20 16:15:26", - "latest_commit": "2024-03-23 04:14:49", + "score": -0.10855071481870321, + "first_commit": "2023-09-13 16:15:06", + "latest_commit": "2023-11-17 16:44:57", "languages": [], "model_or_dataset": "model", - "model_size": 46.7 + "model_size": null }, { - "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", + "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": -0.10626829081279571, - "first_commit": "2024-04-16 07:54:14", - "latest_commit": "2024-04-20 09:14:59", + "score": -0.10855071481870321, + "first_commit": "2023-09-26 13:37:52", + "latest_commit": "2024-03-11 04:16:02", "languages": [], "model_or_dataset": "model", - "model_size": 46.9 + "model_size": null }, { - "description": "WS TCG Card Text Translator A Japanese-English machine translation model specifically trained for translating card text from the Weiss Schwarz (WS) Trading Card Game, fine-tuned on Helsinki-NLP/opus-mt-ja-en.", - "url": "https://huggingface.co./eepj/wstcg-mt-ja-en", - "project_name": "wstcg-mt-ja-en", + "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, "source": "Hugging Face", - "score": -0.10626829081279571, - "first_commit": "2024-04-30 13:20:20", - "latest_commit": "2024-05-22 02:45:55", + "score": -0.10855071481870321, + "first_commit": "2023-12-08 03:51:28", + "latest_commit": "2024-02-25 06:40:05", "languages": [], "model_or_dataset": "model", - "model_size": 0.07529999999999999 + "model_size": 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": "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": 14, "source": "Hugging Face", - "score": -0.10626829081279571, - "first_commit": "2024-05-03 04:03:47", - "latest_commit": "2024-05-03 04:30:45", + "score": -0.10855071481870321, + "first_commit": "2024-02-25 10:30:06", + "latest_commit": "2024-03-16 15:00:14", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": 6.05 }, { "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。 ", @@ -12432,7 +11886,7 @@ "project_name": "Tokara-0.5B-Chat-v0.1", "downloads": 14, "source": "Hugging Face", - "score": -0.10626829081279571, + "score": -0.10855071481870321, "first_commit": "2024-05-06 15:47:55", "latest_commit": "2024-05-08 13:30:12", "languages": [], @@ -12440,108 +11894,108 @@ "model_size": 0.464 }, { - "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": "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": 14, "source": "Hugging Face", - "score": -0.10626829081279571, - "first_commit": "2024-05-24 18:58:48", - "latest_commit": "2024-06-11 07:41:22", + "score": -0.10855071481870321, + "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 }, { - "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": "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": 14, "source": "Hugging Face", - "score": -0.10626829081279571, - "first_commit": "2024-05-27 14:58:38", - "latest_commit": "2024-05-28 03:02:14", + "score": -0.10855071481870321, + "first_commit": "2024-06-12 02:24:28", + "latest_commit": "2024-06-12 03:00:35", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 7.32 }, { - "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", + "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": 14, "source": "Hugging Face", - "score": -0.10626829081279571, - "first_commit": "2024-06-24 13:27:54", - "latest_commit": "2024-06-24 13:28:33", + "score": -0.10855071481870321, + "first_commit": "2024-05-31 22:51:11", + "latest_commit": "2024-06-09 15:37:04", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 6.35 }, { - "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", + "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": 14, "source": "Hugging Face", - "score": -0.10626829081279571, - "first_commit": "2024-04-25 06:05:51", - "latest_commit": "2024-06-17 01:44:16", + "score": -0.10855071481870321, + "first_commit": "2024-03-07 06:51:43", + "latest_commit": "2024-03-07 06:53:26", "languages": [], "model_or_dataset": "model", - "model_size": 0.111 + "model_size": null }, { - "description": "output 筑波 2.0035860538482666 つくば 1.6586617231369019 研究 1.6227693557739258 大学 1.3798155784606934 実験 0.5522942543029785 学生 0.42351895570755005 分析 0.37844282388687134 国立 0.3685397505760193 キャンパス 0.36495038866996765 茨城 0.3056415021419525 科学 0.2876652181148529 関東 0.24301066994667053 地域 0.21340851485729218 実施 0.1976248174905777 先端 0.192025288939476 サイト 0.11629197001457214 調査 0.09159307181835175 プロジェクト 0.08552580326795578 議論 0.07484486699104309 検討 0.007034890353679657", - "url": "https://huggingface.co./aken12/splade-japanese-efficient", - "project_name": "splade-japanese-efficient", + "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", "downloads": 14, "source": "Hugging Face", - "score": -0.10626829081279571, - "first_commit": "2024-03-11 03:02:28", - "latest_commit": "2024-03-16 16:27:35", + "score": -0.10855071481870321, + "first_commit": "2024-03-06 16:45:44", + "latest_commit": "2024-03-28 16:36:13", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 1.1 }, { - "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": "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", "downloads": 14, "source": "Hugging Face", - "score": -0.10626829081279571, - "first_commit": "2024-01-25 16:58:27", - "latest_commit": "2024-01-25 21:01:29", + "score": -0.10855071481870321, + "first_commit": "2024-02-29 19:34:12", + "latest_commit": "2024-03-04 10:43:27", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "description": "Orion-14B 🌐English | 🇨", - "url": "https://huggingface.co./sosoai/Orion-14B-Chat-safetensors", - "project_name": "Orion-14B-Chat-safetensors", + "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", "downloads": 14, "source": "Hugging Face", - "score": -0.10626829081279571, - "first_commit": "2024-01-24 23:44:38", - "latest_commit": "2024-01-25 02:08:59", + "score": -0.10855071481870321, + "first_commit": "2023-12-10 08:52:23", + "latest_commit": "2024-02-25 06:40:30", "languages": [], "model_or_dataset": "model", - "model_size": 14.5 + "model_size": 1.13 }, { - "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": "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", "downloads": 14, "source": "Hugging Face", - "score": -0.10626829081279571, - "first_commit": "2024-01-24 19:05:34", - "latest_commit": "2024-02-02 06:39:21", + "score": -0.10855071481870321, + "first_commit": "2023-11-03 01:04:31", + "latest_commit": "2023-11-09 18:16:12", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 1.13 }, { "description": "◆REV-Mix \"レボリューション\"なモデルです。 ", @@ -12549,7 +12003,7 @@ "project_name": "REV-Mix", "downloads": 14, "source": "Hugging Face", - "score": -0.10626829081279571, + "score": -0.10855071481870321, "first_commit": "2023-08-06 17:04:53", "latest_commit": "2023-08-26 16:19:02", "languages": [], @@ -12557,157 +12011,248 @@ "model_size": 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": "deberta-base-japanese-upos Model Description", + "url": "https://huggingface.co./KoichiYasuoka/deberta-base-japanese-upos", + "project_name": "deberta-base-japanese-upos", "downloads": 14, "source": "Hugging Face", - "score": -0.10626829081279571, - "first_commit": "2023-05-26 14:33:37", - "latest_commit": "2023-05-26 15:02:41", + "score": -0.10855071481870321, + "first_commit": "2022-05-24 08:12:05", + "latest_commit": "2024-07-26 15:59:24", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "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": "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", "downloads": 14, "source": "Hugging Face", - "score": -0.10626829081279571, - "first_commit": "2023-04-20 17:51:47", - "latest_commit": "2023-04-21 18:00:04", + "score": -0.10855071481870321, + "first_commit": "2021-07-07 12:08:11", + "latest_commit": "2023-10-10 06:46:01", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "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", + "description": "Google's mt5-base fine-tuned in Japanese to summarize patent claims in a limited Pharmaceutical domain. ", + "url": "https://huggingface.co./kz/mt5base-finetuned-patentsum-japanese-small", + "project_name": "mt5base-finetuned-patentsum-japanese-small", "downloads": 14, "source": "Hugging Face", - "score": -0.10626829081279571, - "first_commit": "2021-04-21 11:28:11", - "latest_commit": "2021-05-18 22:55:03", + "score": -0.10855071481870321, + "first_commit": "2021-04-10 00:31:15", + "latest_commit": "2022-05-19 06:50:32", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "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-passages", - "project_name": "aio-passages", + "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", "downloads": 14, "source": "Hugging Face", - "score": -0.10626829081279571, - "first_commit": "2023-06-06 02:03:34", - "latest_commit": "2023-06-24 05:55:37", + "score": -0.10855071481870321, + "first_commit": "2023-04-05 12:25:01", + "latest_commit": "2023-04-11 13:40:37", "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", + "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", "downloads": 14, "source": "Hugging Face", - "score": -0.10626829081279571, - "first_commit": "2023-04-22 14:32:21", - "latest_commit": "2023-12-12 11:22:26", + "score": -0.10855071481870321, + "first_commit": "2024-03-03 16:06:15", + "latest_commit": "2024-03-03 16:20:35", + "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": -0.1085657010523569, + "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": -0.1085657010523569, + "first_commit": "2022-02-13 01:00:41", + "latest_commit": "2023-11-05 18:44:20", + "languages": [], + "model_or_dataset": "model", + "model_size": 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, + "source": "Hugging Face", + "score": -0.1085657010523569, + "first_commit": "2021-10-04 13:43:37", + "latest_commit": "2023-10-21 13:21:28", + "languages": [], + "model_or_dataset": "model", + "model_size": 0.013800000000000002 + }, + { + "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, + "source": "Hugging Face", + "score": -0.1085657010523569, + "first_commit": "2021-10-04 13:42:57", + "latest_commit": "2022-12-09 00:41:39", + "languages": [], + "model_or_dataset": "model", + "model_size": 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��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, + "source": "Hugging Face", + "score": -0.1085657010523569, + "first_commit": "2023-02-11 18:39:14", + "latest_commit": "2023-07-21 14:09:44", + "languages": [], + "model_or_dataset": "model", + "model_size": 0.279 + }, + { + "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", + "downloads": 13, + "source": "Hugging Face", + "score": -0.1085657010523569, + "first_commit": "2023-06-26 13:37:53", + "latest_commit": "2023-07-02 14:30:47", "languages": [], - "model_or_dataset": "dataset", + "model_or_dataset": "model", "model_size": null }, { - "description": "roberta-large-japanese-aozora Model Description", - "url": "https://huggingface.co./KoichiYasuoka/roberta-large-japanese-aozora", - "project_name": "roberta-large-japanese-aozora", + "description": "This model is traned with guanaco dataset.", + "url": "https://huggingface.co./ganchengguang/Yoko-7B-Japanese-v1", + "project_name": "Yoko-7B-Japanese-v1", "downloads": 13, "source": "Hugging Face", - "score": -0.1062828987702187, - "first_commit": "2021-12-26 13:08:52", - "latest_commit": "2022-10-15 14:22:11", + "score": -0.1085657010523569, + "first_commit": "2023-08-10 13:01:38", + "latest_commit": "2023-08-10 13:11:05", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "description": "roberta-base-japanese-aozora Model Description", - "url": "https://huggingface.co./KoichiYasuoka/roberta-base-japanese-aozora", - "project_name": "roberta-base-japanese-aozora", + "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", "downloads": 13, "source": "Hugging Face", - "score": -0.1062828987702187, - "first_commit": "2021-12-21 00:04:03", - "latest_commit": "2022-10-15 14:20:11", + "score": -0.1085657010523569, + "first_commit": "2023-10-16 04:12:34", + "latest_commit": "2023-10-16 13:49:48", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "description": "japanese-gpt-1b This repository provides a 1.3B-parameter Japanese GPT model.", - "url": "https://huggingface.co./yohida/yoshida_gpt", - "project_name": "yoshida_gpt", + "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", "downloads": 13, "source": "Hugging Face", - "score": -0.1062828987702187, - "first_commit": "2022-02-04 10:03:54", - "latest_commit": "2022-02-04 10:13:45", + "score": -0.1085657010523569, + "first_commit": "2023-12-09 13:36:32", + "latest_commit": "2023-12-09 15:19:57", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "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": "Orion-14B 🌐English | 🇨", + "url": "https://huggingface.co./zaq-hack/Orion-14B-LongChat-bpw600-h6-exl2", + "project_name": "Orion-14B-LongChat-bpw600-h6-exl2", "downloads": 13, "source": "Hugging Face", - "score": -0.1062828987702187, - "first_commit": "2022-09-18 08:41:06", - "latest_commit": "2023-05-12 01:29:13", + "score": -0.1085657010523569, + "first_commit": "2024-01-25 16:58:27", + "latest_commit": "2024-01-25 21:01:29", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "description": "TaCOMET_ja", - "url": "https://huggingface.co./nlp-waseda/tacomet-gpt2-xl-japanese", - "project_name": "tacomet-gpt2-xl-japanese", + "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": -0.1062828987702187, - "first_commit": "2024-03-07 11:50:15", - "latest_commit": "2024-06-05 09:41:05", + "score": -0.1085657010523569, + "first_commit": "2024-01-24 19:05:34", + "latest_commit": "2024-02-02 06:39:21", "languages": [], "model_or_dataset": "model", "model_size": 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-6.0bpw-h6-exl2", - "project_name": "SambaLingo-Japanese-Chat-6.0bpw-h6-exl2", + "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": 13, "source": "Hugging Face", - "score": -0.1062828987702187, - "first_commit": "2024-03-07 06:55:28", - "latest_commit": "2024-03-07 06:57:49", + "score": -0.1085657010523569, + "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 }, { - "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", + "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": 13, "source": "Hugging Face", - "score": -0.1062828987702187, - "first_commit": "2024-03-07 06:50:19", - "latest_commit": "2024-03-07 06:51:42", + "score": -0.1085657010523569, + "first_commit": "2024-03-03 12:51:40", + "latest_commit": "2024-03-03 13:39:01", + "languages": [], + "model_or_dataset": "model", + "model_size": 21.5 + }, + { + "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": -0.1085657010523569, + "first_commit": "2024-03-07 11:50:15", + "latest_commit": "2024-06-05 09:41:05", "languages": [], "model_or_dataset": "model", "model_size": null @@ -12718,7 +12263,7 @@ "project_name": "ELYZA-japanese-Llama-2-MoE-2x7B-v0.1-GGUF", "downloads": 13, "source": "Hugging Face", - "score": -0.1062828987702187, + "score": -0.1085657010523569, "first_commit": "2024-03-06 15:44:10", "latest_commit": "2024-03-07 13:23:01", "languages": [], @@ -12726,131 +12271,131 @@ "model_size": 11.1 }, { - "description": "swallow-hermes-st-v1 物語作成に強めなモデルが出来ないかと考えて作ったモデルです。", - "url": "https://huggingface.co./napopoa32/swallow-hermes-st-v1", - "project_name": "swallow-hermes-st-v1", + "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", "downloads": 13, "source": "Hugging Face", - "score": -0.1062828987702187, - "first_commit": "2024-03-24 06:19:48", - "latest_commit": "2024-03-26 12:36:41", + "score": -0.1085657010523569, + "first_commit": "2023-05-26 14:33:37", + "latest_commit": "2023-05-26 15:02:41", "languages": [], "model_or_dataset": "model", - "model_size": 7.33 + "model_size": null }, { - "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���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": "Bloom model trained on Japanese corpus.", + "url": "https://huggingface.co./Aruno/Bloom-JP-160m", + "project_name": "Bloom-JP-160m", "downloads": 13, "source": "Hugging Face", - "score": -0.1062828987702187, - "first_commit": "2024-04-22 09:34:13", - "latest_commit": "2024-04-22 09:39:09", + "score": -0.1085657010523569, + "first_commit": "2023-04-24 04:47:05", + "latest_commit": "2023-04-24 05:12:10", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "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": "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": 13, "source": "Hugging Face", - "score": -0.1062828987702187, - "first_commit": "2024-05-01 02:56:38", - "latest_commit": "2024-05-04 04:07:00", + "score": -0.1085657010523569, + "first_commit": "2022-09-18 08:41:06", + "latest_commit": "2023-05-12 01:29:13", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": null }, { - "description": "japanese-chat-umievo-itr004-7b", - "url": "https://huggingface.co./umiyuki/Japanese-Chat-Umievo-itr004-7b", - "project_name": "Japanese-Chat-Umievo-itr004-7b", + "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": 13, "source": "Hugging Face", - "score": -0.1062828987702187, - "first_commit": "2024-05-12 11:48:36", - "latest_commit": "2024-05-13 14:08:37", + "score": -0.1085657010523569, + "first_commit": "2022-09-18 08:10:44", + "latest_commit": "2023-03-19 01:58:12", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": 0.323 }, { - "description": "モデルの説明(English explanation is below.", - "url": "https://huggingface.co./keitokei1994/Llama-3-ELYZA-hermes-2x8B", - "project_name": "Llama-3-ELYZA-hermes-2x8B", + "description": "deberta-large-japanese-aozora Model Description", + "url": "https://huggingface.co./KoichiYasuoka/deberta-large-japanese-aozora", + "project_name": "deberta-large-japanese-aozora", "downloads": 13, "source": "Hugging Face", - "score": -0.1062828987702187, - "first_commit": "2024-06-26 15:11:08", - "latest_commit": "2024-06-27 04:00:37", + "score": -0.1085657010523569, + "first_commit": "2022-05-26 14:46:58", + "latest_commit": "2023-01-14 00:27:22", "languages": [], "model_or_dataset": "model", - "model_size": 13.7 + "model_size": null }, { - "description": "Oumuamua-7b-instruct-v2-RP nitky/Oumuamua-7b-instruct-v2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。 ", - "url": "https://huggingface.co./Aratako/Oumuamua-7b-instruct-v2-RP", - "project_name": "Oumuamua-7b-instruct-v2-RP", + "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": 13, "source": "Hugging Face", - "score": -0.1062828987702187, - "first_commit": "2024-06-21 13:51:55", - "latest_commit": "2024-06-23 13:55:42", + "score": -0.1085657010523569, + "first_commit": "2021-11-13 16:28:23", + "latest_commit": "2021-11-14 02:34:01", "languages": [], "model_or_dataset": "model", - "model_size": 7.33 + "model_size": null }, { - "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": "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", "downloads": 13, "source": "Hugging Face", - "score": -0.1062828987702187, - "first_commit": "2024-06-12 02:24:28", - "latest_commit": "2024-06-12 03:00:35", + "score": -0.1085657010523569, + "first_commit": "2024-03-29 23:31:35", + "latest_commit": "2024-03-30 00:51:03", "languages": [], "model_or_dataset": "model", - "model_size": 7.32 + "model_size": 12.9 }, { - "description": "Japanese-Alpaca-2-13B Japanese-Alpaca-2-13Bは指示実行モデル、フルモデルです。 ", - "url": "https://huggingface.co./owner203/japanese-alpaca-2-13b", - "project_name": "japanese-alpaca-2-13b", - "downloads": 13, + "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": 12, "source": "Hugging Face", - "score": -0.1062828987702187, - "first_commit": "2023-12-20 10:55:29", - "latest_commit": "2023-12-26 11:40:50", + "score": -0.1085806872860106, + "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 }, { - "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", - "downloads": 13, + "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", + "downloads": 12, "source": "Hugging Face", - "score": -0.1062828987702187, - "first_commit": "2023-11-15 16:33:25", - "latest_commit": "2023-11-16 14:28:39", + "score": -0.1085806872860106, + "first_commit": "2022-01-26 15:43:02", + "latest_commit": "2022-03-23 18:34:20", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "description": "deberta-large-japanese-luw-upos Model Description", - "url": "https://huggingface.co./KoichiYasuoka/deberta-large-japanese-luw-upos", - "project_name": "deberta-large-japanese-luw-upos", - "downloads": 13, + "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", + "downloads": 12, "source": "Hugging Face", - "score": -0.1062828987702187, - "first_commit": "2022-05-26 14:52:32", - "latest_commit": "2023-01-14 23:15:30", + "score": -0.1085806872860106, + "first_commit": "2021-10-04 14:06:48", + "latest_commit": "2022-12-09 00:42:10", "languages": [], "model_or_dataset": "model", "model_size": null @@ -12859,9 +12404,9 @@ "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", - "downloads": 13, + "downloads": 12, "source": "Hugging Face", - "score": -0.1062828987702187, + "score": -0.1085806872860106, "first_commit": "2021-11-09 16:58:01", "latest_commit": "2023-10-10 06:27:03", "languages": [], @@ -12869,355 +12414,355 @@ "model_size": 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-fin", - "project_name": "bert-small-japanese-fin", - "downloads": 13, + "description": "deberta-large-japanese-unidic Model Description", + "url": "https://huggingface.co./KoichiYasuoka/deberta-large-japanese-unidic", + "project_name": "deberta-large-japanese-unidic", + "downloads": 12, "source": "Hugging Face", - "score": -0.1062828987702187, - "first_commit": "2021-10-04 13:15:37", - "latest_commit": "2022-12-09 00:41:24", + "score": -0.1085806872860106, + "first_commit": "2022-06-10 12:49:12", + "latest_commit": "2022-06-19 09:15:35", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "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", - "downloads": 13, + "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", + "downloads": 12, "source": "Hugging Face", - "score": -0.1062828987702187, - "first_commit": "2022-01-26 15:43:02", - "latest_commit": "2022-03-23 18:34:20", + "score": -0.1085806872860106, + "first_commit": "2022-08-01 14:59:47", + "latest_commit": "2022-08-14 05:47:18", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "description": "This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - JA dataset.", - "url": "https://huggingface.co./AndrewMcDowell/wav2vec2-xls-r-1b-japanese-hiragana-katakana", - "project_name": "wav2vec2-xls-r-1b-japanese-hiragana-katakana", - "downloads": 13, + "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", + "downloads": 12, "source": "Hugging Face", - "score": -0.1062828987702187, - "first_commit": "2022-02-04 11:27:09", - "latest_commit": "2022-03-24 11:56:32", + "score": -0.1085806872860106, + "first_commit": "2023-11-15 16:33:25", + "latest_commit": "2023-11-16 14:28:39", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "description": "東方トカマクラブ データセット 概要 このデータセットは、東方Projectのトカマクラブに関する情報を収集したものです。", - "url": "https://huggingface.co./datasets/MakiAi/Tokama_Club_QA", - "project_name": "Tokama_Club_QA", - "downloads": 13, + "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": -0.1062828987702187, - "first_commit": "2023-12-20 15:37:51", - "latest_commit": "2023-12-20 15:46:02", + "score": -0.1085806872860106, + "first_commit": "2024-01-04 12:33:19", + "latest_commit": "2024-01-05 15:48:24", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": 7.24 }, { - "description": "It covers multiple fields such as tourism, medical treatment, daily life, news, etc. ", - "url": "https://huggingface.co./datasets/Nexdata/English-Japanese_Parallel_Corpus_Data", - "project_name": "English-Japanese_Parallel_Corpus_Data", - "downloads": 13, + "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", + "downloads": 12, "source": "Hugging Face", - "score": -0.1062828987702187, - "first_commit": "2023-11-08 10:47:40", - "latest_commit": "2024-08-05 03:14:27", + "score": -0.1085806872860106, + "first_commit": "2024-02-08 08:08:41", + "latest_commit": "2024-03-20 05:41:04", "languages": [], - "model_or_dataset": "dataset", - "model_size": null + "model_or_dataset": "model", + "model_size": 0.07529999999999999 }, { - "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", + "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", "downloads": 12, "source": "Hugging Face", - "score": -0.10629750672764168, - "first_commit": "2024-02-02 12:39:11", - "latest_commit": "2024-02-03 00:28:28", + "score": -0.1085806872860106, + "first_commit": "2024-02-15 22:49:08", + "latest_commit": "2024-04-16 22:33:28", "languages": [], "model_or_dataset": "model", - "model_size": 1.88 + "model_size": null }, { - "description": "roberta-large-japanese-char-luw-upos Model Description", - "url": "https://huggingface.co./KoichiYasuoka/roberta-large-japanese-char-luw-upos", - "project_name": "roberta-large-japanese-char-luw-upos", + "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", "downloads": 12, "source": "Hugging Face", - "score": -0.10629750672764168, - "first_commit": "2021-12-30 15:56:46", - "latest_commit": "2022-09-18 19:44:49", + "score": -0.1085806872860106, + "first_commit": "2024-04-20 08:49:14", + "latest_commit": "2024-04-20 08:49:19", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 1.39 }, { - "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-paper-japanese-generator", - "project_name": "electra-small-paper-japanese-generator", + "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", "downloads": 12, "source": "Hugging Face", - "score": -0.10629750672764168, - "first_commit": "2021-10-04 13:47:24", - "latest_commit": "2023-10-21 13:21:31", + "score": -0.1085806872860106, + "first_commit": "2024-04-28 06:45:18", + "latest_commit": "2024-05-12 07:20:39", "languages": [], "model_or_dataset": "model", - "model_size": 0.00491 + "model_size": 0.111 }, - { - "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": "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": 12, "source": "Hugging Face", - "score": -0.10629750672764168, - "first_commit": "2021-10-04 14:06:48", - "latest_commit": "2022-12-09 00:42:10", + "score": -0.1085806872860106, + "first_commit": "2024-05-03 04:03:47", + "latest_commit": "2024-05-03 04:30:45", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 7.24 }, { - "description": "deberta-base-japanese-unidic Model Description", - "url": "https://huggingface.co./KoichiYasuoka/deberta-base-japanese-unidic", - "project_name": "deberta-base-japanese-unidic", + "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", "downloads": 12, "source": "Hugging Face", - "score": -0.10629750672764168, - "first_commit": "2022-06-08 08:05:33", - "latest_commit": "2022-06-18 23:02:31", + "score": -0.1085806872860106, + "first_commit": "2024-05-07 10:03:15", + "latest_commit": "2024-05-10 05:39:04", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 7.57 }, { - "description": "Model Card Summary This model was trained using H2O LLM Studio.", - "url": "https://huggingface.co./yukismd/JapaneseQuizChatbot_v1", - "project_name": "JapaneseQuizChatbot_v1", + "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。 ", + "url": "https://huggingface.co./Aratako/Ninja-v1-RP-WIP", + "project_name": "Ninja-v1-RP-WIP", "downloads": 12, "source": "Hugging Face", - "score": -0.10629750672764168, - "first_commit": "2023-06-08 00:25:01", - "latest_commit": "2023-06-08 00:48:50", + "score": -0.1085806872860106, + "first_commit": "2024-05-19 15:31:02", + "latest_commit": "2024-05-20 16:56:00", "languages": [], "model_or_dataset": "model", - "model_size": null + "model_size": 7.24 }, { - "description": "Superswallow-70b-v0.1 Known Performance Issues Two potential bugs have been found in this model: NEED repetition_penalty NEED high temperature Reference: Japanese LLM benchmark results at Nejumi LLM Leaderboad Neo", - "url": "https://huggingface.co./nitky/Superswallow-70b-v0.1", - "project_name": "Superswallow-70b-v0.1", + "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": 12, "source": "Hugging Face", - "score": -0.10629750672764168, - "first_commit": "2024-01-12 03:54:16", - "latest_commit": "2024-01-20 18:18:09", + "score": -0.1085806872860106, + "first_commit": "2023-10-24 13:56:21", + "latest_commit": "2023-10-26 04:21:35", "languages": [], "model_or_dataset": "model", - "model_size": 69.2 + "model_size": 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", + "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": 12, "source": "Hugging Face", - "score": -0.10629750672764168, - "first_commit": "2024-05-06 11:39:26", - "latest_commit": "2024-05-08 12:44:05", + "score": -0.1085806872860106, + "first_commit": "2022-10-31 06:53:19", + "latest_commit": "2022-11-07 12:06:32", "languages": [], "model_or_dataset": "model", - "model_size": 0.464 + "model_size": null }, { - "description": "kurogane/Llama3-BioYouri-8B-mergetest このモデルは生物学・医学に精通したOpenBioLLM-8Bをベースに、日本語対応を向上させるためにLlama-3-youko-8b-instruct-chatvectorとマージさせたモデルです。 ", - "url": "https://huggingface.co./kurogane/Llama3-BioYouri-8B-instruct-chatvector-mergetest", - "project_name": "Llama3-BioYouri-8B-instruct-chatvector-mergetest", + "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": -0.10629750672764168, - "first_commit": "2024-05-10 08:34:11", - "latest_commit": "2024-05-21 12:53:33", + "score": -0.1085806872860106, + "first_commit": "2022-09-18 06:02:55", + "latest_commit": "2024-08-20 19:38:50", "languages": [], "model_or_dataset": "model", - "model_size": 8.03 + "model_size": null }, { - "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./eliashasnat/phi-3", - "project_name": "phi-3", + "description": "deberta-small-japanese-aozora Model Description", + "url": "https://huggingface.co./KoichiYasuoka/deberta-small-japanese-aozora", + "project_name": "deberta-small-japanese-aozora", "downloads": 12, "source": "Hugging Face", - "score": -0.10629750672764168, - "first_commit": "2024-05-08 06:05:02", - "latest_commit": "2024-05-08 15:48:53", + "score": -0.1085806872860106, + "first_commit": "2022-05-23 04:58:53", + "latest_commit": "2023-01-15 15:25:14", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "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": "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", "downloads": 12, "source": "Hugging Face", - "score": -0.10629750672764168, - "first_commit": "2024-03-09 16:47:29", - "latest_commit": "2024-03-21 14:33:07", + "score": -0.1085806872860106, + "first_commit": "2021-07-07 12:10:08", + "latest_commit": "2023-10-10 06:45:12", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": null }, { - "description": "Barba Barba is a multilingual natural language inference model for textual entailment and zero-shot text classification, available as an end-to-end service through TensorFlow Serving.", - "url": "https://huggingface.co./hyperonym/barba", - "project_name": "barba", + "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": 12, "source": "Hugging Face", - "score": -0.10629750672764168, - "first_commit": "2023-04-29 06:27:12", - "latest_commit": "2023-04-29 13:45:12", + "score": -0.1085806872860106, + "first_commit": "2021-04-21 11:28:24", + "latest_commit": "2021-05-18 22:56:15", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "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": "roberta-large-japanese-char-luw-upos Model Description", + "url": "https://huggingface.co./KoichiYasuoka/roberta-large-japanese-char-luw-upos", + "project_name": "roberta-large-japanese-char-luw-upos", "downloads": 12, "source": "Hugging Face", - "score": -0.10629750672764168, - "first_commit": "2021-07-07 12:08:11", - "latest_commit": "2023-10-10 06:46:01", + "score": -0.1085806872860106, + "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": "transformers-ud-japanese-electra-ginza (sudachitra-wordpiece, mC4 Japanese) -", - "url": "https://huggingface.co./megagonlabs/transformers-ud-japanese-electra-base-discriminator", - "project_name": "transformers-ud-japanese-electra-base-discriminator", - "downloads": 12, + "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": -0.10629750672764168, - "first_commit": "2021-08-23 09:54:09", - "latest_commit": "2021-09-22 11:00:15", + "score": -0.1085956735196643, + "first_commit": "2021-12-21 00:41:00", + "latest_commit": "2022-09-18 19:44:22", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "description": "Byt5-small-ain-jpn-mt is a machine translation model pretrained with Google's ByT5-small and fine-tuned on bilingual datasets crawled from the Web.", - "url": "https://huggingface.co./Language-Media-Lab/byt5-small-ain-jpn-mt", - "project_name": "byt5-small-ain-jpn-mt", - "downloads": 12, + "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, "source": "Hugging Face", - "score": -0.10629750672764168, - "first_commit": "2022-01-25 06:37:11", - "latest_commit": "2022-02-04 13:03:14", + "score": -0.1085956735196643, + "first_commit": "2021-10-26 13:54:17", + "latest_commit": "2022-09-18 19:43:45", "languages": [], "model_or_dataset": "model", "model_size": 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", - "downloads": 12, + "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, "source": "Hugging Face", - "score": -0.10629750672764168, - "first_commit": "2024-04-12 01:54:01", - "latest_commit": "2024-04-12 08:59:36", + "score": -0.1085956735196643, + "first_commit": "2021-08-26 22:44:12", + "latest_commit": "2022-06-21 07:21:54", "languages": [], - "model_or_dataset": "dataset", + "model_or_dataset": "model", "model_size": null }, { - "description": "roberta-small-japanese-aozora Model Description", - "url": "https://huggingface.co./KoichiYasuoka/roberta-small-japanese-aozora", - "project_name": "roberta-small-japanese-aozora", + "description": "deberta-base-japanese-unidic Model Description", + "url": "https://huggingface.co./KoichiYasuoka/deberta-base-japanese-unidic", + "project_name": "deberta-base-japanese-unidic", "downloads": 11, "source": "Hugging Face", - "score": -0.10631211468506467, - "first_commit": "2021-11-02 12:54:50", - "latest_commit": "2021-11-03 23:44:50", + "score": -0.1085956735196643, + "first_commit": "2022-06-08 08:05:33", + "latest_commit": "2022-06-18 23:02:31", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "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", + "description": "fasttext-jp-embedding This model is experimental.", + "url": "https://huggingface.co./paulhindemith/fasttext-jp-embedding", + "project_name": "fasttext-jp-embedding", "downloads": 11, "source": "Hugging Face", - "score": -0.10631211468506467, - "first_commit": "2021-03-28 04:21:20", - "latest_commit": "2023-02-08 00:15:23", + "score": -0.1085956735196643, + "first_commit": "2022-11-05 11:14:51", + "latest_commit": "2022-11-16 22:21:49", "languages": [], "model_or_dataset": "model", - "model_size": 0.318 + "model_size": null }, { - "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": "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": 11, "source": "Hugging Face", - "score": -0.10631211468506467, - "first_commit": "2023-05-06 03:16:54", - "latest_commit": "2023-05-07 15:47:23", + "score": -0.1085956735196643, + "first_commit": "2023-01-18 11:14:31", + "latest_commit": "2023-01-21 02:10:41", "languages": [], "model_or_dataset": "model", - "model_size": 1.33 + "model_size": null }, { - "description": "Chatvector-llava-v1.5-plus-Houou-v3-7b Model Card Model Details ※好奇心から生まれたモデルです。", - "url": "https://huggingface.co./shinyice/chatvector-llava-v1.5-plus-houou-v3-7b", - "project_name": "chatvector-llava-v1.5-plus-houou-v3-7b", + "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", "downloads": 11, "source": "Hugging Face", - "score": -0.10631211468506467, - "first_commit": "2024-06-04 04:24:06", - "latest_commit": "2024-06-04 05:12:10", + "score": -0.1085956735196643, + "first_commit": "2023-05-23 16:59:22", + "latest_commit": "2023-05-30 16:01:20", "languages": [], "model_or_dataset": "model", - "model_size": 7.06 + "model_size": null }, { - "description": "gpt2-medium-japanese-upos Model Description", - "url": "https://huggingface.co./KoichiYasuoka/gpt2-medium-japanese-upos", - "project_name": "gpt2-medium-japanese-upos", + "description": "Model Card Summary This model was trained using H2O LLM Studio.", + "url": "https://huggingface.co./yukismd/JapaneseQuizChatbot_v1", + "project_name": "JapaneseQuizChatbot_v1", "downloads": 11, "source": "Hugging Face", - "score": -0.10631211468506467, - "first_commit": "2024-06-22 22:39:14", - "latest_commit": "2024-07-27 07:49:41", + "score": -0.1085956735196643, + "first_commit": "2023-06-08 00:25:01", + "latest_commit": "2023-06-08 00:48:50", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "description": "TinySlime-1.1B-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-v1.0", - "project_name": "TinySlime-1.1B-v1.0", + "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", "downloads": 11, "source": "Hugging Face", - "score": -0.10631211468506467, - "first_commit": "2024-06-14 23:46:31", - "latest_commit": "2024-07-02 03:58:25", + "score": -0.1085956735196643, + "first_commit": "2024-03-09 16:47:29", + "latest_commit": "2024-03-21 14:33:07", "languages": [], "model_or_dataset": "model", - "model_size": 1.1 + "model_size": 7.24 }, { "description": "TigerBot-7B Japanese", @@ -13225,7 +12770,7 @@ "project_name": "tigerbot-7b-base-random-ja", "downloads": 11, "source": "Hugging Face", - "score": -0.10631211468506467, + "score": -0.1085956735196643, "first_commit": "2024-04-21 16:43:53", "latest_commit": "2024-04-22 09:05:05", "languages": [], @@ -13233,108 +12778,134 @@ "model_size": 6.74 }, { - "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", + "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", "downloads": 11, "source": "Hugging Face", - "score": -0.10631211468506467, - "first_commit": "2024-03-06 11:07:05", - "latest_commit": "2024-03-19 02:31:33", + "score": -0.1085956735196643, + "first_commit": "2024-05-01 02:56:38", + "latest_commit": "2024-05-04 04:07:00", "languages": [], "model_or_dataset": "model", - "model_size": 11.1 + "model_size": 7.24 }, { - "description": "Orion-14B 🌐English | 🇨", - "url": "https://huggingface.co./sosoai/Orion-14B-Chat-RAG-safetensors", - "project_name": "Orion-14B-Chat-RAG-safetensors", + "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": 11, "source": "Hugging Face", - "score": -0.10631211468506467, - "first_commit": "2024-01-25 00:05:06", - "latest_commit": "2024-01-25 02:09:15", + "score": -0.1085956735196643, + "first_commit": "2024-05-27 14:58:38", + "latest_commit": "2024-05-28 03:02:14", "languages": [], "model_or_dataset": "model", - "model_size": 14.5 + "model_size": null }, { - "description": "モデルの概要 line-corporation/japanese-large-lm-1.7bのベースモデルに対し，sftによるfull instruction tuningを行いました．", - "url": "https://huggingface.co./ToPo-ToPo/line-japanese-large-lm-1.7b-kunishou-databricks-dolly-15k-ja-full-instruction-sft", - "project_name": "line-japanese-large-lm-1.7b-kunishou-databricks-dolly-15k-ja-full-instruction-sft", + "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": 11, "source": "Hugging Face", - "score": -0.10631211468506467, - "first_commit": "2024-01-20 12:35:16", - "latest_commit": "2024-01-20 12:46:21", + "score": -0.1085956735196643, + "first_commit": "2024-07-02 03:34:30", + "latest_commit": "2024-07-02 08:53:11", "languages": [], "model_or_dataset": "model", - "model_size": 1.65 + "model_size": 1.1 }, { - "description": "COMET-GPT2 ja v2 Finetuned GPT-2 on the large version of ATOMIC ja using a causal language modeling (CLM) objective.", - "url": "https://huggingface.co./nlp-waseda/comet-v2-gpt2-small-japanese", - "project_name": "comet-v2-gpt2-small-japanese", + "description": "gpt2-medium-japanese-upos Model Description", + "url": "https://huggingface.co./KoichiYasuoka/gpt2-medium-japanese-upos", + "project_name": "gpt2-medium-japanese-upos", "downloads": 11, "source": "Hugging Face", - "score": -0.10631211468506467, - "first_commit": "2023-03-05 13:39:03", - "latest_commit": "2023-03-14 16:56:19", + "score": -0.1085956735196643, + "first_commit": "2024-06-22 22:39:14", + "latest_commit": "2024-07-27 07:49:41", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "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": "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", "downloads": 11, "source": "Hugging Face", - "score": -0.10631211468506467, - "first_commit": "2023-01-18 11:14:31", - "latest_commit": "2023-01-21 02:10:41", + "score": -0.1085956735196643, + "first_commit": "2024-05-24 18:58:48", + "latest_commit": "2024-06-11 07:41:22", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "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。 ", - "url": "https://huggingface.co./huranokuma/es_IT", - "project_name": "es_IT", + "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", "downloads": 11, "source": "Hugging Face", - "score": -0.10631211468506467, - "first_commit": "2022-08-13 06:48:58", - "latest_commit": "2022-08-14 05:47:05", + "score": -0.1085956735196643, + "first_commit": "2024-04-22 09:34:13", + "latest_commit": "2024-04-22 09:39:09", "languages": [], "model_or_dataset": "model", "model_size": 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", + "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", "downloads": 11, "source": "Hugging Face", - "score": -0.10631211468506467, - "first_commit": "2021-08-26 22:44:12", - "latest_commit": "2022-06-21 07:21:54", + "score": -0.1085956735196643, + "first_commit": "2023-05-06 03:16:54", + "latest_commit": "2023-05-07 15:47:23", + "languages": [], + "model_or_dataset": "model", + "model_size": 1.33 + }, + { + "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", + "downloads": 11, + "source": "Hugging Face", + "score": -0.1085956735196643, + "first_commit": "2023-04-20 17:51:47", + "latest_commit": "2023-04-21 18:00:04", "languages": [], "model_or_dataset": "model", "model_size": null }, { - "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。 ", - "url": "https://huggingface.co./Aratako/Ninja-v1-RP-WIP", - "project_name": "Ninja-v1-RP-WIP", + "description": "bart-base-japanese-news(base-sized model)", + "url": "https://huggingface.co./stockmark/bart-base-japanese-news", + "project_name": "bart-base-japanese-news", "downloads": 11, "source": "Hugging Face", - "score": -0.10631211468506467, - "first_commit": "2024-05-19 15:31:02", - "latest_commit": "2024-05-20 16:56:00", + "score": -0.1085956735196643, + "first_commit": "2023-01-20 04:23:07", + "latest_commit": "2023-12-08 03:39:50", "languages": [], "model_or_dataset": "model", - "model_size": 7.24 + "model_size": 0.125 + }, + { + "description": "Dataset Details Dataset Type:Japanese LLaVA Pretrain is a localized version of the original LLaVA Pretrain dataset.", + "url": "https://huggingface.co./datasets/turing-motors/LLaVA-Pretrain-JA", + "project_name": "LLaVA-Pretrain-JA", + "downloads": 11, + "source": "Hugging Face", + "score": -0.1085956735196643, + "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.", @@ -13342,7 +12913,7 @@ "project_name": "tanaka-corpus", "downloads": 11, "source": "Hugging Face", - "score": -0.10631211468506467, + "score": -0.1085956735196643, "first_commit": "2024-03-21 01:49:50", "latest_commit": "2024-03-21 12:50:28", "languages": [], @@ -13350,14 +12921,14 @@ "model_size": null }, { - "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": "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": -0.10631211468506467, - "first_commit": "2024-03-26 13:08:14", - "latest_commit": "2024-04-01 04:30:44", + "score": -0.1085956735196643, + "first_commit": "2024-07-08 18:06:27", + "latest_commit": "2024-07-24 18:58:08", "languages": [], "model_or_dataset": "dataset", "model_size": null