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Japanese text, with the main focus being Japanese manga", "url": "https://github.com/kha-white/manga-ocr", "project_name": "manga-ocr", "stargazers_count": 1517, "source": "GitHub", "score": 4.095679731078279, "first_commit": "2022-01-15 18:18:35", "latest_commit": "2024-06-29 11:23:04", "languages": [ "Python" ], "model_or_dataset": null }, { "description": "Whisper based Japanese subtitle generator", "url": "https://github.com/Ayanaminn/N46Whisper", "project_name": "N46Whisper", "stargazers_count": 1515, "source": "GitHub", "score": 4.089833650082834, "first_commit": "2022-10-25 16:27:20", "latest_commit": "2024-06-30 15:22:02", "languages": [ "Python", "Jupyter Notebook" ], "model_or_dataset": 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": 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}, { "description": "Japanese morphological analysis engine written in pure Python", "url": "https://github.com/mocobeta/janome", "project_name": "janome", "stargazers_count": 843, "source": "GitHub", "score": 2.125550435613454, "first_commit": "2015-02-14 18:45:54", "latest_commit": "2023-07-01 20:31:23", "languages": [ "Python" ], "model_or_dataset": 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のコア", "url": "https://github.com/VOICEVOX/voicevox_core", "project_name": "voicevox_core", "stargazers_count": 839, "source": "GitHub", "score": 2.1138582736225646, "first_commit": "2021-08-31 23:19:33", "latest_commit": "2024-08-14 00:00:48", "languages": [ "Rust", "Java", "Python", "C++", "Kotlin" ], "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 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"description": "Code for producing Japanese pretrained models provided by rinna Co., Ltd.", "url": "https://github.com/rinnakk/japanese-pretrained-models", "project_name": "japanese-pretrained-models", "stargazers_count": 576, "source": "GitHub", "score": 1.3450986227216017, "first_commit": "2021-04-06 13:48:14", "latest_commit": "2022-10-28 16:08:26", "languages": [ "Python" ], "model_or_dataset": "model" }, { "description": "This is a Japanese sentence-BERT model.", "url": "https://huggingface.co./sonoisa/sentence-bert-base-ja-mean-tokens-v2", "project_name": "sentence-bert-base-ja-mean-tokens-v2", "downloads": 94529, "source": "Hugging Face", "score": 1.3143054287750828, "first_commit": "2021-12-14 11:18:19", "latest_commit": "2024-04-17 11:39:38", "languages": [], "model_or_dataset": "model", "model_size": 0.111, "model_architectures": "BertModel" }, { "description": "mecab-python. mecab-python. you can find original version here:http://taku910.github.io/mecab/", "url": 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"https://huggingface.co./elyza/ELYZA-japanese-Llama-2-7b-instruct", "project_name": "ELYZA-japanese-Llama-2-7b-instruct", "downloads": 73346, "source": "Hugging Face", "score": 0.9955063224178874, "first_commit": "2023-08-28 12:58:25", "latest_commit": "2023-08-29 03:46:15", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "LlamaForCausalLM" }, { "description": "BERT base Japanese (unidic-lite with whole word masking, CC-100 and jawiki-20230102)", "url": "https://huggingface.co./tohoku-nlp/bert-base-japanese-v3", "project_name": "bert-base-japanese-v3", "downloads": 72082, "source": "Hugging Face", "score": 0.9764834233745275, "first_commit": "2023-05-19 00:13:53", "latest_commit": "2023-05-19 00:31:53", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "BertForPreTraining" }, { "description": "This is a Japanese sentence-BERT model.", "url": 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"languages": [ "Python" ], "model_or_dataset": null }, { "description": "A JSON kanji dataset with updated JLPT levels and WaniKani information", "url": "https://github.com/davidluzgouveia/kanji-data", "project_name": "kanji-data", "stargazers_count": 130, "source": "GitHub", "score": 0.04142256073745932, "first_commit": "2019-02-28 05:53:36", "latest_commit": "2019-12-29 12:12:54", "languages": [ "Python", "JavaScript" ], "model_or_dataset": "dataset" }, { "description": "A list of pre-trained BERT models for Japanese with word/subword tokenization + vocabulary construction algorithm information", "url": "https://github.com/himkt/awesome-bert-japanese", "project_name": "awesome-bert-japanese", "stargazers_count": 130, "source": "GitHub", "score": 0.04142256073745932, "first_commit": "2020-07-27 00:10:39", "latest_commit": "2023-03-15 18:51:20", "languages": [], "model_or_dataset": null }, { "description": "japanese-sentiment-analysis This model was trained from scratch on the chABSA 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"LukeForMaskedLM" }, { "description": "Wikipediaを用いた日本語の固有表現抽出データセット", "url": "https://github.com/stockmarkteam/ner-wikipedia-dataset", "project_name": "ner-wikipedia-dataset", "stargazers_count": 127, "source": "GitHub", "score": 0.03265343924429245, "first_commit": "2020-12-15 01:52:19", "latest_commit": "2023-09-02 23:44:38", "languages": [ "JavaScript" ], "model_or_dataset": "dataset" }, { "description": "GIS & Archaeological Simulator. 2023 in development.", "url": "https://github.com/AsPJT/PAX_SAPIENTICA", "project_name": "PAX_SAPIENTICA", "stargazers_count": 127, "source": "GitHub", "score": 0.03265343924429245, "first_commit": "2022-06-24 23:18:02", "latest_commit": "2024-08-13 01:06:14", "languages": [ "C++", "Java", "Python" ], "model_or_dataset": "dataset" }, { "description": "DeBERTa V2 small Japanese This is a DeBERTaV2 model pretrained on Japanese texts.", "url": "https://huggingface.co./izumi-lab/deberta-v2-small-japanese", "project_name": "deberta-v2-small-japanese", "downloads": 9324, "source": "Hugging Face", "score": 0.031990465966942626, "first_commit": "2023-10-21 13:24:28", "latest_commit": "2024-07-19 03:08:14", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "DebertaV2ForMaskedLM" }, { "description": "Node.js module for converting Japanese Hiragana and Katakana script to, and from, Romaji using Hepburn romanisation", "url": "https://github.com/lovell/hepburn", "project_name": "hepburn", "stargazers_count": 126, "source": "GitHub", "score": 0.029730398746570155, "first_commit": "2013-06-28 03:06:52", "latest_commit": "2023-09-08 09:11:19", "languages": [ "JavaScript" ], "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": 0.02235861835005148, "first_commit": "2023-05-19 00:33:09", "latest_commit": "2023-05-19 00:39:44", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "BertForPreTraining" }, { "description": "Kanji usage frequency data collected from various sources", "url": "https://github.com/scriptin/kanji-frequency", "project_name": "kanji-frequency", "stargazers_count": 123, "source": "GitHub", "score": 0.020961277253403274, "first_commit": "2016-01-23 01:19:08", "latest_commit": "2024-07-13 03:51:19", "languages": [ "JavaScript", "TypeScript" ], "model_or_dataset": "dataset" }, { "description": "Swallow Our Swallow model has undergone continual pre-training from the Llama 2 family, primarily with the addition of Japanese language data.", "url": "https://huggingface.co./tokyotech-llm/Swallow-7b-instruct-v0.1", "project_name": "Swallow-7b-instruct-v0.1", "downloads": 8505, "source": "Hugging Face", "score": 0.01966471096970224, "first_commit": "2024-03-04 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"CyberAgentLM2-7B (CALM2-7B)", "url": "https://huggingface.co./cyberagent/calm2-7b", "project_name": "calm2-7b", "downloads": 7555, "source": "Hugging Face", "score": 0.005367437163379449, "first_commit": "2023-11-01 07:24:59", "latest_commit": "2023-11-02 05:46:18", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "LlamaForCausalLM" }, { "description": "Python 3 library for manipulating Jim Breen's JMdict, KanjiDic2, JMnedict and kanji-radical mappings", "url": "https://github.com/neocl/jamdict", "project_name": "jamdict", "stargazers_count": 117, "source": "GitHub", "score": 0.0034230342670695203, "first_commit": "2016-10-25 10:47:58", "latest_commit": "2021-06-06 12:04:03", "languages": [ "Python" ], "model_or_dataset": "dataset" }, { "description": "ELYZA-japanese-Llama-2-7b-fast-instruct-gguf ELYZAさんが公開しているELYZA-japanese-Llama-2-7b-fast-instructのggufフォーマット変換版です。 ", "url": "https://huggingface.co./mmnga/ELYZA-japanese-Llama-2-7b-fast-instruct-gguf", "project_name": "ELYZA-japanese-Llama-2-7b-fast-instruct-gguf", "downloads": 7271, "source": "Hugging Face", "score": 0.0010933047833840044, "first_commit": "2023-08-29 15:31:01", "latest_commit": "2023-11-16 14:27:48", "languages": [], "model_or_dataset": "model", "model_size": 6.85, "model_architectures": null }, { "description": "lists of text corpus and more (mainly Japanese)", "url": "https://github.com/ikegami-yukino/dataset-list", "project_name": "dataset-list", "stargazers_count": 116, "source": "GitHub", "score": 0.0004999937693472276, "first_commit": "2015-11-21 22:38:56", "latest_commit": "2024-07-26 00:40:50", "languages": [], "model_or_dataset": null }, { "description": "A comparison tool of Japanese tokenizers", "url": "https://github.com/taishi-i/toiro", "project_name": "toiro", "stargazers_count": 115, "source": "GitHub", "score": -0.002423046728375065, "first_commit": "2020-08-13 19:49:15", "latest_commit": "2023-07-31 23:55:55", "languages": [ "Python", "Jupyter Notebook" ], "model_or_dataset": null }, { "description": "日本語WikipediaコーパスでBERTのPre-Trainedモデルを生成するためのリポジトリ", "url": "https://github.com/Kosuke-Szk/ja_text_bert", "project_name": "ja_text_bert", "stargazers_count": 115, "source": "GitHub", "score": -0.002423046728375065, "first_commit": "2018-10-31 18:23:04", "latest_commit": "2018-11-08 15:17:20", "languages": [ "Jupyter Notebook", "Python" ], "model_or_dataset": "model" }, { "description": "General-purpose Swich transformer based Japanese language mode", "url": "https://github.com/tanreinama/GPTSAN", "project_name": "GPTSAN", "stargazers_count": 115, "source": "GitHub", "score": -0.002423046728375065, "first_commit": "2022-02-11 14:38:55", "latest_commit": "2023-09-13 12:20:29", "languages": [ "Python" ], "model_or_dataset": "model" }, { "description": "【告知】chilled_remix及びreversemixは2023年5月21日にVersion変更を行い、v2へ移行いたしました。", "url": "https://huggingface.co./sazyou-roukaku/chilled_remix", "project_name": "chilled_remix", "downloads": 6546, "source": "Hugging Face", "score": -0.009817772595125493, "first_commit": "2023-04-18 12:48:48", "latest_commit": "2023-06-09 23:08:31", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": 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": 6466, "source": "Hugging Face", "score": -0.011021753547236886, "first_commit": "2021-06-11 02:56:39", "latest_commit": "2024-07-20 07:44:40", "languages": [], "model_or_dataset": "model", "model_size": 0.111, "model_architectures": "RobertaForMaskedLM" }, { "description": "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", "project_name": "HojiChar", "stargazers_count": 112, "source": "GitHub", "score": -0.011192168221541942, "first_commit": "2023-01-31 20:37:40", "latest_commit": "2024-08-15 17:25:48", "languages": [ "Python" ], "model_or_dataset": null }, { "description": "Emotion analyzer for Japanese text", "url": "https://github.com/ikegami-yukino/pymlask", "project_name": "pymlask", "stargazers_count": 112, "source": "GitHub", "score": -0.011192168221541942, "first_commit": "2017-02-10 21:33:23", "latest_commit": "2024-07-26 01:27:14", "languages": [ "Python" ], "model_or_dataset": null }, { "description": "japanese-gpt-neox-3.6b Overview This repository provides a Japanese GPT-NeoX model of 3.6 billion parameters.", "url": "https://huggingface.co./rinna/japanese-gpt-neox-3.6b", "project_name": "japanese-gpt-neox-3.6b", "downloads": 5963, "source": "Hugging Face", "score": -0.018591783783637267, "first_commit": "2023-05-17 02:16:45", "latest_commit": "2024-07-20 07:55:19", "languages": [], "model_or_dataset": "model", "model_size": 3.76, "model_architectures": "GPTNeoXForCausalLM" }, { "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": -0.019645267116734737, "first_commit": "2024-07-17 09:53:20", "latest_commit": "2024-07-17 10:03:02", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "A fast LSTM Language Model for large vocabulary language like Japanese and Chinese", "url": "https://github.com/jiali-ms/JLM", "project_name": "JLM", "stargazers_count": 109, "source": "GitHub", "score": -0.01996128971470882, "first_commit": "2018-01-10 14:12:41", "latest_commit": "2019-06-04 21:35:33", "languages": [ "Python" ], "model_or_dataset": null }, { "description": "日本語T5モデル", "url": "https://github.com/sonoisa/t5-japanese", "project_name": "t5-japanese", "stargazers_count": 109, "source": "GitHub", "score": -0.01996128971470882, "first_commit": "2021-03-28 22:12:19", "latest_commit": "2023-07-20 21:36:10", "languages": [ "Jupyter Notebook" ], "model_or_dataset": null }, { "description": "A Japanese accent dictionary generator", "url": "https://github.com/PKSHATechnology-Research/tdmelodic", "project_name": "tdmelodic", "stargazers_count": 109, "source": "GitHub", "score": -0.01996128971470882, "first_commit": "2020-09-14 18:12:46", "latest_commit": "2024-03-22 01:44:10", "languages": [ "Python" ], "model_or_dataset": "dataset" }, { "description": "transformers-ud-japanese-electra-ginza-510 (sudachitra-wordpiece, mC4 Japanese)", "url": "https://huggingface.co./megagonlabs/transformers-ud-japanese-electra-base-ginza-510", "project_name": "transformers-ud-japanese-electra-base-ginza-510", "downloads": 5831, "source": "Hugging Face", "score": -0.020578352354621066, "first_commit": "2021-12-05 11:31:57", "latest_commit": "2021-12-05 21:12:12", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "ElectraModel" }, { "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": -0.022324124735182586, "first_commit": "2023-03-09 10:13:05", "latest_commit": "2023-09-15 03:48:28", "languages": [], "model_or_dataset": "model", "model_size": 0.33, "model_architectures": "DebertaV2ForMaskedLM" }, { "description": "Yet Another Japanese Dependency Structure Analyzer", "url": "https://github.com/taku910/cabocha", "project_name": "cabocha", "stargazers_count": 108, "source": "GitHub", "score": -0.022884330212431112, "first_commit": "2011-07-29 04:08:14", "latest_commit": "2020-07-24 11:31:47", "languages": [ "C++", "Java", "Perl", "Python", "Ruby", "C" ], "model_or_dataset": null }, { "description": "Japanese text8 corpus for word embedding.", "url": "https://github.com/Hironsan/ja.text8", "project_name": "ja.text8", "stargazers_count": 108, "source": "GitHub", "score": -0.022884330212431112, "first_commit": "2017-10-04 13:15:25", "latest_commit": "2017-10-04 13:38:23", "languages": [ "Python" ], "model_or_dataset": "dataset" }, { "description": "bert-finetuned-japanese-sentiment This model is a fine-tuned version of cl-tohoku/bert-base-japanese-v2 on product amazon reviews japanese dataset.", "url": "https://huggingface.co./christian-phu/bert-finetuned-japanese-sentiment", "project_name": "bert-finetuned-japanese-sentiment", "downloads": 5576, "source": "Hugging Face", "score": -0.02441604163947613, "first_commit": "2023-04-06 16:43:51", "latest_commit": "2023-04-07 17:27:53", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "BertForSequenceClassification" }, { "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": -0.02739589449595183, "first_commit": "2024-06-25 07:29:22", "latest_commit": "2024-06-26 02:56:52", "languages": [], "model_or_dataset": "model", "model_size": 8.03, "model_architectures": null }, { "description": "JaQuAD: Japanese Question Answering Dataset for Machine Reading Comprehension 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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": -0.06571258829689691, "first_commit": "2024-06-28 16:17:32", "latest_commit": "2024-07-19 08:08:59", "languages": [], "model_or_dataset": "model", "model_size": 70.6, "model_architectures": "LlamaForCausalLM" }, { "description": "japanese-gpt2-xsmall", "url": "https://huggingface.co./rinna/japanese-gpt2-xsmall", "project_name": "japanese-gpt2-xsmall", "downloads": 2821, "source": "Hugging Face", "score": -0.06587813567781223, "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, "model_architectures": "GPT2LMHeadModel" }, { "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": -0.06616408115393868, "first_commit": "2023-04-28 07:39:44", "latest_commit": "2024-07-20 08:55:38", "languages": [], "model_or_dataset": "model", "model_size": 0.09440000000000001, "model_architectures": "HubertModel" }, { "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 }, { "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": -0.06735301234414867, "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, "model_architectures": "LukeForSequenceClassification" }, { "description": "50k English-Japanese Parallel Corpus for Machine Translation Benchmark.", "url": "https://github.com/odashi/small_parallel_enja", "project_name": "small_parallel_enja", "stargazers_count": 92, "source": "GitHub", "score": -0.0696529781759878, "first_commit": "2016-10-27 12:27:03", "latest_commit": "2019-09-11 14:00:17", "languages": [], "model_or_dataset": "dataset" }, { "description": "Llama-3-ELYZA-JP-8B-AWQ Model Description Llama-3-ELYZA-JP-8B is a large language model trained by ELYZA, Inc.", "url": "https://huggingface.co./elyza/Llama-3-ELYZA-JP-8B-AWQ", "project_name": "Llama-3-ELYZA-JP-8B-AWQ", "downloads": 2556, "source": "Hugging Face", "score": -0.06986632258168121, "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, "model_architectures": "LlamaForCausalLM" }, { "description": "bert-base-japanese-upos Model Description", "url": "https://huggingface.co./KoichiYasuoka/bert-base-japanese-upos", "project_name": "bert-base-japanese-upos", "downloads": 2490, "source": "Hugging Face", "score": -0.07085960686717312, "first_commit": "2021-08-26 23:02:50", "latest_commit": "2022-09-18 19:43:26", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "BertForTokenClassification" }, { "description": "Gemma-Mling: Multilingual Gemma Update @ 2024.04.15: First release of Gemma-Mling 7B model Original Gemma Model Page:", "url": "https://huggingface.co./beomi/gemma-mling-7b", "project_name": "gemma-mling-7b", "downloads": 2488, "source": "Hugging Face", "score": -0.0708897063909759, "first_commit": "2024-04-15 05:37:05", "latest_commit": "2024-04-18 14:28:20", "languages": [], "model_or_dataset": "model", "model_size": 8.54, "model_architectures": "GemmaForCausalLM" }, { "description": "Llama-3.1-8B-EZO-1.1-it-gguf HODACHIさんが公開しているLlama-3.1-8B-EZO-1.1-itのggufフォーマット変換版です。 ", "url": "https://huggingface.co./mmnga/Llama-3.1-8B-EZO-1.1-it-gguf", "project_name": "Llama-3.1-8B-EZO-1.1-it-gguf", "downloads": 2481, "source": "Hugging Face", "score": -0.07099505472428565, "first_commit": "2024-07-31 11:06:36", "latest_commit": "2024-07-31 12:47:45", "languages": [], "model_or_dataset": "model", "model_size": 8.03, "model_architectures": 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": 2443, "source": "Hugging Face", "score": -0.07156694567653855, "first_commit": "2024-07-18 08:00:29", "latest_commit": "2024-08-02 08:13:06", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": null }, { "description": "HODACHI-EZO-Common-9B-gemma-2-it-gguf HODACHIさんが公開しているEZO-Common-9B-gemma-2-itのggufフォーマット変換版です。 ", "url": "https://huggingface.co./mmnga/HODACHI-EZO-Common-9B-gemma-2-it-gguf", "project_name": "HODACHI-EZO-Common-9B-gemma-2-it-gguf", "downloads": 2441, "source": "Hugging Face", "score": -0.07159704520034134, "first_commit": "2024-07-15 15:42:39", "latest_commit": "2024-07-15 16:20:33", "languages": [], "model_or_dataset": "model", "model_size": 9.24, "model_architectures": null }, { "description": "Japanese-StableLM-Base-Beta-7B A cute robot wearing a kimono writes calligraphy with one single brush — Stable Diffusion XL Model Description japanese-stablelm-base-beta-7b is a 7B-parameter decoder-only language model based on Llama-2-7b that has been fine-tuned on a diverse collection of Japanese data, with the intent of maximizing downstream performance on Japanese language tasks.", "url": "https://huggingface.co./stabilityai/japanese-stablelm-base-beta-7b", "project_name": "japanese-stablelm-base-beta-7b", "downloads": 2428, "source": "Hugging Face", "score": -0.07179269210505944, "first_commit": "2023-10-30 07:43:36", "latest_commit": "2023-12-19 06:43:01", "languages": [], "model_or_dataset": "model", "model_size": 6.74, "model_architectures": "LlamaForCausalLM" }, { "description": "BERTによる日本語固有表現抽出のモデル BertForTokenClassificationを用いて、日本語の文から固有表現を抽出します。 ", "url": "https://huggingface.co./jurabi/bert-ner-japanese", "project_name": "bert-ner-japanese", "downloads": 2402, "source": "Hugging Face", "score": -0.07218398591449564, "first_commit": "2022-09-26 07:46:38", "latest_commit": "2022-09-26 12:13:44", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "BertForTokenClassification" }, { "description": "natto-py combines the Python programming language with MeCab, the part-of-speech and morphological analyzer for the Japanese language.", "url": "https://github.com/buruzaemon/natto-py", "project_name": "natto-py", "stargazers_count": 91, "source": "GitHub", "score": -0.07257601867371008, "first_commit": "2014-10-24 20:56:40", "latest_commit": "2023-11-04 21:25:21", "languages": [ "Python", "JavaScript", "Jupyter Notebook" ], "model_or_dataset": null }, { "description": "A* CCG Parser with a Supertag and Dependency Factored Model", "url": "https://github.com/masashi-y/depccg", "project_name": "depccg", "stargazers_count": 91, "source": "GitHub", "score": -0.07257601867371008, "first_commit": "2016-10-06 14:39:12", "latest_commit": "2023-08-26 16:03:23", "languages": [ "Python", "C" ], "model_or_dataset": null }, { "description": "Dictionary based Sentiment Analysis for Japanese", "url": "https://github.com/ikegami-yukino/oseti", "project_name": "oseti", "stargazers_count": 91, "source": "GitHub", "score": -0.07257601867371008, "first_commit": "2019-02-12 02:03:26", "latest_commit": "2024-01-12 07:14:53", "languages": [ "Python" ], "model_or_dataset": null }, { "description": "Model Card for Japanese character-level DeBERTa V2 tiny Model description This is a Japanese DeBERTa V2 tiny model pre-trained on Japanese Wikipedia, the Japanese portion of CC-100, and the Japanese portion of OSCAR.", "url": "https://huggingface.co./ku-nlp/deberta-v2-tiny-japanese-char-wwm", "project_name": "deberta-v2-tiny-japanese-char-wwm", "downloads": 2339, "source": "Hugging Face", "score": -0.07313212091428337, "first_commit": "2023-01-05 08:48:29", "latest_commit": "2023-03-23 07:31:19", "languages": [], "model_or_dataset": "model", "model_size": 0.0101, "model_architectures": "DebertaV2ForMaskedLM" }, { "description": "FINGU-AI/FinguAI-Chat-v1 Overview The FINGU-AI/FinguAI-Chat-v1 model offers a specialized curriculum tailored to English, Korean, and Japanese speakers interested in finance, investment, and legal frameworks.", "url": "https://huggingface.co./FINGU-AI/FinguAI-Chat-v1", "project_name": "FinguAI-Chat-v1", "downloads": 2334, "source": "Hugging Face", "score": -0.07320736972379033, "first_commit": "2024-03-21 07:08:05", "latest_commit": "2024-03-22 09:36:44", "languages": [], "model_or_dataset": "model", "model_size": 0.464, "model_architectures": "Qwen2ForCausalLM" }, { "description": "stockmark/stockmark-13b Stockmark-13b is a 13 billion parameter LLM pretrained from scratch based on Japanese corpus of about 220B tokens.", "url": "https://huggingface.co./stockmark/stockmark-13b", "project_name": "stockmark-13b", "downloads": 2272, "source": "Hugging Face", "score": -0.07414045496167665, "first_commit": "2023-10-21 06:53:06", "latest_commit": "2024-05-17 06:15:56", "languages": [], "model_or_dataset": "model", "model_size": 13.2, "model_architectures": "LlamaForCausalLM" }, { "description": "japanese-gpt-neox-3.6b-instruction-ppo Overview This repository provides a Japanese GPT-NeoX model of 3.6 billion parameters.", "url": "https://huggingface.co./rinna/japanese-gpt-neox-3.6b-instruction-ppo", "project_name": "japanese-gpt-neox-3.6b-instruction-ppo", "downloads": 2247, "source": "Hugging Face", "score": -0.07451669900921147, "first_commit": "2023-05-30 01:50:48", "latest_commit": "2024-07-20 07:58:49", "languages": [], "model_or_dataset": "model", "model_size": 3.76, "model_architectures": "GPTNeoXForCausalLM" }, { "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": -0.07487789329484489, "first_commit": "2023-07-03 08:29:37", "latest_commit": "2023-07-03 18:42:31", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": null }, { "description": "gpt-neox-japanese-2.7b", "url": "https://huggingface.co./abeja/gpt-neox-japanese-2.7b", "project_name": "gpt-neox-japanese-2.7b", "downloads": 2196, "source": "Hugging Face", "score": -0.07528423686618248, "first_commit": "2022-08-29 02:15:44", "latest_commit": "2023-04-10 05:12:30", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "GPTNeoXJapaneseForCausalLM" }, { "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": -0.07531433638998526, "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, "model_architectures": "WhisperForConditionalGeneration" }, { "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": -0.07540463496139362, "first_commit": "2023-06-01 14:29:06", "latest_commit": "2023-07-24 06:49:13", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "BertForSequenceClassification" }, { "description": "Pytorch implementation and pre-trained Japanese model for CANINE, the efficient character-level transformer.", "url": "https://github.com/octanove/shiba", "project_name": "shiba", "stargazers_count": 90, "source": "GitHub", "score": -0.07549905917143238, "first_commit": "2021-06-24 20:17:27", "latest_commit": "2023-11-03 10:01:53", "languages": [ "Python" ], "model_or_dataset": "model" }, { "description": "おーぷん2ちゃんねるをクロールして作成した対話コーパス", "url": "https://github.com/1never/open2ch-dialogue-corpus", "project_name": "open2ch-dialogue-corpus", "stargazers_count": 90, "source": "GitHub", "score": -0.07549905917143238, "first_commit": "2019-09-13 11:21:53", "latest_commit": "2021-06-07 00:06:23", "languages": [ "Python" ], "model_or_dataset": "dataset" }, { "description": "ELYZA-japanese-Llama-2-7b-instruct-gguf ELYZAさんが公開しているELYZA-japanese-Llama-2-7b-instructのggufフォーマット変換版です。 ", "url": "https://huggingface.co./mmnga/ELYZA-japanese-Llama-2-7b-instruct-gguf", "project_name": "ELYZA-japanese-Llama-2-7b-instruct-gguf", "downloads": 2153, "source": "Hugging Face", "score": -0.07593137662794235, "first_commit": "2023-08-29 05:33:45", "latest_commit": "2023-11-16 14:27:23", "languages": [], "model_or_dataset": "model", "model_size": 6.74, "model_architectures": null }, { "description": "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": -0.07636781972308274, "first_commit": "2023-01-10 11:53:15", "latest_commit": "2023-01-10 12:36:12", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "LukeModel" }, { "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": -0.07674406377061754, "first_commit": "2024-05-20 01:56:12", "latest_commit": "2024-05-20 01:56:57", "languages": [], "model_or_dataset": "model", "model_size": 0.0606, "model_architectures": "MarianMTModel" }, { "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": -0.0768193125801245, "first_commit": "2023-06-11 15:27:32", "latest_commit": "2023-07-29 11:27:18", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "BertForSequenceClassification" }, { "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": -0.07698485996103982, "first_commit": "2020-04-28 21:34:13", "latest_commit": "2024-02-22 00:58:18", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "BertForMaskedLM" }, { "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": -0.07743635281808159, "first_commit": "2023-11-08 16:56:34", "latest_commit": "2023-11-08 17:02:17", "languages": [], "model_or_dataset": "model", "model_size": 13.2, "model_architectures": "LlamaForCausalLM" }, { "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": -0.07815874138934843, "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, "model_architectures": "LlamaForCausalLM" }, { "description": "japanese-large-lm-3.6b", "url": "https://huggingface.co./line-corporation/japanese-large-lm-3.6b", "project_name": "japanese-large-lm-3.6b", "downloads": 1993, "source": "Hugging Face", "score": -0.07833933853216514, "first_commit": "2023-07-21 00:48:05", "latest_commit": "2023-08-17 01:06:17", "languages": [], "model_or_dataset": "model", "model_size": 3.68, "model_architectures": "GPTNeoXForCausalLM" }, { "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": -0.07885103043681248, "first_commit": "2022-01-20 02:30:19", "latest_commit": "2024-07-20 07:52:31", "languages": [], "model_or_dataset": "model", "model_size": 1.33, "model_architectures": "GPT2LMHeadModel" }, { "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": -0.07895637877012222, "first_commit": "2024-04-24 13:50:51", "latest_commit": "2024-04-24 14:24:09", "languages": [], "model_or_dataset": "model", "model_size": 3.82, "model_architectures": null }, { "description": "Swallow Our Swallow model has undergone continual pre-training from the Llama 2 family, primarily with the addition of Japanese language data.", "url": "https://huggingface.co./tokyotech-llm/Swallow-13b-instruct-v0.1", "project_name": "Swallow-13b-instruct-v0.1", "downloads": 1944, "source": "Hugging Face", "score": -0.07907677686533336, "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, "model_architectures": "LlamaForCausalLM" }, { "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": -0.0797991654366002, "first_commit": null, "latest_commit": null, "languages": [], "model_or_dataset": "model", "model_size": 1.64, "model_architectures": null }, { "description": "Swallow Our Swallow model has undergone continual pre-training from the Llama 2 family, primarily with the addition of Japanese language data.", "url": "https://huggingface.co./tokyotech-llm/Swallow-70b-instruct-hf", "project_name": "Swallow-70b-instruct-hf", "downloads": 1872, "source": "Hugging Face", "score": -0.08016035972223362, "first_commit": "2023-12-11 07:23:47", "latest_commit": "2024-06-29 08:56:31", "languages": [], "model_or_dataset": "model", "model_size": 69.2, "model_architectures": "LlamaForCausalLM" }, { "description": "Swallow Our Swallow model has undergone continual pre-training from the Llama 2 family, primarily with the addition of Japanese language data.", "url": "https://huggingface.co./tokyotech-llm/Swallow-13b-hf", "project_name": "Swallow-13b-hf", "downloads": 1860, "source": "Hugging Face", "score": -0.08034095686505033, "first_commit": "2023-11-16 15:40:49", "latest_commit": "2024-06-29 08:56:21", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "LlamaForCausalLM" }, { "description": "Llama-3-Swallow-8B-Instruct-v0.1-gguf tokyotech-llmさんが公開しているLlama-3-Swallow-8B-Instruct-v0.1のggufフォーマット変換版です。 ", "url": "https://huggingface.co./mmnga/Llama-3-Swallow-8B-Instruct-v0.1-gguf", "project_name": "Llama-3-Swallow-8B-Instruct-v0.1-gguf", "downloads": 1847, "source": "Hugging Face", "score": -0.08053660376976843, "first_commit": "2024-07-01 16:42:54", "latest_commit": "2024-07-02 10:43:55", "languages": [], "model_or_dataset": "model", "model_size": 8.03, "model_architectures": 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": 1829, "source": "Hugging Face", "score": -0.08080749948399349, "first_commit": "2024-06-26 16:36:04", "latest_commit": "2024-06-26 17:55:35", "languages": [], "model_or_dataset": "model", "model_size": 8.03, "model_architectures": null }, { "description": "ELYZA-tasks-100: 日本語instructionモデル評価データセット Data Description 本データセットはinstruction-tuningを行ったモデルの評価用データセットです。", "url": "https://huggingface.co./datasets/elyza/ELYZA-tasks-100", "project_name": "ELYZA-tasks-100", "downloads": 1801, "source": "Hugging Face", "score": -0.08122889281723249, "first_commit": "2023-08-28 09:01:44", "latest_commit": "2023-12-27 18:17:36", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "A Python Module for JUMAN++/KNP", "url": "https://github.com/ku-nlp/pyknp", "project_name": "pyknp", "stargazers_count": 88, "source": "GitHub", "score": -0.08134514016687697, "first_commit": "2015-04-08 15:25:47", "latest_commit": "2024-07-06 15:16:48", "languages": [ "Python" ], "model_or_dataset": null }, { "description": "STAIR captions: large-scale Japanese image caption dataset", "url": "https://github.com/STAIR-Lab-CIT/STAIR-captions", "project_name": "STAIR-captions", "stargazers_count": 88, "source": "GitHub", "score": -0.08134514016687697, "first_commit": "2017-02-21 16:49:14", "latest_commit": "2018-07-04 18:24:35", "languages": [], "model_or_dataset": "dataset" }, { "description": "NMeCab: About Japanese morphological analyzer on .NET", "url": "https://github.com/komutan/NMeCab", "project_name": "NMeCab", "stargazers_count": 88, "source": "GitHub", "score": -0.08134514016687697, "first_commit": "2014-04-24 17:34:29", "latest_commit": "2024-03-31 03:51:55", "languages": [ "C#" ], "model_or_dataset": "dataset" }, { "description": "ELYZA-japanese-CodeLlama-7b-instruct-gguf ELYZAさんが公開しているELYZA-japanese-CodeLlama-7b-instructのggufフォーマット変換版です。 ", "url": "https://huggingface.co./mmnga/ELYZA-japanese-CodeLlama-7b-instruct-gguf", "project_name": "ELYZA-japanese-CodeLlama-7b-instruct-gguf", "downloads": 1792, "source": "Hugging Face", "score": -0.08136434067434502, "first_commit": "2023-11-15 09:48:32", "latest_commit": "2023-11-16 14:28:24", "languages": [], "model_or_dataset": "model", "model_size": 6.74, "model_architectures": null }, { "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": -0.0814094899600492, "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, "model_architectures": "MistralForCausalLM" }, { "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": -0.08162018662666869, "first_commit": "2024-04-14 10:22:21", "latest_commit": "2024-04-14 14:00:30", "languages": [], "model_or_dataset": "model", "model_size": 0.0945, "model_architectures": "Wav2Vec2ForCTC" }, { "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": -0.08205662972180906, "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, "model_architectures": 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": 1731, "source": "Hugging Face", "score": -0.08228237615032995, "first_commit": "2024-04-24 01:36:22", "latest_commit": "2024-05-10 03:07:04", "languages": [], "model_or_dataset": "model", "model_size": 0.197, "model_architectures": "CLYPModel" }, { "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": -0.08240277424554109, "first_commit": "2024-04-17 07:12:28", "latest_commit": "2024-04-17 10:29:56", "languages": [], "model_or_dataset": "model", "model_size": 6.83, "model_architectures": "LlamaForCausalLM" }, { "description": "Japanese-StableLM-Base-Alpha-7B \"A parrot able to speak Japanese, ukiyoe, edo period\" — Stable Diffusion XL Model Description japanese-stablelm-base-alpha-7b is a 7B-parameter decoder-only language model pre-trained on a diverse collection of Japanese and English datasets which focus on maximizing Japanese language modeling performance and Japanese downstream task performance.", "url": "https://huggingface.co./stabilityai/japanese-stablelm-base-alpha-7b", "project_name": "japanese-stablelm-base-alpha-7b", "downloads": 1711, "source": "Hugging Face", "score": -0.08258337138835779, "first_commit": "2023-08-09 14:30:09", "latest_commit": "2023-08-22 09:36:29", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "JapaneseStableLMAlphaForCausalLM" }, { "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": -0.08262852067406197, "first_commit": "2023-12-07 02:08:59", "latest_commit": "2024-07-06 15:18:11", "languages": [], "model_or_dataset": "model", "model_size": 6.74, "model_architectures": "LlamaForCausalLM" }, { "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": -0.08294456567399122, "first_commit": "2021-07-05 02:44:40", "latest_commit": "2023-02-17 13:07:47", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "Wav2Vec2ForCTC" }, { "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": -0.08300476472159679, "first_commit": "2024-04-17 07:32:11", "latest_commit": "2024-04-18 05:21:10", "languages": [], "model_or_dataset": "model", "model_size": 13.1, "model_architectures": "LlamaForCausalLM" }, { "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": -0.08306496376920236, "first_commit": "2024-03-31 06:42:39", "latest_commit": "2024-03-31 08:16:43", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": 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": -0.08309506329300514, "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, "model_architectures": null }, { "description": "このモデルはluke-japanese-baseをファインチューニングして、固有表現抽出（NER）に用いれるようにしたものです。 ", "url": "https://huggingface.co./Mizuiro-sakura/luke-japanese-base-finetuned-ner", "project_name": "luke-japanese-base-finetuned-ner", "downloads": 1660, "source": "Hugging Face", "score": -0.08335090924532881, "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, "model_architectures": "LukeForTokenClassification" }, { "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": -0.08347130734053995, "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, "model_architectures": "DebertaV2ForMaskedLM" }, { "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": -0.08366695424525805, "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, "model_architectures": null }, { "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": -0.08383250162617337, "first_commit": "2024-04-09 06:01:43", "latest_commit": "2024-04-14 13:20:43", "languages": [], "model_or_dataset": "model", "model_size": 0.0945, "model_architectures": "HubertForCTC" }, { "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": -0.08389270067377894, "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_architectures": null }, { "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": -0.08390775043568033, "first_commit": "2023-05-15 06:50:24", "latest_commit": "2023-05-18 01:11:13", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "GPTNeoXForCausalLM" }, { "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": -0.0839528997213845, "first_commit": "2021-12-20 05:12:06", "latest_commit": "2022-10-21 14:46:36", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "RobertaForMaskedLM" }, { "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": -0.0839679494832859, "first_commit": "2024-07-15 15:43:00", "latest_commit": "2024-07-15 17:01:09", "languages": [], "model_or_dataset": "model", "model_size": 9.24, "model_architectures": null }, { "description": "🎈 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": -0.08398299924518729, "first_commit": "2023-07-06 10:11:45", "latest_commit": "2023-07-29 04:21:29", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": null }, { "description": "alpacaデータセットを日本語化したものです", "url": "https://github.com/shi3z/alpaca_ja", "project_name": "alpaca_ja", "stargazers_count": 87, "source": "GitHub", "score": -0.08426818066459926, "first_commit": "2023-04-01 07:03:33", "latest_commit": "2023-05-17 15:43:50", "languages": [], "model_or_dataset": "dataset" }, { "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": -0.08500638305448198, "first_commit": null, "latest_commit": null, "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "bilingual-gpt-neox-4b Overview This repository provides an English-Japanese bilingual GPT-NeoX model of 3.8 billion parameters.", "url": "https://huggingface.co./rinna/bilingual-gpt-neox-4b", "project_name": "bilingual-gpt-neox-4b", "downloads": 1524, "source": "Hugging Face", "score": -0.08539767686391818, "first_commit": "2023-07-31 02:34:03", "latest_commit": "2024-07-20 08:02:07", "languages": [], "model_or_dataset": "model", "model_size": 3.95, "model_architectures": "GPTNeoXForCausalLM" }, { "description": "OpenCALM-1B Model Description OpenCALM is a suite of decoder-only language models pre-trained on Japanese datasets, developed by", "url": "https://huggingface.co./cyberagent/open-calm-1b", "project_name": "open-calm-1b", "downloads": 1514, "source": "Hugging Face", "score": -0.0855481744829321, "first_commit": "2023-05-15 07:00:18", "latest_commit": "2023-05-18 01:11:30", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "GPTNeoXForCausalLM" }, { "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": -0.08565352281624185, "first_commit": "2023-12-25 16:38:08", "latest_commit": "2023-12-27 01:40:43", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "LlamaForCausalLM" }, { "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": -0.08596956781617109, "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_architectures": null }, { "description": "Swallow Our Swallow model has undergone continual pre-training from the Llama 2 family, primarily with the addition of Japanese language data.", "url": "https://huggingface.co./tokyotech-llm/Swallow-7b-plus-hf", "project_name": "Swallow-7b-plus-hf", "downloads": 1474, "source": "Hugging Face", "score": -0.0861501649589878, "first_commit": "2024-02-29 11:28:52", "latest_commit": "2024-06-29 08:56:19", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "LlamaForCausalLM" }, { "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": -0.08622541376849475, "first_commit": "2021-11-03 05:51:58", "latest_commit": "2022-09-18 19:45:09", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "RobertaForTokenClassification" }, { "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": -0.08649630948271983, "first_commit": "2023-12-25 18:14:10", "latest_commit": "2023-12-27 01:41:51", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "LlamaForCausalLM" }, { "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": -0.086541458768424, "first_commit": "2023-08-28 13:17:58", "latest_commit": "2023-08-29 03:46:37", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "LlamaForCausalLM" }, { "description": "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": -0.08664680710173375, "first_commit": "2022-11-07 14:26:40", "latest_commit": "2022-11-09 11:19:36", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "LukeForMaskedLM" }, { "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": -0.08667690662553654, "first_commit": "2021-06-15 06:32:27", "latest_commit": "2024-07-20 07:49:31", "languages": [], "model_or_dataset": "model", "model_size": 0.123, "model_architectures": "GPT2LMHeadModel" }, { "description": "GUIで動作する文書校正ツール GUI tool for textlinting.", "url": "https://github.com/gecko655/proofreading-tool", "project_name": "proofreading-tool", "stargazers_count": 86, "source": "GitHub", "score": -0.08719122116232154, "first_commit": "2021-04-08 12:10:36", "latest_commit": "2024-06-22 20:18:09", "languages": [ "JavaScript" ], "model_or_dataset": null }, { "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": 1402, "source": "Hugging Face", "score": -0.08723374781588805, "first_commit": "2024-07-31 12:12:13", "latest_commit": "2024-07-31 21:47:25", "languages": [], "model_or_dataset": "model", "model_size": 70.6, "model_architectures": null }, { "description": "Swallow Our Swallow model has undergone continual pre-training from the Llama 2 family, primarily with the addition of Japanese language data.", "url": "https://huggingface.co./tokyotech-llm/Swallow-70b-hf", "project_name": "Swallow-70b-hf", "downloads": 1401, "source": "Hugging Face", "score": -0.08724879757778944, "first_commit": "2023-11-25 02:13:04", "latest_commit": "2024-06-29 08:56:23", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "LlamaForCausalLM" }, { "description": "Japanese-StableLM-Instruct-Beta-70B A cute robot wearing a kimono writes calligraphy with one single brush — Stable Diffusion XL Model Description japanese-stablelm-instruct-beta-70b is a 70B-parameter decoder-only language model based on japanese-stablelm-base-beta-70b and further fine tuned on Databricks Dolly-15k, Anthropic HH, and other public data.", "url": "https://huggingface.co./stabilityai/japanese-stablelm-instruct-beta-70b", "project_name": "japanese-stablelm-instruct-beta-70b", "downloads": 1391, "source": "Hugging Face", "score": -0.08739929519680337, "first_commit": "2023-10-30 07:47:31", "latest_commit": "2023-12-19 06:45:10", "languages": [], "model_or_dataset": "model", "model_size": 69.0, "model_architectures": "LlamaForCausalLM" }, { "description": "hubert-large-asr", "url": "https://huggingface.co./TKU410410103/hubert-large-japanese-asr", "project_name": "hubert-large-japanese-asr", "downloads": 1386, "source": "Hugging Face", "score": -0.08747454400631033, "first_commit": "2024-04-09 03:01:08", "latest_commit": "2024-04-14 13:21:01", "languages": [], "model_or_dataset": "model", "model_size": 0.316, "model_architectures": "HubertForCTC" }, { "description": "uniTKU-hubert-japanese-asr", "url": "https://huggingface.co./TKU410410103/uniTKU-hubert-japanese-asr", "project_name": "uniTKU-hubert-japanese-asr", "downloads": 1365, "source": "Hugging Face", "score": -0.08779058900623957, "first_commit": "2024-04-20 14:59:52", "latest_commit": "2024-04-22 18:37:33", "languages": [], "model_or_dataset": "model", "model_size": 0.0945, "model_architectures": "HubertForCTC" }, { "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": 1358, "source": "Hugging Face", "score": -0.08789593733954931, "first_commit": "2023-10-30 07:46:28", "latest_commit": "2023-12-19 06:44:53", "languages": [], "model_or_dataset": "model", "model_size": 69.0, "model_architectures": "LlamaForCausalLM" }, { "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": 1357, "source": "Hugging Face", "score": -0.0879109871014507, "first_commit": "2024-07-27 09:04:09", "latest_commit": "2024-07-31 14:35:52", "languages": [], "model_or_dataset": "model", "model_size": 70.6, "model_architectures": null }, { "description": "OpenCALM-3B Model Description OpenCALM is a suite of decoder-only language models pre-trained on Japanese datasets, developed by", "url": "https://huggingface.co./cyberagent/open-calm-3b", "project_name": "open-calm-3b", "downloads": 1315, "source": "Hugging Face", "score": -0.0885430771013092, "first_commit": "2023-05-15 07:14:36", "latest_commit": "2023-05-18 01:11:50", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "GPTNeoXForCausalLM" }, { "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": -0.08867852495842173, "first_commit": "2023-08-06 07:37:38", "latest_commit": "2023-09-07 03:44:19", "languages": [], "model_or_dataset": "model", "model_size": 1.44, "model_architectures": "GPTNeoXForCausalLM" }, { "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": -0.08917516710116767, "first_commit": "2024-05-01 17:49:42", "latest_commit": "2024-05-01 18:37:01", "languages": [], "model_or_dataset": "model", "model_size": 7.24, "model_architectures": 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": 1266, "source": "Hugging Face", "score": -0.08928051543447742, "first_commit": "2024-05-03 14:03:23", "latest_commit": "2024-05-04 13:26:52", "languages": [], "model_or_dataset": "model", "model_size": 7.24, "model_architectures": null }, { "description": "Swallow Our Swallow model has undergone continual pre-training from the Llama 2 family, primarily with the addition of Japanese language data.", "url": "https://huggingface.co./tokyotech-llm/Swallow-70b-instruct-v0.1", "project_name": "Swallow-70b-instruct-v0.1", "downloads": 1242, "source": "Hugging Face", "score": -0.08964170972011083, "first_commit": "2024-03-06 14:39:34", "latest_commit": "2024-06-29 09:00:17", "languages": [], "model_or_dataset": "model", "model_size": 69.2, "model_architectures": "LlamaForCausalLM" }, { "description": "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": -0.0897320082915192, "first_commit": "2024-01-29 12:52:31", "latest_commit": "2024-02-07 19:49:25", "languages": [], "model_or_dataset": "model", "model_size": 12.9, "model_architectures": "GPT2LMHeadModel" }, { "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": "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": -0.09016845138665958, "first_commit": "2023-12-27 09:46:04", "latest_commit": "2023-12-27 11:39:18", "languages": [], "model_or_dataset": "model", "model_size": 13.1, "model_architectures": null }, { "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": -0.09105638733884172, "first_commit": "2023-07-29 06:38:26", "latest_commit": "2023-10-06 00:56:38", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "hotchpotch/japanese-reranker-cross-encoder-large-v1 日本語で学習させた Reranker (CrossEncoder) シリーズです。 ", "url": "https://huggingface.co./hotchpotch/japanese-reranker-cross-encoder-large-v1", "project_name": "japanese-reranker-cross-encoder-large-v1", "downloads": 1136, "source": "Hugging Face", "score": -0.09123698448165843, "first_commit": "2024-03-28 20:53:30", "latest_commit": "2024-04-01 02:39:45", "languages": [], "model_or_dataset": "model", "model_size": 0.337, "model_architectures": "BertForSequenceClassification" }, { "description": "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": -0.09176372614820717, "first_commit": "2023-12-25 17:14:45", "latest_commit": "2023-12-27 01:41:31", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "LlamaForCausalLM" }, { "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": -0.09188412424341831, "first_commit": "2023-12-19 06:58:44", "latest_commit": "2024-07-20 08:35:21", "languages": [], "model_or_dataset": "model", "model_size": 7.72, "model_architectures": "QWenLMHeadModel" }, { "description": "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": -0.09192927352912249, "first_commit": "2023-04-25 04:37:20", "latest_commit": "2023-05-10 09:55:39", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "T5ForConditionalGeneration" }, { "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": -0.09200452233862945, "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, "model_architectures": "GPTNeoXForCausalLM" }, { "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": -0.09232056733855869, "first_commit": "2024-06-12 19:35:20", "latest_commit": "2024-06-12 19:40:39", "languages": [], "model_or_dataset": "model", "model_size": 7.46, "model_architectures": "LlavaForConditionalGeneration" }, { "description": "Orion-14B 🌐English | 🇨", "url": "https://huggingface.co./OrionStarAI/Orion-14B-Chat", "project_name": "Orion-14B-Chat", "downloads": 1051, "source": "Hugging Face", "score": -0.09251621424327679, "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, "model_architectures": "OrionForCausalLM" }, { "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": -0.09302790614792412, "first_commit": "2023-05-28 08:19:43", "latest_commit": "2023-07-25 15:04:39", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "BertWithCrfForTokenClassification" }, { "description": "このツールは、複数のデータセットを横断して日本語の大規模言語モデルを自動評価するものです．", "url": "https://github.com/llm-jp/llm-jp-eval", "project_name": "llm-jp-eval", "stargazers_count": 84, "source": "GitHub", "score": -0.09303730215776614, "first_commit": "2023-10-19 19:36:10", "latest_commit": "2024-07-18 21:31:53", "languages": [ "Python" ], "model_or_dataset": null }, { "description": "bilingual-gpt-neox-4b-instruction-ppo Overview This repository provides an English-Japanese bilingual GPT-NeoX model of 3.8 billion parameters.", "url": "https://huggingface.co./rinna/bilingual-gpt-neox-4b-instruction-ppo", "project_name": "bilingual-gpt-neox-4b-instruction-ppo", "downloads": 976, "source": "Hugging Face", "score": -0.09364494638588122, "first_commit": "2023-08-02 05:56:07", "latest_commit": "2024-07-20 08:05:14", "languages": [], "model_or_dataset": "model", "model_size": 3.95, "model_architectures": "GPTNeoXForCausalLM" }, { "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": -0.09364494638588122, "first_commit": "2023-01-06 14:30:00", "latest_commit": "2023-02-10 18:01:34", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "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": -0.09390079233820489, "first_commit": "2023-10-06 08:40:24", "latest_commit": "2023-10-06 08:40:24", "languages": [], "model_or_dataset": "model", "model_size": 7.01, "model_architectures": "JapaneseStableLMAlphaForCausalLM" }, { "description": "HODACHI-EZO-Common-T2-2B-gemma-2-it-gguf HODACHIさんが公開しているEZO-Common-T2-2B-gemma-2-itのggufフォーマット変換版です。 ", "url": "https://huggingface.co./mmnga/HODACHI-EZO-Common-T2-2B-gemma-2-it-gguf", "project_name": "HODACHI-EZO-Common-T2-2B-gemma-2-it-gguf", "downloads": 956, "source": "Hugging Face", "score": -0.09394594162390907, "first_commit": "2024-08-01 17:32:31", "latest_commit": "2024-08-01 18:38:31", "languages": [], "model_or_dataset": "model", "model_size": 2.61, "model_architectures": null }, { "description": "stockmark/stockmark-100b Stockmark-100b is a 100 billion parameter LLM pretrained from scratch based on Japanese and English corpus of about 910 billion tokens.", "url": "https://huggingface.co./stockmark/stockmark-100b", "project_name": "stockmark-100b", "downloads": 934, "source": "Hugging Face", "score": -0.0942770363857397, "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, "model_architectures": "LlamaForCausalLM" }, { "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": -0.09448773305235919, "first_commit": "2023-12-20 06:06:12", "latest_commit": "2024-01-22 07:41:59", "languages": [], "model_or_dataset": "model", "model_size": 0.198, "model_architectures": "JapaneseCLIPModel" }, { "description": "BERT Base Japanese for Irony", "url": "https://huggingface.co./kit-nlp/bert-base-japanese-sentiment-irony", "project_name": "bert-base-japanese-sentiment-irony", "downloads": 919, "source": "Hugging Face", "score": -0.09450278281426058, "first_commit": "2022-11-07 06:29:21", "latest_commit": "2022-11-08 04:23:27", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "BertForSequenceClassification" }, { "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": -0.09462318090947172, "first_commit": "2023-05-09 07:00:51", "latest_commit": "2023-05-12 11:03:20", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "MBartForConditionalGeneration" }, { "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": -0.09471347948088008, "first_commit": "2023-07-21 00:46:33", "latest_commit": "2023-08-17 01:06:37", "languages": [], "model_or_dataset": "model", "model_size": 1.75, "model_architectures": "GPT2LMHeadModel" }, { "description": "PLaMo-13B-Instruct Model Description PLaMo-13B-Instruct is an instruct fine-tuned model built upon the 8192 context length version of PLaMo-13B text generation model.", "url": "https://huggingface.co./pfnet/plamo-13b-instruct", "project_name": "plamo-13b-instruct", "downloads": 899, "source": "Hugging Face", "score": -0.09480377805228843, "first_commit": "2023-10-26 02:11:24", "latest_commit": "2024-01-25 07:46:09", "languages": [], "model_or_dataset": "model", "model_size": 13.1, "model_architectures": "PlamoForCausalLM" }, { "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": -0.09480377805228843, "first_commit": "2023-08-14 17:18:09", "latest_commit": "2023-08-24 10:08:28", "languages": [], "model_or_dataset": "model", "model_size": 3.68, "model_architectures": "GPTNeoXForCausalLM" }, { "description": "OpenCALM-Medium Model Description OpenCALM is a suite of decoder-only language models pre-trained on Japanese datasets, developed by", "url": "https://huggingface.co./cyberagent/open-calm-medium", "project_name": "open-calm-medium", "downloads": 890, "source": "Hugging Face", "score": -0.09493922590940097, "first_commit": "2023-05-15 06:44:47", "latest_commit": "2023-05-18 01:10:54", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "GPTNeoXForCausalLM" }, { "description": "stockmark-gpt-neox-japanese-1.4b-gguf stockmarkさんが公開しているgpt-neox-japanese-1.4bのggufフォーマット変換版です。 ", "url": "https://huggingface.co./mmnga/stockmark-gpt-neox-japanese-1.4b-gguf", "project_name": "stockmark-gpt-neox-japanese-1.4b-gguf", "downloads": 887, "source": "Hugging Face", "score": -0.09498437519510515, "first_commit": "2023-08-22 12:45:18", "latest_commit": "2023-09-08 22:00:37", "languages": [], "model_or_dataset": "model", "model_size": 1.41, "model_architectures": null }, { "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": -0.09501447471890793, "first_commit": "2024-03-29 07:07:38", "latest_commit": "2024-04-01 02:39:31", "languages": [], "model_or_dataset": "model", "model_size": 0.111, "model_architectures": "BertForSequenceClassification" }, { "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": -0.09502952448080933, "first_commit": "2024-05-11 07:26:43", "latest_commit": "2024-05-11 09:56:19", "languages": [], "model_or_dataset": "model", "model_size": 1.64, "model_architectures": 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": 875, "source": "Hugging Face", "score": -0.09516497233792186, "first_commit": "2022-12-22 17:20:33", "latest_commit": "2023-03-21 23:57:37", "languages": [], "model_or_dataset": "model", "model_size": 0.109, "model_architectures": "BertForMaskedLM" }, { "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": -0.09519507186172464, "first_commit": "2024-03-06 01:07:56", "latest_commit": "2024-07-22 08:11:46", "languages": [], "model_or_dataset": "model", "model_size": 0.095, "model_architectures": "Wav2Vec2ForPreTraining" }, { "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": -0.09542081829024553, "first_commit": "2024-07-22 13:28:13", "latest_commit": "2024-07-22 17:25:48", "languages": [], "model_or_dataset": "model", "model_size": 12.2, "model_architectures": null }, { "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": -0.09545091781404831, "first_commit": "2023-08-29 07:23:20", "latest_commit": "2023-11-16 14:27:36", "languages": [], "model_or_dataset": "model", "model_size": 6.85, "model_architectures": null }, { "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": -0.09575191305207616, "first_commit": "2023-10-16 07:50:31", "latest_commit": "2024-04-26 03:20:42", "languages": [], "model_or_dataset": "model", "model_size": 2.8, "model_architectures": "StableLMEpochForCausalLM" }, { "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": -0.09584221162348451, "first_commit": "2024-02-02 04:15:22", "latest_commit": "2024-02-05 11:49:57", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "HubertModel" }, { "description": "llm-lora-classification", "url": "https://github.com/hppRC/llm-lora-classification", "project_name": "llm-lora-classification", "stargazers_count": 83, "source": "GitHub", "score": -0.09596034265548843, "first_commit": "2023-07-17 12:42:57", "latest_commit": "2023-07-22 19:46:45", "languages": [ "Python" ], "model_or_dataset": null }, { "description": "Word2vec (word to vectors) approach for Japanese language using Gensim and Mecab.", "url": "https://github.com/philipperemy/japanese-words-to-vectors", "project_name": "japanese-words-to-vectors", "stargazers_count": 83, "source": "GitHub", "score": -0.09596034265548843, "first_commit": "2016-09-04 09:43:00", "latest_commit": "2020-08-09 19:48:23", "languages": [ "Python" ], "model_or_dataset": "model" }, { "description": "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": -0.09600775900439983, "first_commit": "2024-08-21 01:13:32", "latest_commit": "2024-08-21 13:26:35", "languages": [], "model_or_dataset": "model", "model_size": 22.5, "model_architectures": null }, { "description": "shisa-base-7b-v1 shisa-base-7b-v1 takes Mistral 7B and adds an additional 8B tokens of primarily Japanese pre-training.", "url": "https://huggingface.co./augmxnt/shisa-base-7b-v1", "project_name": "shisa-base-7b-v1", "downloads": 771, "source": "Hugging Face", "score": -0.09673014757566667, "first_commit": "2023-11-19 09:44:36", "latest_commit": "2023-12-09 10:34:29", "languages": [], "model_or_dataset": "model", "model_size": 7.96, "model_architectures": "MistralForCausalLM" }, { "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": -0.09679034662327224, "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, "model_architectures": "MistralForCausalLM" }, { "description": "albert-base-japanese-v1 日本語事前学習済みALBERTモデルです How to use ファインチューニング このモデルはPreTrainedモデルです基本的には各種タスク用にファインチューニングして使用されることを想定しています Fill-Mask このモデルではTokenizerにSentencepieceを利用していますそのままでは[MASK]トークンのあとに余計なトークンが混入する問題があるので、利用する際には以下のようにする必要があります for PyTorch from transformers import ( AlbertForMaskedLM, AlbertTokenizerFast ) import torch tokenizer = AlbertTokenizerFast.from_pretrained(\"ken11/albert-base-japanese-v1\")", "url": "https://huggingface.co./ken11/albert-base-japanese-v1", "project_name": "albert-base-japanese-v1", "downloads": 767, "source": "Hugging Face", "score": -0.09679034662327224, "first_commit": "2021-12-19 17:07:14", "latest_commit": "2021-12-22 03:04:30", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "AlbertForMaskedLM" }, { "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": -0.09683549590897642, "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_architectures": "GPTNeoXForCausalLM" }, { "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": -0.09692579448038477, "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, "model_architectures": null }, { "description": "This is the filtered Japanese subset of XL-Sum followed by PaLM 2 filters 15-gram overlap * code: https://gist.github.com/mkshing/d6371cbfdd50d4f352cee247fd4dd86a number of examples train: 4215 (before: 7113) validation: 758 (before: 889) test: 766 (before: 889)", "url": "https://huggingface.co./datasets/mkshing/xlsum_ja", "project_name": "xlsum_ja", "downloads": 754, "source": "Hugging Face", "score": -0.09698599352799034, "first_commit": null, "latest_commit": null, "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "Orion-14B 🌐English | 🇨", "url": "https://huggingface.co./OrionStarAI/Orion-14B-Base", "project_name": "Orion-14B-Base", "downloads": 749, "source": "Hugging Face", "score": -0.0970612423374973, "first_commit": "2024-01-16 06:07:42", "latest_commit": "2024-03-26 09:21:52", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "OrionForCausalLM" }, { "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": -0.09727193900411679, "first_commit": "2023-08-30 09:18:50", "latest_commit": "2023-11-14 00:10:58", "languages": [], "model_or_dataset": "model", "model_size": 1.24, "model_architectures": "LlamaForCausalLM" }, { "description": "aixsatoshi-Llama-3-8b-Cosmopedia-japanese-gguf aixsatoshiさんが公開しているLlama-3-8b-Cosmopedia-japaneseのggufフォーマット変換版です。 ", "url": "https://huggingface.co./mmnga/aixsatoshi-Llama-3-8b-Cosmopedia-japanese-gguf", "project_name": "aixsatoshi-Llama-3-8b-Cosmopedia-japanese-gguf", "downloads": 730, "source": "Hugging Face", "score": -0.09734718781362375, "first_commit": "2024-05-01 12:36:43", "latest_commit": "2024-05-19 08:27:21", "languages": [], "model_or_dataset": "model", "model_size": 8.03, "model_architectures": null }, { "description": "weblab-10b-instruction-sft-GPTQ Original model weblab-10b-instruction-sft which is a Japanese-centric multilingual GPT-NeoX model of 10 billion parameters created by matsuo-lab Takeshi Kojima.", "url": "https://huggingface.co./dahara1/weblab-10b-instruction-sft-GPTQ", "project_name": "weblab-10b-instruction-sft-GPTQ", "downloads": 724, "source": "Hugging Face", "score": -0.09743748638503211, "first_commit": "2023-08-21 05:45:35", "latest_commit": "2023-11-14 00:24:22", "languages": [], "model_or_dataset": "model", "model_size": 1.86, "model_architectures": "GPTNeoXForCausalLM" }, { "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": -0.09743748638503211, "first_commit": "2023-06-21 13:04:38", "latest_commit": "2023-10-09 06:44:28", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "In this study, we introduce a new dataset, WRIME, for emotional intensity estimation.", "url": "https://huggingface.co./datasets/shunk031/wrime", "project_name": "wrime", "downloads": 717, "source": "Hugging Face", "score": -0.09754283471834185, "first_commit": null, "latest_commit": null, "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "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": -0.09757293424214464, "first_commit": "2024-08-21 09:58:41", "latest_commit": "2024-08-21 11:08:38", "languages": [], "model_or_dataset": "model", "model_size": 3.82, "model_architectures": null }, { "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": -0.0976481830516516, "first_commit": "2024-05-13 15:39:30", "latest_commit": "2024-05-17 17:20:17", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": null }, { "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": -0.09790402900397527, "first_commit": "2023-10-30 07:47:09", "latest_commit": "2023-12-19 06:43:49", "languages": [], "model_or_dataset": "model", "model_size": 6.74, "model_architectures": "LlamaForCausalLM" }, { "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": -0.09817492471820033, "first_commit": "2024-01-13 03:05:44", "latest_commit": "2024-03-04 19:25:12", "languages": [], "model_or_dataset": "model", "model_size": 24.2, "model_architectures": "MixtralForCausalLM" }, { "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": -0.0982351237658059, "first_commit": "2023-10-21 08:20:14", "latest_commit": "2024-01-10 21:52:35", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "HODACHI様の Llama-3.1-8B-EZO-1.1-it をGGUF形式に変換したものです。 ", "url": "https://huggingface.co./MCZK/Llama-3.1-8B-EZO-1.1-it-GGUF", "project_name": "Llama-3.1-8B-EZO-1.1-it-GGUF", "downloads": 664, "source": "Hugging Face", "score": -0.09834047209911566, "first_commit": "2024-07-31 12:12:01", "latest_commit": "2024-07-31 18:13:59", "languages": [], "model_or_dataset": "model", "model_size": 8.03, "model_architectures": null }, { "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": -0.09840067114672123, "first_commit": "2023-05-30 01:50:25", "latest_commit": "2024-07-20 07:57:35", "languages": [], "model_or_dataset": "model", "model_size": 3.76, "model_architectures": "GPTNeoXForCausalLM" }, { "description": "このモデルは何？ ", "url": "https://huggingface.co./Lasorco/lametta", "project_name": "lametta", "downloads": 658, "source": "Hugging Face", "score": -0.09843077067052401, "first_commit": "2023-03-28 14:29:55", "latest_commit": "2023-11-08 07:37:12", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": null }, { "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": -0.0984608701943268, "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, "model_architectures": 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", "project_name": "fish-speech-1.2", "downloads": 645, "source": "Hugging Face", "score": -0.09862641757524211, "first_commit": "2024-07-02 04:24:09", "latest_commit": "2024-07-02 04:31:26", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": null }, { "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": -0.09862641757524211, "first_commit": "2024-03-28 20:45:16", "latest_commit": "2024-04-01 02:40:22", "languages": [], "model_or_dataset": "model", "model_size": 0.5680000000000001, "model_architectures": "XLMRobertaForSequenceClassification" }, { "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": -0.09882206447996021, "first_commit": "2023-12-19 08:09:53", "latest_commit": "2024-07-22 07:58:40", "languages": [], "model_or_dataset": "model", "model_size": 14.2, "model_architectures": "QWenLMHeadModel" }, { "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": -0.0988371142418616, "first_commit": "2023-08-29 06:32:01", "latest_commit": "2023-11-16 14:27:12", "languages": [], "model_or_dataset": "model", "model_size": 6.74, "model_architectures": 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": 628, "source": "Hugging Face", "score": -0.09888226352756578, "first_commit": "2023-10-16 06:04:58", "latest_commit": "2024-04-26 03:20:34", "languages": [], "model_or_dataset": "model", "model_size": 2.8, "model_architectures": "StableLMEpochForCausalLM" }, { "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": -0.09888226352756578, "first_commit": "2023-12-13 03:56:30", "latest_commit": "2024-07-06 15:18:24", "languages": [], "model_or_dataset": "model", "model_size": 69.0, "model_architectures": "LlamaForCausalLM" }, { "description": "External dictionary importer for Yomichan.", "url": "https://github.com/FooSoft/yomichan-import", "project_name": "yomichan-import", "stargazers_count": 82, "source": "GitHub", "score": -0.09888338315321071, "first_commit": "2016-07-26 20:24:33", "latest_commit": "2023-02-25 12:43:03", "languages": [ "Go" ], "model_or_dataset": null }, { "description": "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": "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-NVE-hf", "project_name": "Swallow-70b-NVE-hf", "downloads": 626, "source": "Hugging Face", "score": -0.09891236305136857, "first_commit": "2023-12-07 07:34:35", "latest_commit": "2024-06-29 08:56:25", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "LlamaForCausalLM" }, { "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": -0.09891236305136857, "first_commit": "2024-01-26 10:49:53", "latest_commit": "2024-05-07 09:00:06", "languages": [], "model_or_dataset": "model", "model_size": 69.2, "model_architectures": "LlamaForCausalLM" }, { "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": -0.09901771138467831, "first_commit": "2022-08-29 05:17:36", "latest_commit": "2022-08-29 16:10:11", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "GPT2LMHeadModel" }, { "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": -0.09910800995608667, "first_commit": "2024-04-27 09:55:39", "latest_commit": "2024-04-27 10:52:17", "languages": [], "model_or_dataset": "model", "model_size": 7.24, "model_architectures": null }, { "description": "PLaMo-13B-Instruct-NC Model Description PLaMo-13B-Instruct-NC is a noncommercial instruct fine-tuned model built upon the 8192 context length version of PLaMo-13B text generation model.", "url": "https://huggingface.co./pfnet/plamo-13b-instruct-nc", "project_name": "plamo-13b-instruct-nc", "downloads": 612, "source": "Hugging Face", "score": -0.09912305971798806, "first_commit": "2023-10-26 05:36:26", "latest_commit": "2024-01-25 07:46:45", "languages": [], "model_or_dataset": "model", "model_size": 13.1, "model_architectures": "PlamoForCausalLM" }, { "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": -0.09913810947988945, "first_commit": "2024-08-21 10:33:58", "latest_commit": "2024-08-21 11:42:56", "languages": [], "model_or_dataset": "model", "model_size": 3.82, "model_architectures": 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": 609, "source": "Hugging Face", "score": -0.09916820900369223, "first_commit": "2022-04-27 08:29:29", "latest_commit": "2024-07-22 08:09:24", "languages": [], "model_or_dataset": "model", "model_size": 0.197, "model_architectures": "CLOOBModel" }, { "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": -0.09918325876559363, "first_commit": "2024-05-03 14:03:22", "latest_commit": "2024-05-04 13:26:22", "languages": [], "model_or_dataset": "model", "model_size": 7.24, "model_architectures": null }, { "description": "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": -0.0992284080512978, "first_commit": "2023-12-27 10:40:52", "latest_commit": "2023-12-27 13:18:46", "languages": [], "model_or_dataset": "model", "model_size": 13.1, "model_architectures": null }, { "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": -0.09930365686080476, "first_commit": "2024-05-09 13:21:27", "latest_commit": "2024-05-11 07:24:16", "languages": [], "model_or_dataset": "model", "model_size": 7.24, "model_architectures": null }, { "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": -0.09930365686080476, "first_commit": "2023-10-30 07:49:15", "latest_commit": "2023-12-19 06:45:58", "languages": [], "model_or_dataset": "model", "model_size": 6.88, "model_architectures": "LlamaForCausalLM" }, { "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": -0.09940900519411451, "first_commit": "2024-05-06 16:31:55", "latest_commit": "2024-05-07 12:59:57", "languages": [], "model_or_dataset": "model", "model_size": 8.03, "model_architectures": null }, { "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": -0.0994391047179173, "first_commit": "2024-04-14 12:42:01", "latest_commit": "2024-04-20 01:23:10", "languages": [], "model_or_dataset": "model", "model_size": 7.24, "model_architectures": null }, { "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": -0.09945415447981869, "first_commit": "2024-07-07 07:27:12", "latest_commit": "2024-07-07 09:30:16", "languages": [], "model_or_dataset": "model", "model_size": 8.03, "model_architectures": null }, { "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": -0.09960465209883261, "first_commit": "2022-08-31 05:58:25", "latest_commit": "2024-07-20 07:53:40", "languages": [], "model_or_dataset": "model", "model_size": 0.20400000000000001, "model_architectures": "GPTNeoXForCausalLM" }, { "description": "lightblue-suzume-llama-3-8B-japanese-gguf lightblueさんが公開しているsuzume-llama-3-8B-japaneseのggufフォーマット変換版です。 ", "url": "https://huggingface.co./mmnga/lightblue-suzume-llama-3-8B-japanese-gguf", "project_name": "lightblue-suzume-llama-3-8B-japanese-gguf", "downloads": 567, "source": "Hugging Face", "score": -0.09980029900355071, "first_commit": "2024-04-23 13:30:08", "latest_commit": "2024-05-07 12:58:06", "languages": [], "model_or_dataset": "model", "model_size": 8.03, "model_architectures": 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": 567, "source": "Hugging Face", "score": -0.09980029900355071, "first_commit": "2024-05-26 16:32:27", "latest_commit": "2024-05-27 00:47:56", "languages": [], "model_or_dataset": "model", "model_size": 35.0, "model_architectures": null }, { "description": "bert-base-japanese-v3-unsup-simcse-jawiki 「大規模言語モデル入門」の第8章で紹介している教師なしSimCSEのモデルです。 ", "url": "https://huggingface.co./llm-book/bert-base-japanese-v3-unsup-simcse-jawiki", "project_name": "bert-base-japanese-v3-unsup-simcse-jawiki", "downloads": 566, "source": "Hugging Face", "score": -0.0998153487654521, "first_commit": "2023-06-21 10:52:27", "latest_commit": "2023-07-24 07:07:44", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "BertModel" }, { "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": -0.0998153487654521, "first_commit": "2024-05-12 07:18:00", "latest_commit": "2024-05-12 08:08:38", "languages": [], "model_or_dataset": "model", "model_size": 8.03, "model_architectures": null }, { "description": "KARAKURI LM KARAKURI LM is a pretrained language model that builds upon Llama 2.", "url": "https://huggingface.co./karakuri-ai/karakuri-lm-70b-chat-v0.1", "project_name": "karakuri-lm-70b-chat-v0.1", "downloads": 565, "source": "Hugging Face", "score": -0.0998303985273535, "first_commit": "2024-01-26 09:08:09", "latest_commit": "2024-05-07 09:00:17", "languages": [], "model_or_dataset": "model", "model_size": 69.2, "model_architectures": "LlamaForCausalLM" }, { "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": -0.09986049805115628, "first_commit": "2024-07-10 11:12:59", "latest_commit": "2024-07-21 11:26:08", "languages": [], "model_or_dataset": "model", "model_size": 9.24, "model_architectures": null }, { "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": -0.09998089614636742, "first_commit": "2022-12-22 17:17:03", "latest_commit": "2023-03-08 01:44:36", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "BertForMaskedLM" }, { "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": -0.09999594590826881, "first_commit": "2023-08-14 17:19:11", "latest_commit": "2023-08-14 17:19:11", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "GPT2LMHeadModel" }, { "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": -0.1000561449558744, "first_commit": "2023-11-02 15:45:24", "latest_commit": "2023-11-02 18:22:05", "languages": [], "model_or_dataset": "model", "model_size": 69.0, "model_architectures": null }, { "description": "Sarashina1-65B", "url": "https://huggingface.co./sbintuitions/sarashina1-65b", "project_name": "sarashina1-65b", "downloads": 549, "source": "Hugging Face", "score": -0.10007119471777579, "first_commit": "2024-06-07 11:57:56", "latest_commit": "2024-06-27 06:56:36", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "GPTNeoXForCausalLM" }, { "description": "old？ ", "url": "https://huggingface.co./Lasorco/lametta_old", "project_name": "lametta_old", "downloads": 542, "source": "Hugging Face", "score": -0.10017654305108553, "first_commit": "2023-05-21 11:16:50", "latest_commit": "2024-07-23 07:24:33", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": null }, { "description": "rinna/japanese-hubert-large Overview This is a Japanese HuBERT Large model trained by rinna Co.", "url": "https://huggingface.co./rinna/japanese-hubert-large", "project_name": "japanese-hubert-large", "downloads": 538, "source": "Hugging Face", "score": -0.1002367420986911, "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, "model_architectures": "HubertModel" }, { "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": -0.10032704067009945, "first_commit": "2023-06-12 14:15:16", "latest_commit": "2023-07-24 06:49:14", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "BertForSequenceClassification" }, { "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": -0.10034209043200085, "first_commit": "2024-03-23 05:57:58", "latest_commit": "2024-04-01 02:34:34", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "[Llama-3.1-70B-EZO-1.1-it] Model Card モデル情報 / Model Information このモデルは、Meta AI の Llama 3.1 をベースに、日本語タスクでの性能を向上させるためにファインチューニングを行ったものです。", "url": "https://huggingface.co./AXCXEPT/Llama-3.1-70B-EZO-1.1-it", "project_name": "Llama-3.1-70B-EZO-1.1-it", "downloads": 529, "source": "Hugging Face", "score": -0.10037218995580363, "first_commit": "2024-07-29 01:35:35", "latest_commit": "2024-08-23 10:52:31", "languages": [], "model_or_dataset": "model", "model_size": 70.6, "model_architectures": "LlamaForCausalLM" }, { "description": "Swallow Our Swallow model has undergone continual pre-training from the Llama 2 family, primarily with the addition of Japanese language data.", "url": "https://huggingface.co./tokyotech-llm/Swallow-7b-NVE-hf", "project_name": "Swallow-7b-NVE-hf", "downloads": 526, "source": "Hugging Face", "score": -0.10041733924150781, "first_commit": "2023-11-30 09:02:26", "latest_commit": "2024-06-29 08:56:18", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "LlamaForCausalLM" }, { "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": -0.10047753828911338, "first_commit": "2024-07-03 03:56:49", "latest_commit": "2024-07-31 05:47:48", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": 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": 517, "source": "Hugging Face", "score": -0.10055278709862034, "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, "model_architectures": null }, { "description": "Sarashina1-13B", "url": "https://huggingface.co./sbintuitions/sarashina1-13b", "project_name": "sarashina1-13b", "downloads": 512, "source": "Hugging Face", "score": -0.1006280359081273, "first_commit": "2024-06-07 11:56:53", "latest_commit": "2024-06-27 06:56:06", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "GPTNeoXForCausalLM" }, { "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": -0.10077853352714122, "first_commit": "2024-05-22 15:27:33", "latest_commit": "2024-05-22 16:56:55", "languages": [], "model_or_dataset": "model", "model_size": 14.0, "model_architectures": null }, { "description": "Sarashina1-7B This repository provides Japanese language models trained by SB Intuitions.", "url": "https://huggingface.co./sbintuitions/sarashina1-7b", "project_name": "sarashina1-7b", "downloads": 498, "source": "Hugging Face", "score": -0.10083873257474679, "first_commit": "2024-06-07 10:13:21", "latest_commit": "2024-06-27 06:55:38", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "GPTNeoXForCausalLM" }, { "description": "tokyotech-llm-Swallow-13b-instruct-v0.1-gguf tokyotech-llmさんが公開しているSwallow-13b-instruct-v0.1のggufフォーマット変換版です。 ", "url": "https://huggingface.co./mmnga/tokyotech-llm-Swallow-13b-instruct-v0.1-gguf", "project_name": "tokyotech-llm-Swallow-13b-instruct-v0.1-gguf", "downloads": 490, "source": "Hugging Face", "score": -0.10095913066995793, "first_commit": "2024-05-02 14:18:27", "latest_commit": "2024-05-03 04:36:24", "languages": [], "model_or_dataset": "model", "model_size": 13.1, "model_architectures": null }, { "description": "This repository is publicly accessible, but you have to accept the conditions to access its files and content.", "url": "https://huggingface.co./stabilityai/japanese-stablelm-instruct-alpha-7b", "project_name": "japanese-stablelm-instruct-alpha-7b", "downloads": 489, "source": "Hugging Face", "score": -0.10097418043185932, "first_commit": null, "latest_commit": null, "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": null }, { "description": "tokyotech-llm様の Llama-3-Swallow-8B-Instruct-v0.1 をGGUF形式に変換したものです。 ", "url": "https://huggingface.co./MCZK/Llama-3-Swallow-8B-Instruct-v0.1-GGUF", "project_name": "Llama-3-Swallow-8B-Instruct-v0.1-GGUF", "downloads": 485, "source": "Hugging Face", "score": -0.10103437947946489, "first_commit": "2024-07-01 11:45:22", "latest_commit": "2024-07-01 17:54:05", "languages": [], "model_or_dataset": "model", "model_size": 8.03, "model_architectures": null }, { "description": "HODACHI様の EZO-Common-T2-2B-gemma-2-it をGGUF形式に変換したものです。 ", "url": "https://huggingface.co./MCZK/EZO-Common-T2-2B-gemma-2-it-GGUF", "project_name": "EZO-Common-T2-2B-gemma-2-it-GGUF", "downloads": 484, "source": "Hugging Face", "score": -0.10104942924136628, "first_commit": "2024-08-01 11:38:48", "latest_commit": "2024-08-01 13:42:20", "languages": [], "model_or_dataset": "model", "model_size": 2.61, "model_architectures": null }, { "description": "hotchpotch/japanese-reranker-cross-encoder-small-v1 日本語で学習させた Reranker (CrossEncoder) シリーズです。 ", "url": "https://huggingface.co./hotchpotch/japanese-reranker-cross-encoder-small-v1", "project_name": "japanese-reranker-cross-encoder-small-v1", "downloads": 484, "source": "Hugging Face", "score": -0.10104942924136628, "first_commit": "2024-03-28 04:31:45", "latest_commit": "2024-04-01 02:39:19", "languages": [], "model_or_dataset": "model", "model_size": 0.11800000000000001, "model_architectures": "XLMRobertaForSequenceClassification" }, { "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": -0.10110962828897185, "first_commit": "2023-11-03 01:04:31", "latest_commit": "2023-11-03 12:54:55", "languages": [], "model_or_dataset": "model", "model_size": 6.74, "model_architectures": null }, { "description": "pfnet-Llama3-Preferred-MedSwallow-70B-gguf pfnetさんが公開しているLlama3-Preferred-MedSwallow-70Bのggufフォーマット変換版です。 ", "url": "https://huggingface.co./mmnga/pfnet-Llama3-Preferred-MedSwallow-70B-gguf", "project_name": "pfnet-Llama3-Preferred-MedSwallow-70B-gguf", "downloads": 476, "source": "Hugging Face", "score": -0.10116982733657742, "first_commit": "2024-07-18 15:45:16", "latest_commit": "2024-07-19 09:14:38", "languages": [], "model_or_dataset": "model", "model_size": 70.6, "model_architectures": null }, { "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": -0.10126012590798578, "first_commit": "2022-06-13 09:46:45", "latest_commit": "2022-10-21 14:49:40", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "RobertaForMaskedLM" }, { "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": -0.10133537471749274, "first_commit": "2024-08-01 17:22:58", "latest_commit": "2024-08-01 18:29:08", "languages": [], "model_or_dataset": "model", "model_size": 2.61, "model_architectures": null }, { "description": "QuantFactory/Llama3-ArrowSE-8B-v0.3-GGUF This is quantized version of DataPilot/Llama3-ArrowSE-8B-v0.3 created using llama.cpp Original Model Card 概要 elyza/Llama-3-ELYZA-JP-8Bを元にchat vectorを用いて改良しAItuberに特化させました。 ", "url": "https://huggingface.co./QuantFactory/Llama3-ArrowSE-8B-v0.3-GGUF", "project_name": "Llama3-ArrowSE-8B-v0.3-GGUF", "downloads": 460, "source": "Hugging Face", "score": -0.1014106235269997, "first_commit": "2024-07-28 15:51:47", "latest_commit": "2024-07-28 16:29:51", "languages": [], "model_or_dataset": "model", "model_size": 8.03, "model_architectures": null }, { "description": "luke-japanese luke-japanese is the Japanese version of LUKE (Language Understanding with Knowledge-based Embeddings), a pre-trained knowledge-enhanced contextualized representation of words and entities.", "url": "https://huggingface.co./studio-ousia/luke-japanese-base", "project_name": "luke-japanese-base", "downloads": 460, "source": "Hugging Face", "score": -0.1014106235269997, "first_commit": "2022-10-25 06:30:23", "latest_commit": "2022-11-09 15:23:20", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "LukeForMaskedLM" }, { "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": -0.10153102162221084, "first_commit": "2024-03-03 01:58:34", "latest_commit": "2024-08-10 02:56:05", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "tokyotech-llm-Swallow-70b-instruct-v0.1-gguf tokyotech-llmさんが公開しているSwallow-70b-instruct-v0.1のggufフォーマット変換版です。 ", "url": "https://huggingface.co./mmnga/tokyotech-llm-Swallow-70b-instruct-v0.1-gguf", "project_name": "tokyotech-llm-Swallow-70b-instruct-v0.1-gguf", "downloads": 451, "source": "Hugging Face", "score": -0.10154607138411223, "first_commit": "2024-05-03 09:00:00", "latest_commit": "2024-05-04 06:52:16", "languages": [], "model_or_dataset": "model", "model_size": 69.2, "model_architectures": null }, { "description": "Swallow Our Swallow model has undergone continual pre-training from the Llama 2 family, primarily with the addition of Japanese language data.", "url": "https://huggingface.co./tokyotech-llm/Swallow-13b-NVE-hf", "project_name": "Swallow-13b-NVE-hf", "downloads": 449, "source": "Hugging Face", "score": -0.10157617090791501, "first_commit": "2024-01-30 11:39:05", "latest_commit": "2024-06-29 08:56:22", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "LlamaForCausalLM" }, { "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": -0.10157617090791501, "first_commit": "2023-10-30 07:49:38", "latest_commit": "2023-12-19 06:46:01", "languages": [], "model_or_dataset": "model", "model_size": 6.88, "model_architectures": "LlamaForCausalLM" }, { "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": -0.10163636995552058, "first_commit": "2024-04-22 14:46:41", "latest_commit": "2024-04-23 16:13:37", "languages": [], "model_or_dataset": "model", "model_size": 104.0, "model_architectures": null }, { "description": "pfnet-nekomata-14b-pfn-qfin-inst-merge-gguf pfnetさんが公開しているnekomata-14b-pfn-qfin-inst-mergeのggufフォーマット変換版です。 ", "url": "https://huggingface.co./mmnga/pfnet-nekomata-14b-pfn-qfin-inst-merge-gguf", "project_name": "pfnet-nekomata-14b-pfn-qfin-inst-merge-gguf", "downloads": 442, "source": "Hugging Face", "score": -0.10168151924122476, "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, "model_architectures": 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", "languages": [], "model_or_dataset": "dataset" }, { "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": -0.10186211638404148, "first_commit": "2024-05-02 13:37:22", "latest_commit": "2024-05-03 04:35:34", "languages": [], "model_or_dataset": "model", "model_size": 7.33, "model_architectures": 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": 428, "source": "Hugging Face", "score": -0.10189221590784427, "first_commit": "2023-01-28 22:14:29", "latest_commit": "2023-03-03 21:11:39", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "WhisperForConditionalGeneration" }, { "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": -0.10190726566974566, "first_commit": "2024-02-04 21:19:53", "latest_commit": "2024-02-04 21:45:59", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "YuisekinAIEvol-Mistral-7B-ja-math-v0.1.1-gguf yuisekiさんが公開しているYuisekinAIEvol-Mistral-7B-ja-math-v0.1.1のggufフォーマット変換版です。 ", "url": "https://huggingface.co./mmnga/YuisekinAIEvol-Mistral-7B-ja-math-v0.1.1-gguf", "project_name": "YuisekinAIEvol-Mistral-7B-ja-math-v0.1.1-gguf", "downloads": 415, "source": "Hugging Face", "score": -0.10208786281256237, "first_commit": "2024-04-29 14:18:07", "latest_commit": "2024-04-29 15:52:08", "languages": [], "model_or_dataset": "model", "model_size": 7.24, "model_architectures": null }, { "description": "rinna/japanese-gpt-neox-3.6b-instruction-ppo rinnaさんが公開しているjapanese-gpt-neox-3.6b-instruction-ppoのgguf変換版です。 ", "url": "https://huggingface.co./mmnga/rinna-japanese-gpt-neox-3.6b-instruction-ppo-gguf", "project_name": "rinna-japanese-gpt-neox-3.6b-instruction-ppo-gguf", "downloads": 415, "source": "Hugging Face", "score": -0.10208786281256237, "first_commit": "2023-09-02 17:52:26", "latest_commit": "2023-09-08 02:39:00", "languages": [], "model_or_dataset": "model", "model_size": 3.61, "model_architectures": null }, { "description": "luke-japanese luke-japanese is the Japanese version of LUKE (Language Understanding with Knowledge-based Embeddings), a pre-trained knowledge-enhanced contextualized representation of words and entities.", "url": "https://huggingface.co./studio-ousia/luke-japanese-base-lite", "project_name": "luke-japanese-base-lite", "downloads": 413, "source": "Hugging Face", "score": -0.10211796233636515, "first_commit": "2022-10-25 09:27:16", "latest_commit": "2022-11-09 15:22:22", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "LukeForMaskedLM" }, { "description": "ichikara-instruction (Non Commercial) LLMのための日本語インストラクションデータ 公開ページ 公開ページより、 本データに関して、言語処理学会第３０回年次大会において発表を行います。", "url": "https://huggingface.co./datasets/p1atdev/ichikara-instruction", "project_name": "ichikara-instruction", "downloads": 413, "source": "Hugging Face", "score": -0.10211796233636515, "first_commit": "2024-03-12 07:09:56", "latest_commit": "2024-03-12 08:36:40", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "BERT small Japanese finance This is a BERT model pretrained on texts in the Japanese language.", "url": "https://huggingface.co./izumi-lab/bert-small-japanese", "project_name": "bert-small-japanese", "downloads": 409, "source": "Hugging Face", "score": -0.10217816138397072, "first_commit": "2021-10-04 13:09:36", "latest_commit": "2022-12-09 00:40:57", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "BertForMaskedLM" }, { "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": -0.10217816138397072, "first_commit": "2024-04-23 14:18:57", "latest_commit": "2024-04-23 15:24:47", "languages": [], "model_or_dataset": "model", "model_size": 8.03, "model_architectures": null }, { "description": "mt5_summarize_japanese (Japanese caption : 日本語の要約のモデル)", "url": "https://huggingface.co./tsmatz/mt5_summarize_japanese", "project_name": "mt5_summarize_japanese", "downloads": 407, "source": "Hugging Face", "score": -0.1022082609077735, "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, "model_architectures": "MT5ForConditionalGeneration" }, { "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": -0.10223836043157629, "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, "model_architectures": null }, { "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": -0.10225341019347768, "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, "model_architectures": null }, { "description": "This repository contains some GGUF quantizations of the VNTL Gemma 2 27B model.", "url": "https://huggingface.co./lmg-anon/vntl-gemma2-27b-gguf", "project_name": "vntl-gemma2-27b-gguf", "downloads": 401, "source": "Hugging Face", "score": -0.10229855947918186, "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, "model_architectures": null }, { "description": "This repository contains some GGUF quantizations of the merge of the VNTL LLaMA 3 8B qlora.", "url": "https://huggingface.co./lmg-anon/vntl-llama3-8b-gguf", "project_name": "vntl-llama3-8b-gguf", "downloads": 398, "source": "Hugging Face", "score": -0.10234370876488603, "first_commit": "2024-06-13 17:17:30", "latest_commit": "2024-06-15 17:33:02", "languages": [], "model_or_dataset": "model", "model_size": 8.03, "model_architectures": null }, { "description": "ryota39-Phi-3-mini-4k-instruct-dpo-gguf ryota39さんが公開しているPhi-3-mini-4k-instruct-dpoのggufフォーマット変換版です。 ", "url": "https://huggingface.co./mmnga/ryota39-Phi-3-mini-4k-instruct-dpo-gguf", "project_name": "ryota39-Phi-3-mini-4k-instruct-dpo-gguf", "downloads": 397, "source": "Hugging Face", "score": -0.10235875852678743, "first_commit": "2024-04-29 14:27:31", "latest_commit": "2024-04-29 16:53:45", "languages": [], "model_or_dataset": "model", "model_size": 3.82, "model_architectures": 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": 390, "source": "Hugging Face", "score": -0.10246410686009717, "first_commit": "2023-06-27 13:32:54", "latest_commit": "2023-07-25 13:10:36", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "T5ForConditionalGeneration" }, { "description": "tokyotech-llm-Swallow-7b-instruct-v0.1-gguf tokyotech-llmさんが公開しているSwallow-7b-instruct-v0.1のggufフォーマット変換版です。 ", "url": "https://huggingface.co./mmnga/tokyotech-llm-Swallow-7b-instruct-v0.1-gguf", "project_name": "tokyotech-llm-Swallow-7b-instruct-v0.1-gguf", "downloads": 384, "source": "Hugging Face", "score": -0.10255440543150553, "first_commit": "2024-05-03 04:09:27", "latest_commit": "2024-05-03 04:53:43", "languages": [], "model_or_dataset": "model", "model_size": 6.83, "model_architectures": 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": 379, "source": "Hugging Face", "score": -0.10262965424101249, "first_commit": "2023-09-03 22:35:34", "latest_commit": "2024-03-24 05:54:30", "languages": [], "model_or_dataset": "model", "model_size": 1.77, "model_architectures": null }, { "description": "Fugaku-LLM利用規約 この利用規約（以下「本規約」といいます）は、富士通株式会社、国立研究開発法人理化学研究所、国立大学法人東京工業大学、国立大学法人東北大学、株式会社サイバーエージェント、国立大学法人東海国立大学機構、及び株式会社Kotoba Technologies Japan (以下「開発者」といいます)による、スーパーコンピュータ「富岳」政策対応枠における大規模言語モデル分散並列学習手法の開発の成果物として公開する大規模言語モデル（以下「Fugaku-LLM」といいます）の利用に関する条件を定めるものです。", "url": "https://huggingface.co./Fugaku-LLM/Fugaku-LLM-13B-instruct", "project_name": "Fugaku-LLM-13B-instruct", "downloads": 379, "source": "Hugging Face", "score": -0.10262965424101249, "first_commit": null, "latest_commit": null, "languages": [], "model_or_dataset": "model", "model_size": 13.2, "model_architectures": null }, { "description": "日本語版CLIPモデル This is a CLIP text/image encoder model for Japanese. ", "url": "https://huggingface.co./sonoisa/clip-vit-b-32-japanese-v1", "project_name": "clip-vit-b-32-japanese-v1", "downloads": 378, "source": "Hugging Face", "score": -0.10264470400291388, "first_commit": "2022-02-15 15:47:34", "latest_commit": "2022-04-19 14:18:58", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "BertModel" }, { "description": "BERT large Japanese (character-level tokenization with whole word masking, CC-100 and jawiki-20230102)", "url": "https://huggingface.co./tohoku-nlp/bert-large-japanese-char-v2", "project_name": "bert-large-japanese-char-v2", "downloads": 377, "source": "Hugging Face", "score": -0.10265975376481527, "first_commit": "2023-05-19 00:48:06", "latest_commit": "2023-05-19 00:54:57", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "BertForPreTraining" }, { "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": -0.10267480352671667, "first_commit": "2022-06-20 21:58:53", "latest_commit": "2023-03-04 20:16:55", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "BertForQuestionAnswering" }, { "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": -0.10268985328861806, "first_commit": "2024-07-10 22:02:03", "latest_commit": "2024-07-21 18:11:21", "languages": [], "model_or_dataset": "model", "model_size": 9.24, "model_architectures": null }, { "description": "umiyuki-Umievo-itr012-Gleipnir-7B-gguf umiyukiさんが公開しているUmievo-itr012-Gleipnir-7Bのggufフォーマット変換版です。 ", "url": "https://huggingface.co./mmnga/umiyuki-Umievo-itr012-Gleipnir-7B-gguf", "project_name": "umiyuki-Umievo-itr012-Gleipnir-7B-gguf", "downloads": 370, "source": "Hugging Face", "score": -0.10276510209812502, "first_commit": "2024-05-29 15:05:32", "latest_commit": "2024-05-29 15:53:40", "languages": [], "model_or_dataset": "model", "model_size": 7.24, "model_architectures": 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": 369, "source": "Hugging Face", "score": -0.10278015186002641, "first_commit": "2023-01-18 13:55:30", "latest_commit": "2023-03-26 03:32:27", "languages": [], "model_or_dataset": "model", "model_size": 0.122, "model_architectures": "DebertaV2ForMaskedLM" }, { "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": -0.10284035090763198, "first_commit": "2024-04-24 12:58:10", "latest_commit": "2024-04-24 14:46:15", "languages": [], "model_or_dataset": "model", "model_size": 14.2, "model_architectures": null }, { "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": -0.10287045043143477, "first_commit": "2024-06-23 12:30:16", "latest_commit": "2024-06-23 17:06:53", "languages": [], "model_or_dataset": "model", "model_size": 7.33, "model_architectures": "MistralForCausalLM" }, { "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": -0.10296074900284312, "first_commit": "2024-05-11 07:22:37", "latest_commit": "2024-05-11 13:43:09", "languages": [], "model_or_dataset": "model", "model_size": 7.24, "model_architectures": null }, { "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": -0.1030058982885473, "first_commit": "2023-11-07 12:04:07", "latest_commit": "2023-11-17 05:01:00", "languages": [], "model_or_dataset": "model", "model_size": 6.74, "model_architectures": "LlamaForCausalLM" }, { "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": -0.10308114709805426, "first_commit": "2023-09-03 22:30:23", "latest_commit": "2024-03-24 05:54:56", "languages": [], "model_or_dataset": "model", "model_size": 1.77, "model_architectures": 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": 348, "source": "Hugging Face", "score": -0.10309619685995565, "first_commit": "2024-05-26 06:09:57", "latest_commit": "2024-05-26 15:22:01", "languages": [], "model_or_dataset": "model", "model_size": 7.24, "model_architectures": null }, { "description": "ku-nlp/roberta-base-japanese-char-wwm Model description This is a Japanese RoBERTa base model pre-trained on Japanese Wikipedia and the Japanese portion of CC-100.", "url": "https://huggingface.co./ku-nlp/roberta-base-japanese-char-wwm", "project_name": "roberta-base-japanese-char-wwm", "downloads": 345, "source": "Hugging Face", "score": -0.10314134614565983, "first_commit": "2022-09-20 05:07:34", "latest_commit": "2023-03-20 08:05:45", "languages": [], "model_or_dataset": "model", "model_size": 0.1, "model_architectures": "RobertaForMaskedLM" }, { "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": -0.10315639590756122, "first_commit": "2023-12-04 13:13:03", "latest_commit": "2023-12-18 10:21:11", "languages": [], "model_or_dataset": "model", "model_size": 1.73, "model_architectures": "LlavaGpt2ForCausalLM" }, { "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": -0.10317144566946261, "first_commit": "2023-01-09 11:59:13", "latest_commit": "2023-03-27 02:43:35", "languages": [], "model_or_dataset": "model", "model_size": 0.112, "model_architectures": "DebertaV2ForQuestionAnswering" }, { "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": -0.1032015451932654, "first_commit": "2022-04-21 04:25:18", "latest_commit": "2023-10-23 12:46:36", "languages": [], "model_or_dataset": "model", "model_size": 0.123, "model_architectures": "GPT2LMHeadModel" }, { "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": -0.1032015451932654, "first_commit": "2022-08-23 03:30:43", "latest_commit": "2024-07-31 07:44:00", "languages": [], "model_or_dataset": "model", "model_size": 0.11, "model_architectures": "BertForTokenClassification" }, { "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": -0.10323164471706818, "first_commit": "2024-05-14 05:38:05", "latest_commit": "2024-05-16 13:44:53", "languages": [], "model_or_dataset": "model", "model_size": 8.03, "model_architectures": null }, { "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": -0.10330689352657514, "first_commit": "2024-05-19 08:07:15", "latest_commit": "2024-05-19 09:24:59", "languages": [], "model_or_dataset": "model", "model_size": 13.1, "model_architectures": null }, { "description": "t5-base-japanese-web (with Byte-fallback, 32K) Description megagonlabs/t5-base-japanese-web is a T5 (Text-to-Text Transfer Transformer) model pre-trained on Japanese web texts.", "url": "https://huggingface.co./megagonlabs/t5-base-japanese-web", "project_name": "t5-base-japanese-web", "downloads": 334, "source": "Hugging Face", "score": -0.10330689352657514, "first_commit": "2021-08-24 04:41:45", "latest_commit": "2021-09-06 19:32:21", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "T5ForConditionalGeneration" }, { "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": -0.10336709257418071, "first_commit": "2023-04-26 08:30:59", "latest_commit": "2023-05-10 10:00:00", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "T5ForConditionalGeneration" }, { "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": -0.10342729162178628, "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, "model_architectures": null }, { "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": -0.10344234138368769, "first_commit": "2023-04-26 08:33:12", "latest_commit": "2023-05-10 10:00:35", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "T5ForConditionalGeneration" }, { "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": -0.10344234138368769, "first_commit": "2024-05-20 01:51:18", "latest_commit": "2024-05-20 01:53:38", "languages": [], "model_or_dataset": "model", "model_size": 0.0606, "model_architectures": "MarianMTModel" }, { "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": -0.10344234138368769, "first_commit": "2021-04-03 14:08:55", "latest_commit": "2022-03-11 02:50:33", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "T5ForConditionalGeneration" }, { "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": -0.10347244090749047, "first_commit": "2022-12-01 01:31:32", "latest_commit": "2022-12-12 16:36:58", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "Overview This dataset provides a convenient and user-friendly format of data from Aozora Bunko (青空文庫), a website that compiles public-domain books in Japan, ideal for Machine Learning applications.", "url": "https://huggingface.co./datasets/globis-university/aozorabunko-clean", "project_name": "aozorabunko-clean", "downloads": 323, "source": "Hugging Face", "score": -0.10347244090749047, "first_commit": "2023-06-26 13:31:28", "latest_commit": "2023-10-27 13:22:32", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "Dataset.", "url": "https://huggingface.co./datasets/hpprc/jsick", "project_name": "jsick", "downloads": 320, "source": "Hugging Face", "score": -0.10351759019319465, "first_commit": "2023-04-08 16:02:06", "latest_commit": "2023-04-11 15:18:09", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "Ninja-v1-128k-gguf Local-Novel-LLM-projectさんが公開しているNinja-v1-128kのggufフォーマット変換版です。 ", "url": "https://huggingface.co./mmnga/Ninja-v1-128k-gguf", "project_name": "Ninja-v1-128k-gguf", "downloads": 319, "source": "Hugging Face", "score": -0.10353263995509604, "first_commit": "2024-05-01 17:48:06", "latest_commit": "2024-05-04 13:25:20", "languages": [], "model_or_dataset": "model", "model_size": 7.24, "model_architectures": null }, { "description": "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": -0.10354768971699743, "first_commit": "2023-06-25 06:57:42", "latest_commit": "2023-07-04 10:47:46", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": 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./AXCXEPT/Llama-3-EZO-VLM-1", "project_name": "Llama-3-EZO-VLM-1", "downloads": 310, "source": "Hugging Face", "score": -0.10366808781220857, "first_commit": "2024-08-03 17:15:09", "latest_commit": "2024-08-23 10:55:53", "languages": [], "model_or_dataset": "model", "model_size": 8.48, "model_architectures": "LlavaForConditionalGeneration" }, { "description": "Githubリポジトリstockmarkteam/ner-wikipedia-datasetで公開されているデータセットを利用しています。", "url": "https://huggingface.co./datasets/llm-book/ner-wikipedia-dataset", "project_name": "ner-wikipedia-dataset", "downloads": 308, "source": "Hugging Face", "score": -0.10369818733601135, "first_commit": "2023-04-15 10:43:21", "latest_commit": "2023-12-12 11:25:51", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "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": -0.10372828685981414, "first_commit": "2024-05-29 15:06:55", "latest_commit": "2024-05-29 15:53:17", "languages": [], "model_or_dataset": "model", "model_size": 7.24, "model_architectures": null }, { "description": "What’s this?", "url": "https://huggingface.co./globis-university/deberta-v3-japanese-xsmall", "project_name": "deberta-v3-japanese-xsmall", "downloads": 295, "source": "Hugging Face", "score": -0.10389383424072945, "first_commit": "2023-09-21 16:12:53", "latest_commit": "2024-07-05 05:48:15", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "DebertaV2ForTokenClassification" }, { "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": -0.10395403328833502, "first_commit": "2024-05-07 09:57:49", "latest_commit": "2024-05-10 06:18:35", "languages": [], "model_or_dataset": "model", "model_size": 7.24, "model_architectures": null }, { "description": "Mistral-7B-Instruct-v0.3-gguf mistralaiさんが公開しているMistral-7B-Instruct-v0.3のggufフォーマット変換版です。 ", "url": "https://huggingface.co./mmnga/Mistral-7B-Instruct-v0.3-gguf", "project_name": "Mistral-7B-Instruct-v0.3-gguf", "downloads": 291, "source": "Hugging Face", "score": -0.10395403328833502, "first_commit": "2024-05-23 14:44:25", "latest_commit": "2024-05-23 15:58:46", "languages": [], "model_or_dataset": "model", "model_size": 7.25, "model_architectures": null }, { "description": "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": -0.10411958066925034, "first_commit": "2023-06-21 07:16:52", "latest_commit": "2023-12-12 11:19:43", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "Fugaku-LLM利用規約 この利用規約（以下「本規約」といいます）は、富士通株式会社、国立研究開発法人理化学研究所、国立大学法人東京工業大学、国立大学法人東北大学、株式会社サイバーエージェント、国立大学法人東海国立大学機構、及び株式会社Kotoba Technologies Japan (以下「開発者」といいます)による、スーパーコンピュータ「富岳」政策対応枠における大規模言語モデル分散並列学習手法の開発の成果物として公開する大規模言語モデル（以下「Fugaku-LLM」といいます）の利用に関する条件を定めるものです。", "url": "https://huggingface.co./Fugaku-LLM/Fugaku-LLM-13B", "project_name": "Fugaku-LLM-13B", "downloads": 273, "source": "Hugging Face", "score": -0.10422492900256008, "first_commit": null, "latest_commit": null, "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": 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": 268, "source": "Hugging Face", "score": -0.10430017781206705, "first_commit": "2023-11-16 10:23:21", "latest_commit": "2023-11-16 11:18:48", "languages": [], "model_or_dataset": "model", "model_size": 2.8, "model_architectures": null }, { "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": -0.10433027733586983, "first_commit": "2024-05-17 12:45:56", "latest_commit": "2024-05-18 09:14:46", "languages": [], "model_or_dataset": "model", "model_size": 96.2, "model_architectures": null }, { "description": "JaQuAD is developed to provide a SQuAD-like QA dataset in Japanese.", "url": "https://huggingface.co./datasets/SkelterLabsInc/JaQuAD", "project_name": "JaQuAD", "downloads": 261, "source": "Hugging Face", "score": -0.10440552614537679, "first_commit": "2022-01-26 01:34:38", "latest_commit": "2022-10-25 09:06:40", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "fio-base-japanese-v0.1 日本語版は近日公開予定です（日本語を勉強中なので、間違いはご容赦ください！", "url": "https://huggingface.co./bclavie/fio-base-japanese-v0.1", "project_name": "fio-base-japanese-v0.1", "downloads": 260, "source": "Hugging Face", "score": -0.10442057590727818, "first_commit": "2023-12-18 11:01:07", "latest_commit": "2023-12-19 10:28:16", "languages": [], "model_or_dataset": "model", "model_size": 0.111, "model_architectures": "BertModel" }, { "description": "Japanese Natural Language Inference Model", "url": "https://huggingface.co./cyberagent/xlm-roberta-large-jnli-jsick", "project_name": "xlm-roberta-large-jnli-jsick", "downloads": 259, "source": "Hugging Face", "score": -0.10443562566917958, "first_commit": "2022-12-23 10:51:12", "latest_commit": "2022-12-23 10:51:12", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "XLMRobertaForSequenceClassification" }, { "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": -0.10445067543108097, "first_commit": "2024-06-24 05:04:12", "latest_commit": "2024-06-24 06:35:40", "languages": [], "model_or_dataset": "model", "model_size": 8.03, "model_architectures": null }, { "description": "Fugaku-LLM利用規約 この利用規約（以下「本規約」といいます）は、富士通株式会社、国立研究開発法人理化学研究所、国立大学法人東京工業大学、国立大学法人東北大学、株式会社サイバーエージェント、国立大学法人東海国立大学機構、及び株式会社Kotoba Technologies Japan (以下「開発者」といいます)による、スーパーコンピュータ「富岳」政策対応枠における大規模言語モデル分散並列学習手法の開発の成果物として公開する大規模言語モデル（以下「Fugaku-LLM」といいます）の利用に関する条件を定めるものです。", "url": "https://huggingface.co./Fugaku-LLM/Fugaku-LLM-13B-instruct-gguf", "project_name": "Fugaku-LLM-13B-instruct-gguf", "downloads": 257, "source": "Hugging Face", "score": -0.10446572519298236, "first_commit": null, "latest_commit": null, "languages": [], "model_or_dataset": "model", "model_size": 13.4, "model_architectures": null }, { "description": "Qwen1.5-110B-Chat-gguf Qwenさんが公開しているQwen1.5-110B-Chatのggufフォーマット変換版です。 ", "url": "https://huggingface.co./mmnga/Qwen1.5-110B-Chat-gguf", "project_name": "Qwen1.5-110B-Chat-gguf", "downloads": 244, "source": "Hugging Face", "score": -0.10466137209770046, "first_commit": "2024-04-27 19:35:48", "latest_commit": "2024-04-28 08:09:17", "languages": [], "model_or_dataset": "model", "model_size": 111.0, "model_architectures": null }, { "description": "By clicking \"Agree\", you agree to the License Agreement and acknowledge Stability AI's Privacy Policy.", "url": "https://huggingface.co./stabilityai/japanese-stable-diffusion-xl", "project_name": "japanese-stable-diffusion-xl", "downloads": 242, "source": "Hugging Face", "score": -0.10469147162150325, "first_commit": null, "latest_commit": null, "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": null }, { "description": "SakanaAI-EvoLLM-JP-A-v1-7B-gguf SakanaAIさんが公開しているEvoLLM-JP-A-v1-7Bのggufフォーマット変換版です。 ", "url": "https://huggingface.co./mmnga/SakanaAI-EvoLLM-JP-A-v1-7B-gguf", "project_name": "SakanaAI-EvoLLM-JP-A-v1-7B-gguf", "downloads": 241, "source": "Hugging Face", "score": -0.10470652138340464, "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, "model_architectures": null }, { "description": "SpeechT5 (TTS task) for Japanese SpeechT5 model fine-tuned for Japanese speech synthesis (text-to-speech)", "url": "https://huggingface.co./esnya/japanese_speecht5_tts", "project_name": "japanese_speecht5_tts", "downloads": 240, "source": "Hugging Face", "score": -0.10472157114530603, "first_commit": "2023-08-08 18:37:40", "latest_commit": "2023-08-09 09:25:38", "languages": [], "model_or_dataset": "model", "model_size": 0.14400000000000002, "model_architectures": "SpeechT5ForTextToSpeech" }, { "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": "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": "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": -0.10475167066910882, "first_commit": "2024-04-22 05:14:33", "latest_commit": "2024-05-01 19:16:01", "languages": [], "model_or_dataset": "model", "model_size": 8.03, "model_architectures": "LlamaForCausalLM" }, { "description": "ELYZA-japanese-CodeLlama-7b-gguf ELYZAさんが公開しているELYZA-japanese-CodeLlama-7b-instructのggufフォーマット変換版です。 ", "url": "https://huggingface.co./mmnga/ELYZA-japanese-CodeLlama-7b-gguf", "project_name": "ELYZA-japanese-CodeLlama-7b-gguf", "downloads": 237, "source": "Hugging Face", "score": -0.10476672043101021, "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, "model_architectures": 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": 234, "source": "Hugging Face", "score": -0.10481186971671438, "first_commit": "2024-08-08 14:34:44", "latest_commit": "2024-08-08 15:29:27", "languages": [], "model_or_dataset": "model", "model_size": 0.305, "model_architectures": "NewModel" }, { "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": -0.10482691947861578, "first_commit": "2024-05-01 02:08:01", "latest_commit": "2024-05-04 04:07:22", "languages": [], "model_or_dataset": "model", "model_size": 7.24, "model_architectures": "MistralForCausalLM" }, { "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": -0.10484196924051717, "first_commit": "2024-07-07 07:53:32", "latest_commit": "2024-07-07 13:40:26", "languages": [], "model_or_dataset": "model", "model_size": 8.03, "model_architectures": null }, { "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": -0.10484196924051717, "first_commit": "2024-03-06 03:30:25", "latest_commit": "2024-03-06 21:46:11", "languages": [], "model_or_dataset": "model", "model_size": 0.91, "model_architectures": "CustomCLIPModel" }, { "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": -0.10488711852622135, "first_commit": "2023-05-09 07:44:59", "latest_commit": "2023-05-12 11:05:03", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "MBartForConditionalGeneration" }, { "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": -0.10490216828812274, "first_commit": "2023-04-13 08:25:56", "latest_commit": "2024-02-26 13:53:06", "languages": [], "model_or_dataset": "model", "model_size": 0.11, "model_architectures": "BertForTokenClassification" }, { "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": -0.10491721805002413, "first_commit": "2024-03-29 12:35:47", "latest_commit": "2024-05-22 02:59:37", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "BertForMaskedLM" }, { "description": "XLNet-japanese Model description This model require Mecab and senetencepiece with XLNetTokenizer.", "url": "https://huggingface.co./hajime9652/xlnet-japanese", "project_name": "xlnet-japanese", "downloads": 225, "source": "Hugging Face", "score": -0.10494731757382691, "first_commit": "2021-04-01 03:12:11", "latest_commit": "2023-01-05 04:28:36", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "XLNetLMHeadModel" }, { "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": -0.10494731757382691, "first_commit": "2023-11-16 10:25:20", "latest_commit": "2023-11-16 12:53:33", "languages": [], "model_or_dataset": "model", "model_size": 2.8, "model_architectures": null }, { "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": -0.10496236733572831, "first_commit": "2023-10-05 05:10:25", "latest_commit": "2023-10-05 05:13:09", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "LukeModel" }, { "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": -0.10496236733572831, "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, "model_architectures": null }, { "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": -0.10496236733572831, "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, "model_architectures": "LlamaForCausalLM" }, { "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": -0.1049774170976297, "first_commit": "2021-06-18 07:15:24", "latest_commit": "2023-02-08 00:36:47", "languages": [], "model_or_dataset": "model", "model_size": 0.316, "model_architectures": "Wav2Vec2ForCTC" }, { "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": -0.10503761614523527, "first_commit": "2023-11-06 11:33:47", "latest_commit": "2023-11-06 12:14:36", "languages": [], "model_or_dataset": "model", "model_size": 69.0, "model_architectures": null }, { "description": "Dataset Summary This is the Business Scene Dialogue (BSD) dataset, a Japanese-English parallel corpus containing written conversations in various business scenarios.", "url": "https://huggingface.co./datasets/ryo0634/bsd_ja_en", "project_name": "bsd_ja_en", "downloads": 219, "source": "Hugging Face", "score": -0.10503761614523527, "first_commit": "2022-01-25 16:35:02", "latest_commit": "2024-01-11 07:36:44", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "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": -0.10509781519284084, "first_commit": "2024-07-15 11:58:12", "latest_commit": "2024-07-15 20:08:22", "languages": [], "model_or_dataset": "model", "model_size": 8.03, "model_architectures": null }, { "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": -0.10511286495474223, "first_commit": "2024-07-24 18:59:58", "latest_commit": "2024-07-26 12:21:45", "languages": [], "model_or_dataset": "model", "model_size": 123.0, "model_architectures": null }, { "description": "概要 このモデルはllama3.1-8B-instructをもとに日本語性能を高めることを目的にMergekit&ファインチューニングを用いて作成されました。 ", "url": "https://huggingface.co./DataPilot/Llama3.1-ArrowSE-v0.4", "project_name": "Llama3.1-ArrowSE-v0.4", "downloads": 214, "source": "Hugging Face", "score": -0.10511286495474223, "first_commit": "2024-07-24 07:37:16", "latest_commit": "2024-07-24 12:00:46", "languages": [], "model_or_dataset": "model", "model_size": 8.03, "model_architectures": "LlamaForCausalLM" }, { "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": -0.10514296447854501, "first_commit": "2023-04-30 06:13:24", "latest_commit": "2024-01-18 13:42:50", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "Rakuda - Questions for Japanese models Repository:", "url": "https://huggingface.co./datasets/yuzuai/rakuda-questions", "project_name": "rakuda-questions", "downloads": 211, "source": "Hugging Face", "score": -0.1051580142404464, "first_commit": "2023-06-23 01:08:54", "latest_commit": "2023-06-23 08:01:35", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "shisa-7b-v1-gguf augmxntさんが公開しているshisa-7b-v1のggufフォーマット変換版です。 ", "url": "https://huggingface.co./mmnga/shisa-7b-v1-gguf", "project_name": "shisa-7b-v1-gguf", "downloads": 210, "source": "Hugging Face", "score": -0.10517306400234781, "first_commit": "2023-12-09 14:02:20", "latest_commit": "2023-12-10 12:24:25", "languages": [], "model_or_dataset": "model", "model_size": 7.96, "model_architectures": null }, { "description": "SakanaAI-EvoLLM-JP-v1-7B-gguf SakanaAIさんが公開しているEvoLLM-JP-v1-7Bのggufフォーマット変換版です。 ", "url": "https://huggingface.co./mmnga/SakanaAI-EvoLLM-JP-v1-7B-gguf", "project_name": "SakanaAI-EvoLLM-JP-v1-7B-gguf", "downloads": 208, "source": "Hugging Face", "score": -0.1052031635261506, "first_commit": "2024-03-21 13:04:25", "latest_commit": "2024-03-21 14:41:04", "languages": [], "model_or_dataset": "model", "model_size": 7.24, "model_architectures": null }, { "description": "モデル説明 (model explanation) CoolJapanDiffusion 2.1.1とWaifuDiffusion 1.4 anime epoch2のマージ。", "url": "https://huggingface.co./ThePioneer/CoolerWaifuDiffusion", "project_name": "CoolerWaifuDiffusion", "downloads": 208, "source": "Hugging Face", "score": -0.1052031635261506, "first_commit": "2023-01-20 23:52:39", "latest_commit": "2023-01-22 19:16:59", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": null }, { "description": "By clicking \"Agree\", you agree to the License Agreement and acknowledge Stability AI's Privacy Policy.", "url": "https://huggingface.co./stabilityai/japanese-stablelm-2-base-1_6b", "project_name": "japanese-stablelm-2-base-1_6b", "downloads": 207, "source": "Hugging Face", "score": -0.10521821328805199, "first_commit": null, "latest_commit": null, "languages": [], "model_or_dataset": "model", "model_size": 1.64, "model_architectures": 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": 202, "source": "Hugging Face", "score": -0.10529346209755895, "first_commit": "2024-05-21 12:16:42", "latest_commit": "2024-05-24 15:11:25", "languages": [], "model_or_dataset": "model", "model_size": 7.24, "model_architectures": null }, { "description": "Japanese Laws This dataset comprises 8.75K law records retrieved from the official Japanese government website e-Gov. ", "url": "https://huggingface.co./datasets/y2lan/japan-law", "project_name": "japan-law", "downloads": 201, "source": "Hugging Face", "score": -0.10530851185946034, "first_commit": "2023-07-20 06:26:25", "latest_commit": "2023-07-20 06:45:14", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "記事本文からタイトルを生成するモデル SEE: https://qiita.com/sonoisa/items/a9af64ff641f0bbfed44", "url": "https://huggingface.co./sonoisa/t5-base-japanese-title-generation", "project_name": "t5-base-japanese-title-generation", "downloads": 199, "source": "Hugging Face", "score": -0.10533861138326313, "first_commit": "2021-04-04 06:57:18", "latest_commit": "2022-02-21 13:38:09", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "T5ForConditionalGeneration" }, { "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": -0.1053988104308687, "first_commit": "2024-06-14 01:44:05", "latest_commit": "2024-06-18 05:53:41", "languages": [], "model_or_dataset": "model", "model_size": 7.96, "model_architectures": null }, { "description": "Additional pretrained BERT base Japanese finance This is a BERT model pretrained on texts in the Japanese language.", "url": "https://huggingface.co./izumi-lab/bert-base-japanese-fin-additional", "project_name": "bert-base-japanese-fin-additional", "downloads": 195, "source": "Hugging Face", "score": -0.1053988104308687, "first_commit": "2022-03-11 17:41:11", "latest_commit": "2022-12-09 00:40:25", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "BertForPreTraining" }, { "description": "Anime with caption CC-0 dataset このデータセットはイラストに対する日本語キャプションを 倫理的に学習しやすくするためのデータセットです。 ", "url": "https://huggingface.co./datasets/alfredplpl/anime-with-caption-cc0", "project_name": "anime-with-caption-cc0", "downloads": 193, "source": "Hugging Face", "score": -0.10542890995467148, "first_commit": "2024-06-03 04:37:13", "latest_commit": "2024-06-03 05:49:20", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "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": -0.10544395971657287, "first_commit": "2023-01-06 05:41:12", "latest_commit": "2023-04-21 19:04:49", "languages": [], "model_or_dataset": "model", "model_size": 2.78, "model_architectures": "GPTSanJapaneseForConditionalGeneration" }, { "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": -0.10544395971657287, "first_commit": "2024-03-21 09:51:10", "latest_commit": "2024-05-14 04:11:31", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "モデルの説明(English explanation is below.", "url": "https://huggingface.co./keitokei1994/Llama-3-ELYZA-sqlcoder-2x8B-GGUF", "project_name": "Llama-3-ELYZA-sqlcoder-2x8B-GGUF", "downloads": 190, "source": "Hugging Face", "score": -0.10547405924037566, "first_commit": "2024-06-28 01:51:50", "latest_commit": "2024-06-28 05:56:23", "languages": [], "model_or_dataset": "model", "model_size": 13.7, "model_architectures": null }, { "description": "DataPilot様の ArrowPro-7B-KUJIRA をGGUF形式に変換したものです。 ", "url": "https://huggingface.co./MCZK/ArrowPro-7B-KUJIRA-GGUF", "project_name": "ArrowPro-7B-KUJIRA-GGUF", "downloads": 189, "source": "Hugging Face", "score": -0.10548910900227705, "first_commit": "2024-05-09 13:34:05", "latest_commit": "2024-05-09 23:32:52", "languages": [], "model_or_dataset": "model", "model_size": 7.24, "model_architectures": null }, { "description": "By clicking \"Agree\", you agree to the License Agreement and acknowledge Stability AI's Privacy Policy.", "url": "https://huggingface.co./stabilityai/japanese-stable-clip-vit-l-16", "project_name": "japanese-stable-clip-vit-l-16", "downloads": 189, "source": "Hugging Face", "score": -0.10548910900227705, "first_commit": null, "latest_commit": null, "languages": [], "model_or_dataset": "model", "model_size": 0.41400000000000003, "model_architectures": 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": 189, "source": "Hugging Face", "score": -0.10548910900227705, "first_commit": "2023-11-07 13:53:40", "latest_commit": "2024-06-30 10:06:34", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "Local-Novel-LLM-project様の Assistance をGGUF形式に変換したものです。 ", "url": "https://huggingface.co./MCZK/Assistance-7B-GGUF", "project_name": "Assistance-7B-GGUF", "downloads": 187, "source": "Hugging Face", "score": -0.10551920852607984, "first_commit": "2024-05-03 12:16:29", "latest_commit": "2024-05-04 07:48:41", "languages": [], "model_or_dataset": "model", "model_size": 7.24, "model_architectures": null }, { "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": -0.10553425828798123, "first_commit": "2024-06-12 17:16:36", "latest_commit": "2024-06-18 06:17:30", "languages": [], "model_or_dataset": "model", "model_size": 7.24, "model_architectures": null }, { "description": "Sakura_dataset 商用利用可能な超小規模高品質日本語データセット。 ", "url": "https://huggingface.co./datasets/saldra/sakura_japanese_dataset", "project_name": "sakura_japanese_dataset", "downloads": 185, "source": "Hugging Face", "score": -0.10554930804988262, "first_commit": "2023-06-07 05:44:23", "latest_commit": "2023-06-08 11:31:06", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "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": -0.10556435781178401, "first_commit": "2023-04-26 08:26:49", "latest_commit": "2023-05-10 10:01:29", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "T5ForConditionalGeneration" }, { "description": "range3/wiki40b-ja This dataset consists of three parquet files from the wiki40b dataset with only Japanese data extracted.", "url": "https://huggingface.co./datasets/range3/wiki40b-ja", "project_name": "wiki40b-ja", "downloads": 184, "source": "Hugging Face", "score": -0.10556435781178401, "first_commit": "2023-02-04 04:54:17", "latest_commit": "2023-02-04 05:44:21", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "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": -0.10560950709748819, "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, "model_architectures": "WhisperForConditionalGeneration" }, { "description": "Stanza model for Japanese (ja)", "url": "https://huggingface.co./stanfordnlp/stanza-ja", "project_name": "stanza-ja", "downloads": 181, "source": "Hugging Face", "score": -0.10560950709748819, "first_commit": "2021-09-07 12:05:41", "latest_commit": "2024-07-31 05:09:43", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": 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パラメータの日本語チャットモデルです。", "url": "https://huggingface.co./TFMC/Japanese-Starling-ChatV-7B", "project_name": "Japanese-Starling-ChatV-7B", "downloads": 179, "source": "Hugging Face", "score": -0.10563960662129097, "first_commit": "2024-04-14 12:18:31", "latest_commit": "2024-04-14 15:26:06", "languages": [], "model_or_dataset": "model", "model_size": 7.24, "model_architectures": "MistralForCausalLM" }, { "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": 178, "source": "Hugging Face", "score": -0.10565465638319237, "first_commit": "2024-02-13 15:18:15", "latest_commit": "2024-02-13 16:26:26", "languages": [], "model_or_dataset": "model", "model_size": 6.74, "model_architectures": null }, { "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": -0.10566970614509376, "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, "model_architectures": "MistralForCausalLM" }, { "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", "score": -0.10568475590699515, "first_commit": "2023-10-21 13:24:11", "latest_commit": "2024-07-19 03:07:57", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "DebertaV2ForMaskedLM" }, { "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": 174, "source": "Hugging Face", "score": -0.10571485543079794, "first_commit": "2024-06-19 08:52:12", "latest_commit": "2024-06-19 11:40:58", "languages": [], "model_or_dataset": "model", "model_size": 7.33, "model_architectures": null }, { "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", "score": -0.10572990519269933, "first_commit": "2024-01-27 07:11:25", "latest_commit": "2024-01-30 18:09:37", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": 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-sentences", "project_name": "jawiki-sentences", "downloads": 172, "source": "Hugging Face", "score": -0.10574495495460072, "first_commit": "2023-06-03 03:02:08", "latest_commit": "2023-10-25 15:22:05", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "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": -0.1057750544784035, "first_commit": "2024-01-28 16:13:26", "latest_commit": "2024-01-28 16:24:30", "languages": [], "model_or_dataset": "model", "model_size": 7.24, "model_architectures": null }, { "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": 168, "source": "Hugging Face", "score": -0.10580515400220629, "first_commit": "2022-01-15 17:39:06", "latest_commit": "2022-02-10 07:50:15", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "VisionEncoderDecoderModel" }, { "description": "Llama3ベースの日本語医療LLM MedLlama3-JP このモデルはLlama3の継続学習により作成された４種類のLLMから成るマージモデルです。 ", "url": "https://huggingface.co./EQUES/MedLLama3-JP-v2", "project_name": "MedLLama3-JP-v2", "downloads": 167, "source": "Hugging Face", "score": -0.10582020376410768, "first_commit": "2024-07-01 13:42:17", "latest_commit": "2024-07-13 06:12:43", "languages": [], "model_or_dataset": "model", "model_size": 8.03, "model_architectures": "LlamaForCausalLM" }, { "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": -0.10583525352600907, "first_commit": "2024-06-16 05:26:00", "latest_commit": "2024-06-16 11:32:15", "languages": [], "model_or_dataset": "model", "model_size": 7.24, "model_architectures": null }, { "description": "Kotoba-Speech-v0.1 Kotoba-Speech v0.1 is a 1.2B Transformer-based speech generative model.", "url": "https://huggingface.co./kotoba-tech/kotoba-speech-v0.1", "project_name": "kotoba-speech-v0.1", "downloads": 165, "source": "Hugging Face", "score": -0.10585030328791047, "first_commit": "2024-03-14 01:21:58", "latest_commit": "2024-04-17 07:54:48", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": null }, { "description": "Japanese-WizardLM2-ChatV-7B-GGUF GGUF conversion of \"Japanese-WizardLM2-ChatV-7B\" This model, Japanese-WizardLM2-ChatV-7B, is based on \"chatntq-ja-7b-v1.0 \", and was created by subtracting \"Mistral-7B-v0.1\" from \"WizardLM-2-7b\" ChatVector was added by a factor of 1.0.", "url": "https://huggingface.co./umiyuki/Japanese-WizardLM2-ChatV-7B-GGUF", "project_name": "Japanese-WizardLM2-ChatV-7B-GGUF", "downloads": 161, "source": "Hugging Face", "score": -0.10591050233551604, "first_commit": "2024-04-16 14:45:30", "latest_commit": "2024-04-17 01:41:16", "languages": [], "model_or_dataset": "model", "model_size": 7.24, "model_architectures": null }, { "description": "By clicking \"Agree\", you agree to the License Agreement and acknowledge Stability AI's Privacy Policy.", "url": "https://huggingface.co./stabilityai/japanese-stable-vlm", "project_name": "japanese-stable-vlm", "downloads": 155, "source": "Hugging Face", "score": -0.10600080090692439, "first_commit": null, "latest_commit": null, "languages": [], "model_or_dataset": "model", "model_size": 7.57, "model_architectures": null }, { "description": "MaziyarPanahi/japanese-stablelm-instruct-gamma-7b-Mistral-7B-Instruct-v0.1-GGUF Model creator: MaziyarPanahi Original model: MaziyarPanahi/japanese-stablelm-instruct-gamma-7b-Mistral-7B-Instruct-v0.1 Description MaziyarPanahi/japanese-stablelm-instruct-gamma-7b-Mistral-7B-Instruct-v0.1-GGUF contains GGUF format model files for MaziyarPanahi/japanese-stablelm-instruct-gamma-7b-Mistral-7B-Instruct-v0.1.", "url": "https://huggingface.co./MaziyarPanahi/japanese-stablelm-instruct-gamma-7b-Mistral-7B-Instruct-v0.1-GGUF", "project_name": "japanese-stablelm-instruct-gamma-7b-Mistral-7B-Instruct-v0.1-GGUF", "downloads": 155, "source": "Hugging Face", "score": -0.10600080090692439, "first_commit": "2024-01-26 06:13:55", "latest_commit": "2024-01-26 06:36:22", "languages": [], "model_or_dataset": "model", "model_size": 7.24, "model_architectures": null }, { "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": -0.10603090043072717, "first_commit": "2023-09-21 16:19:31", "latest_commit": "2024-07-05 05:49:13", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "DebertaV2ForTokenClassification" }, { "description": "oasst2-33k-ja This repository provides an instruction tuning dataset developed by LLM-jp, a collaborative project launched in Japan.", "url": "https://huggingface.co./datasets/llm-jp/oasst2-33k-ja", "project_name": "oasst2-33k-ja", "downloads": 151, "source": "Hugging Face", "score": -0.10606099995452996, "first_commit": "2024-04-28 16:24:00", "latest_commit": "2024-04-28 16:39:03", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "モデル概要 AWSのtrn1インスタンスを用いて開発した大喜利言語モデルです。", "url": "https://huggingface.co./watashiha/watashiha-gpt-6b", "project_name": "watashiha-gpt-6b", "downloads": 150, "source": "Hugging Face", "score": -0.10607604971643135, "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, "model_architectures": "GPT2LMHeadModel" }, { "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": -0.10610614924023413, "first_commit": "2022-01-23 11:29:39", "latest_commit": "2022-01-24 05:25:31", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": null }, { "description": "mbpp-ja", "url": "https://huggingface.co./datasets/llm-jp/mbpp-ja", "project_name": "mbpp-ja", "downloads": 147, "source": "Hugging Face", "score": -0.10612119900213553, "first_commit": "2024-04-19 00:26:56", "latest_commit": "2024-04-20 06:26:51", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "Local-Novel-LLM-project様の Ninja-V3 をGGUF形式に変換したものです。 ", "url": "https://huggingface.co./MCZK/Ninja-V3-GGUF", "project_name": "Ninja-V3-GGUF", "downloads": 146, "source": "Hugging Face", "score": -0.10613624876403692, "first_commit": "2024-07-03 11:52:04", "latest_commit": "2024-07-03 16:59:05", "languages": [], "model_or_dataset": "model", "model_size": 7.24, "model_architectures": 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": 145, "source": "Hugging Face", "score": -0.10615129852593831, "first_commit": "2024-05-10 12:03:26", "latest_commit": "2024-05-10 18:14:28", "languages": [], "model_or_dataset": "model", "model_size": 7.24, "model_architectures": null }, { "description": "line-corporation/japanese-large-lm-3.6b-instruction-sft line-corporationさんが公開しているjapanese-large-lm-3.6b-instruction-sftのgguf変換版です。 ", "url": "https://huggingface.co./mmnga/line-corp-japanese-large-lm-3.6b-instruction-sft-gguf", "project_name": "line-corp-japanese-large-lm-3.6b-instruction-sft-gguf", "downloads": 139, "source": "Hugging Face", "score": -0.10624159709734667, "first_commit": "2023-09-02 18:01:40", "latest_commit": "2023-09-08 02:52:29", "languages": [], "model_or_dataset": "model", "model_size": 3.71, "model_architectures": null }, { "description": "Tanuki-ZeRo-gguf kanhatakeyamaさんが公開しているTanuki-ZeRoのggufフォーマット変換版です。 ", "url": "https://huggingface.co./mmnga/Tanuki-ZeRo-gguf", "project_name": "Tanuki-ZeRo-gguf", "downloads": 137, "source": "Hugging Face", "score": -0.10627169662114945, "first_commit": "2024-03-30 10:49:02", "latest_commit": "2024-03-30 17:01:16", "languages": [], "model_or_dataset": "model", "model_size": 13.1, "model_architectures": null }, { "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": -0.10628674638305084, "first_commit": "2024-07-17 17:49:56", "latest_commit": "2024-07-17 18:54:27", "languages": [], "model_or_dataset": "model", "model_size": 7.25, "model_architectures": null }, { "description": "WRIME-fine-tuned BERT base Japanese This model is a Japanese BERTBASE fine-tuned on the WRIME dataset.", "url": "https://huggingface.co./patrickramos/bert-base-japanese-v2-wrime-fine-tune", "project_name": "bert-base-japanese-v2-wrime-fine-tune", "downloads": 136, "source": "Hugging Face", "score": -0.10628674638305084, "first_commit": "2022-05-22 09:42:14", "latest_commit": "2023-03-22 08:11:34", "languages": [], "model_or_dataset": "model", "model_size": 0.111, "model_architectures": "BertForSequenceClassification" }, { "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": -0.10630179614495223, "first_commit": "2024-06-15 16:23:41", "latest_commit": "2024-06-15 21:25:59", "languages": [], "model_or_dataset": "model", "model_size": 7.24, "model_architectures": null }, { "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": -0.10630179614495223, "first_commit": "2024-04-05 17:10:51", "latest_commit": "2024-04-07 03:19:34", "languages": [], "model_or_dataset": "model", "model_size": 35.0, "model_architectures": null }, { "description": "umiyuki様の Japanese-Chat-Umievo-itr004-7b をGGUF形式に変換したものです。 ", "url": "https://huggingface.co./MCZK/Japanese-Chat-Umievo-itr004-7b-GGUF", "project_name": "Japanese-Chat-Umievo-itr004-7b-GGUF", "downloads": 133, "source": "Hugging Face", "score": -0.10633189566875502, "first_commit": "2024-05-13 16:28:41", "latest_commit": "2024-05-13 23:33:49", "languages": [], "model_or_dataset": "model", "model_size": 7.24, "model_architectures": null }, { "description": "Ninja-v1-RP-GGUF 概要 Aratako/Ninja-v1-RPの量子化済みGGUF版です。", "url": "https://huggingface.co./Aratako/Ninja-v1-RP-GGUF", "project_name": "Ninja-v1-RP-GGUF", "downloads": 130, "source": "Hugging Face", "score": -0.1063770449544592, "first_commit": "2024-05-20 17:08:50", "latest_commit": "2024-05-24 15:11:08", "languages": [], "model_or_dataset": "model", "model_size": 7.24, "model_architectures": 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-retriever", "project_name": "aio-retriever", "downloads": 129, "source": "Hugging Face", "score": -0.10639209471636059, "first_commit": "2023-07-04 04:53:47", "latest_commit": "2023-10-25 15:31:08", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "Orion-14B 🌐English | 🇨", "url": "https://huggingface.co./OrionStarAI/Orion-14B-Chat-Int4", "project_name": "Orion-14B-Chat-Int4", "downloads": 126, "source": "Hugging Face", "score": -0.10643724400206477, "first_commit": "2024-01-18 09:54:07", "latest_commit": "2024-03-26 10:04:46", "languages": [], "model_or_dataset": "model", "model_size": 2.69, "model_architectures": "OrionForCausalLM" }, { "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": -0.10643724400206477, "first_commit": "2023-09-21 16:15:15", "latest_commit": "2024-07-05 05:50:06", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "DebertaV2ForTokenClassification" }, { "description": "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", "score": -0.10646734352586755, "first_commit": "2023-04-13 22:46:07", "latest_commit": "2023-08-01 07:55:27", "languages": [], "model_or_dataset": "model", "model_size": 1.33, "model_architectures": "GPT2LMHeadModel" }, { "description": "ryota39様の Tora-7B-v0.1 をGGUF形式に変換したものです。 ", "url": "https://huggingface.co./MCZK/Tora-7B-v0.1-GGUF", "project_name": "Tora-7B-v0.1-GGUF", "downloads": 123, "source": "Hugging Face", "score": -0.10648239328776894, "first_commit": "2024-05-07 11:24:35", "latest_commit": "2024-06-15 03:16:21", "languages": [], "model_or_dataset": "model", "model_size": 7.24, "model_architectures": null }, { "description": "275.86Mのmixtralを日本語データセットでpretrainingしたものです sample from transformers import AutoTokenizer, AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained(\"if001/tiny_mixtral_ja\")", "url": "https://huggingface.co./if001/tiny_mixtral_ja", "project_name": "tiny_mixtral_ja", "downloads": 123, "source": "Hugging Face", "score": -0.10648239328776894, "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, "model_architectures": "MixtralForCausalLM" }, { "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": -0.10648239328776894, "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_architectures": null }, { "description": "Ninja-v1-RP-expressive-GGUF 概要 Aratako/Oumuamua-7b-RPの量子化済みGGUF版です。", "url": "https://huggingface.co./Aratako/Oumuamua-7b-RP-GGUF", "project_name": "Oumuamua-7b-RP-GGUF", "downloads": 122, "source": "Hugging Face", "score": -0.10649744304967033, "first_commit": "2024-06-23 13:00:02", "latest_commit": "2024-06-23 14:45:14", "languages": [], "model_or_dataset": "model", "model_size": 7.33, "model_architectures": null }, { "description": "deberta-base-japanese-aozora-ud-head Model Description", "url": "https://huggingface.co./KoichiYasuoka/deberta-base-japanese-aozora-ud-head", "project_name": "deberta-base-japanese-aozora-ud-head", "downloads": 120, "source": "Hugging Face", "score": -0.10652754257347312, "first_commit": "2022-06-15 04:02:27", "latest_commit": "2023-03-04 20:10:16", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "DebertaV2ForQuestionAnswering" }, { "description": "[github].", "url": "https://huggingface.co./datasets/fujiki/japanese_alpaca_data", "project_name": "japanese_alpaca_data", "downloads": 120, "source": "Hugging Face", "score": -0.10652754257347312, "first_commit": "2023-05-18 07:13:15", "latest_commit": "2023-05-19 12:54:13", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": 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": 119, "source": "Hugging Face", "score": -0.10654259233537451, "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, "model_architectures": "WhisperForConditionalGeneration" }, { "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": -0.10654259233537451, "first_commit": "2023-05-18 06:29:28", "latest_commit": "2023-06-08 05:34:26", "languages": [], "model_or_dataset": "model", "model_size": 0.335, "model_architectures": "GPT2LMHeadModel" }, { "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": -0.1065726918591773, "first_commit": "2023-04-26 08:18:58", "latest_commit": "2023-05-10 10:00:54", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "T5ForConditionalGeneration" }, { "description": "lightblue-Karasu-Mixtral-8x22B-v0.1-gguf lightblueさんが公開しているKarasu-Mixtral-8x22B-v0.1のggufフォーマット変換版です。 ", "url": "https://huggingface.co./mmnga/lightblue-Karasu-Mixtral-8x22B-v0.1-gguf", "project_name": "lightblue-Karasu-Mixtral-8x22B-v0.1-gguf", "downloads": 115, "source": "Hugging Face", "score": -0.10660279138298008, "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, "model_architectures": null }, { "description": "Japanese-TextGen-Kage-v0.1-2x7B Kage is \"影\" in Japanese or \"Shadow\" in English.", "url": "https://huggingface.co./dddump/Japanese-TextGen-Kage-v0.1-2x7B-gguf", "project_name": "Japanese-TextGen-Kage-v0.1-2x7B-gguf", "downloads": 114, "source": "Hugging Face", "score": -0.10661784114488147, "first_commit": "2024-05-04 07:03:38", "latest_commit": "2024-05-19 08:54:19", "languages": [], "model_or_dataset": "model", "model_size": 12.9, "model_architectures": null }, { "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": -0.10664794066868426, "first_commit": "2024-04-11 05:38:09", "latest_commit": "2024-04-26 06:27:05", "languages": [], "model_or_dataset": "model", "model_size": 0.111, "model_architectures": "BertForSequenceClassification" }, { "description": "To load a language pair which isn't part of the config, all you need to do is specify the language code as pairs.", "url": "https://huggingface.co./datasets/Helsinki-NLP/tatoeba", "project_name": "tatoeba", "downloads": 112, "source": "Hugging Face", "score": -0.10664794066868426, "first_commit": null, "latest_commit": null, "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "Japanese ELECTRA-small We provide a Japanese ELECTRA-Small model, as described in ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators.", "url": "https://huggingface.co./cinmodel/electra-small-japanese-discriminator", "project_name": "electra-small-japanese-discriminator", "downloads": 110, "source": "Hugging Face", "score": -0.10667804019248704, "first_commit": "2020-11-13 06:49:25", "latest_commit": "2020-12-11 22:26:13", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "ElectraForPreTraining" }, { "description": "Dataset 5M (5121625) clean Japanese full sentence with the context.", "url": "https://huggingface.co./datasets/AhmedSSabir/Japanese-wiki-dump-sentence-dataset", "project_name": "Japanese-wiki-dump-sentence-dataset", "downloads": 110, "source": "Hugging Face", "score": -0.10667804019248704, "first_commit": "2022-06-08 11:34:04", "latest_commit": "2023-07-11 12:22:09", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "ryota39様の Tora-7B-v0.2 をGGUF形式に変換したものです。 ", "url": "https://huggingface.co./MCZK/Tora-7B-v0.2-GGUF", "project_name": "Tora-7B-v0.2-GGUF", "downloads": 109, "source": "Hugging Face", "score": -0.10669308995438843, "first_commit": "2024-05-06 12:50:49", "latest_commit": "2024-06-15 03:17:32", "languages": [], "model_or_dataset": "model", "model_size": 7.24, "model_architectures": null }, { "description": "AIBunCho/japanese-novel-gpt-j-6b AI BunChoで利用しているモデルです。", "url": "https://huggingface.co./AIBunCho/japanese-novel-gpt-j-6b", "project_name": "japanese-novel-gpt-j-6b", "downloads": 109, "source": "Hugging Face", "score": -0.10669308995438843, "first_commit": "2023-08-11 00:52:32", "latest_commit": "2023-08-26 04:20:51", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "GPTJForCausalLM" }, { "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": -0.10670813971628983, "first_commit": "2024-07-03 11:02:45", "latest_commit": "2024-07-04 07:20:41", "languages": [], "model_or_dataset": "model", "model_size": 13.7, "model_architectures": null }, { "description": "Finetuned Waseda RoBERTa to evaluate the generated answers on JTruthfulQA.", "url": "https://huggingface.co./nlp-waseda/roberta_jtruthfulqa", "project_name": "roberta_jtruthfulqa", "downloads": 107, "source": "Hugging Face", "score": -0.10672318947819122, "first_commit": "2023-12-06 01:33:02", "latest_commit": "2023-12-06 04:31:12", "languages": [], "model_or_dataset": "model", "model_size": 0.337, "model_architectures": "RobertaForSequenceClassification" }, { "description": "Japanese stopwords for nagisa", "url": "https://huggingface.co./datasets/taishi-i/nagisa_stopwords", "project_name": "nagisa_stopwords", "downloads": 107, "source": "Hugging Face", "score": -0.10672318947819122, "first_commit": "2023-08-06 17:10:10", "latest_commit": "2023-08-07 02:58:31", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "doc2query/msmarco-japanese-mt5-base-v1 This is a doc2query model based on mT5 (also known as docT5query).", "url": "https://huggingface.co./doc2query/msmarco-japanese-mt5-base-v1", "project_name": "msmarco-japanese-mt5-base-v1", "downloads": 106, "source": "Hugging Face", "score": -0.10673823924009261, "first_commit": "2022-04-29 12:05:21", "latest_commit": "2022-04-29 14:05:37", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "MT5ForConditionalGeneration" }, { "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": -0.10673823924009261, "first_commit": "2020-11-13 06:49:52", "latest_commit": "2020-12-11 22:26:17", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "ElectraForMaskedLM" }, { "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": -0.106753289001994, "first_commit": "2024-06-26 14:18:01", "latest_commit": "2024-07-24 19:06:51", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "https://huggingface.co./kotoba-tech/kotoba-whisper-v1.1 上記のモデルを訓練し、アダルト用語を認識できるようにしたものです。", "url": "https://huggingface.co./swdq/Visual-novel-whisper", "project_name": "Visual-novel-whisper", "downloads": 104, "source": "Hugging Face", "score": -0.1067683387638954, "first_commit": "2024-07-24 10:09:29", "latest_commit": "2024-07-24 10:29:47", "languages": [], "model_or_dataset": "model", "model_size": 0.756, "model_architectures": "WhisperForConditionalGeneration" }, { "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": -0.1067683387638954, "first_commit": "2023-03-29 07:20:03", "latest_commit": "2023-03-29 17:28:01", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": null }, { "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": -0.1067683387638954, "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, "model_architectures": "LlamaForCausalLM" }, { "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": -0.10679843828769818, "first_commit": "2024-07-24 03:10:38", "latest_commit": "2024-07-24 04:03:21", "languages": [], "model_or_dataset": "model", "model_size": 8.03, "model_architectures": "LlamaForCausalLM" }, { "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": -0.10682853781150096, "first_commit": "2024-05-04 04:16:35", "latest_commit": "2024-05-15 12:56:34", "languages": [], "model_or_dataset": "model", "model_size": 8.03, "model_architectures": "LlamaForCausalLM" }, { "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": -0.10684358757340236, "first_commit": "2022-01-25 16:36:23", "latest_commit": "2024-01-18 11:16:01", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "LLM-jp Toxicity Dataset 日本語有害文書データセット「LLM-jp Toxicity Dataset」 See https://gitlab.llm-jp.nii.ac.jp/datasets/llm-jp-toxicity-dataset", "url": "https://huggingface.co./datasets/p1atdev/LLM-jp-Toxicity-Dataset", "project_name": "LLM-jp-Toxicity-Dataset", "downloads": 99, "source": "Hugging Face", "score": -0.10684358757340236, "first_commit": "2024-08-07 07:11:08", "latest_commit": "2024-08-07 07:21:07", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "GGUF conversion of NTQAI/chatntq-ja-7b-v1.0 ChatNTQ-JA-7b-v1.0 is a Japanese chat fine-tuned model built on top of the stabilityai/japanese-stablelm-base-gamma-7b, which is originally based on Mistral 7B v0.1.", "url": "https://huggingface.co./TFMC/ChatNTQ-JA-7b-v1.0-GGUF", "project_name": "ChatNTQ-JA-7b-v1.0-GGUF", "downloads": 98, "source": "Hugging Face", "score": -0.10685863733530375, "first_commit": "2024-04-03 22:42:14", "latest_commit": "2024-04-04 23:10:54", "languages": [], "model_or_dataset": "model", "model_size": 7.24, "model_architectures": null }, { "description": "Wikidata parallel descriptions en-ja Parallel corpus for machine translation generated from wikidata dump (2024-05-06).", "url": "https://huggingface.co./datasets/Mitsua/wikidata-parallel-descriptions-en-ja", "project_name": "wikidata-parallel-descriptions-en-ja", "downloads": 95, "source": "Hugging Face", "score": -0.10690378662100794, "first_commit": "2024-05-13 12:02:43", "latest_commit": "2024-05-17 00:25:10", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "alpaca-guanaco-japanese-gpt-1b 1.3Bパラメータの日本語GPTモデルを使用した対話AIです。", "url": "https://huggingface.co./inu-ai/alpaca-guanaco-japanese-gpt-1b", "project_name": "alpaca-guanaco-japanese-gpt-1b", "downloads": 94, "source": "Hugging Face", "score": -0.10691883638290933, "first_commit": "2023-04-12 00:18:29", "latest_commit": "2023-04-13 10:25:48", "languages": [], "model_or_dataset": "model", "model_size": 1.33, "model_architectures": "GPT2LMHeadModel" }, { "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": -0.10691883638290933, "first_commit": "2022-04-08 08:52:22", "latest_commit": "2022-04-08 11:38:39", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "RobertaForQuestionAnswering" }, { "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": -0.10696398566861351, "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, "model_architectures": "DebertaV2ForMaskedLM" }, { "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": -0.10696398566861351, "first_commit": "2024-07-05 13:53:45", "latest_commit": "2024-07-05 13:57:08", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "Dataset Details Dataset Type:Japanese LLaVA Instruct 150K is a localized version of the original LLaVA Visual Instruct 150K dataset.", "url": "https://huggingface.co./datasets/turing-motors/LLaVA-Instruct-150K-JA", "project_name": "LLaVA-Instruct-150K-JA", "downloads": 90, "source": "Hugging Face", "score": -0.1069790354305149, "first_commit": null, "latest_commit": null, "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "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": -0.1069790354305149, "first_commit": "2022-01-25 16:34:54", "latest_commit": "2023-11-02 14:52:21", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "日本語 gpt2 蒸留モデル このモデルはrinna/japanese-gpt2-meduimを教師として蒸留したものです。 ", "url": "https://huggingface.co./knok/japanese-distilgpt2", "project_name": "japanese-distilgpt2", "downloads": 88, "source": "Hugging Face", "score": -0.10700913495431769, "first_commit": "2022-04-14 09:32:23", "latest_commit": "2022-04-15 06:00:51", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": null }, { "description": "Model Card for Japanese character-level GPT-2 Small Model description This is a Japanese character-level GPT-2 Small (90M parameters) language model pre-trained on Japanese Wikipedia, the Japanese portion of CC-100, and the Japanese portion of OSCAR.", "url": "https://huggingface.co./ku-nlp/gpt2-small-japanese-char", "project_name": "gpt2-small-japanese-char", "downloads": 88, "source": "Hugging Face", "score": -0.10700913495431769, "first_commit": "2023-04-18 08:24:55", "latest_commit": "2023-05-08 10:08:13", "languages": [], "model_or_dataset": "model", "model_size": 0.10300000000000001, "model_architectures": "GPT2LMHeadModel" }, { "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": -0.10702418471621908, "first_commit": "2022-04-20 16:34:22", "latest_commit": "2022-04-21 02:28:13", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "AlbertForMaskedLM" }, { "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": -0.10702418471621908, "first_commit": "2024-03-07 14:56:51", "latest_commit": "2024-03-07 19:33:53", "languages": [], "model_or_dataset": "model", "model_size": 14.5, "model_architectures": null }, { "description": "日本語T5事前学習済みモデル This is a T5 (Text-to-Text Transfer Transformer) model pretrained on Japanese corpus. ", "url": "https://huggingface.co./sonoisa/t5-base-japanese-v1.1", "project_name": "t5-base-japanese-v1.1", "downloads": 84, "source": "Hugging Face", "score": -0.10706933400192326, "first_commit": "2022-08-12 15:41:28", "latest_commit": "2022-08-27 09:21:01", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "T5ForConditionalGeneration" }, { "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": -0.10709943352572604, "first_commit": "2023-04-26 08:26:19", "latest_commit": "2023-05-10 10:01:16", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "T5ForConditionalGeneration" }, { "description": "sonoisa/t5-base-japaneseをファインチューニングして、タイトル生成に用いれるようにしたモデルです。 ", "url": "https://huggingface.co./Mizuiro-sakura/t5-CAMERA-title-generation", "project_name": "t5-CAMERA-title-generation", "downloads": 81, "source": "Hugging Face", "score": -0.10711448328762743, "first_commit": "2023-03-21 10:49:27", "latest_commit": "2023-07-21 14:11:13", "languages": [], "model_or_dataset": "model", "model_size": 0.223, "model_architectures": "T5ForConditionalGeneration" }, { "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": -0.10712953304952882, "first_commit": "2023-01-15 23:38:30", "latest_commit": "2023-07-21 14:11:02", "languages": [], "model_or_dataset": "model", "model_size": 0.132, "model_architectures": "LukeForQuestionAnswering" }, { "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": -0.10712953304952882, "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, "model_architectures": "LlamaForCausalLM" }, { "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": -0.10712953304952882, "first_commit": "2024-01-16 12:19:08", "latest_commit": "2024-03-26 10:08:09", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "OrionForCausalLM" }, { "description": "Dataset overview This dataset identifies whether a GitHub repository description pertains to Japanese natural language processing (NLP).", "url": "https://huggingface.co./datasets/taishi-i/awesome-japanese-nlp-classification-dataset", "project_name": "awesome-japanese-nlp-classification-dataset", "downloads": 80, "source": "Hugging Face", "score": -0.10712953304952882, "first_commit": "2023-09-09 06:37:36", "latest_commit": "2023-09-09 20:09:04", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "recruit-jp/japanese-typo-detector-roberta-base モデルの概要 日本語の文章を入力すると各文字ごとに誤字脱字である確率を出力します 各ラベルの意味は以下の通りです id label meaning 0 OK 誤字なし 1 deletion 1文字の抜け 2 insertion_a 余分な1文字の挿入 3 insertion_b 直前の文字列と一致する２文字以上の余分な文字の挿入 4 kanji-conversion_a 同一の読みを持つ漢字の入れ替え（誤変換） 5 kanji-conversion_b 近い読みを持つ漢字の入れ替え（誤変換） 6 substitution 1文字の入れ替え 7 transposition 隣接する２文字間の転置 8 others その他の入力誤り 誤り種類の詳細については学習データセットの元論文をご参照ください 日本語 Wikipedia の編集履歴に基づく 入力誤りデータセットと訂正システムの改良 その他、モデルの詳細については当社ブログ記事をご参照ください 誤字脱字検出モデルをHugging Face Hubに公開しました (Re", "url": "https://huggingface.co./recruit-jp/japanese-typo-detector-roberta-base", "project_name": "japanese-typo-detector-roberta-base", "downloads": 78, "source": "Hugging Face", "score": -0.10715963257333161, "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, "model_architectures": "RobertaForTokenClassification" }, { "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": -0.1071897320971344, "first_commit": "2022-12-22 17:22:14", "latest_commit": "2023-06-27 03:44:17", "languages": [], "model_or_dataset": "model", "model_size": 0.124, "model_architectures": "BertForMaskedLM" }, { "description": "Wikipediaを用いた日本語の固有表現抽出データセット GitHub: https://github.com/stockmarkteam/ner-wikipedia-dataset/ LICENSE: CC-BY-SA 3.0 Developed by Stockmark Inc.", "url": "https://huggingface.co./datasets/stockmark/ner-wikipedia-dataset", "project_name": "ner-wikipedia-dataset", "downloads": 75, "source": "Hugging Face", "score": -0.10720478185903579, "first_commit": "2023-09-02 14:38:55", "latest_commit": "2023-09-02 14:42:18", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "Orion-14B 🌐English | 🇨", "url": "https://huggingface.co./OrionStarAI/Orion-14B-LongChat", "project_name": "Orion-14B-LongChat", "downloads": 74, "source": "Hugging Face", "score": -0.10721983162093718, "first_commit": "2024-01-19 07:15:36", "latest_commit": "2024-03-26 10:10:34", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "OrionForCausalLM" }, { "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": -0.10721983162093718, "first_commit": "2024-05-12 15:48:46", "latest_commit": "2024-05-13 16:34:02", "languages": [], "model_or_dataset": "model", "model_size": 0.09509999999999999, "model_architectures": "GPT2LMHeadModel" }, { "description": "概要 elyza/Llama-3-ELYZA-JP-8Bを元にchat vectorを用いて改良しAItuberに特化させました。 ", "url": "https://huggingface.co./DataPilot/Llama3-ArrowSE-8B-v0.3", "project_name": "Llama3-ArrowSE-8B-v0.3", "downloads": 74, "source": "Hugging Face", "score": -0.10721983162093718, "first_commit": "2024-07-06 15:39:54", "latest_commit": "2024-07-07 14:18:02", "languages": [], "model_or_dataset": "model", "model_size": 8.03, "model_architectures": "LlamaForCausalLM" }, { "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": -0.10723488138283857, "first_commit": "2024-07-21 14:13:34", "latest_commit": "2024-07-25 05:16:28", "languages": [], "model_or_dataset": "model", "model_size": 70.6, "model_architectures": "LlamaForCausalLM" }, { "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": -0.10726498090664136, "first_commit": "2024-05-29 12:32:29", "latest_commit": "2024-05-29 13:51:31", "languages": [], "model_or_dataset": "model", "model_size": 7.24, "model_architectures": "MistralForCausalLM" }, { "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": -0.10728003066854275, "first_commit": "2024-02-27 13:48:02", "latest_commit": "2024-02-27 13:59:23", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "VideoBlipForConditionalGeneration" }, { "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": -0.10729508043044414, "first_commit": "2024-04-04 03:56:52", "latest_commit": "2024-04-07 15:18:37", "languages": [], "model_or_dataset": "model", "model_size": 35.0, "model_architectures": "CohereForCausalLM" }, { "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": -0.10729508043044414, "first_commit": "2024-06-29 03:03:03", "latest_commit": "2024-06-29 03:40:34", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "GPT2LMHeadModel" }, { "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": -0.10731013019234553, "first_commit": "2023-06-09 15:19:12", "latest_commit": "2023-06-09 16:08:47", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "OpenLlamaForCausalLM" }, { "description": "[EZO model card]", "url": "https://huggingface.co./AXCXEPT/EZO-InternVL2-26B", "project_name": "EZO-InternVL2-26B", "downloads": 68, "source": "Hugging Face", "score": -0.10731013019234553, "first_commit": "2024-08-19 08:03:55", "latest_commit": "2024-08-23 10:56:47", "languages": [], "model_or_dataset": "model", "model_size": 25.5, "model_architectures": "InternVLChatModel" }, { "description": "このデータセットについて このデータは、日本の官公庁のWebサイトに掲載されている「よくある質問」を手作業で抽出し、インストラクション用のデータセットとしたものです。 ", "url": "https://huggingface.co./datasets/matsuxr/JaGovFaqs-22k", "project_name": "JaGovFaqs-22k", "downloads": 68, "source": "Hugging Face", "score": -0.10731013019234553, "first_commit": "2023-12-31 13:58:41", "latest_commit": "2024-02-29 02:51:20", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "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": -0.10732517995424692, "first_commit": "2023-12-20 05:37:09", "latest_commit": "2023-12-26 11:45:15", "languages": [], "model_or_dataset": "model", "model_size": 13.3, "model_architectures": null }, { "description": "Heron GIT Japanese StableLM", "url": "https://huggingface.co./turing-motors/heron-chat-git-ja-stablelm-base-7b-v1", "project_name": "heron-chat-git-ja-stablelm-base-7b-v1", "downloads": 67, "source": "Hugging Face", "score": -0.10732517995424692, "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, "model_architectures": "GitJapaneseStableLMAlphaForCausalLM" }, { "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": -0.10734022971614832, "first_commit": "2023-09-26 06:16:23", "latest_commit": "2023-09-28 00:02:06", "languages": [], "model_or_dataset": "model", "model_size": 1.17, "model_architectures": "GPTNeoXForCausalLM" }, { "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": -0.1073703292399511, "first_commit": "2023-05-08 10:10:43", "latest_commit": "2023-05-10 00:32:23", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "Wav2Vec2ForAudioFrameClassification" }, { "description": "Japanese-LLaMA-2-7B-GGUF Japanese-LLaMA-2-7B-GGUFはJapanese-LLaMA-2-7BのGGUF形式です。 ", "url": "https://huggingface.co./owner203/japanese-llama-2-7b-gguf", "project_name": "japanese-llama-2-7b-gguf", "downloads": 62, "source": "Hugging Face", "score": -0.10740042876375389, "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, "model_architectures": null }, { "description": "Japanese-Alpaca-2-13B-GGUF Japanese-Alpaca-2-13B-GGUFはJapanese-Alpaca-2-13BのGGUF形式です。 ", "url": "https://huggingface.co./owner203/japanese-alpaca-2-13b-gguf", "project_name": "japanese-alpaca-2-13b-gguf", "downloads": 62, "source": "Hugging Face", "score": -0.10740042876375389, "first_commit": "2023-12-20 10:56:08", "latest_commit": "2023-12-26 11:46:41", "languages": [], "model_or_dataset": "model", "model_size": 13.3, "model_architectures": null }, { "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": -0.10741547852565528, "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, "model_architectures": null }, { "description": "range3/cc100-ja This dataset consists of parquet files from the cc100 dataset with only the Japanese language extracted and sharded.", "url": "https://huggingface.co./datasets/range3/cc100-ja", "project_name": "cc100-ja", "downloads": 61, "source": "Hugging Face", "score": -0.10741547852565528, "first_commit": "2023-02-04 05:10:34", "latest_commit": "2023-02-04 05:43:32", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "AutoWikiQA 東工大が公開しているSwallow-MXを用いて、Wikipedia中のテキストを入力として「質問(query)」と「回答(answer)」を生成し、生成された質問と回答についてフィルタリングを行ったデータセットです。", "url": "https://huggingface.co./datasets/cl-nagoya/auto-wiki-qa", "project_name": "auto-wiki-qa", "downloads": 61, "source": "Hugging Face", "score": -0.10741547852565528, "first_commit": "2024-03-28 01:33:42", "latest_commit": "2024-04-20 12:17:33", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "Kanji Diffusion v1-4 Model Card Kanji Diffusion is a latent text-to-image diffusion model capable of hallucinating Kanji characters given any English prompt.", "url": "https://huggingface.co./yashvoladoddi37/kanji-diffusion-v1-4", "project_name": "kanji-diffusion-v1-4", "downloads": 60, "source": "Hugging Face", "score": -0.10743052828755667, "first_commit": "2024-08-13 06:06:21", "latest_commit": "2024-08-16 12:14:22", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": 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": 60, "source": "Hugging Face", "score": -0.10743052828755667, "first_commit": "2022-05-08 03:05:08", "latest_commit": "2022-05-08 03:29:28", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "BertModel" }, { "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": -0.10743052828755667, "first_commit": "2024-04-27 04:32:20", "latest_commit": "2024-05-19 03:22:08", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "Oumuamua-7b-instruct-v2 🚨 If you want to avoid outputs that appear to be literal translations, please prompt this model to role-play as a Japanese person.", "url": "https://huggingface.co./nitky/Oumuamua-7b-instruct-v2", "project_name": "Oumuamua-7b-instruct-v2", "downloads": 59, "source": "Hugging Face", "score": -0.10744557804945806, "first_commit": "2024-06-14 07:08:07", "latest_commit": "2024-06-19 22:29:07", "languages": [], "model_or_dataset": "model", "model_size": 7.33, "model_architectures": "MistralForCausalLM" }, { "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": -0.10747567757326085, "first_commit": "2021-03-27 02:27:05", "latest_commit": "2021-09-27 20:50:17", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "GPT2LMHeadModel" }, { "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": -0.10747567757326085, "first_commit": "2023-12-26 06:22:59", "latest_commit": "2023-12-26 09:22:34", "languages": [], "model_or_dataset": "model", "model_size": 7.24, "model_architectures": "MistralForCausalLM" }, { "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": -0.10747567757326085, "first_commit": "2022-12-11 03:41:07", "latest_commit": "2024-07-12 00:00:07", "languages": [], "model_or_dataset": "model", "model_size": 0.11, "model_architectures": "RobertaForQuestionAnswering" }, { "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": -0.10747567757326085, "first_commit": "2021-09-06 10:13:42", "latest_commit": "2023-07-04 07:05:38", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "T5ForConditionalGeneration" }, { "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": -0.10747567757326085, "first_commit": "2024-01-19 06:59:08", "latest_commit": "2024-03-04 05:24:31", "languages": [], "model_or_dataset": "model", "model_size": 13.1, "model_architectures": "LlamaForCausalLM" }, { "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": -0.10749072733516224, "first_commit": "2023-04-26 08:27:09", "latest_commit": "2023-05-10 10:00:12", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "T5ForConditionalGeneration" }, { "description": "モデル概要 このモデルは、 sonoisa/sentence-luke-japanese-base-lite をSNS上のコメントに人手で攻撃性評価を行ったデータセットでFine-tuningすることで作成しました。 ", "url": "https://huggingface.co./TomokiFujihara/luke-japanese-base-lite-offensiveness-estimation", "project_name": "luke-japanese-base-lite-offensiveness-estimation", "downloads": 56, "source": "Hugging Face", "score": -0.10749072733516224, "first_commit": "2023-12-08 03:20:14", "latest_commit": "2024-03-24 12:35:36", "languages": [], "model_or_dataset": "model", "model_size": 0.133, "model_architectures": "OffensivenessEstimationModel" }, { "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": -0.10749072733516224, "first_commit": "2024-06-13 03:23:05", "latest_commit": "2024-06-15 14:58:10", "languages": [], "model_or_dataset": "model", "model_size": 7.62, "model_architectures": "Qwen2ForCausalLM" }, { "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": -0.10749072733516224, "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, "model_architectures": "LlamaForCausalLM" }, { "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": -0.10749072733516224, "first_commit": "2024-03-07 06:38:01", "latest_commit": "2024-03-07 06:48:27", "languages": [], "model_or_dataset": "model", "model_size": 6.95, "model_architectures": 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": 56, "source": "Hugging Face", "score": -0.10749072733516224, "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, "model_architectures": "LlamaForCausalLM" }, { "description": "bert-base-japanese-v3-jcommonsenseqa 「大規模言語モデル入門」の第5章で紹介している(多肢選択式質問応答)のモデルです。 ", "url": "https://huggingface.co./llm-book/bert-base-japanese-v3-jcommonsenseqa", "project_name": "bert-base-japanese-v3-jcommonsenseqa", "downloads": 56, "source": "Hugging Face", "score": -0.10749072733516224, "first_commit": "2023-06-20 07:01:53", "latest_commit": "2023-07-24 06:49:16", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "BertForMultipleChoice" }, { "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": -0.10750577709706363, "first_commit": "2023-07-07 05:53:52", "latest_commit": "2023-07-07 17:56:03", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": null }, { "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": -0.10750577709706363, "first_commit": "2022-01-27 08:08:53", "latest_commit": "2022-02-04 02:39:25", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "BertForQuestionAnswering" }, { "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": -0.10752082685896502, "first_commit": "2023-03-31 02:28:09", "latest_commit": "2023-03-31 13:13:37", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "BertForSequenceClassification" }, { "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": -0.10753587662086642, "first_commit": "2023-06-03 12:51:12", "latest_commit": "2023-06-20 10:49:17", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "BigBirdForMaskedLM" }, { "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": -0.10753587662086642, "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, "model_architectures": "BertForMaskedLM" }, { "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": -0.10753587662086642, "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, "model_architectures": "EncoderDecoderModel" }, { "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": -0.10755092638276781, "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, "model_architectures": "GPTNeoXForCausalLM" }, { "description": "自動生成Q&A データソースから､MaziyarPanahi/Mixtral-8x22B-Instruct-v0.1-GGUFを使ってQ&Aを自動生成したものです｡ Common Crawlをもとに生成しています。 ", "url": "https://huggingface.co./datasets/hatakeyama-llm-team/AutoGeneratedJapaneseQA-CC", "project_name": "AutoGeneratedJapaneseQA-CC", "downloads": 51, "source": "Hugging Face", "score": -0.1075659761446692, "first_commit": "2024-05-18 03:55:41", "latest_commit": "2024-05-19 09:25:43", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": 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": 50, "source": "Hugging Face", "score": -0.1075810259065706, "first_commit": "2023-09-26 06:15:31", "latest_commit": "2023-09-29 03:09:03", "languages": [], "model_or_dataset": "model", "model_size": 0.625, "model_architectures": "GPT2LMHeadModel" }, { "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": -0.1075810259065706, "first_commit": "2023-09-26 06:15:16", "latest_commit": "2023-09-29 03:19:23", "languages": [], "model_or_dataset": "model", "model_size": 0.446, "model_architectures": "GPT2LMHeadModel" }, { "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": -0.1075810259065706, "first_commit": "2023-09-14 04:15:52", "latest_commit": "2024-06-03 05:10:11", "languages": [], "model_or_dataset": "model", "model_size": 0.111, "model_architectures": "VisionEncoderDecoderModel" }, { "description": "japanese-large-lm-3.6b-instruction-sft-4bit-32g-actorder_False", "url": "https://huggingface.co./line-corporation/japanese-large-lm-3.6b-instruction-sft-4bit-32g-actorder_False", "project_name": "japanese-large-lm-3.6b-instruction-sft-4bit-32g-actorder_False", "downloads": 49, "source": "Hugging Face", "score": -0.10759607566847199, "first_commit": "2023-09-26 06:15:51", "latest_commit": "2023-09-27 23:56:05", "languages": [], "model_or_dataset": "model", "model_size": 0.861, "model_architectures": "GPTNeoXForCausalLM" }, { "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": -0.10759607566847199, "first_commit": "2022-10-15 06:04:06", "latest_commit": "2022-10-21 15:56:38", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "RobertaForMaskedLM" }, { "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": -0.10759607566847199, "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, "model_architectures": "MistralForCausalLM" }, { "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": -0.10759607566847199, "first_commit": "2023-08-16 23:49:58", "latest_commit": "2023-11-17 03:57:41", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "JapaneseInstructBlipAlphaForConditionalGeneration" }, { "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": -0.10759607566847199, "first_commit": "2021-10-13 15:30:14", "latest_commit": "2021-10-26 01:19:59", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "GPT2LMHeadModel" }, { "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": -0.10759607566847199, "first_commit": "2022-09-04 14:31:06", "latest_commit": "2022-10-04 23:36:27", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "RobertaForMaskedLM" }, { "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": -0.10761112543037338, "first_commit": "2024-02-20 11:32:57", "latest_commit": "2024-02-27 13:57:20", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "VideoBlipForConditionalGeneration" }, { "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": -0.10761112543037338, "first_commit": "2023-06-06 08:21:13", "latest_commit": "2023-07-24 07:12:05", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "BertModel" }, { "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": -0.10761112543037338, "first_commit": "2020-08-19 00:28:58", "latest_commit": "2023-08-16 11:59:12", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "MarianMTModel" }, { "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": -0.10762617519227477, "first_commit": "2022-10-14 07:50:13", "latest_commit": "2022-10-18 12:13:20", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "BertForSequenceClassification" }, { "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": -0.10762617519227477, "first_commit": "2024-04-24 16:21:32", "latest_commit": "2024-05-01 07:41:46", "languages": [], "model_or_dataset": "model", "model_size": 3.82, "model_architectures": "Phi3ForCausalLM" }, { "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": -0.10764122495417616, "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, "model_architectures": "MixtralForCausalLM" }, { "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": -0.10764122495417616, "first_commit": "2024-07-03 13:21:22", "latest_commit": "2024-07-03 13:53:20", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "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": -0.10765627471607755, "first_commit": null, "latest_commit": null, "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": null }, { "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": -0.10765627471607755, "first_commit": "2023-08-10 06:04:58", "latest_commit": "2023-11-28 13:35:07", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "LukeForMaskedLM" }, { "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": -0.10765627471607755, "first_commit": "2024-08-16 16:46:49", "latest_commit": "2024-08-19 02:56:14", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "BertForMaskedLM" }, { "description": "📄 ライセンス / License 修正 CreativeML OpenRAIL-M ライセンス / Modified CreativeML OpenRAIL-M license このモデルのクレジットを入れずに使用する Use the model without crediting the creator このモデルで生成した画像を商用利用する Sell images they generate このモデルを商用の画像生成サービスで利用する Run on services that generate images for money このモデルを使用したマージモデルを共有する Share merges using this model このモデル、またはこのモデルをマージしたモデルを販売する Sell this model or merges using this model このモデルをマージしたモデルに異なる権限を設定する Have different permissions when sharing merges", "url": "https://huggingface.co./natsusakiyomi/AsagaoMix", "project_name": "AsagaoMix", "downloads": 45, "source": "Hugging Face", "score": -0.10765627471607755, "first_commit": "2023-07-29 03:42:53", "latest_commit": "2023-08-25 07:32:49", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": 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": 45, "source": "Hugging Face", "score": -0.10765627471607755, "first_commit": "2022-11-15 05:14:35", "latest_commit": "2023-02-13 10:26:12", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "GPT2LMHeadModel" }, { "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": -0.10765627471607755, "first_commit": "2022-05-10 08:37:48", "latest_commit": "2022-10-21 14:48:46", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "RobertaForMaskedLM" }, { "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": -0.10765627471607755, "first_commit": "2024-05-19 02:45:59", "latest_commit": "2024-05-19 14:17:58", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": 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": 45, "source": "Hugging Face", "score": -0.10765627471607755, "first_commit": "2024-03-21 02:24:27", "latest_commit": "2024-03-21 12:40:15", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "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": -0.10767132447797895, "first_commit": "2023-09-26 06:14:25", "latest_commit": "2023-09-27 01:23:34", "languages": [], "model_or_dataset": "model", "model_size": 0.487, "model_architectures": "GPT2LMHeadModel" }, { "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": -0.10767132447797895, "first_commit": "2023-12-27 11:18:45", "latest_commit": "2023-12-27 12:07:30", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "GPT2LMHeadModel" }, { "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": -0.10768637423988034, "first_commit": "2023-11-02 15:45:24", "latest_commit": "2023-11-02 20:04:07", "languages": [], "model_or_dataset": "model", "model_size": 9.1, "model_architectures": "LlamaForCausalLM" }, { "description": "Japanese-LLaMA-3-8B-Instruct-v2-GGUF Japanese-LLaMA-3-8B-Instruct-v2-GGUFはJapanese-LLaMA-3-8B-Instruct-v2のGGUF形式です。 ", "url": "https://huggingface.co./owner203/japanese-llama-3-8b-instruct-v2-gguf", "project_name": "japanese-llama-3-8b-instruct-v2-gguf", "downloads": 42, "source": "Hugging Face", "score": -0.10770142400178173, "first_commit": "2024-06-10 11:21:01", "latest_commit": "2024-06-21 06:35:03", "languages": [], "model_or_dataset": "model", "model_size": 8.03, "model_architectures": null }, { "description": "Danbooru2023:", "url": "https://huggingface.co./datasets/nyanko7/danbooru2023", "project_name": "danbooru2023", "downloads": 42, "source": "Hugging Face", "score": -0.10770142400178173, "first_commit": "2024-01-07 19:51:58", "latest_commit": "2024-05-22 18:43:24", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "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": -0.10770142400178173, "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_architectures": 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": 42, "source": "Hugging Face", "score": -0.10770142400178173, "first_commit": "2024-07-16 08:12:30", "latest_commit": "2024-07-28 12:33:15", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "cosmopedia-100k のindex 20k ～ 100k を日本語に自動翻訳したデータになります（テキストが長すぎて翻訳エラーになったレコードは除外しています）。", "url": "https://huggingface.co./datasets/kunishou/cosmopedia-100k-ja-preview", "project_name": "cosmopedia-100k-ja-preview", "downloads": 42, "source": "Hugging Face", "score": -0.10770142400178173, "first_commit": "2024-02-28 07:58:55", "latest_commit": "2024-03-05 23:30:38", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "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": -0.10771647376368312, "first_commit": "2021-11-15 17:39:41", "latest_commit": "2022-12-09 00:43:19", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "ElectraForPreTraining" }, { "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": -0.10771647376368312, "first_commit": "2023-10-24 14:10:27", "latest_commit": "2023-10-26 04:22:46", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": null }, { "description": "Wikipedia日本語版データセット(izumi-lab/wikipedia-ja-20230720)", "url": "https://huggingface.co./datasets/shi3z/Japanese_Wikipedia_Conversation", "project_name": "Japanese_Wikipedia_Conversation", "downloads": 41, "source": "Hugging Face", "score": -0.10771647376368312, "first_commit": "2023-11-10 07:36:40", "latest_commit": "2023-11-10 22:46:29", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": 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": 39, "source": "Hugging Face", "score": -0.10774657328748591, "first_commit": "2022-10-15 05:40:40", "latest_commit": "2022-10-21 15:55:27", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "RobertaForMaskedLM" }, { "description": "alabnii/jmedroberta-base-manbyo-wordpiece-vocab50000 Model description This is a Japanese RoBERTa base model pre-trained on academic articles in medical sciences collected by Japan Science and Technology Agency (JST).", "url": "https://huggingface.co./alabnii/jmedroberta-base-manbyo-wordpiece-vocab50000", "project_name": "jmedroberta-base-manbyo-wordpiece-vocab50000", "downloads": 39, "source": "Hugging Face", "score": -0.10774657328748591, "first_commit": "2022-12-22 17:19:15", "latest_commit": "2023-03-08 01:47:12", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "BertForMaskedLM" }, { "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": -0.10774657328748591, "first_commit": "2024-05-21 12:11:38", "latest_commit": "2024-05-24 15:11:43", "languages": [], "model_or_dataset": "model", "model_size": 7.24, "model_architectures": "MistralForCausalLM" }, { "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": -0.1077616230493873, "first_commit": "2024-04-24 02:26:58", "latest_commit": "2024-06-03 01:02:33", "languages": [], "model_or_dataset": "model", "model_size": 1.1, "model_architectures": "LlamaForCausalLM" }, { "description": "bert-base-japanese-v3-bpr-passage-aio 「大規模言語モデル入門」の第9章で紹介している文書検索モデルBPRのパッセージエンコーダです。 ", "url": "https://huggingface.co./llm-book/bert-base-japanese-v3-bpr-passage-aio", "project_name": "bert-base-japanese-v3-bpr-passage-aio", "downloads": 37, "source": "Hugging Face", "score": -0.10777667281128869, "first_commit": "2023-06-06 08:22:28", "latest_commit": "2023-07-24 07:14:59", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "BertModel" }, { "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": -0.10777667281128869, "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, "model_architectures": "Data2VecAudioModel" }, { "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": -0.10777667281128869, "first_commit": "2024-07-26 21:06:54", "latest_commit": "2024-07-26 21:37:02", "languages": [], "model_or_dataset": "model", "model_size": 11.0, "model_architectures": "LlamaForCausalLM" }, { "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": -0.10777667281128869, "first_commit": "2021-03-21 19:07:13", "latest_commit": "2022-05-26 13:50:56", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "MT5ForConditionalGeneration" }, { "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": -0.10777667281128869, "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_architectures": null }, { "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": -0.10779172257319009, "first_commit": "2024-04-05 07:26:29", "latest_commit": "2024-05-17 11:42:00", "languages": [], "model_or_dataset": "model", "model_size": 1.3, "model_architectures": "GPT2LMHeadModel" }, { "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": -0.10780677233509148, "first_commit": "2024-05-20 13:04:23", "latest_commit": "2024-05-24 15:10:41", "languages": [], "model_or_dataset": "model", "model_size": 7.24, "model_architectures": "MistralForCausalLM" }, { "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": -0.10780677233509148, "first_commit": "2024-03-26 06:08:27", "latest_commit": "2024-04-02 04:46:10", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "llm-japanese-dataset-vanilla LLM構築用の日本語チャットデータセット izumi-lab/llm-japanese-dataset から，日英翻訳のデータセット等を抜いたものです． ", "url": "https://huggingface.co./datasets/izumi-lab/llm-japanese-dataset-vanilla", "project_name": "llm-japanese-dataset-vanilla", "downloads": 35, "source": "Hugging Face", "score": -0.10780677233509148, "first_commit": "2023-05-23 14:45:27", "latest_commit": "2024-02-17 16:17:18", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": 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", "downloads": 34, "source": "Hugging Face", "score": -0.10782182209699287, "first_commit": "2021-04-21 11:28:11", "latest_commit": "2021-05-18 22:55:03", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "BertForSequenceClassification" }, { "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": -0.10782182209699287, "first_commit": "2020-08-19 00:29:11", "latest_commit": "2023-08-16 11:59:16", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "MarianMTModel" }, { "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": -0.10782182209699287, "first_commit": "2024-03-05 13:46:13", "latest_commit": "2024-03-06 08:34:02", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "Heron BLIP Japanese StableLM", "url": "https://huggingface.co./turing-motors/heron-chat-blip-ja-stablelm-base-7b-v0", "project_name": "heron-chat-blip-ja-stablelm-base-7b-v0", "downloads": 33, "source": "Hugging Face", "score": -0.10783687185889426, "first_commit": "2023-09-06 09:31:44", "latest_commit": "2023-09-07 16:59:14", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "VideoBlipForConditionalGeneration" }, { "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": -0.10783687185889426, "first_commit": "2024-02-02 12:39:11", "latest_commit": "2024-02-03 00:28:28", "languages": [], "model_or_dataset": "model", "model_size": 1.88, "model_architectures": "MistralForEmbedding" }, { "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": -0.10783687185889426, "first_commit": "2023-06-19 12:31:46", "latest_commit": "2023-10-25 15:22:46", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "cyberagent/calm2-7b-chatの出力を人手でチェック・修正することで作成した日本語Instructionデータセットです。 ", "url": "https://huggingface.co./datasets/Kendamarron/jimba-instuction-1k-beta", "project_name": "jimba-instuction-1k-beta", "downloads": 33, "source": "Hugging Face", "score": -0.10783687185889426, "first_commit": "2024-02-29 15:23:48", "latest_commit": "2024-04-25 12:49:28", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "This is a little bit different version of kunishou/hh-rlhf-49k-ja without ng_translation == 1 examples.", "url": "https://huggingface.co./datasets/fujiki/japanese_hh-rlhf-49k", "project_name": "japanese_hh-rlhf-49k", "downloads": 33, "source": "Hugging Face", "score": -0.10783687185889426, "first_commit": "2023-05-28 05:55:53", "latest_commit": "2023-05-28 06:08:04", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "Synthetic-Japanese-Roleplay-gpt-4o-mini-19.8k 概要 gpt-4o-miniを用いて作成した、約19800件の日本語ロールプレイの対話を収録した合成データセットです。", "url": "https://huggingface.co./datasets/Aratako/Synthetic-Japanese-Roleplay-gpt-4o-mini-19.8k", "project_name": "Synthetic-Japanese-Roleplay-gpt-4o-mini-19.8k", "downloads": 33, "source": "Hugging Face", "score": -0.10783687185889426, "first_commit": "2024-08-16 14:35:16", "latest_commit": "2024-08-16 16:45:26", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "Model Card for Model ID このモデルはrinna/japanese-gpt-1bをベースモデルとして、 コンテキストからの抽出型QAと、解答を新たなコンテキストでリファインするための学習を行ったモデルです。 ", "url": "https://huggingface.co./oshizo/qa-refine-japanese-gpt-1b", "project_name": "qa-refine-japanese-gpt-1b", "downloads": 32, "source": "Hugging Face", "score": -0.10785192162079565, "first_commit": "2023-01-18 15:43:39", "latest_commit": "2023-01-19 10:14:36", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "GPT2LMHeadModel" }, { "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": -0.10785192162079565, "first_commit": "2024-01-03 04:58:17", "latest_commit": "2024-01-03 07:09:05", "languages": [], "model_or_dataset": "model", "model_size": 0.41400000000000003, "model_architectures": "LukeForSequenceClassification" }, { "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": -0.10785192162079565, "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, "model_architectures": "LlamaForCausalLM" }, { "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": -0.10785192162079565, "first_commit": "2024-04-16 03:06:14", "latest_commit": "2024-04-20 09:14:10", "languages": [], "model_or_dataset": "model", "model_size": 46.9, "model_architectures": "MixtralForCausalLM" }, { "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": -0.10785192162079565, "first_commit": "2023-12-19 08:11:51", "latest_commit": "2024-07-20 08:29:58", "languages": [], "model_or_dataset": "model", "model_size": 14.2, "model_architectures": 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": 32, "source": "Hugging Face", "score": -0.10785192162079565, "first_commit": "2022-09-08 09:09:39", "latest_commit": "2022-11-01 07:20:52", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "BertForSequenceClassification" }, { "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": -0.10785192162079565, "first_commit": "2024-07-07 11:08:34", "latest_commit": "2024-07-07 11:13:47", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "Mixtral-8x7B-Instruct-v0.1-japanese Mixtral-8x7B-Instruct-v0.1-japaneseはMixtral-8x7B-Instruct-v0.1をベースに日本語の語彙拡張継続事前学習を実施したモデルです。", "url": "https://huggingface.co./abeja/Mixtral-8x7B-Instruct-v0.1-japanese", "project_name": "Mixtral-8x7B-Instruct-v0.1-japanese", "downloads": 31, "source": "Hugging Face", "score": -0.10786697138269705, "first_commit": "2024-04-17 02:56:15", "latest_commit": "2024-04-20 09:14:27", "languages": [], "model_or_dataset": "model", "model_size": 46.9, "model_architectures": "MixtralForCausalLM" }, { "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": -0.10786697138269705, "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, "model_architectures": "MixtralForCausalLM" }, { "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": -0.10786697138269705, "first_commit": "2022-10-30 08:19:13", "latest_commit": "2023-05-16 09:23:49", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": null }, { "description": "mqaデータセットのquery--passageのペアについて重複を削除したデータセットです。 ", "url": "https://huggingface.co./datasets/hpprc/mqa-ja", "project_name": "mqa-ja", "downloads": 31, "source": "Hugging Face", "score": -0.10786697138269705, "first_commit": "2024-04-07 06:23:02", "latest_commit": "2024-04-07 15:16:42", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "日本語T5 Prefix Language Model", "url": "https://huggingface.co./sonoisa/t5-base-japanese-adapt", "project_name": "t5-base-japanese-adapt", "downloads": 30, "source": "Hugging Face", "score": -0.10788202114459844, "first_commit": "2022-08-27 08:51:11", "latest_commit": "2022-11-05 09:34:10", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "T5ForConditionalGeneration" }, { "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": -0.10788202114459844, "first_commit": "2024-02-15 22:45:08", "latest_commit": "2024-04-16 22:32:15", "languages": [], "model_or_dataset": "model", "model_size": 6.95, "model_architectures": "LlamaForCausalLM" }, { "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": -0.10788202114459844, "first_commit": "2024-04-16 07:54:14", "latest_commit": "2024-04-20 09:14:59", "languages": [], "model_or_dataset": "model", "model_size": 46.9, "model_architectures": "MixtralForCausalLM" }, { "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": -0.10788202114459844, "first_commit": "2021-12-27 11:57:10", "latest_commit": "2022-07-31 07:54:13", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "T5Model" }, { "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": -0.10788202114459844, "first_commit": "2024-02-02 06:36:01", "latest_commit": "2024-02-13 15:19:49", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": 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": 29, "source": "Hugging Face", "score": -0.10789707090649983, "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, "model_architectures": "MistralForCausalLM" }, { "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": -0.10789707090649983, "first_commit": "2024-07-31 15:15:16", "latest_commit": "2024-08-04 09:35:48", "languages": [], "model_or_dataset": "model", "model_size": 0.09509999999999999, "model_architectures": null }, { "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": -0.10789707090649983, "first_commit": "2023-12-19 08:11:08", "latest_commit": "2024-07-20 08:38:34", "languages": [], "model_or_dataset": "model", "model_size": 7.72, "model_architectures": null }, { "description": "Genji-JP 6B Please check our blog post for more details, samples, evaluations and more: Blogpost Model Description Genji-JP 6B is a model finetuned on our Japanese storytelling dataset based on EleutherAI's GPT-J 6B model.", "url": "https://huggingface.co./NovelAI/genji-jp", "project_name": "genji-jp", "downloads": 29, "source": "Hugging Face", "score": -0.10789707090649983, "first_commit": "2021-11-03 15:07:47", "latest_commit": "2022-08-09 17:36:02", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "GPTJForCausalLM" }, { "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": -0.10791212066840122, "first_commit": "2023-02-13 10:48:22", "latest_commit": "2023-02-15 13:43:48", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "BertForTokenClassification" }, { "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": -0.10791212066840122, "first_commit": "2023-09-06 09:04:40", "latest_commit": "2023-09-11 16:56:39", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "GitLlamaForCausalLM" }, { "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": -0.10791212066840122, "first_commit": "2023-09-12 09:29:10", "latest_commit": "2023-10-02 10:25:36", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "LlamaForCausalLM" }, { "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": -0.10791212066840122, "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, "model_architectures": "GPT2LMHeadModel" }, { "description": "Dataset Details Dataset Type:Japanese LLaVA v1.5", "url": "https://huggingface.co./datasets/turing-motors/LLaVA-v1.5-Instruct-620K-JA", "project_name": "LLaVA-v1.5-Instruct-620K-JA", "downloads": 28, "source": "Hugging Face", "score": -0.10791212066840122, "first_commit": "2024-04-10 05:04:58", "latest_commit": "2024-04-12 09:18:42", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "GPT-Neo 1.3B pre-trained model for Japanese Model Description GPT2/GPT3 like model trained on Japanese.corpus.", "url": "https://huggingface.co./yellowback/gpt-neo-japanese-1.3B", "project_name": "gpt-neo-japanese-1.3B", "downloads": 27, "source": "Hugging Face", "score": -0.10792717043030262, "first_commit": "2021-12-09 08:09:40", "latest_commit": "2021-12-09 17:59:05", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "GPTNeoForCausalLM" }, { "description": "Model card for model ID", "url": "https://huggingface.co./retrieva-jp/t5-xl", "project_name": "t5-xl", "downloads": 27, "source": "Hugging Face", "score": -0.10792717043030262, "first_commit": "2023-04-26 07:19:08", "latest_commit": "2023-05-10 10:01:04", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "T5ForConditionalGeneration" }, { "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": -0.10792717043030262, "first_commit": "2023-05-26 09:38:08", "latest_commit": "2023-07-21 14:10:18", "languages": [], "model_or_dataset": "model", "model_size": 0.336, "model_architectures": "BertForTokenClassification" }, { "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": -0.10792717043030262, "first_commit": "2023-10-06 03:18:28", "latest_commit": "2023-11-20 09:25:16", "languages": [], "model_or_dataset": "model", "model_size": 0.248, "model_architectures": "T5ForConditionalGeneration" }, { "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": -0.10792717043030262, "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, "model_architectures": "LlamaForCausalLM" }, { "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": -0.10792717043030262, "first_commit": "2023-12-19 08:10:42", "latest_commit": "2024-07-20 08:36:15", "languages": [], "model_or_dataset": "model", "model_size": 7.72, "model_architectures": null }, { "description": "モデル説明 (model explanation) V1 = MoeDiffusion 1.0 + (HassanBlend 1.5 - VMix03) * 0.2 V2 = MoeDiffusion 0.6 : HassanBlend 1.5 0.2 : VMix03 : 0.2 マージ元のルーツにNAIリークやInsta系モデルが含まれるという噂があるので、NAIリークアンチ・Insta系モデルアンチには非推奨 理想の黒髪ポニテ顔が出せるYaguruMagikuを、ある程度顔が近くて制御しやすいAbyssOrangeMix2と混ぜてみた。 ", "url": "https://huggingface.co./ThePioneer/MoeDiffusionPlusPlus", "project_name": "MoeDiffusionPlusPlus", "downloads": 27, "source": "Hugging Face", "score": -0.10792717043030262, "first_commit": "2023-01-19 13:04:02", "latest_commit": "2023-01-21 02:05:54", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": 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-sentiment-cyberbullying", "project_name": "bert-base-japanese-sentiment-cyberbullying", "downloads": 27, "source": "Hugging Face", "score": -0.10792717043030262, "first_commit": "2022-09-09 02:16:34", "latest_commit": "2022-11-01 07:18:05", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "BertForSequenceClassification" }, { "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": -0.10794222019220401, "first_commit": "2022-01-12 03:57:13", "latest_commit": "2022-01-16 13:51:28", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "ElectraForSequenceClassification" }, { "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": -0.10794222019220401, "first_commit": "2021-03-28 04:21:20", "latest_commit": "2023-02-08 00:15:23", "languages": [], "model_or_dataset": "model", "model_size": 0.318, "model_architectures": "Wav2Vec2ForCTC" }, { "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": -0.10794222019220401, "first_commit": "2022-06-04 02:30:34", "latest_commit": "2022-06-25 15:36:22", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "GPT2LMHeadModel" }, { "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": -0.10794222019220401, "first_commit": "2022-07-28 11:31:28", "latest_commit": "2022-08-27 09:07:53", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "T5ForConditionalGeneration" }, { "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": -0.10794222019220401, "first_commit": "2023-05-17 04:36:41", "latest_commit": "2023-06-08 00:17:50", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "WhisperForConditionalGeneration" }, { "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": -0.10794222019220401, "first_commit": "2024-02-20 13:41:17", "latest_commit": "2024-02-22 01:11:59", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": 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": 26, "source": "Hugging Face", "score": -0.10794222019220401, "first_commit": "2024-05-13 10:19:52", "latest_commit": "2024-08-09 12:03:25", "languages": [], "model_or_dataset": "model", "model_size": 0.111, "model_architectures": "BertForSequenceClassification" }, { "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": -0.10794222019220401, "first_commit": "2024-03-03 02:29:43", "latest_commit": "2024-03-03 03:17:09", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "Qwen2ForCausalLM" }, { "description": "Deepreneur-blue-lizard Model Description Deepreneur-blue-lizardは、MetaのLlama-2-7bに対して、Wikipediaや書籍等の日本語の学習データを用いて追加事前学習と独自データによるファインチューニングを実施したモデルです。", "url": "https://huggingface.co./Deepreneur/blue-lizard", "project_name": "blue-lizard", "downloads": 26, "source": "Hugging Face", "score": -0.10794222019220401, "first_commit": "2024-02-05 16:29:48", "latest_commit": "2024-02-12 14:43:33", "languages": [], "model_or_dataset": "model", "model_size": 6.74, "model_architectures": "LlamaForCausalLM" }, { "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": -0.10794222019220401, "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, "model_architectures": "LlamaForCausalLM" }, { "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": -0.10794222019220401, "first_commit": "2023-10-11 09:11:41", "latest_commit": "2023-10-14 13:50:54", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "LlamaForCausalLM" }, { "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": -0.10794222019220401, "first_commit": "2023-01-23 06:25:08", "latest_commit": "2023-02-07 15:49:33", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "LukeForSequenceClassification" }, { "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": -0.10794222019220401, "first_commit": "2022-07-05 22:01:16", "latest_commit": "2023-02-27 10:15:35", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "DebertaV2ForMaskedLM" }, { "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": -0.10794222019220401, "first_commit": "2022-03-30 03:34:11", "latest_commit": "2022-03-30 04:28:17", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "GPT2LMHeadModel" }, { "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": -0.10794222019220401, "first_commit": "2024-05-16 02:02:09", "latest_commit": "2024-05-20 01:44:32", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "このモデルはluke-japanese-baseをファインチューニングして、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": -0.1079572699541054, "first_commit": "2023-03-02 03:57:33", "latest_commit": "2023-07-21 14:10:48", "languages": [], "model_or_dataset": "model", "model_size": 0.279, "model_architectures": "LukeForSequenceClassification" }, { "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": -0.1079572699541054, "first_commit": "2023-04-26 08:20:52", "latest_commit": "2023-05-10 10:00:23", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "T5ForConditionalGeneration" }, { "description": "HuggingFaceFW/fineweb-edu-classifierを再現するために、日本語データでtohoku-nlp/bert-base-japanese-v3を学習したモデルです。 ", "url": "https://huggingface.co./Kendamarron/fineweb-edu-classifier-ja-v2", "project_name": "fineweb-edu-classifier-ja-v2", "downloads": 25, "source": "Hugging Face", "score": -0.1079572699541054, "first_commit": "2024-06-14 13:20:22", "latest_commit": "2024-06-14 13:28:08", "languages": [], "model_or_dataset": "model", "model_size": 0.111, "model_architectures": "BertForSequenceClassification" }, { "description": "rinna/nekomata-14b-instruction-gguf Overview The model is the GGUF version of rinna/nekomata-14b-instruction.", "url": "https://huggingface.co./rinna/nekomata-14b-instruction-gguf", "project_name": "nekomata-14b-instruction-gguf", "downloads": 25, "source": "Hugging Face", "score": -0.1079572699541054, "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, "model_architectures": 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": 25, "source": "Hugging Face", "score": -0.1079572699541054, "first_commit": "2022-07-27 20:39:08", "latest_commit": "2024-04-14 18:45:22", "languages": [], "model_or_dataset": "model", "model_size": 1.37, "model_architectures": "M2M100ForConditionalGeneration" }, { "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": -0.1079572699541054, "first_commit": "2021-10-17 14:46:56", "latest_commit": "2022-02-21 13:39:01", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "T5ForConditionalGeneration" }, { "description": "Kendamarron/jimba-wiki-instruction-calm3 grapevine-AI/CALM3-22B-Chat-GGUFのQ4_K_Mを使った合成instructionデータセットです。 ", "url": "https://huggingface.co./datasets/Kendamarron/jimba-wiki-instruction-calm3", "project_name": "jimba-wiki-instruction-calm3", "downloads": 25, "source": "Hugging Face", "score": -0.1079572699541054, "first_commit": "2024-07-09 22:18:35", "latest_commit": "2024-07-20 12:57:05", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": 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", "downloads": 24, "source": "Hugging Face", "score": -0.10797231971600679, "first_commit": "2021-10-17 08:02:54", "latest_commit": "2021-11-10 15:28:57", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "GPTJForCausalLM" }, { "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": -0.10797231971600679, "first_commit": "2022-06-25 03:46:58", "latest_commit": "2023-01-27 17:51:51", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "DebertaV2ForMaskedLM" }, { "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": -0.10797231971600679, "first_commit": "2022-06-19 00:10:56", "latest_commit": "2023-11-05 17:51:08", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "DebertaV2ForQuestionAnswering" }, { "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": -0.10797231971600679, "first_commit": "2023-05-03 04:53:49", "latest_commit": "2023-05-03 09:25:19", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "VisionEncoderDecoderModel" }, { "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": -0.10798736947790818, "first_commit": "2022-04-30 13:57:31", "latest_commit": "2022-05-22 05:51:12", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "T5ForConditionalGeneration" }, { "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": -0.10798736947790818, "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, "model_architectures": "OrionForCausalLM" }, { "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": -0.10798736947790818, "first_commit": "2024-05-06 04:07:19", "latest_commit": "2024-05-06 11:33:32", "languages": [], "model_or_dataset": "model", "model_size": 7.06, "model_architectures": "LlavaLlamaForCausalLM" }, { "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": -0.10798736947790818, "first_commit": "2023-12-24 13:04:27", "latest_commit": "2023-12-24 18:52:04", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "This is for (private) DEMO only.", "url": "https://huggingface.co./Bagus/wav2vec2-xlsr-japanese-speech-emotion-recognition", "project_name": "wav2vec2-xlsr-japanese-speech-emotion-recognition", "downloads": 22, "source": "Hugging Face", "score": -0.10800241923980958, "first_commit": "2021-09-22 04:10:36", "latest_commit": "2023-10-19 01:31:17", "languages": [], "model_or_dataset": "model", "model_size": 0.316, "model_architectures": "HubertForSequenceClassification" }, { "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": -0.10800241923980958, "first_commit": "2022-07-08 13:28:12", "latest_commit": "2023-10-21 14:53:57", "languages": [], "model_or_dataset": "model", "model_size": 0.361, "model_architectures": "GPT2LMHeadModel" }, { "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": -0.10800241923980958, "first_commit": "2022-11-12 15:07:40", "latest_commit": "2023-02-08 09:26:55", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "T5ForConditionalGeneration" }, { "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": -0.10800241923980958, "first_commit": "2023-10-28 20:16:15", "latest_commit": "2023-10-28 15:16:25", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "MistralForCausalLM" }, { "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": -0.10800241923980958, "first_commit": "2023-10-28 19:03:17", "latest_commit": "2023-10-28 20:24:40", "languages": [], "model_or_dataset": "model", "model_size": 1.2, "model_architectures": "MistralForCausalLM" }, { "description": "Japanese DialoGPT trained with Aozora (ja) 青空文庫のセリフで学習した日本語のDialoGPT Smallです(en) Japanese DialoGPT Small trained on Aozora Bunko.", "url": "https://huggingface.co./akiFQC/japanese-dialogpt-small-aozora", "project_name": "japanese-dialogpt-small-aozora", "downloads": 22, "source": "Hugging Face", "score": -0.10800241923980958, "first_commit": "2023-02-08 13:22:24", "latest_commit": "2023-02-09 00:55:31", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "GPT2LMHeadModel" }, { "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": -0.10800241923980958, "first_commit": "2024-01-19 00:32:15", "latest_commit": "2024-07-10 13:41:08", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "BertForSequenceClassification" }, { "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": -0.10801746900171097, "first_commit": "2021-03-05 06:36:24", "latest_commit": "2021-09-23 15:45:39", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "BertForMaskedLM" }, { "description": "yuyuyui-chatbot", "url": "https://huggingface.co./ushikado/yuyuyui-chatbot", "project_name": "yuyuyui-chatbot", "downloads": 21, "source": "Hugging Face", "score": -0.10801746900171097, "first_commit": "2021-05-04 14:52:12", "latest_commit": "2021-05-23 13:27:10", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "GPT2LMHeadModel" }, { "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": -0.10801746900171097, "first_commit": "2023-05-11 08:47:29", "latest_commit": "2023-05-12 02:15:39", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "Wav2Vec2ForCTC" }, { "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": -0.10801746900171097, "first_commit": "2023-05-25 12:35:32", "latest_commit": "2023-05-25 13:35:34", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "LlamaForCausalLM" }, { "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": -0.10801746900171097, "first_commit": "2023-09-06 09:19:59", "latest_commit": "2023-09-11 16:55:23", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "GitJapaneseStableLMAlphaForCausalLM" }, { "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": -0.10801746900171097, "first_commit": "2023-10-18 18:53:58", "latest_commit": "2023-10-20 08:41:20", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": null }, { "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": -0.10801746900171097, "first_commit": "2023-12-07 17:52:29", "latest_commit": "2023-12-07 18:54:23", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "MistralForCausalLM" }, { "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": -0.10801746900171097, "first_commit": "2024-06-02 04:49:31", "latest_commit": "2024-06-02 04:52:45", "languages": [], "model_or_dataset": "model", "model_size": 70.6, "model_architectures": null }, { "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": -0.10801746900171097, "first_commit": "2024-04-30 09:33:26", "latest_commit": "2024-05-01 04:54:26", "languages": [], "model_or_dataset": "model", "model_size": 2.86, "model_architectures": "RetNetForCausalLM" }, { "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": -0.10801746900171097, "first_commit": "2023-09-02 15:15:51", "latest_commit": "2023-09-06 18:42:50", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "GPTJForCausalLM" }, { "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": -0.10801746900171097, "first_commit": "2024-03-26 13:08:14", "latest_commit": "2024-04-01 04:30:44", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": 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": 20, "source": "Hugging Face", "score": -0.10803251876361236, "first_commit": "2024-04-24 10:28:30", "latest_commit": "2024-05-04 04:07:09", "languages": [], "model_or_dataset": "model", "model_size": 7.24, "model_architectures": "MistralForCausalLM" }, { "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": -0.10803251876361236, "first_commit": "2024-03-07 06:50:19", "latest_commit": "2024-03-07 06:51:42", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "LlamaForCausalLM" }, { "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": -0.10803251876361236, "first_commit": "2021-06-30 12:53:09", "latest_commit": "2021-09-23 18:29:58", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": null }, { "description": ", 2023) was trained on.", "url": "https://huggingface.co./datasets/zan/lima-ja", "project_name": "lima-ja", "downloads": 20, "source": "Hugging Face", "score": -0.10803251876361236, "first_commit": "2023-07-08 07:35:34", "latest_commit": "2023-07-08 13:39:45", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "NLLB 1.3B fine-tuned on Japanese to English Light Novel translation This model was fine-tuned on light and web novel for Japanese to English translation.", "url": "https://huggingface.co./thefrigidliquidation/nllb-jaen-1.3B-lightnovels", "project_name": "nllb-jaen-1.3B-lightnovels", "downloads": 19, "source": "Hugging Face", "score": -0.10804756852551375, "first_commit": "2022-10-01 00:43:59", "latest_commit": "2023-06-04 13:38:43", "languages": [], "model_or_dataset": "model", "model_size": 1.37, "model_architectures": "M2M100ForConditionalGeneration" }, { "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": -0.10804756852551375, "first_commit": "2023-05-10 13:22:23", "latest_commit": "2023-07-21 14:10:02", "languages": [], "model_or_dataset": "model", "model_size": 0.339, "model_architectures": "DebertaV2ForTokenClassification" }, { "description": "MPT-7B-base このモデルは、MosaicMLのllm-foundryリポジトリを使用してmosaicml/mpt-7bをファインチューニングしたモデルです。 ", "url": "https://huggingface.co./Jumtra/mpt-7b-base", "project_name": "mpt-7b-base", "downloads": 19, "source": "Hugging Face", "score": -0.10804756852551375, "first_commit": "2023-05-24 14:30:09", "latest_commit": "2023-06-26 01:08:31", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "MPTForCausalLM" }, { "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": -0.10804756852551375, "first_commit": "2023-12-07 18:22:23", "latest_commit": "2023-12-07 18:54:33", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "MistralForCausalLM" }, { "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": -0.10804756852551375, "first_commit": "2024-04-15 01:43:08", "latest_commit": "2024-08-12 12:39:52", "languages": [], "model_or_dataset": "model", "model_size": 0.756, "model_architectures": "WhisperForConditionalGeneration" }, { "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": -0.10804756852551375, "first_commit": "2024-06-24 13:27:54", "latest_commit": "2024-06-24 13:28:33", "languages": [], "model_or_dataset": "model", "model_size": 8.03, "model_architectures": null }, { "description": "BERT for Sentiment Analysis of Japanese Twitter", "url": "https://huggingface.co./LoneWolfgang/bert-for-japanese-twitter-sentiment-mixed-label", "project_name": "bert-for-japanese-twitter-sentiment-mixed-label", "downloads": 19, "source": "Hugging Face", "score": -0.10804756852551375, "first_commit": "2024-08-09 11:38:05", "latest_commit": "2024-08-09 12:10:35", "languages": [], "model_or_dataset": "model", "model_size": 0.111, "model_architectures": "BertForSequenceClassification" }, { "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": -0.10804756852551375, "first_commit": "2023-11-03 10:31:29", "latest_commit": "2023-11-03 12:54:41", "languages": [], "model_or_dataset": "model", "model_size": 1.13, "model_architectures": "LlamaForCausalLM" }, { "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": -0.10804756852551375, "first_commit": "2023-08-17 16:26:52", "latest_commit": "2023-08-17 16:51:41", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "LlamaForCausalLM" }, { "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": -0.10804756852551375, "first_commit": "2023-05-19 10:42:27", "latest_commit": "2023-05-19 10:50:13", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "WhisperForConditionalGeneration" }, { "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": -0.10804756852551375, "first_commit": "2023-01-20 05:57:37", "latest_commit": "2023-03-27 08:05:06", "languages": [], "model_or_dataset": "model", "model_size": 0.112, "model_architectures": "DebertaV2ForTokenClassification" }, { "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": -0.10804756852551375, "first_commit": "2022-03-03 04:53:15", "latest_commit": "2023-03-27 12:09:04", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "GPT2LMHeadModel" }, { "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": -0.10804756852551375, "first_commit": "2024-08-20 14:33:15", "latest_commit": "2024-08-21 15:31:43", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "MistralForCausalLM" }, { "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": 19, "source": "Hugging Face", "score": -0.10804756852551375, "first_commit": "2023-05-15 13:27:23", "latest_commit": "2023-05-15 14:55:06", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": 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", "downloads": 18, "source": "Hugging Face", "score": -0.10806261828741515, "first_commit": "2022-01-10 06:31:18", "latest_commit": "2022-05-22 14:57:21", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "T5ForConditionalGeneration" }, { "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": -0.10806261828741515, "first_commit": "2022-01-12 01:48:13", "latest_commit": "2022-01-13 01:43:17", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": 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": 18, "source": "Hugging Face", "score": -0.10806261828741515, "first_commit": "2023-11-06 11:33:47", "latest_commit": "2023-11-06 16:00:08", "languages": [], "model_or_dataset": "model", "model_size": 9.1, "model_architectures": "LlamaForCausalLM" }, { "description": "This is a BERT Base model for emotion analysis in Japanese additionally fine-tuned for emotion detection and classification.", "url": "https://huggingface.co./alter-wang/bert-base-japanese-emotion-lily", "project_name": "bert-base-japanese-emotion-lily", "downloads": 18, "source": "Hugging Face", "score": -0.10806261828741515, "first_commit": "2024-04-25 06:05:51", "latest_commit": "2024-06-17 01:44:16", "languages": [], "model_or_dataset": "model", "model_size": 0.111, "model_architectures": "BertForSequenceClassification" }, { "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": -0.10806261828741515, "first_commit": "2024-05-06 11:39:26", "latest_commit": "2024-05-08 12:44:05", "languages": [], "model_or_dataset": "model", "model_size": 0.464, "model_architectures": "Qwen2ForCausalLM" }, { "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": -0.10806261828741515, "first_commit": "2022-09-16 07:34:58", "latest_commit": "2022-09-16 11:01:54", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "Wav2Vec2ForCTC" }, { "description": "GitHub リポジトリ singletongue/wikipedia-utils で公開されているデータセットを利用しています。 ", "url": "https://huggingface.co./datasets/llm-book/jawiki-paragraphs", "project_name": "jawiki-paragraphs", "downloads": 18, "source": "Hugging Face", "score": -0.10806261828741515, "first_commit": "2023-06-03 03:04:05", "latest_commit": "2023-06-03 03:04:43", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": 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": 17, "source": "Hugging Face", "score": -0.10807766804931654, "first_commit": "2021-07-30 10:11:35", "latest_commit": "2021-09-23 15:46:05", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "BertForPreTraining" }, { "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": -0.10807766804931654, "first_commit": "2021-10-04 13:38:47", "latest_commit": "2023-10-21 13:21:24", "languages": [], "model_or_dataset": "model", "model_size": 0.00491, "model_architectures": "ElectraForMaskedLM" }, { "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": -0.10807766804931654, "first_commit": null, "latest_commit": null, "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": null }, { "description": "transformer-lm-japanese-0.1b", "url": "https://huggingface.co./fukugawa/transformer-lm-japanese-0.1b", "project_name": "transformer-lm-japanese-0.1b", "downloads": 17, "source": "Hugging Face", "score": -0.10807766804931654, "first_commit": "2023-07-12 02:11:11", "latest_commit": "2024-06-03 06:17:19", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "TransformerLMForCausalLM" }, { "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": -0.10807766804931654, "first_commit": "2023-11-06 05:02:27", "latest_commit": "2023-11-06 05:37:01", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": null }, { "description": "zenz-v1 Checkpoints zenz-v1 is a language model specialized for kana-kanji conversion tasks based on the GPT-2 architecture.", "url": "https://huggingface.co./Miwa-Keita/zenz-v1-checkpoints", "project_name": "zenz-v1-checkpoints", "downloads": 17, "source": "Hugging Face", "score": -0.10807766804931654, "first_commit": "2024-06-28 14:26:33", "latest_commit": "2024-06-28 14:53:43", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "GPT2LMHeadModel" }, { "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": -0.10807766804931654, "first_commit": "2024-06-22 22:28:58", "latest_commit": "2024-07-27 07:49:34", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "GPT2ForTokenClassification" }, { "description": "llm-jp-1.3b-v1.0-aya llm-jp's llm-jp-1.3b-v1.0 model fine-tuned on the Japanese examples from Cohere's aya dataset Model llm-jp-eval AVG kcoopermiller/llm-jp-1.3b-v1.0-aya 0.0698 llm-jp/llm-jp-1.3b-v1.0 0.047 How to use import torch from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained(\"kcoopermiller/llm-jp-1.3b-v1.0-aya\")", "url": "https://huggingface.co./kcoopermiller/llm-jp-1.3b-v1.0-aya", "project_name": "llm-jp-1.3b-v1.0-aya", "downloads": 17, "source": "Hugging Face", "score": -0.10807766804931654, "first_commit": "2024-02-23 05:39:39", "latest_commit": "2024-02-29 23:48:58", "languages": [], "model_or_dataset": "model", "model_size": 1.32, "model_architectures": "GPT2LMHeadModel" }, { "description": "japanese-stablelm-base-gamma-7b-Mistral-7B-Instruct-v0.1 japanese-stablelm-base-gamma-7b-Mistral-7B-Instruct-v0.1 is a merge of the following models: mistralai/Mistral-7B-Instruct-v0.1 stabilityai/japanese-stablelm-base-gamma-7b 🧩 Configuration slices: - sources: - model: mistralai/Mistral-7B-Instruct-v0.1 layer_range:", "url": "https://huggingface.co./MaziyarPanahi/japanese-stablelm-base-gamma-7b-Mistral-7B-Instruct-v0.1", "project_name": "japanese-stablelm-base-gamma-7b-Mistral-7B-Instruct-v0.1", "downloads": 17, "source": "Hugging Face", "score": -0.10807766804931654, "first_commit": "2024-01-17 04:41:20", "latest_commit": "2024-01-17 04:46:18", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "MistralForCausalLM" }, { "description": "japanese-stablelm-instruct-gamma-7b-Mistral-7B-Instruct-v0.1 japanese-stablelm-instruct-gamma-7b-Mistral-7B-Instruct-v0.1 is a merge of the following models: mistralai/Mistral-7B-Instruct-v0.1 stabilityai/japanese-stablelm-instruct-gamma-7b 🧩 Configuration slices: - sources: - model: mistralai/Mistral-7B-Instruct-v0.1 layer_range:", "url": "https://huggingface.co./MaziyarPanahi/japanese-stablelm-instruct-gamma-7b-Mistral-7B-Instruct-v0.1", "project_name": "japanese-stablelm-instruct-gamma-7b-Mistral-7B-Instruct-v0.1", "downloads": 17, "source": "Hugging Face", "score": -0.10807766804931654, "first_commit": "2024-01-16 12:23:01", "latest_commit": "2024-01-16 12:27:54", "languages": [], "model_or_dataset": "model", "model_size": 7.24, "model_architectures": "MistralForCausalLM" }, { "description": "JPNsensei-V2 Model Application", "url": "https://huggingface.co./kanxxyc/JPNsensei-V2", "project_name": "JPNsensei-V2", "downloads": 17, "source": "Hugging Face", "score": -0.10807766804931654, "first_commit": "2023-10-30 00:18:24", "latest_commit": "2024-03-11 10:19:14", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "MistralForCausalLM" }, { "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": -0.10807766804931654, "first_commit": "2023-09-23 08:43:02", "latest_commit": "2023-10-01 18:12:09", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": 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": 17, "source": "Hugging Face", "score": -0.10807766804931654, "first_commit": "2023-07-07 06:16:06", "latest_commit": "2023-07-07 18:09:09", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": null }, { "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": -0.10807766804931654, "first_commit": "2022-09-25 13:12:57", "latest_commit": "2023-09-15 01:28:14", "languages": [], "model_or_dataset": "model", "model_size": 0.111, "model_architectures": "BertForPreTraining" }, { "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": -0.10809271781121793, "first_commit": "2022-02-13 01:00:01", "latest_commit": "2023-11-05 18:44:10", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "BertForTokenClassification" }, { "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": -0.10809271781121793, "first_commit": "2021-11-15 17:23:50", "latest_commit": "2023-10-21 13:21:16", "languages": [], "model_or_dataset": "model", "model_size": 0.035500000000000004, "model_architectures": "ElectraForMaskedLM" }, { "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": -0.10809271781121793, "first_commit": "2021-12-28 01:22:40", "latest_commit": "2021-12-28 15:31:38", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "GPT2LMHeadModel" }, { "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": -0.10809271781121793, "first_commit": "2023-08-09 16:28:38", "latest_commit": "2023-08-10 13:00:34", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "LlamaForCausalLM" }, { "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": -0.10809271781121793, "first_commit": "2023-10-21 05:21:13", "latest_commit": "2023-10-23 19:39:51", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "LlamaForCausalLM" }, { "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": -0.10809271781121793, "first_commit": "2023-12-07 17:59:51", "latest_commit": "2023-12-07 18:54:26", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "MistralForCausalLM" }, { "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": -0.10809271781121793, "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, "model_architectures": 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", "downloads": 16, "source": "Hugging Face", "score": -0.10809271781121793, "first_commit": "2024-03-07 13:21:38", "latest_commit": "2024-03-07 13:47:58", "languages": [], "model_or_dataset": "model", "model_size": 11.2, "model_architectures": 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": 16, "source": "Hugging Face", "score": -0.10809271781121793, "first_commit": "2024-04-23 04:41:19", "latest_commit": "2024-05-02 03:36:10", "languages": [], "model_or_dataset": "model", "model_size": 8.03, "model_architectures": "LlamaForCausalLM" }, { "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": -0.10809271781121793, "first_commit": "2024-05-29 15:11:10", "latest_commit": "2024-05-31 11:28:45", "languages": [], "model_or_dataset": "model", "model_size": 3.82, "model_architectures": null }, { "description": "gpt2-large-japanese-upos Model Description", "url": "https://huggingface.co./KoichiYasuoka/gpt2-large-japanese-upos", "project_name": "gpt2-large-japanese-upos", "downloads": 16, "source": "Hugging Face", "score": -0.10809271781121793, "first_commit": "2024-06-22 22:44:06", "latest_commit": "2024-07-27 07:49:47", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "GPT2ForTokenClassification" }, { "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": -0.10809271781121793, "first_commit": "2024-04-24 07:48:45", "latest_commit": "2024-06-24 08:57:49", "languages": [], "model_or_dataset": "model", "model_size": 8.03, "model_architectures": "LlamaForCausalLM" }, { "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": -0.10809271781121793, "first_commit": "2024-03-14 09:51:38", "latest_commit": "2024-03-17 15:05:20", "languages": [], "model_or_dataset": "model", "model_size": 2.51, "model_architectures": "GemmaForCausalLM" }, { "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": -0.10809271781121793, "first_commit": "2024-03-07 06:57:50", "latest_commit": "2024-03-07 07:00:51", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "LlamaForCausalLM" }, { "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": -0.10809271781121793, "first_commit": "2024-03-07 06:55:28", "latest_commit": "2024-03-07 06:57:49", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "LlamaForCausalLM" }, { "description": "Japanese Stable LM Instruct Gamma 7B Model Description", "url": "https://huggingface.co./LoneStriker/stabilityai_japanese-stablelm-instruct-gamma-7b-8.0bpw-h6-exl2", "project_name": "stabilityai_japanese-stablelm-instruct-gamma-7b-8.0bpw-h6-exl2", "downloads": 16, "source": "Hugging Face", "score": -0.10809271781121793, "first_commit": "2023-10-28 20:43:59", "latest_commit": "2023-10-28 15:44:20", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "MistralForCausalLM" }, { "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": -0.10809271781121793, "first_commit": "2023-10-28 20:36:54", "latest_commit": "2023-10-28 15:37:11", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "MistralForCausalLM" }, { "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": -0.10809271781121793, "first_commit": "2023-09-08 08:35:31", "latest_commit": "2023-09-17 04:24:55", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "LlamaForCausalLM" }, { "description": "TakoMT", "url": "https://huggingface.co./staka/takomt", "project_name": "takomt", "downloads": 16, "source": "Hugging Face", "score": -0.10809271781121793, "first_commit": "2022-05-08 03:52:40", "latest_commit": "2023-08-15 17:32:13", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "MarianMTModel" }, { "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": -0.10809271781121793, "first_commit": "2021-06-04 13:14:22", "latest_commit": "2021-09-23 18:29:53", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "MT5ForConditionGeneration" }, { "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": -0.10809271781121793, "first_commit": "2023-11-08 10:47:40", "latest_commit": "2024-08-05 03:14:27", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "固有表現ラベルはllm-book/ner-wikipedia-datasetと同様のものを採用しており、全部で8種類 (人名、法人名、地名、製品名、政治的組織名、施設名、その他の組織名、イベント名)あります。 ", "url": "https://huggingface.co./datasets/llm-book/ner-wikinews-dataset", "project_name": "ner-wikinews-dataset", "downloads": 16, "source": "Hugging Face", "score": -0.10809271781121793, "first_commit": "2023-04-22 14:32:21", "latest_commit": "2023-12-12 11:22:26", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "deberta-base-japanese-juman-ud-goeswith Model Description", "url": "https://huggingface.co./KoichiYasuoka/deberta-base-japanese-juman-ud-goeswith", "project_name": "deberta-base-japanese-juman-ud-goeswith", "downloads": 15, "source": "Hugging Face", "score": -0.10810776757311932, "first_commit": "2023-02-05 06:48:32", "latest_commit": "2023-05-12 01:16:53", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "DebertaV2ForTokenClassification" }, { "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": -0.10810776757311932, "first_commit": "2023-02-01 01:02:44", "latest_commit": "2023-05-26 15:05:18", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "DebertaV2ForMultipleChoice" }, { "description": "Japanese Stable LM Instruct Gamma 7B Model Description", "url": "https://huggingface.co./LoneStriker/stabilityai_japanese-stablelm-instruct-gamma-7b-4.0bpw-h6-exl2", "project_name": "stabilityai_japanese-stablelm-instruct-gamma-7b-4.0bpw-h6-exl2", "downloads": 15, "source": "Hugging Face", "score": -0.10810776757311932, "first_commit": "2023-10-28 20:23:03", "latest_commit": "2023-10-28 15:23:16", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "MistralForCausalLM" }, { "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": -0.10810776757311932, "first_commit": "2023-10-28 19:03:17", "latest_commit": "2023-11-09 18:16:33", "languages": [], "model_or_dataset": "model", "model_size": 1.2, "model_architectures": "MistralForCausalLM" }, { "description": "Shisa 7B Shisa 7B (shisa-7b-v1)", "url": "https://huggingface.co./LoneStriker/shisa-7b-v1-6.0bpw-h6-exl2", "project_name": "shisa-7b-v1-6.0bpw-h6-exl2", "downloads": 15, "source": "Hugging Face", "score": -0.10810776757311932, "first_commit": "2023-12-07 18:14:46", "latest_commit": "2023-12-07 18:58:23", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "MistralForCausalLM" }, { "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": -0.10810776757311932, "first_commit": "2023-12-07 18:07:21", "latest_commit": "2023-12-07 18:54:27", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "MistralForCausalLM" }, { "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": -0.10810776757311932, "first_commit": "2024-03-07 06:53:27", "latest_commit": "2024-03-07 06:55:27", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "LlamaForCausalLM" }, { "description": "Japanese Stable LM Instruct Gamma 7B Model Description", "url": "https://huggingface.co./LoneStriker/stabilityai_japanese-stablelm-instruct-gamma-7b-5.0bpw-h6-exl2", "project_name": "stabilityai_japanese-stablelm-instruct-gamma-7b-5.0bpw-h6-exl2", "downloads": 15, "source": "Hugging Face", "score": -0.10810776757311932, "first_commit": "2023-10-28 20:29:59", "latest_commit": "2023-10-28 15:30:13", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "MistralForCausalLM" }, { "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": -0.10810776757311932, "first_commit": "2021-04-03 13:55:25", "latest_commit": "2024-04-17 11:39:12", "languages": [], "model_or_dataset": "model", "model_size": 0.223, "model_architectures": "T5ForConditionalGeneration" }, { "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": -0.10810776757311932, "first_commit": "2024-04-12 01:54:01", "latest_commit": "2024-04-12 08:59:36", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "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": -0.10812281733502072, "first_commit": "2022-07-06 03:15:12", "latest_commit": "2024-08-20 17:54:58", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "DebertaV2ForTokenClassification" }, { "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": -0.10812281733502072, "first_commit": "2021-12-21 00:04:03", "latest_commit": "2022-10-15 14:20:11", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "RobertaForMaskedLM" }, { "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": -0.10812281733502072, "first_commit": "2021-10-26 13:26:38", "latest_commit": "2022-09-18 19:43:18", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "BertForTokenClassification" }, { "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": -0.10812281733502072, "first_commit": "2022-05-27 06:50:55", "latest_commit": "2024-07-26 16:00:59", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "DebertaV2ForTokenClassification" }, { "description": "japanese-gpt2-medium-unidic This is a medium-sized Japanese GPT-2 model using BERT-like tokenizer.", "url": "https://huggingface.co./okazaki-lab/japanese-gpt2-medium-unidic", "project_name": "japanese-gpt2-medium-unidic", "downloads": 14, "source": "Hugging Face", "score": -0.10812281733502072, "first_commit": "2023-02-27 05:42:22", "latest_commit": "2023-03-22 06:22:32", "languages": [], "model_or_dataset": "model", "model_size": 0.362, "model_architectures": "GPT2LMHeadModel" }, { "description": "Model Card for Model ID", "url": "https://huggingface.co./kkuramitsu/mt5-mini9L", "project_name": "mt5-mini9L", "downloads": 14, "source": "Hugging Face", "score": -0.10812281733502072, "first_commit": "2023-03-30 01:11:17", "latest_commit": "2023-10-15 10:56:23", "languages": [], "model_or_dataset": "model", "model_size": 0.08040000000000001, "model_architectures": "MT5ForConditionalGeneration" }, { "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": -0.10812281733502072, "first_commit": "2023-04-26 08:31:45", "latest_commit": "2023-05-10 10:00:45", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "T5ForConditionalGeneration" }, { "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": -0.10812281733502072, "first_commit": "2023-05-11 10:28:33", "latest_commit": "2023-05-26 15:01:57", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "DebertaV2ForMultipleChoice" }, { "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": -0.10812281733502072, "first_commit": "2023-09-13 16:15:06", "latest_commit": "2023-11-17 16:44:57", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "LlamaForCausalLM" }, { "description": "COMET-GPT2 ja v2 Finetuned GPT-2 xl on the large version of ATOMIC ja using a causal language modeling (CLM) objective.", "url": "https://huggingface.co./nlp-waseda/comet-gpt2-xl-japanese", "project_name": "comet-gpt2-xl-japanese", "downloads": 14, "source": "Hugging Face", "score": -0.10812281733502072, "first_commit": "2023-09-26 13:37:52", "latest_commit": "2024-03-11 04:16:02", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "GPT2LMHeadModel" }, { "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": -0.10812281733502072, "first_commit": "2023-12-08 03:51:28", "latest_commit": "2024-02-25 06:40:05", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "LlamaForCausalLM" }, { "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": -0.10812281733502072, "first_commit": "2024-02-25 10:30:06", "latest_commit": "2024-03-16 15:00:14", "languages": [], "model_or_dataset": "model", "model_size": 6.05, "model_architectures": "GPTJForCausalLM" }, { "description": "モデルについて Qwen/Qwen1.5-0.5Bを日英データ5Bトークンで継続事前学習したTokara-0.5B-v0.1にchat vectorで対話能力を加えたモデルになります。 ", "url": "https://huggingface.co./Kendamarron/Tokara-0.5B-Chat-v0.1", "project_name": "Tokara-0.5B-Chat-v0.1", "downloads": 14, "source": "Hugging Face", "score": -0.10812281733502072, "first_commit": "2024-05-06 15:47:55", "latest_commit": "2024-05-08 13:30:12", "languages": [], "model_or_dataset": "model", "model_size": 0.464, "model_architectures": "Qwen2ForCausalLM" }, { "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": -0.10812281733502072, "first_commit": "2024-05-10 14:33:57", "latest_commit": "2024-05-21 14:54:46", "languages": [], "model_or_dataset": "model", "model_size": 8.03, "model_architectures": "LlamaForCausalLM" }, { "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": -0.10812281733502072, "first_commit": "2024-06-12 02:24:28", "latest_commit": "2024-06-12 03:00:35", "languages": [], "model_or_dataset": "model", "model_size": 7.32, "model_architectures": "LlamaForCausalLM" }, { "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": -0.10812281733502072, "first_commit": "2024-05-31 22:51:11", "latest_commit": "2024-06-09 15:37:04", "languages": [], "model_or_dataset": "model", "model_size": 6.35, "model_architectures": "ChatGLMForConditionalGeneration" }, { "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": -0.10812281733502072, "first_commit": "2024-03-07 06:51:43", "latest_commit": "2024-03-07 06:53:26", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "LlamaForCausalLM" }, { "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": -0.10812281733502072, "first_commit": "2024-03-06 16:45:44", "latest_commit": "2024-03-28 16:36:13", "languages": [], "model_or_dataset": "model", "model_size": 1.1, "model_architectures": "LlamaForCausalLM" }, { "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": -0.10812281733502072, "first_commit": "2024-02-29 19:34:12", "latest_commit": "2024-03-04 10:43:27", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": null }, { "description": "お知らせ より回答が適切になるように学習させたモデル、https://huggingface.co./hotchpotch/youri-7b-stf-qa-context-jaqket-jsquad-gptq もあります。 ", "url": "https://huggingface.co./hotchpotch/youri-7b-sft-qa-context-jaqket-awq", "project_name": "youri-7b-sft-qa-context-jaqket-awq", "downloads": 14, "source": "Hugging Face", "score": -0.10812281733502072, "first_commit": "2023-12-10 08:52:23", "latest_commit": "2024-02-25 06:40:30", "languages": [], "model_or_dataset": "model", "model_size": 1.13, "model_architectures": "LlamaForCausalLM" }, { "description": "Chat & support: TheBloke's Discord server Want to contribute?", "url": "https://huggingface.co./TheBloke/japanese-stablelm-instruct-beta-7B-AWQ", "project_name": "japanese-stablelm-instruct-beta-7B-AWQ", "downloads": 14, "source": "Hugging Face", "score": -0.10812281733502072, "first_commit": "2023-11-03 01:04:31", "latest_commit": "2023-11-09 18:16:12", "languages": [], "model_or_dataset": "model", "model_size": 1.13, "model_architectures": "LlamaForCausalLM" }, { "description": "◆REV-Mix \"レボリューション\"なモデルです。 ", "url": "https://huggingface.co./Hemlok/REV-Mix", "project_name": "REV-Mix", "downloads": 14, "source": "Hugging Face", "score": -0.10812281733502072, "first_commit": "2023-08-06 17:04:53", "latest_commit": "2023-08-26 16:19:02", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": null }, { "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": -0.10812281733502072, "first_commit": "2022-05-24 08:12:05", "latest_commit": "2024-07-26 15:59:24", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "DebertaV2ForTokenClassification" }, { "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": -0.10812281733502072, "first_commit": "2021-07-07 12:08:11", "latest_commit": "2023-10-10 06:46:01", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": 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", "downloads": 14, "source": "Hugging Face", "score": -0.10812281733502072, "first_commit": "2021-04-10 00:31:15", "latest_commit": "2022-05-19 06:50:32", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "MT5ForConditionalGeneration" }, { "description": "The JaNLI (Japanese Adversarial NLI) dataset, inspired by the English HANS dataset, is designed to necessitate an understanding of Japanese linguistic phenomena and to illuminate the vulnerabilities of models.", "url": "https://huggingface.co./datasets/hpprc/janli", "project_name": "janli", "downloads": 14, "source": "Hugging Face", "score": -0.10812281733502072, "first_commit": "2023-04-05 12:25:01", "latest_commit": "2023-04-11 13:40:37", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "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": -0.10812281733502072, "first_commit": "2024-03-03 16:06:15", "latest_commit": "2024-03-03 16:20:35", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "gpt2-small-japanese-ud-causal Model Description", "url": "https://huggingface.co./KoichiYasuoka/gpt2-small-japanese-ud-causal", "project_name": "gpt2-small-japanese-ud-causal", "downloads": 13, "source": "Hugging Face", "score": -0.10813786709692211, "first_commit": "2024-08-22 13:33:02", "latest_commit": "2024-08-25 17:54:09", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "GPT2ForTokenClassification" }, { "description": "bert-large-japanese-unidic-luw-upos Model Description", "url": "https://huggingface.co./KoichiYasuoka/bert-large-japanese-unidic-luw-upos", "project_name": "bert-large-japanese-unidic-luw-upos", "downloads": 13, "source": "Hugging Face", "score": -0.10813786709692211, "first_commit": "2022-02-13 01:00:41", "latest_commit": "2023-11-05 18:44:20", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "BertForTokenClassification" }, { "description": "ELECTRA small Japanese generator This is a ELECTRA model pretrained on texts in the Japanese language.", "url": "https://huggingface.co./izumi-lab/electra-small-japanese-generator", "project_name": "electra-small-japanese-generator", "downloads": 13, "source": "Hugging Face", "score": -0.10813786709692211, "first_commit": "2021-10-04 13:43:37", "latest_commit": "2023-10-21 13:21:28", "languages": [], "model_or_dataset": "model", "model_size": 0.013800000000000002, "model_architectures": "ElectraForMaskedLM" }, { "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": -0.10813786709692211, "first_commit": "2021-10-04 13:42:57", "latest_commit": "2022-12-09 00:41:39", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "ElectraForPreTraining" }, { "description": "このモデルはluke-japanese-baseをファインチューニングして、JNLI(文章の関係性判別)に用いれるようにしたものです。 ", "url": "https://huggingface.co./Mizuiro-sakura/luke-japanese-base-finetuned-jnli", "project_name": "luke-japanese-base-finetuned-jnli", "downloads": 13, "source": "Hugging Face", "score": -0.10813786709692211, "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, "model_architectures": "LukeForSequenceClassification" }, { "description": "MPT-7B-inst このモデルは、MosaicMLのllm-foundryリポジトリを使用してmosaicml/mpt-7b-instructをファインチューニングしたモデルです。 ", "url": "https://huggingface.co./Jumtra/mpt-7b-inst", "project_name": "mpt-7b-inst", "downloads": 13, "source": "Hugging Face", "score": -0.10813786709692211, "first_commit": "2023-05-24 14:22:33", "latest_commit": "2023-06-26 01:09:06", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "MPTForCausalLM" }, { "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": -0.10813786709692211, "first_commit": "2023-06-26 13:37:53", "latest_commit": "2023-07-02 14:30:47", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "GPTNeoXForCausalLM" }, { "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": -0.10813786709692211, "first_commit": "2023-08-10 13:01:38", "latest_commit": "2023-08-10 13:11:05", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "LlamaForCausalLM" }, { "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": -0.10813786709692211, "first_commit": "2023-10-16 04:12:34", "latest_commit": "2023-10-16 13:49:48", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "LlamaForCausalLM" }, { "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": -0.10813786709692211, "first_commit": "2023-12-09 13:36:32", "latest_commit": "2023-12-09 15:19:57", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "LlamaForCausalLM" }, { "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": -0.10813786709692211, "first_commit": "2024-01-25 16:58:27", "latest_commit": "2024-01-25 21:01:29", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "OrionForCausalLM" }, { "description": "The English document is here モデル概要 Watashiha-Llama-2-13B-Ogiri-sftをAWSのinf2インスタンスで動作するようにコンパイルされたモデルです。 ", "url": "https://huggingface.co./watashiha/Watashiha-Llama-2-13B-Ogiri-sft-neuron", "project_name": "Watashiha-Llama-2-13B-Ogiri-sft-neuron", "downloads": 13, "source": "Hugging Face", "score": -0.10813786709692211, "first_commit": "2024-01-24 19:05:34", "latest_commit": "2024-02-02 06:39:21", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "LlamaForCausalLM" }, { "description": "モデル概要 Watashiha-Llama-2-13B-Ogiri-sftをLLaVAで学習し、画像に対応した大喜利言語モデルです。", "url": "https://huggingface.co./watashiha/Watashiha-Llama-2-13B-Ogiri-sft-vlm", "project_name": "Watashiha-Llama-2-13B-Ogiri-sft-vlm", "downloads": 13, "source": "Hugging Face", "score": -0.10813786709692211, "first_commit": "2024-02-26 17:55:56", "latest_commit": "2024-03-04 05:22:43", "languages": [], "model_or_dataset": "model", "model_size": 13.3, "model_architectures": "LlavaLlamaForCausalLM" }, { "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": -0.10813786709692211, "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, "model_architectures": null }, { "description": "TaCOMET_ja", "url": "https://huggingface.co./nlp-waseda/tacomet-gpt2-xl-japanese", "project_name": "tacomet-gpt2-xl-japanese", "downloads": 13, "source": "Hugging Face", "score": -0.10813786709692211, "first_commit": "2024-03-07 11:50:15", "latest_commit": "2024-06-05 09:41:05", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "GPT2LMHeadModel" }, { "description": "ELYZA-japanese-Llama-2-MoE-2x7B-v0.1-GGUF 概要 Aratako/ELYZA-japanese-Llama-2-MoE-2x7B-v0.1の量子化済みGGUF版です。", "url": "https://huggingface.co./Aratako/ELYZA-japanese-Llama-2-MoE-2x7B-v0.1-GGUF", "project_name": "ELYZA-japanese-Llama-2-MoE-2x7B-v0.1-GGUF", "downloads": 13, "source": "Hugging Face", "score": -0.10813786709692211, "first_commit": "2024-03-06 15:44:10", "latest_commit": "2024-03-07 13:23:01", "languages": [], "model_or_dataset": "model", "model_size": 11.1, "model_architectures": null }, { "description": "このモデルはcl-tohoku/bert-large-japanese-v2をファインチューニングして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": -0.10813786709692211, "first_commit": "2023-05-26 14:33:37", "latest_commit": "2023-05-26 15:02:41", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "BertForMultipleChoice" }, { "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": -0.10813786709692211, "first_commit": "2023-04-24 04:47:05", "latest_commit": "2023-04-24 05:12:10", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "BloomForCausalLM" }, { "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": -0.10813786709692211, "first_commit": "2022-09-18 08:41:06", "latest_commit": "2023-05-12 01:29:13", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "DebertaV2ForTokenClassification" }, { "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": -0.10813786709692211, "first_commit": "2022-09-18 08:10:44", "latest_commit": "2023-03-19 01:58:12", "languages": [], "model_or_dataset": "model", "model_size": 0.323, "model_architectures": "RobertaForMaskedLM" }, { "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": -0.10813786709692211, "first_commit": "2022-05-26 14:46:58", "latest_commit": "2023-01-14 00:27:22", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "DebertaV2ForMaskedLM" }, { "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": -0.10813786709692211, "first_commit": "2021-11-13 16:28:23", "latest_commit": "2021-11-14 02:34:01", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "BertForTokenClassification" }, { "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": -0.10813786709692211, "first_commit": "2024-03-29 23:31:35", "latest_commit": "2024-03-30 00:51:03", "languages": [], "model_or_dataset": "model", "model_size": 12.9, "model_architectures": "GPT2LMHeadModel" }, { "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": -0.1081529168588235, "first_commit": "2024-07-26 13:05:01", "latest_commit": "2024-07-26 14:05:31", "languages": [], "model_or_dataset": "model", "model_size": 19.8, "model_architectures": "LlamaForCausalLM" }, { "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": -0.1081529168588235, "first_commit": "2022-01-26 15:43:02", "latest_commit": "2022-03-23 18:34:20", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "Wav2Vec2ForCTC" }, { "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": -0.1081529168588235, "first_commit": "2021-10-04 14:06:48", "latest_commit": "2022-12-09 00:42:10", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "ElectraForPreTraining" }, { "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": 12, "source": "Hugging Face", "score": -0.1081529168588235, "first_commit": "2021-11-09 16:58:01", "latest_commit": "2023-10-10 06:27:03", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": null }, { "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": -0.1081529168588235, "first_commit": "2022-06-10 12:49:12", "latest_commit": "2022-06-19 09:15:35", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "DebertaV2ForMaskedLM" }, { "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": -0.1081529168588235, "first_commit": "2022-08-01 14:59:47", "latest_commit": "2022-08-14 05:47:18", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "GPT2LMHeadModel" }, { "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": -0.1081529168588235, "first_commit": "2023-11-15 16:33:25", "latest_commit": "2023-11-16 14:28:39", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "LlamaForCausalLM" }, { "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": -0.1081529168588235, "first_commit": "2024-01-04 12:33:19", "latest_commit": "2024-01-05 15:48:24", "languages": [], "model_or_dataset": "model", "model_size": 7.24, "model_architectures": "MistralModel" }, { "description": "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": -0.1081529168588235, "first_commit": "2024-02-08 08:08:41", "latest_commit": "2024-03-20 05:41:04", "languages": [], "model_or_dataset": "model", "model_size": 0.07529999999999999, "model_architectures": "MarianMTModel" }, { "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": -0.1081529168588235, "first_commit": "2024-02-15 22:49:08", "latest_commit": "2024-04-16 22:33:28", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "LlamaForCausalLM" }, { "description": "DavidAU/alpaca-guanaco-japanese-gpt-1b-Q8_0-GGUF", "url": "https://huggingface.co./DavidAU/alpaca-guanaco-japanese-gpt-1b-Q8_0-GGUF", "project_name": "alpaca-guanaco-japanese-gpt-1b-Q8_0-GGUF", "downloads": 12, "source": "Hugging Face", "score": -0.1081529168588235, "first_commit": "2024-04-20 08:49:14", "latest_commit": "2024-04-20 08:49:19", "languages": [], "model_or_dataset": "model", "model_size": 1.39, "model_architectures": null }, { "description": "Model Card for Model ID 料理を検索するための質問文から、検索検索用キーワードである固有表現を抽出します Model Details Model Description 例えば、「東京の肉料理で、春に食べられる、鶏肉を使った料理を教えてください」という文章を入力すると、 「東京 → 都道府県/地方(AREA)」 「肉料理 → 種類(TYPE)」 「春 → 季節(SZN)", "url": "https://huggingface.co./wolf4032/bert-japanese-token-classification-search-local-cuisine", "project_name": "bert-japanese-token-classification-search-local-cuisine", "downloads": 12, "source": "Hugging Face", "score": -0.1081529168588235, "first_commit": "2024-04-28 06:45:18", "latest_commit": "2024-05-12 07:20:39", "languages": [], "model_or_dataset": "model", "model_size": 0.111, "model_architectures": "BertForTokenClassification" }, { "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": -0.1081529168588235, "first_commit": "2024-05-03 04:03:47", "latest_commit": "2024-05-03 04:30:45", "languages": [], "model_or_dataset": "model", "model_size": 7.24, "model_architectures": null }, { "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": -0.1081529168588235, "first_commit": "2024-05-07 10:03:15", "latest_commit": "2024-05-10 05:39:04", "languages": [], "model_or_dataset": "model", "model_size": 7.57, "model_architectures": "LlavaMistralForCausalLM" }, { "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": -0.1081529168588235, "first_commit": "2024-05-19 15:31:02", "latest_commit": "2024-05-20 16:56:00", "languages": [], "model_or_dataset": "model", "model_size": 7.24, "model_architectures": "MistralForCausalLM" }, { "description": "spekulatius マージしているとたまに出てくる「目的の意図とは違うのだけどなんだか消すにはもったいないモデル」をおすそ分けするシリーズです。 ", "url": "https://huggingface.co./Lasorco/spekulatius", "project_name": "spekulatius", "downloads": 12, "source": "Hugging Face", "score": -0.1081529168588235, "first_commit": "2023-10-24 13:56:21", "latest_commit": "2023-10-26 04:21:35", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": 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": 12, "source": "Hugging Face", "score": -0.1081529168588235, "first_commit": "2022-10-31 06:53:19", "latest_commit": "2022-11-07 12:06:32", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "MBartForConditionalGeneration" }, { "description": "deberta-base-japanese-wikipedia-ud-goeswith Model Description", "url": "https://huggingface.co./KoichiYasuoka/deberta-base-japanese-wikipedia-ud-goeswith", "project_name": "deberta-base-japanese-wikipedia-ud-goeswith", "downloads": 12, "source": "Hugging Face", "score": -0.1081529168588235, "first_commit": "2022-09-18 06:02:55", "latest_commit": "2024-08-20 19:38:50", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "DebertaV2ForTokenClassification" }, { "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": -0.1081529168588235, "first_commit": "2022-05-23 04:58:53", "latest_commit": "2023-01-15 15:25:14", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "DebertaV2ForMaskedLM" }, { "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": -0.1081529168588235, "first_commit": "2021-07-07 12:10:08", "latest_commit": "2023-10-10 06:45:12", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": null }, { "description": "Model Trained Using AutoNLP Problem type: Binary Classification Model ID: 59363 Validation Metrics Loss: 0.12651239335536957 Accuracy: 0.9532079853817648 Precision: 0.9729688278823665 Recall: 0.9744633462616643 AUC: 0.9717333684823413 F1: 0.9737155136027014 Usage You can use cURL to access this model: $ curl -X POST -H \"Authorization: Bearer YOUR_API_KEY\" -H \"Content-Type: application/json\" -d '{\"inputs\": \"I love AutoNLP\"}' https://api-inference.huggingface.co/models/abhishek/autonlp-japanese-sentiment-5936", "url": "https://huggingface.co./abhishek/autonlp-japanese-sentiment-59363", "project_name": "autonlp-japanese-sentiment-59363", "downloads": 12, "source": "Hugging Face", "score": -0.1081529168588235, "first_commit": "2021-04-21 11:28:24", "latest_commit": "2021-05-18 22:56:15", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "BertForSequenceClassification" }, { "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": -0.1081529168588235, "first_commit": "2021-12-30 15:56:46", "latest_commit": "2022-09-18 19:44:49", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "RobertaForTokenClassification" }, { "description": "roberta-base-japanese-luw-upos Model Description", "url": "https://huggingface.co./KoichiYasuoka/roberta-base-japanese-luw-upos", "project_name": "roberta-base-japanese-luw-upos", "downloads": 11, "source": "Hugging Face", "score": -0.10816796662072489, "first_commit": "2021-12-21 00:41:00", "latest_commit": "2022-09-18 19:44:22", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "RobertaForTokenClassification" }, { "description": "bert-large-japanese-luw-upos Model Description", "url": "https://huggingface.co./KoichiYasuoka/bert-large-japanese-luw-upos", "project_name": "bert-large-japanese-luw-upos", "downloads": 11, "source": "Hugging Face", "score": -0.10816796662072489, "first_commit": "2021-10-26 13:54:17", "latest_commit": "2022-09-18 19:43:45", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "BertForTokenClassification" }, { "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": -0.10816796662072489, "first_commit": "2021-08-26 22:44:12", "latest_commit": "2022-06-21 07:21:54", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "BertForMaskedLM" }, { "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": -0.10816796662072489, "first_commit": "2022-06-08 08:05:33", "latest_commit": "2022-06-18 23:02:31", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "DebertaV2ForMaskedLM" }, { "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": -0.10816796662072489, "first_commit": "2022-11-05 11:14:51", "latest_commit": "2022-11-16 22:21:49", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "FastTextJpModel" }, { "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": -0.10816796662072489, "first_commit": "2023-01-18 11:14:31", "latest_commit": "2023-01-21 02:10:41", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": null }, { "description": "ebisuke/liz-nojaloli-ja License MIT Licenseベースとしてrinna/japanese-gpt-neox-3.6bを使用しています。 ", "url": "https://huggingface.co./ebisuke/liz-nojaloli-ja", "project_name": "liz-nojaloli-ja", "downloads": 11, "source": "Hugging Face", "score": -0.10816796662072489, "first_commit": "2023-05-23 16:59:22", "latest_commit": "2023-05-30 16:01:20", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "GPTNeoXForCausalLM" }, { "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": -0.10816796662072489, "first_commit": "2023-06-08 00:25:01", "latest_commit": "2023-06-08 00:48:50", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "GPTNeoXForCausalLM" }, { "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": -0.10816796662072489, "first_commit": "2024-03-09 16:47:29", "latest_commit": "2024-03-21 14:33:07", "languages": [], "model_or_dataset": "model", "model_size": 7.24, "model_architectures": "MistralForCausalLM" }, { "description": "概要 「LOCAL AI HACKATHON」における、チームDataPilot,4つめの成果品です。", "url": "https://huggingface.co./DataPilot/ArrowSmartPlus_3.6B_instruction", "project_name": "ArrowSmartPlus_3.6B_instruction", "downloads": 11, "source": "Hugging Face", "score": -0.10816796662072489, "first_commit": null, "latest_commit": null, "languages": [], "model_or_dataset": "model", "model_size": 3.56, "model_architectures": "MistralForCausalLM" }, { "description": "TigerBot-7B Japanese", "url": "https://huggingface.co./atsuki-yamaguchi/tigerbot-7b-base-random-ja", "project_name": "tigerbot-7b-base-random-ja", "downloads": 11, "source": "Hugging Face", "score": -0.10816796662072489, "first_commit": "2024-04-21 16:43:53", "latest_commit": "2024-04-22 09:05:05", "languages": [], "model_or_dataset": "model", "model_size": 6.74, "model_architectures": "LlamaForCausalLM" }, { "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": -0.10816796662072489, "first_commit": "2024-05-01 02:56:38", "latest_commit": "2024-05-04 04:07:00", "languages": [], "model_or_dataset": "model", "model_size": 7.24, "model_architectures": "MistralForCausalLM" }, { "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": -0.10816796662072489, "first_commit": "2024-05-27 14:58:38", "latest_commit": "2024-05-28 03:02:14", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": 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", "downloads": 11, "source": "Hugging Face", "score": -0.10816796662072489, "first_commit": "2024-07-02 03:34:30", "latest_commit": "2024-07-02 08:53:11", "languages": [], "model_or_dataset": "model", "model_size": 1.1, "model_architectures": "LlamaForCausalLM" }, { "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": -0.10816796662072489, "first_commit": "2024-06-22 22:39:14", "latest_commit": "2024-07-27 07:49:41", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "GPT2ForTokenClassification" }, { "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": -0.10816796662072489, "first_commit": "2024-05-24 18:58:48", "latest_commit": "2024-06-11 07:41:22", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "MixtralForCausalLM" }, { "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": -0.10816796662072489, "first_commit": "2024-04-22 09:34:13", "latest_commit": "2024-04-22 09:39:09", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "MistralForCausalLM" }, { "description": "dolly-japanese-gpt-1b-clone 概要 rinna社の「japanese-gpt-1b」を、日本語データセット「databricks-dolly-15k-ja」を使用して学習させた推論モデルです。 ", "url": "https://huggingface.co./ce-lery/dolly-japanese-gpt-1b-clone", "project_name": "dolly-japanese-gpt-1b-clone", "downloads": 11, "source": "Hugging Face", "score": -0.10816796662072489, "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, "model_architectures": "GPT2LMHeadModel" }, { "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": -0.10816796662072489, "first_commit": "2023-04-20 17:51:47", "latest_commit": "2023-04-21 18:00:04", "languages": [], "model_or_dataset": "model", "model_size": null, "model_architectures": "HubertModel" }, { "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": -0.10816796662072489, "first_commit": "2023-01-20 04:23:07", "latest_commit": "2023-12-08 03:39:50", "languages": [], "model_or_dataset": "model", "model_size": 0.125, "model_architectures": "BartForConditionalGeneration" }, { "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": -0.10816796662072489, "first_commit": "2024-04-10 05:07:24", "latest_commit": "2024-04-12 09:15:37", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "HF Datasets version of Tanaka Corpus.", "url": "https://huggingface.co./datasets/hpprc/tanaka-corpus", "project_name": "tanaka-corpus", "downloads": 11, "source": "Hugging Face", "score": -0.10816796662072489, "first_commit": "2024-03-21 01:49:50", "latest_commit": "2024-03-21 12:50:28", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "common voice, google fleurs, JSUTv1.1, JAS_v2 (joujiboi/japanese-anime-speech-v2)", "url": "https://huggingface.co./datasets/sin2piusc/jgca_v2_50k_2", "project_name": "jgca_v2_50k_2", "downloads": 11, "source": "Hugging Face", "score": -0.10816796662072489, "first_commit": "2024-07-08 18:06:27", "latest_commit": "2024-07-24 18:58:08", "languages": [], "model_or_dataset": "dataset", "model_size": null, "model_architectures": null }, { "description": "Japanese Dictionary", "url": "https://github.com/gojp/nihongo", "project_name": "nihongo", "stargazers_count": 78, "source": "GitHub", "score": -0.1105755451440999, "first_commit": "2013-09-03 00:22:50", "latest_commit": "2024-02-07 18:36:24", "languages": [ "Go", "Python" ], "model_or_dataset": null }, { "description": "A large parallel corpus of English and Japanese", "url": "https://github.com/rpryzant/JESC", "project_name": "JESC", "stargazers_count": 78, "source": "GitHub", "score": -0.1105755451440999, "first_commit": "2017-10-25 07:41:35", "latest_commit": "2017-10-31 21:08:56", "languages": [ "Python" ], "model_or_dataset": "dataset" }, { "description": "Japanese Morphological Analysis written in Rust", "url": "https://github.com/Leko/goya", "project_name": "goya", "stargazers_count": 77, "source": "GitHub", "score": -0.11349858564182218, "first_commit": "2021-09-08 19:51:11", "latest_commit": "2021-12-30 19:44:15", "languages": [ "Rust", "JavaScript", "TypeScript" ], "model_or_dataset": null }, { "description": "Japanese tokenizer for Transformers", "url": "https://github.com/WorksApplications/SudachiTra", "project_name": "SudachiTra", "stargazers_count": 77, "source": "GitHub", "score": -0.11349858564182218, "first_commit": "2021-06-22 19:48:29", "latest_commit": "2023-12-15 08:13:45", "languages": [ "Python" ], "model_or_dataset": "model" }, { "description": "UNICODE絵文字の日本語読み/キーワード/分類辞書", "url": "https://github.com/yagays/emoji-ja", "project_name": "emoji-ja", "stargazers_count": 77, "source": "GitHub", "score": -0.11349858564182218, "first_commit": "2018-08-24 08:25:08", "latest_commit": "2023-05-09 14:57:44", "languages": [ "Python" ], "model_or_dataset": "dataset" }, { "description": "Kyoto University Web Document Leads Corpus", "url": "https://github.com/ku-nlp/KWDLC", "project_name": "KWDLC", "stargazers_count": 75, "source": "GitHub", "score": -0.11934466663726677, "first_commit": "2015-05-20 19:13:17", "latest_commit": "2023-12-18 14:13:14", "languages": [ "Python" ], "model_or_dataset": "dataset" }, { "description": "LLM構築用の日本語チャットデータセット", "url": "https://github.com/masanorihirano/llm-japanese-dataset", "project_name": "llm-japanese-dataset", "stargazers_count": 75, "source": "GitHub", "score": -0.11934466663726677, "first_commit": "2023-04-19 14:34:02", "latest_commit": "2024-01-23 09:37:30", "languages": [ "Python" ], "model_or_dataset": "dataset" }, { "description": "Japanese Realistic Textual Entailment Corpus (NLP 2020, LREC 2020)", "url": "https://github.com/megagonlabs/jrte-corpus", "project_name": "jrte-corpus", "stargazers_count": 75, "source": "GitHub", "score": -0.11934466663726677, "first_commit": "2020-10-15 14:59:37", "latest_commit": "2023-06-23 14:06:26", "languages": [ "Python" ], "model_or_dataset": "dataset" }, { "description": "get japanese manga from url to translate manga image", "url": "https://github.com/ttop32/JMTrans", "project_name": "JMTrans", "stargazers_count": 74, "source": "GitHub", "score": -0.12226770713498906, "first_commit": "2020-08-19 23:30:03", "latest_commit": "2021-01-16 21:44:37", "languages": [ "Python", "C#" ], "model_or_dataset": null }, { "description": "A PyTorch Implementation of japanese chatbot using BERT and Transformer's decoder", "url": "https://github.com/reppy4620/Dialog", "project_name": "Dialog", "stargazers_count": 73, "source": "GitHub", "score": -0.12519074763271135, "first_commit": "2019-09-12 13:05:51", "latest_commit": "2020-10-01 17:25:08", "languages": [ "Python", "Jupyter Notebook" ], "model_or_dataset": "model" }, { "description": "JMdict, JMnedict, KANJIDIC for Yomitan/Yomichan.", "url": "https://github.com/themoeway/jmdict-yomitan", "project_name": "jmdict-yomitan", "stargazers_count": 73, "source": "GitHub", "score": -0.12519074763271135, "first_commit": "2023-09-24 20:01:40", "latest_commit": "2024-07-30 10:44:53", "languages": [ "TypeScript" ], "model_or_dataset": "dataset" }, { "description": "「言語処理100本ノック 2020」をPythonで解く", "url": "https://github.com/upura/nlp100v2020", "project_name": "nlp100v2020", "stargazers_count": 73, "source": "GitHub", "score": -0.12519074763271135, "first_commit": null, "latest_commit": null, "languages": [], "model_or_dataset": null }, { "description": "Laboro BERT Japanese: Japanese BERT Pre-Trained With Web-Corpus", "url": "https://github.com/laboroai/Laboro-BERT-Japanese", "project_name": "Laboro-BERT-Japanese", "stargazers_count": 72, "source": "GitHub", "score": -0.12811378813043364, "first_commit": "2020-03-31 12:05:07", "latest_commit": "2022-05-12 17:06:31", "languages": [ "Python" ], "model_or_dataset": "model" }, { "description": "Resembla: Word-based Japanese similar sentence search library", "url": "https://github.com/tuem/resembla", "project_name": "resembla", "stargazers_count": 71, "source": "GitHub", "score": -0.13103682862815594, "first_commit": "2017-07-24 17:07:39", "latest_commit": "2019-01-27 00:08:52", "languages": [ "C++", "Python", "Ruby" ], "model_or_dataset": null }, { "description": "Unidic packaged for installation via pip.", "url": "https://github.com/polm/unidic-py", "project_name": "unidic-py", "stargazers_count": 71, "source": "GitHub", "score": -0.13103682862815594, "first_commit": "2020-01-05 16:19:49", "latest_commit": "2023-06-16 20:50:30", "languages": [ "Python" ], "model_or_dataset": "dataset" }, { "description": "Utility scripts for preprocessing Wikipedia texts for NLP", "url": "https://github.com/singletongue/wikipedia-utils", "project_name": "wikipedia-utils", "stargazers_count": 71, "source": "GitHub", "score": -0.13103682862815594, "first_commit": "2022-01-09 16:42:14", "latest_commit": "2024-04-10 08:41:09", "languages": [ "Python" ], "model_or_dataset": "dataset" }, { "description": "TinySegmenter用の学習モデルを自作するためのツール．", "url": "https://github.com/shogo82148/TinySegmenterMaker", "project_name": "TinySegmenterMaker", "stargazers_count": 69, "source": "GitHub", "score": -0.13688290962360053, "first_commit": "2012-11-15 22:24:06", "latest_commit": "2022-09-30 13:41:19", "languages": [ "Python", "JavaScript", "C++", "Perl", "Go", "Julia", "Ruby", "Java", "C#" ], "model_or_dataset": null }, { "description": "text-only archives of www.aozora.gr.jp", "url": "https://github.com/aozorahack/aozorabunko_text", "project_name": "aozorabunko_text", "stargazers_count": 69, "source": "GitHub", "score": -0.13688290962360053, "first_commit": "2019-02-11 03:06:07", "latest_commit": "2023-03-22 01:21:29", "languages": [ "Ruby" ], "model_or_dataset": "dataset" }, { "description": "5chの過去ログをスクレイピングして、過去流行った単語(ex, 香具師, orz)などを追跡調査", "url": "https://github.com/GINK03/5ch-analysis", "project_name": "5ch-analysis", "stargazers_count": 67, "source": "GitHub", "score": -0.14272899061904512, "first_commit": "2018-11-11 16:58:44", "latest_commit": "2018-11-11 23:37:16", "languages": [ "Python" ], "model_or_dataset": null }, { "description": "and Romaji", "url": "https://github.com/PSeitz/wana_kana_rust", "project_name": "wana_kana_rust", "stargazers_count": 67, "source": "GitHub", "score": -0.14272899061904512, "first_commit": "2018-02-02 18:39:03", "latest_commit": "2023-01-19 21:51:26", "languages": [ "Rust", "JavaScript" ], "model_or_dataset": null }, { "description": "Japanese CLIP by rinna Co., Ltd.", "url": "https://github.com/rinnakk/japanese-clip", "project_name": "japanese-clip", "stargazers_count": 66, "source": "GitHub", "score": -0.1456520311167674, "first_commit": "2022-04-25 17:19:28", "latest_commit": "2022-07-19 18:20:52", "languages": [ "Python" ], "model_or_dataset": "model" }, { "description": "ニコニコ大百科とピクシブ百科事典の共通部分のIME辞書", "url": "https://github.com/ncaq/dic-nico-intersection-pixiv", "project_name": "dic-nico-intersection-pixiv", "stargazers_count": 66, "source": "GitHub", "score": -0.1456520311167674, "first_commit": "2017-03-09 08:44:44", "latest_commit": "2024-04-19 13:29:16", "languages": [ "Haskell" ], "model_or_dataset": "dataset" }, { "description": "マウスオーバーした単語を自動で読み取る汎用辞書ツール", "url": "https://github.com/kengo700/mouse_over_dictionary", "project_name": "mouse_over_dictionary", "stargazers_count": 66, "source": "GitHub", "score": -0.1456520311167674, "first_commit": "2020-01-09 20:26:17", "latest_commit": "2020-01-24 08:57:39", "languages": [ "C++" ], "model_or_dataset": "dataset" }, { "description": "The Business Scene Dialogue corpus", 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"url": "https://github.com/yohokuno/jsc", "project_name": "jsc", "stargazers_count": 14, "source": "GitHub", "score": -0.2976501369983266, "first_commit": "2012-08-23 16:39:41", "latest_commit": "2012-12-19 18:36:09", "languages": [ "C++" ], "model_or_dataset": null }, { "description": "aMLP Transformer Model for Japanese", "url": "https://github.com/tanreinama/aMLP-japanese", "project_name": "aMLP-japanese", "stargazers_count": 14, "source": "GitHub", "score": -0.2976501369983266, "first_commit": "2021-11-13 16:17:10", "latest_commit": "2022-05-10 14:16:55", "languages": [ "Python" ], "model_or_dataset": "model" }, { "description": "A chatbox application built using Nuxt 3 powered by Open AI Text completion endpoint. 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"description": "最新の日本語Wikipediaのダンプデータから，MeCabを用いてIPA辞書と最新のNeologd辞書の両方で形態素解析を実施し，その結果に基づいた word2vec，fastText，GloVeの単語分散表現を学習するためのスクリプト", "url": "https://github.com/kamigaito/jawiki_word_vector_updater", "project_name": "jawiki_word_vector_updater", "stargazers_count": 11, "source": "GitHub", "score": -0.3064192584914935, "first_commit": "2019-02-13 16:18:58", "latest_commit": "2020-05-07 02:25:19", "languages": [], "model_or_dataset": "model" }, { "description": "Code to train Sentence BERT Japanese model for Hugging Face Model Hub", "url": "https://github.com/colorfulscoop/sbert-ja", "project_name": "sbert-ja", "stargazers_count": 11, "source": "GitHub", "score": -0.3064192584914935, "first_commit": "2021-07-31 01:11:17", "latest_commit": "2021-08-08 15:47:30", "languages": [ "Python" ], "model_or_dataset": "model" }, { "description": "A processor for KyotoCorpus, KWDLC, and AnnotatedFKCCorpus", "url": "https://github.com/ku-nlp/kyoto-reader", "project_name": "kyoto-reader", 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"latest_commit": "2024-01-17 18:05:54", "languages": [], "model_or_dataset": "dataset" }, { "description": "ディープラーニングによる自然言語処理（共立出版）のサポートページです", "url": "https://github.com/python-nlp-book/python-nlp-book", "project_name": "python-nlp-book", "stargazers_count": 10, "source": "GitHub", "score": -0.3093422989892158, "first_commit": "2023-01-28 18:34:33", "latest_commit": "2023-05-07 23:55:27", "languages": [ "Jupyter Notebook" ], "model_or_dataset": null }, { "description": "Easy wrapper for the postal code data of Japan", "url": "https://github.com/nagataaaas/Jusho", "project_name": "Jusho", "stargazers_count": 9, "source": "GitHub", "score": -0.3122653394869381, "first_commit": "2020-11-12 03:39:08", "latest_commit": "2024-06-04 16:03:08", "languages": [ "Python" ], "model_or_dataset": null }, { "description": "Comparison of Japanese Sentence Segmentation Tools", "url": "https://github.com/hkiyomaru/ja-senter-benchmark", "project_name": "ja-senter-benchmark", "stargazers_count": 9, 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