diff --git a/README.md b/README.md index b41d118..a0c6f7b 100644 --- a/README.md +++ b/README.md @@ -36,12 +36,13 @@ | | アーキテクチャ | 入出力で扱える
トークン数 | 学習テキスト | 開発元 | ライセンス | |:---|:---:|:---:|:---:|:---:|:---:| -| [LLM-jp-3 172B beta1](https://www.nii.ac.jp/news/release/2024/0917.html) | Llama
([**172b**-beta1](https://huggingface.co/llm-jp/llm-jp-3-172b-beta1), [**172b**-beta1-instruct](https://huggingface.co/llm-jp/llm-jp-3-172b-beta1-instruct)) | 4,096 | 事前学習: [llm-jp-corpus-v3](https://gitlab.llm-jp.nii.ac.jp/datasets/llm-jp-corpus-v3)の一部
(計 **700B** トークン)
Instruction Tuning: [ichikara-instruction](https://liat-aip.sakura.ne.jp/wp/llm%E3%81%AE%E3%81%9F%E3%82%81%E3%81%AE%E6%97%A5%E6%9C%AC%E8%AA%9E%E3%82%A4%E3%83%B3%E3%82%B9%E3%83%88%E3%83%A9%E3%82%AF%E3%82%B7%E3%83%A7%E3%83%B3%E3%83%87%E3%83%BC%E3%82%BF%E4%BD%9C%E6%88%90/), [answer-carefully](https://liat-aip.sakura.ne.jp/wp/answercarefully-dataset/), Dolly Dataset, OASST1, OASST2, Aya Dataset, ichikara-instruction-format, Daring-Anteater, FLAN | LLM研究開発センター (LLMC) | LLM-jp-3 172B beta1 Terms of Use | +| [LLM-jp-3 172B beta1](https://www.nii.ac.jp/news/release/2024/0917.html) | Llama
([**172b**-beta1](https://huggingface.co/llm-jp/llm-jp-3-172b-beta1), [**172b**-beta1-instruct](https://huggingface.co/llm-jp/llm-jp-3-172b-beta1-instruct)) | 4,096 | 事前学習: [llm-jp-corpus-v3](https://gitlab.llm-jp.nii.ac.jp/datasets/llm-jp-corpus-v3)の一部
(計 **700B** トークン)
Instruction Tuning: [ichikara-instruction](https://liat-aip.sakura.ne.jp/wp/llm%E3%81%AE%E3%81%9F%E3%82%81%E3%81%AE%E6%97%A5%E6%9C%AC%E8%AA%9E%E3%82%A4%E3%83%B3%E3%82%B9%E3%83%88%E3%83%A9%E3%82%AF%E3%82%B7%E3%83%A7%E3%83%B3%E3%83%87%E3%83%BC%E3%82%BF%E4%BD%9C%E6%88%90/), [answer-carefully](https://liat-aip.sakura.ne.jp/wp/answercarefully-dataset/), Dolly Dataset, OASST1, OASST2, Aya Dataset, ichikara-instruction-format, Daring-Anteater, FLAN | 大規模言語モデル研究開発センター (LLMC) | LLM-jp-3 172B beta1 Terms of Use | | [Stockmark-100b](https://stockmark.co.jp/news/20240516) | Llama
([**100b**](https://huggingface.co/stockmark/stockmark-100b), [**100b**-instruct-v0.1](https://huggingface.co/stockmark/stockmark-100b-instruct-v0.1)) | 4,096 | 事前学習: RedPajama, 日本語 Wikipedia, Japanese mC4, Japanese CommonCrawl, 日本語特許, Stockmark Web Corpus
(計 **910B** トークン)
Instruction Tuning (LoRA): [ichikara-instruction](https://liat-aip.sakura.ne.jp/wp/llm%E3%81%AE%E3%81%9F%E3%82%81%E3%81%AE%E6%97%A5%E6%9C%AC%E8%AA%9E%E3%82%A4%E3%83%B3%E3%82%B9%E3%83%88%E3%83%A9%E3%82%AF%E3%82%B7%E3%83%A7%E3%83%B3%E3%83%87%E3%83%BC%E3%82%BF%E4%BD%9C%E6%88%90/) | ストックマーク | MIT | | [Sarashina2](https://www.sbintuitions.co.jp/news/press/20240614_01/) | Llama
([**7b**](https://huggingface.co/sbintuitions/sarashina2-7b), [**13b**](https://huggingface.co/sbintuitions/sarashina2-13b), [**70b**](https://huggingface.co/sbintuitions/sarashina2-70b)) | 7b, 13b: 4,096
70b: 8,192 | 事前学習: Japanese Common Crawl, SlimPajama, StarCoder
(計 **2.1T** トークン) | SB Intuitions | MIT | | [Sarashina1](https://www.sbintuitions.co.jp/news/press/20240614_01/) | GPT-NeoX
([**7b**](https://huggingface.co/sbintuitions/sarashina1-7b), [**13b**](https://huggingface.co/sbintuitions/sarashina1-13b), [**65b**](https://huggingface.co/sbintuitions/sarashina1-65b)) | 2,048 | 事前学習: Japanese Common Crawl
(計 **1T** トークン) | SB Intuitions | MIT | | [Tanuki-8×8B](https://weblab.t.u-tokyo.ac.jp/2024-08-30/) | Tanuki (MoE) (**47b**)
([v1.0](https://huggingface.co/weblab-GENIAC/Tanuki-8x8B-dpo-v1.0), [v1.0-AWQ](https://huggingface.co/team-hatakeyama-phase2/Tanuki-8x8B-dpo-v1.0-AWQ), [v1.0-GPTQ-4bit](https://huggingface.co/team-hatakeyama-phase2/Tanuki-8x8B-dpo-v1.0-GPTQ-4bit), [v1.0-GPTQ-8bit](https://huggingface.co/team-hatakeyama-phase2/Tanuki-8x8B-dpo-v1.0-GPTQ-8bit), [v1.0-GGUF](https://huggingface.co/team-hatakeyama-phase2/Tanuki-8x8B-dpo-v1.0-GGUF)) | 4,096 | 事前学習: 様々な Web 上のデータ, 合成データ（計 **1.7T** トークン）
SFT, DPO: 様々な合成データ [^19] | 松尾研LLM開発プロジェクト | Apache 2.0 | | [CyberAgentLM3 (CALM3)](https://www.cyberagent.co.jp/news/detail/id=30463) | Llama
([**22b**-chat](https://huggingface.co/cyberagent/calm3-22b-chat)) | **16,384** | 不明
(計 **2.0T** トークン) | サイバーエージェント | Apache 2.0 | +| [LLM-jp-3 13B](https://llmc.nii.ac.jp/topics/post-707/) | Llama
([**1.8b**](https://huggingface.co/llm-jp/llm-jp-3-1.8b), [**1.8b**-instruct](https://huggingface.co/llm-jp/llm-jp-3-1.8b-instruct), [**3.7b**](https://huggingface.co/llm-jp/llm-jp-3-3.7b), [**3.7b**-instruct](https://huggingface.co/llm-jp/llm-jp-3-3.7b-instruct), [**13b**](https://huggingface.co/llm-jp/llm-jp-3-13b), [**13b**-instruct](https://huggingface.co/llm-jp/llm-jp-3-13b-instruct)) | 4,096 | 事前学習: [llm-jp-corpus-v3](https://gitlab.llm-jp.nii.ac.jp/datasets/llm-jp-corpus-v3)
(計 **2.1T** トークン)
Instruction Tuning: [ichikara-instruction](https://liat-aip.sakura.ne.jp/wp/llm%E3%81%AE%E3%81%9F%E3%82%81%E3%81%AE%E6%97%A5%E6%9C%AC%E8%AA%9E%E3%82%A4%E3%83%B3%E3%82%B9%E3%83%88%E3%83%A9%E3%82%AF%E3%82%B7%E3%83%A7%E3%83%B3%E3%83%87%E3%83%BC%E3%82%BF%E4%BD%9C%E6%88%90/), [answer-carefully](https://liat-aip.sakura.ne.jp/wp/answercarefully-dataset/), FLAN, ichikara-instruction-format, AutoMultiTurnByCalm3-22B, ramdom-to-fixed-multiturn-Calm3, wizardlm8x22b-logical-math-coding-sft_additional-ja, Synthetic-JP-EN-Coding-Dataset-567k | 大規模言語モデル研究開発センター (LLMC) | Apache 2.0 | | [LLM-jp-13B v2.0](https://www.nii.ac.jp/news/release/2024/0430.html) | Llama
([**13b**-v2.0](https://huggingface.co/llm-jp/llm-jp-13b-v2.0), [**13b**-instruct-full-dolly-ichikara_004_001_single-oasst-oasst2-v2.0](https://huggingface.co/llm-jp/llm-jp-13b-instruct-full-dolly-ichikara_004_001_single-oasst-oasst2-v2.0), [**13b**-instruct-full-ac_001-dolly-ichikara_004_001_single-oasst-oasst2-v2.0](https://huggingface.co/llm-jp/llm-jp-13b-instruct-full-ac_001-dolly-ichikara_004_001_single-oasst-oasst2-v2.0), [**13b**-instruct-full-ac_001_16x-dolly-ichikara_004_001_single-oasst-oasst2-v2.0](https://huggingface.co/llm-jp/llm-jp-13b-instruct-full-ac_001_16x-dolly-ichikara_004_001_single-oasst-oasst2-v2.0)) | 4,096 | 事前学習: [llm-jp-corpus-v2](https://gitlab.llm-jp.nii.ac.jp/datasets/llm-jp-corpus-v2)
(計 **260B** トークン)
Instruction Tuning: [ichikara-instruction](https://liat-aip.sakura.ne.jp/wp/llm%E3%81%AE%E3%81%9F%E3%82%81%E3%81%AE%E6%97%A5%E6%9C%AC%E8%AA%9E%E3%82%A4%E3%83%B3%E3%82%B9%E3%83%88%E3%83%A9%E3%82%AF%E3%82%B7%E3%83%A7%E3%83%B3%E3%83%87%E3%83%BC%E3%82%BF%E4%BD%9C%E6%88%90/), [answer-carefully](https://liat-aip.sakura.ne.jp/wp/answercarefully-dataset/), Dolly Dataset, OASST1, OASST2 | LLM-jp | Apache 2.0 | | [Fugaku-LLM](https://pr.fujitsu.com/jp/news/2024/05/10.html) | GPT
([**13B**](https://huggingface.co/Fugaku-LLM/Fugaku-LLM-13B), [**13B**-instruct](https://huggingface.co/Fugaku-LLM/Fugaku-LLM-13B-instruct), [**13B**-instruct-gguf](https://huggingface.co/Fugaku-LLM/Fugaku-LLM-13B-instruct-gguf)) | 2,048 | 事前学習: 独自
Instruction Tuning: OASST1, Dolly Dataset, GSM8K | 東工大, 東北大, 富士通, 理研, 名大, サイバーエージェント, Kotoba Technologies | Fugaku-LLM Terms of Use | | [LLM-jp-13B v1.1](https://llm-jp.nii.ac.jp/blog/2024/02/09/v1.1-tuning.html) | GPT
([**13b**-instruct-lora-dolly_en-dolly_ja-ichikara_003_001-oasst_en-oasst_ja-v1.1](https://huggingface.co/llm-jp/llm-jp-13b-instruct-lora-dolly_en-dolly_ja-ichikara_003_001-oasst_en-oasst_ja-v1.1), [**13b**-instruct-full-dolly_en-dolly_ja-ichikara_003_001-oasst_en-oasst_ja-v1.1](https://huggingface.co/llm-jp/llm-jp-13b-instruct-full-dolly_en-dolly_ja-ichikara_003_001-oasst_en-oasst_ja-v1.1), [**13b**-dpo-lora-hh_rlhf_ja-v1.1](https://huggingface.co/llm-jp/llm-jp-13b-dpo-lora-hh_rlhf_ja-v1.1)) | 2,048 | Instruction Tuning (LoRA or Full-parameter FT): Dolly Dataset, OASST1, [ichikara-instruction](https://liat-aip.sakura.ne.jp/wp/llm%E3%81%AE%E3%81%9F%E3%82%81%E3%81%AE%E6%97%A5%E6%9C%AC%E8%AA%9E%E3%82%A4%E3%83%B3%E3%82%B9%E3%83%88%E3%83%A9%E3%82%AF%E3%82%B7%E3%83%A7%E3%83%B3%E3%83%87%E3%83%BC%E3%82%BF%E4%BD%9C%E6%88%90/)
DPO (LoRA): HH RLHF | LLM-jp | Apache 2.0 | diff --git a/en/README.md b/en/README.md index 41be4e2..c0d20a8 100644 --- a/en/README.md +++ b/en/README.md @@ -41,6 +41,7 @@ Please point out any errors on the [issues page](https://github.com/llm-jp/aweso | [Sarashina1](https://www.sbintuitions.co.jp/news/press/20240614_01/) | GPT-NeoX
([**7b**](https://huggingface.co/sbintuitions/sarashina1-7b), [**13b**](https://huggingface.co/sbintuitions/sarashina1-13b), [**65b**](https://huggingface.co/sbintuitions/sarashina1-65b)) | 2,048 | Pre-training: Japanese Common Crawl
(**1T** tokens) | SB Intuitions | MIT | | [Tanuki-8×8B](https://weblab.t.u-tokyo.ac.jp/2024-08-30/) | Tanuki (MoE) (**47b**)
([v1.0](https://huggingface.co/weblab-GENIAC/Tanuki-8x8B-dpo-v1.0), [v1.0-AWQ](https://huggingface.co/team-hatakeyama-phase2/Tanuki-8x8B-dpo-v1.0-AWQ), [v1.0-GPTQ-4bit](https://huggingface.co/team-hatakeyama-phase2/Tanuki-8x8B-dpo-v1.0-GPTQ-4bit), [v1.0-GPTQ-8bit](https://huggingface.co/team-hatakeyama-phase2/Tanuki-8x8B-dpo-v1.0-GPTQ-8bit), [v1.0-GGUF](https://huggingface.co/team-hatakeyama-phase2/Tanuki-8x8B-dpo-v1.0-GGUF)) | 4,096 | Pre-training: various Web & synthetic datasets（**1.7T** tokens）
SFT, DPO: various synthetic datasets [^19] | Matsuo Lab LLM Development Project | Apache 2.0 | | [CyberAgentLM3 (CALM3)](https://huggingface.co/cyberagent/calm3-22b-chat) | Llama
([**22b**-chat](https://huggingface.co/cyberagent/calm3-22b-chat)) | **16,384** | undisclosed
(**2.0T** tokens) | CyberAgent | Apache 2.0 | +| [LLM-jp-3 13B](https://llmc.nii.ac.jp/topics/post-707/) | Llama
([**1.8b**](https://huggingface.co/llm-jp/llm-jp-3-1.8b), [**1.8b**-instruct](https://huggingface.co/llm-jp/llm-jp-3-1.8b-instruct), [**3.7b**](https://huggingface.co/llm-jp/llm-jp-3-3.7b), [**3.7b**-instruct](https://huggingface.co/llm-jp/llm-jp-3-3.7b-instruct), [**13b**](https://huggingface.co/llm-jp/llm-jp-3-13b), [**13b**-instruct](https://huggingface.co/llm-jp/llm-jp-3-13b-instruct)) | 4,096 | Pre-training: [llm-jp-corpus-v3](https://gitlab.llm-jp.nii.ac.jp/datasets/llm-jp-corpus-v3)
(**2.1T** tokens)
Instruction Tuning: [ichikara-instruction](https://liat-aip.sakura.ne.jp/wp/llm%E3%81%AE%E3%81%9F%E3%82%81%E3%81%AE%E6%97%A5%E6%9C%AC%E8%AA%9E%E3%82%A4%E3%83%B3%E3%82%B9%E3%83%88%E3%83%A9%E3%82%AF%E3%82%B7%E3%83%A7%E3%83%B3%E3%83%87%E3%83%BC%E3%82%BF%E4%BD%9C%E6%88%90/), [answer-carefully](https://liat-aip.sakura.ne.jp/wp/answercarefully-dataset/), FLAN, ichikara-instruction-format, AutoMultiTurnByCalm3-22B, ramdom-to-fixed-multiturn-Calm3, wizardlm8x22b-logical-math-coding-sft_additional-ja, Synthetic-JP-EN-Coding-Dataset-567k | Research and Development Center for Large Language Models (LLMC) | Apache 2.0 | | [LLM-jp-13B v2.0](https://huggingface.co/llm-jp/llm-jp-13b-v2.0) | Llama
([**13b**-v2.0](https://huggingface.co/llm-jp/llm-jp-13b-v2.0), [**13b**-instruct-full-dolly-ichikara_004_001_single-oasst-oasst2-v2.0](https://huggingface.co/llm-jp/llm-jp-13b-instruct-full-dolly-ichikara_004_001_single-oasst-oasst2-v2.0), [**13b**-instruct-full-ac_001-dolly-ichikara_004_001_single-oasst-oasst2-v2.0](https://huggingface.co/llm-jp/llm-jp-13b-instruct-full-ac_001-dolly-ichikara_004_001_single-oasst-oasst2-v2.0), [**13b**-instruct-full-ac_001_16x-dolly-ichikara_004_001_single-oasst-oasst2-v2.0](https://huggingface.co/llm-jp/llm-jp-13b-instruct-full-ac_001_16x-dolly-ichikara_004_001_single-oasst-oasst2-v2.0)) | 4,096 | Pre-training: [llm-jp-corpus-v2](https://gitlab.llm-jp.nii.ac.jp/datasets/llm-jp-corpus-v2)
(**260B** tokens)
Instruction Tuning: [ichikara-instruction](https://liat-aip.sakura.ne.jp/wp/llm%E3%81%AE%E3%81%9F%E3%82%81%E3%81%AE%E6%97%A5%E6%9C%AC%E8%AA%9E%E3%82%A4%E3%83%B3%E3%82%B9%E3%83%88%E3%83%A9%E3%82%AF%E3%82%B7%E3%83%A7%E3%83%B3%E3%83%87%E3%83%BC%E3%82%BF%E4%BD%9C%E6%88%90/), [answer-carefully](https://liat-aip.sakura.ne.jp/wp/answercarefully-dataset/), Dolly Dataset, OASST1, OASST2 | LLM-jp | Apache 2.0 | | [Fugaku-LLM](https://www.fujitsu.com/global/about/resources/news/press-releases/2024/0510-01.html) | GPT
([**13B**](https://huggingface.co/Fugaku-LLM/Fugaku-LLM-13B), [**13B**-instruct](https://huggingface.co/Fugaku-LLM/Fugaku-LLM-13B-instruct), [**13B**-instruct-gguf](https://huggingface.co/Fugaku-LLM/Fugaku-LLM-13B-instruct-gguf)) | 2,048 | Pre-training: undisclosed dataset
Instruction Tuning: OASST1, Dolly Dataset, GSM8K | Titech, Tohoku Univ., Fujitsu, RIKEN, Nagoya Univ., CyberAgent, Kotoba Technologies | Fugaku-LLM Terms of Use | | [LLM-jp-13B v1.1](https://llm-jp.nii.ac.jp/blog/2024/02/09/v1.1-tuning.html) | GPT
([**13b**-instruct-lora-dolly_en-dolly_ja-ichikara_003_001-oasst_en-oasst_ja-v1.1](https://huggingface.co/llm-jp/llm-jp-13b-instruct-lora-dolly_en-dolly_ja-ichikara_003_001-oasst_en-oasst_ja-v1.1), [**13b**-instruct-full-dolly_en-dolly_ja-ichikara_003_001-oasst_en-oasst_ja-v1.1](https://huggingface.co/llm-jp/llm-jp-13b-instruct-full-dolly_en-dolly_ja-ichikara_003_001-oasst_en-oasst_ja-v1.1), [**13b**-dpo-lora-hh_rlhf_ja-v1.1](https://huggingface.co/llm-jp/llm-jp-13b-dpo-lora-hh_rlhf_ja-v1.1)) | 2,048 | Instruction Tuning (LoRA or Full-parameter FT): Dolly Dataset, OASST1, [ichikara-instruction](https://liat-aip.sakura.ne.jp/wp/llm%E3%81%AE%E3%81%9F%E3%82%81%E3%81%AE%E6%97%A5%E6%9C%AC%E8%AA%9E%E3%82%A4%E3%83%B3%E3%82%B9%E3%83%88%E3%83%A9%E3%82%AF%E3%82%B7%E3%83%A7%E3%83%B3%E3%83%87%E3%83%BC%E3%82%BF%E4%BD%9C%E6%88%90/)
DPO (LoRA): HH RLHF | LLM-jp | Apache 2.0 | diff --git a/figures/parameter_size_overview_en.png b/figures/parameter_size_overview_en.png index b04196f..7954839 100644 Binary files a/figures/parameter_size_overview_en.png and b/figures/parameter_size_overview_en.png differ diff --git a/figures/parameter_size_overview_ja.png b/figures/parameter_size_overview_ja.png index df07296..aac4dfc 100644 Binary files a/figures/parameter_size_overview_ja.png and b/figures/parameter_size_overview_ja.png differ diff --git a/figures/scripts/parameter_size_overview_ja.csv b/figures/scripts/parameter_size_overview_ja.csv index 966b136..36eb503 100644 --- a/figures/scripts/parameter_size_overview_ja.csv +++ b/figures/scripts/parameter_size_overview_ja.csv @@ -13,6 +13,7 @@ Youri,rinna,7,2023/10/31,JP-available-CP,https://rinna.co.jp/news/2023/10/202310 Llama 3 Swallow,Swallow Project,70,2024/7/1,JP-available-CP,https://swallow-llm.github.io/llama3-swallow.ja.html Swallow-MX,Swallow Project,46.7,2024/03/11,JP-available-CP,https://tokyotech-llm.github.io/swallow-mistral Swallow,Swallow Project,70,2023/12/19,JP-available-CP,https://tokyotech-llm.github.io/blog/swallow-llama +LLM-jp-3 13B,LLMC,13,2024/09/25,JP-available,https://llmc.nii.ac.jp/topics/post-707/ LLM-jp-3 172B beta1,LLMC,172,2024/09/17,JP-available,https://www.nii.ac.jp/news/release/2024/0917.html LLM-jp-13B v2.0,LLM-jp,13,2024/04/30,JP-available,https://www.nii.ac.jp/news/release/2024/0430.html LLM-jp-13B,LLM-jp,13,2023/10/20,JP-available,https://www.nii.ac.jp/news/release/2023/1020.html diff --git a/fr/README.md b/fr/README.md index 247f4f6..baedd1c 100644 --- a/fr/README.md +++ b/fr/README.md @@ -41,6 +41,7 @@ N'hésitez pas à signaler les erreurs sur la page [issues](https://github.com/l | [Sarashina1](https://www.sbintuitions.co.jp/news/press/20240614_01/) | GPT-NeoX
([**7b**](https://huggingface.co/sbintuitions/sarashina1-7b), [**13b**](https://huggingface.co/sbintuitions/sarashina1-13b), [**65b**](https://huggingface.co/sbintuitions/sarashina1-65b)) | 2,048 | Pre-training: Japanese Common Crawl
(**1T** tokens) | SB Intuitions | MIT | | [Tanuki-8×8B](https://weblab.t.u-tokyo.ac.jp/2024-08-30/) | Tanuki (MoE) (**47b**)
([v1.0](https://huggingface.co/weblab-GENIAC/Tanuki-8x8B-dpo-v1.0), [v1.0-AWQ](https://huggingface.co/team-hatakeyama-phase2/Tanuki-8x8B-dpo-v1.0-AWQ), [v1.0-GPTQ-4bit](https://huggingface.co/team-hatakeyama-phase2/Tanuki-8x8B-dpo-v1.0-GPTQ-4bit), [v1.0-GPTQ-8bit](https://huggingface.co/team-hatakeyama-phase2/Tanuki-8x8B-dpo-v1.0-GPTQ-8bit), [v1.0-GGUF](https://huggingface.co/team-hatakeyama-phase2/Tanuki-8x8B-dpo-v1.0-GGUF)) | 4,096 | Pre-training: various Web & synthetic datasets（**1.7T** tokens）
SFT, DPO: various synthetic datasets [^19] | Matsuo Lab LLM Development Project | Apache 2.0 | | [CyberAgentLM3 (CALM3)](https://huggingface.co/cyberagent/calm3-22b-chat) | Llama
([**22b**-chat](https://huggingface.co/cyberagent/calm3-22b-chat)) | **16,384** | undisclosed
(**2.0T** tokens) | CyberAgent | Apache 2.0 | +| [LLM-jp-3 13B](https://llmc.nii.ac.jp/topics/post-707/) | Llama
([**1.8b**](https://huggingface.co/llm-jp/llm-jp-3-1.8b), [**1.8b**-instruct](https://huggingface.co/llm-jp/llm-jp-3-1.8b-instruct), [**3.7b**](https://huggingface.co/llm-jp/llm-jp-3-3.7b), [**3.7b**-instruct](https://huggingface.co/llm-jp/llm-jp-3-3.7b-instruct), [**13b**](https://huggingface.co/llm-jp/llm-jp-3-13b), [**13b**-instruct](https://huggingface.co/llm-jp/llm-jp-3-13b-instruct)) | 4,096 | Pre-training: [llm-jp-corpus-v3](https://gitlab.llm-jp.nii.ac.jp/datasets/llm-jp-corpus-v3)
(**2.1T** tokens)
Instruction Tuning: [ichikara-instruction](https://liat-aip.sakura.ne.jp/wp/llm%E3%81%AE%E3%81%9F%E3%82%81%E3%81%AE%E6%97%A5%E6%9C%AC%E8%AA%9E%E3%82%A4%E3%83%B3%E3%82%B9%E3%83%88%E3%83%A9%E3%82%AF%E3%82%B7%E3%83%A7%E3%83%B3%E3%83%87%E3%83%BC%E3%82%BF%E4%BD%9C%E6%88%90/), [answer-carefully](https://liat-aip.sakura.ne.jp/wp/answercarefully-dataset/), FLAN, ichikara-instruction-format, AutoMultiTurnByCalm3-22B, ramdom-to-fixed-multiturn-Calm3, wizardlm8x22b-logical-math-coding-sft_additional-ja, Synthetic-JP-EN-Coding-Dataset-567k | Research and Development Center for Large Language Models (LLMC) | Apache 2.0 | | [LLM-jp-13B v2.0](https://huggingface.co/llm-jp/llm-jp-13b-v2.0) | Llama
([**13b**-v2.0](https://huggingface.co/llm-jp/llm-jp-13b-v2.0), [**13b**-instruct-full-dolly-ichikara_004_001_single-oasst-oasst2-v2.0](https://huggingface.co/llm-jp/llm-jp-13b-instruct-full-dolly-ichikara_004_001_single-oasst-oasst2-v2.0), [**13b**-instruct-full-ac_001-dolly-ichikara_004_001_single-oasst-oasst2-v2.0](https://huggingface.co/llm-jp/llm-jp-13b-instruct-full-ac_001-dolly-ichikara_004_001_single-oasst-oasst2-v2.0), [**13b**-instruct-full-ac_001_16x-dolly-ichikara_004_001_single-oasst-oasst2-v2.0](https://huggingface.co/llm-jp/llm-jp-13b-instruct-full-ac_001_16x-dolly-ichikara_004_001_single-oasst-oasst2-v2.0)) | 4,096 | Pre-training: [llm-jp-corpus-v2](https://gitlab.llm-jp.nii.ac.jp/datasets/llm-jp-corpus-v2)
(**260B** tokens)
Instruction Tuning: [ichikara-instruction](https://liat-aip.sakura.ne.jp/wp/llm%E3%81%AE%E3%81%9F%E3%82%81%E3%81%AE%E6%97%A5%E6%9C%AC%E8%AA%9E%E3%82%A4%E3%83%B3%E3%82%B9%E3%83%88%E3%83%A9%E3%82%AF%E3%82%B7%E3%83%A7%E3%83%B3%E3%83%87%E3%83%BC%E3%82%BF%E4%BD%9C%E6%88%90/), [answer-carefully](https://liat-aip.sakura.ne.jp/wp/answercarefully-dataset/), Dolly Dataset, OASST1, OASST2 | LLM-jp | Apache 2.0 | | [Fugaku-LLM](https://www.fujitsu.com/global/about/resources/news/press-releases/2024/0510-01.html) | GPT
([**13B**](https://huggingface.co/Fugaku-LLM/Fugaku-LLM-13B), [**13B**-instruct](https://huggingface.co/Fugaku-LLM/Fugaku-LLM-13B-instruct), [**13B**-instruct-gguf](https://huggingface.co/Fugaku-LLM/Fugaku-LLM-13B-instruct-gguf)) | 2,048 | Pre-training: undisclosed dataset
Instruction Tuning: OASST1, Dolly Dataset, GSM8K | Titech, Tohoku Univ., Fujitsu, RIKEN, Nagoya Univ., CyberAgent, Kotoba Technologies | Fugaku-LLM Terms of Use | | [LLM-jp-13B v1.1](https://llm-jp.nii.ac.jp/blog/2024/02/09/v1.1-tuning.html) | GPT
([**13b**-instruct-lora-dolly_en-dolly_ja-ichikara_003_001-oasst_en-oasst_ja-v1.1](https://huggingface.co/llm-jp/llm-jp-13b-instruct-lora-dolly_en-dolly_ja-ichikara_003_001-oasst_en-oasst_ja-v1.1), [**13b**-instruct-full-dolly_en-dolly_ja-ichikara_003_001-oasst_en-oasst_ja-v1.1](https://huggingface.co/llm-jp/llm-jp-13b-instruct-full-dolly_en-dolly_ja-ichikara_003_001-oasst_en-oasst_ja-v1.1), [**13b**-dpo-lora-hh_rlhf_ja-v1.1](https://huggingface.co/llm-jp/llm-jp-13b-dpo-lora-hh_rlhf_ja-v1.1)) | 2,048 | Instruction Tuning (LoRA or Full-parameter FT): Dolly Dataset, OASST1, [ichikara-instruction](https://liat-aip.sakura.ne.jp/wp/llm%E3%81%AE%E3%81%9F%E3%82%81%E3%81%AE%E6%97%A5%E6%9C%AC%E8%AA%9E%E3%82%A4%E3%83%B3%E3%82%B9%E3%83%88%E3%83%A9%E3%82%AF%E3%82%B7%E3%83%A7%E3%83%B3%E3%83%87%E3%83%BC%E3%82%BF%E4%BD%9C%E6%88%90/)
DPO (LoRA): HH RLHF | LLM-jp | Apache 2.0 |