add newer EZO models and Llama 3 tedllm (#386)

* add newer EZO models

* add Llama 3 tedllm

README.md

@@ -45,6 +45,7 @@
 | [Tanuki-8×8B](https://weblab.t.u-tokyo.ac.jp/2024-08-30/) | Tanuki (MoE) (**47b**)<br>([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）<br>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<br>([**22b**-chat](https://huggingface.co/cyberagent/calm3-22b-chat)) | **16,384** | 不明<br>(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<br>([**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)<br>(計 **2.1T** トークン)<br>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-3-3.7b-instruct-EZO](https://huggingface.co/AXCXEPT/llm-jp-3-3.7b-instruct-EZO-Common) | Llama<br>([**3.7b**-instruct-EZO-Common](https://huggingface.co/AXCXEPT/llm-jp-3-3.7b-instruct-EZO-Common), [**3.7b**-instruct-EZO-Humanities](https://huggingface.co/AXCXEPT/llm-jp-3-3.7b-instruct-EZO-Humanities)) | 4,096 | LLM-jp-3 (3.7B) に対して追加学習 | Axcxept | Apache 2.0 |
 | [LLM-jp-13B v2.0](https://www.nii.ac.jp/news/release/2024/0430.html) | Llama<br>([**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)<br>(計 **260B** トークン)<br>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<br>([**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<br>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<br>([**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/)<br>DPO (LoRA): HH RLHF | LLM-jp | Apache 2.0 |
@@ -113,6 +114,7 @@
 | [Llama 3 Youko 8B](https://rinna.co.jp/news/2024/07/20240725.html)<br>([8b](https://huggingface.co/rinna/llama-3-youko-8b), [8b-instruct](https://huggingface.co/rinna/llama-3-youko-8b-instruct), [8b-gptq](https://huggingface.co/rinna/llama-3-youko-8b-gptq), [8b-instruct-gptq](https://huggingface.co/rinna/llama-3-youko-8b-instruct-gptq)) | Llama 3 (**8b**) | 事前学習: Wikipedia, Japanese C4, Japanese CC-100, Japanese OSCAR, The Pile, 独自のデータセット<br>(計 **22B** トークン)<br>Instruction Tuning[^11]: Aya Dataset (Japanese subset), FLAN, Dolly Dataset, HH RLHF, OASST1, OASST2, MetaMathQA, CodeAlpaca Dataset, 独自のデータセット<br>DPO: HelpSteer, HelpSteer2, 独自のデータセット | rinna | Llama 3 Community License |
 | [Llama 3 ELYZA JP 8B](https://note.com/elyza/n/n360b6084fdbd)<br>([8B](https://huggingface.co/elyza/Llama-3-ELYZA-JP-8B), [8B-GGUF](https://huggingface.co/elyza/Llama-3-ELYZA-JP-8B-GGUF), [8B-AWQ](https://huggingface.co/elyza/Llama-3-ELYZA-JP-8B-AWQ)) | Llama 3 (**8b**) | 不明 | ELYZA | Llama 3 Community License |
 | [Llama 3 neoAI 8B Chat v0.1](https://prtimes.jp/main/html/rd/p/000000017.000109048.html)<br>([8B-Chat-v0.1](https://huggingface.co/neoai-inc/Llama-3-neoAI-8B-Chat-v0.1)) | Llama 3 (**8b**) | 不明 | neoAI | Llama 3 Community License |
+| [Llama 3 tedllm](https://www.teldevice.co.jp/pro_info/2024/press_241023.php)<br>([v0](https://huggingface.co/tokyo-electron-device-ai/llama3-tedllm-8b-v0)) | Llama 3 (**8b**) | 事前学習: 日本語の一般コーパス | 東京エレクトロン デバイス | Llama 3 Community License |
 | [Swallow 7B](https://swallow-llm.github.io/swallow-llama.ja.html)<br>([7b-hf](https://huggingface.co/tokyotech-llm/Swallow-7b-hf), [7b-instruct-hf](https://huggingface.co/tokyotech-llm/Swallow-7b-instruct-hf), [7b-instruct-v0.1](https://huggingface.co/tokyotech-llm/Swallow-7b-instruct-v0.1), [7b-NVE-hf](https://huggingface.co/tokyotech-llm/Swallow-7b-NVE-hf), [7b-NVE-instruct-hf](https://huggingface.co/tokyotech-llm/Swallow-7b-NVE-instruct-hf), [7b-plus-hf](https://huggingface.co/tokyotech-llm/Swallow-7b-plus-hf)) | Llama 2 (**7b**) | 事前学習: 日本語 Wikipedia, RefinedWeb, Swallow Corpus, The Pile<br>Instruction Tuning: Dolly Dataset, HH RLHF, OASST1<br>*v0.1モデルでは OASST1, OASST2 を使用 | Swallowプロジェクト | Llama 2 Community License |
 | [LEIA-Swallow-7B](https://www.ousia.jp/ja/page/ja/2024/04/24/leia/)<br>([7b](https://huggingface.co/leia-llm/Leia-Swallow-7b)) | Llama 2 (**7b**) | Swallow 7B に対して LEIA で追加学習 | 個人 ([山田育矢](https://scholar.google.com/citations?user=M7YivToAAAAJ), [李凌寒](https://scholar.google.co.jp/citations?user=z9is5FAAAAAJ)) | Llama 2 Community License |
 | [ELYZA-japanese-Llama-2-7b](https://note.com/elyza/n/na405acaca130)<br> ([7b](https://huggingface.co/elyza/ELYZA-japanese-Llama-2-7b), [7b-instruct](https://huggingface.co/elyza/ELYZA-japanese-Llama-2-7b-instruct), [7b-fast](https://huggingface.co/elyza/ELYZA-japanese-Llama-2-7b-fast), [7b-fast-instruct](https://huggingface.co/elyza/ELYZA-japanese-Llama-2-7b-fast-instruct)) | Llama 2 (**7b**) | 事前学習: 日本語 Wikipedia, Japanese OSCAR, その他クロールデータなど<br>(計 **18B** トークン)<br>Instruction Tuning: 独自のデータセット | ELYZA | Llama 2 Community License |
@@ -157,11 +159,13 @@
 
 |    | ベースのLLM  | 学習テキスト | 開発元  | ライセンス / 利用規約 |
 |:---|:---:|:---:|:---:|:---:|
+| [AXCXEPT/EZO-Qwen2.5-72B-Instruct](https://huggingface.co/AXCXEPT/EZO-Qwen2.5-72B-Instruct)<br>[AXCXEPT/EZO-AutoCoTRAG-Qwen2.5-72B-Instruct_q4](https://huggingface.co/AXCXEPT/EZO-AutoCoTRAG-Qwen2.5-72B-Instruct_q4) | Qwen2.5 (**72b**) || Axcxept | Qwen License |
 | [ao-Karasu](https://note.com/lightblue_tech/n/nfda12435b262)<br>([72B](https://huggingface.co/lightblue/ao-karasu-72B)) | Qwen1.5 (**72b**) | ultra-orca-boros-en-ja-v1, OASST1, ShareGPT, 日本語の公開技術ブログ, ニュース記事, QAサイトの回答, 独自のデータセット | Lightblue |  Tongyi Qianwen LICENSE (?)[^12] |
 | [AXCXEPT/Llama-3.1-70B-EZO-1.1-it](https://huggingface.co/AXCXEPT/Llama-3.1-70B-EZO-1.1-it) | Llama 3.1 (**70b**) || Axcxept | Llama 3.1 Community License |
 | [Llama 3 shisa-v1-llama3-70b](https://huggingface.co/shisa-ai/shisa-v1-llama3-70b)<br>([70b](https://huggingface.co/shisa-ai/shisa-v1-llama3-70b)) | Llama 3 (**70b**) | ultra-orca-boros-en-ja-v1 | Shisa.AI | Llama 3 Community License (?)[^12] |
 | [AIgroup-CVM-utokyohospital/Llama-2-70b-chat-4bit-japanese](https://huggingface.co/AIgroup-CVM-utokyohospital/Llama-2-70b-chat-4bit-japanese) | Llama 2 (**70b**) || 東京大学医学部附属病院 循環器内科 AIグループ | Llama 2 Community License |
 | [doshisha-mil/llama-2-70b-chat-4bit-japanese-v1](https://huggingface.co/doshisha-mil/llama-2-70b-chat-4bit-japanese-v1) | Llama 2 (**70b**) || 同志社大学 メディア情報学研究室 | ？ |
+| [AXCXEPT/EZO-Qwen2.5-32B-Instruct](https://huggingface.co/AXCXEPT/EZO-Qwen2.5-32B-Instruct)<br>[AXCXEPT/EZO-AutoCoTRAG-Qwen2.5-32B-Instruct](https://huggingface.co/AXCXEPT/EZO-AutoCoTRAG-Qwen2.5-32B-Instruct) | Qwen2.5 (**32b**) || Axcxept | Apache 2.0 |
 | [Qarasu](https://www.lightblue-tech.com/2024/01/15/20240115_news/)<br>([14B-chat-plus-unleashed](https://huggingface.co/lightblue/qarasu-14B-chat-plus-unleashed)) | Qwen (**14b**) | ultra-orca-boros-en-ja-v1, OASST1, ShareGPT, 独自のデータセット | Lightblue | Tongyi Qianwen LICENSE (?)[^12] |
 | [Sparticle/llama-2-13b-chat-japanese-lora](https://huggingface.co/Sparticle/llama-2-13b-chat-japanese-lora) | Llama 2 (**13b**) || Sparticle | ？ |
 | [izumi-lab/llama-13b-japanese-lora-v0-1ep](https://huggingface.co/izumi-lab/llama-13b-japanese-lora-v0-1ep) | Llama (**13b**) || 東大 和泉研 |  ？ |
@@ -177,7 +181,9 @@
 | [lightblue/jod](https://huggingface.co/lightblue/jod) | Mistral-7B-SlimOrca (**7b**) || Lightblue | Apache 2.0 |
 | [NTQAI/chatntq-7b-jpntuned](https://huggingface.co/NTQAI/chatntq-7b-jpntuned) | RWKV-4 World (**7b**) || NTQ Solution |  ？  |
 | [Borea](https://prtimes.jp/main/html/rd/p/000000008.000129878.html)<br>([Jp](https://huggingface.co/AXCXEPT/Borea-Phi-3.5-mini-Instruct-Jp), [Common](https://huggingface.co/AXCXEPT/Borea-Phi-3.5-mini-Instruct-Common), [Coding](https://huggingface.co/AXCXEPT/Borea-Phi-3.5-mini-Instruct-Coding)) | Phi-3.5 (**3.8b**) | | Axcxept | MIT |
+| [AXCXEPT/EZO-Llama-3.2-3B-Instruct-dpoE](https://huggingface.co/AXCXEPT/EZO-Llama-3.2-3B-Instruct-dpoE) | Llama 3.2 (**3b**) || Axcxept | Llama 3.2 Community License |
 | [日本語版 Gemma 2 2B](https://developers-jp.googleblog.com/2024/10/gemma-2-for-japan.html)<br>([2b-jpn-it](https://huggingface.co/google/gemma-2-2b-jpn-it)) | Gemma 2 (**2b**) || Google | Gemma Terms of Use |
+| [AXCXEPT/EZO-gemma-2-2b-jpn-it](https://huggingface.co/AXCXEPT/EZO-gemma-2-2b-jpn-it) | Gemma 2 (**2b**) || Axcxept | Gemma Terms of Use |
 | [AXCXEPT/EZO-Common-T2-2B-gemma-2-it](https://huggingface.co/AXCXEPT/EZO-Common-T2-2B-gemma-2-it) | Gemma 2 (**2b**) || Axcxept | Gemma Terms of Use |
 
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