commit f51a873218d20d99f09e4baf4cc676ce599e5441 Author: ModelHub XC Date: Fri Jun 19 15:41:13 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: alfredplpl/Llama-3-8B-Instruct-Ja Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..21b3632 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,49 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bin.* filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zstandard filter=lfs diff=lfs merge=lfs -text +*.tfevents* filter=lfs diff=lfs merge=lfs -text +*.db* filter=lfs diff=lfs merge=lfs -text +*.ark* filter=lfs diff=lfs merge=lfs -text +**/*ckpt*data* filter=lfs diff=lfs merge=lfs -text +**/*ckpt*.meta filter=lfs diff=lfs merge=lfs -text +**/*ckpt*.index filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.gguf* filter=lfs diff=lfs merge=lfs -text +*.ggml filter=lfs diff=lfs merge=lfs -text +*.llamafile* filter=lfs diff=lfs merge=lfs -text +*.pt2 filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text + +tokenizer.json filter=lfs diff=lfs merge=lfs -text \ No newline at end of file diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..4c76339 --- /dev/null +++ b/LICENSE @@ -0,0 +1,117 @@ +META LLAMA 3 COMMUNITY LICENSE AGREEMENT +Meta Llama 3 Version Release Date: April 18, 2024 + +“Agreement” means the terms and conditions for use, reproduction, distribution and modification of the +Llama Materials set forth herein. + +“Documentation” means the specifications, manuals and documentation accompanying Meta Llama 3 +distributed by Meta at https://llama.meta.com/get-started/. + +“Licensee” or “you” means you, or your employer or any other person or entity (if you are entering into +this Agreement on such person or entity’s behalf), of the age required under applicable laws, rules or +regulations to provide legal consent and that has legal authority to bind your employer or such other +person or entity if you are entering in this Agreement on their behalf. + +“Meta Llama 3” means the foundational large language models and software and algorithms, including +machine-learning model code, trained model weights, inference-enabling code, training-enabling code, +fine-tuning enabling code and other elements of the foregoing distributed by Meta at +https://llama.meta.com/llama-downloads. + +“Llama Materials” means, collectively, Meta’s proprietary Meta Llama 3 and Documentation (and any +portion thereof) made available under this Agreement. + +“Meta” or “we” means Meta Platforms Ireland Limited (if you are located in or, if you are an entity, your +principal place of business is in the EEA or Switzerland) and Meta Platforms, Inc. 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The courts of California shall have +exclusive jurisdiction of any dispute arising out of this Agreement. \ No newline at end of file diff --git a/README.md b/README.md new file mode 100644 index 0000000..b98948a --- /dev/null +++ b/README.md @@ -0,0 +1,110 @@ +--- +language: +- en +- ja +license: other +library_name: transformers +tags: +- facebook +- meta +- pytorch +- llama +- llama-3 +base_model: meta-llama/Meta-Llama-3-8B-Instruct +datasets: +- cl-nagoya/auto-wiki-qa +- llm-jp/databricks-dolly-15k-ja +license_name: llama3 +license_link: LICENSE +--- + +# 日本語向け Llama 3 8B + +![eyecatch](eyecatch.webp) + +# 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。**4/23に更新**したため、新しくダウンロードすることをオススメします。 + +# ライセンス +[Llama 3 ライセンス](LICENSE)なので商用利用可能です。ただし、Llama 3ライセンスをよく読んで使ってください。 + +# 使い方 + +手っ取り早くやるなら[デモ](https://huggingface.co/spaces/alfredplpl/Llama-3-8B-Instruct-Ja-Demo)を使ってください。次点は[Colab](https://colab.research.google.com/drive/1le0T54BOr72dFeeCFtKxcTDBdIrnr7f6?usp=sharing)がおすすめです。 +ローカルでやる場合は次のとおりです。 + +まず、ライブラリを次のようにインストールします。 + +```bash +pip install -U transformers accelerate +``` + +その後、以下のコードを実行してください。 + +```python +import torch +from transformers import AutoTokenizer, AutoModelForCausalLM + +tokenizer = AutoTokenizer.from_pretrained("alfredplpl/Llama-3-8B-Instruct-Ja") +model = AutoModelForCausalLM.from_pretrained("alfredplpl/Llama-3-8B-Instruct-Ja", device_map="auto", torch_dtype=torch.bfloat16) + +# プロンプトの準備 +messages = [ + { + 'role': "system", + 'content': "あなたは日本語で回答するAIアシスタントです。" + }, + { + 'role': "user", + 'content': "猫と犬、どっちが好き？" + } +] +prompt=tokenizer.apply_chat_template(messages, tokenize=False) + +# 推論の実行 +input_ids = tokenizer(prompt, return_tensors="pt").to(model.device) +outputs = model.generate( + **input_ids, + max_new_tokens=128, + do_sample=True, + top_p=0.95, + temperature=0.2, + repetition_penalty=1.1, + eos_token_id=[ + tokenizer.eos_token_id, + tokenizer.convert_tokens_to_ids("<|eot_id|>") + ], +) +print(tokenizer.decode(outputs[0])) +``` + +次のような結果が得られるはずです。 + +```python +<|begin_of_text|><|start_header_id|>system<|end_header_id|> + +あなたは日本語で回答するAIアシスタントです。<|eot_id|><|start_header_id|>user<|end_header_id|> + +猫と犬、どっちが好き？<|eot_id|><|start_header_id|>assistant<|end_header_id|> + +猫と犬の両方を飼っているので、どちらも好きだ！<|eot_id|> +``` + +# 学習データ +- llm-jp/databricks-dolly-15k-ja +- cl-nagoya/auto-wiki-qa +- meta-llama/Meta-Llama-3-8B-Instruct + +# 学習方法 +meta-llama/Meta-Llama-3-8B-Instructに対して、cl-nagoya/auto-wiki-qaにある約240万件の学習データでLoRAによるインストラクションチューニングを1epoch行い、LoRAをマージしました。 +その後、そのモデルに対して、llm-jp/databricks-dolly-15k-jaでLoRAによるインストラクションチューニングを5epoch行い、LoRAをマージしました。 +これらの学習はすべて教師あり学習で行いました。 +# ハードウェア +- NVIDIA A6000x2 + +# ソフトウェア +- transformers +- trl + +# 学習時間 +- 60 GPU hours \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..3cab570 --- /dev/null +++ b/config.json @@ -0,0 +1,28 @@ +{ + "_name_or_path": "/mnt/NVM/Llama-3-8B-Instruct-Ja", + "architectures": [ + "LlamaForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 128000, + "eos_token_id": 128001, + "hidden_act": "silu", + "hidden_size": 4096, + "initializer_range": 0.02, + "intermediate_size": 14336, + "max_position_embeddings": 8192, + "model_type": "llama", + "num_attention_heads": 32, + "num_hidden_layers": 32, + "num_key_value_heads": 8, + "pretraining_tp": 1, + "rms_norm_eps": 1e-05, + "rope_scaling": null, + "rope_theta": 500000.0, + "tie_word_embeddings": false, + "torch_dtype": "bfloat16", + "transformers_version": "4.40.0", + "use_cache": true, + "vocab_size": 128256 +} diff --git a/configuration.json b/configuration.json new file mode 100644 index 0000000..bbeeda1 --- /dev/null +++ b/configuration.json @@ -0,0 +1 @@ +{"framework": "pytorch", "task": "text-generation", "allow_remote": true} \ No newline at end of file diff --git a/eyecatch.webp b/eyecatch.webp new file mode 100644 index 0000000..caf071b Binary files 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