From 90a6a6fe43cee52ca84047ff715f4001660f1e3c Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Thu, 21 May 2026 11:56:12 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?= =?UTF-8?q?=EF=BC=8C=E7=94=B1ModelHub=20XC=E7=A4=BE=E5=8C=BA=E6=8F=90?= =?UTF-8?q?=E4=BE=9B=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Model: AI-ModelScope/chinese-llama-2-7b Source: Original Platform --- .gitattributes | 35 ++++ README.md | 52 +++++ config.json | 25 +++ configuration.json | 1 + generation_config.json | 7 + pytorch_model-00001-of-00002.bin | 3 + pytorch_model-00002-of-00002.bin | 3 + pytorch_model.bin.index.json | 330 +++++++++++++++++++++++++++++++ special_tokens_map.json | 24 +++ tokenizer.model | 3 + tokenizer_config.json | 35 ++++ 11 files changed, 518 insertions(+) create mode 100644 .gitattributes create mode 100644 README.md create mode 100644 config.json create mode 100644 configuration.json create 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-text diff --git a/README.md b/README.md new file mode 100644 index 0000000..659a587 --- /dev/null +++ b/README.md @@ -0,0 +1,52 @@ +--- +license: apache-2.0 +--- + +# Chinese-LLaMA-2-7B + +**This is the full Chinese-LLaMA-2-7B model，which can be loaded directly for inference and full-parameter training.** + +**Related models👇** +* Long context base models + * [Chinese-LLaMA-2-7B-16K (full model)](https://huggingface.co/hfl/chinese-llama-2-7b-16k) + * [Chinese-LLaMA-2-LoRA-7B-16K (LoRA model)](https://huggingface.co/hfl/chinese-llama-2-lora-7b-16k) + * [Chinese-LLaMA-2-13B-16K (full model)](https://huggingface.co/hfl/chinese-llama-2-13b-16k) + * [Chinese-LLaMA-2-LoRA-13B-16K (LoRA model)](https://huggingface.co/hfl/chinese-llama-2-lora-13b-16k) +* Base models + * [Chinese-LLaMA-2-7B (full model)](https://huggingface.co/hfl/chinese-llama-2-7b) + * [Chinese-LLaMA-2-LoRA-7B (LoRA model)](https://huggingface.co/hfl/chinese-llama-2-lora-7b) + * [Chinese-LLaMA-2-13B (full model)](https://huggingface.co/hfl/chinese-llama-2-13b) + * [Chinese-LLaMA-2-LoRA-13B (LoRA model)](https://huggingface.co/hfl/chinese-llama-2-lora-13b) +* Instruction/Chat models + * [Chinese-Alpaca-2-7B (full model)](https://huggingface.co/hfl/chinese-alpaca-2-7b) + * [Chinese-Alpaca-2-LoRA-7B (LoRA model)](https://huggingface.co/hfl/chinese-alpaca-2-lora-7b) + * [Chinese-Alpaca-2-13B (full model)](https://huggingface.co/hfl/chinese-alpaca-2-13b) + * [Chinese-Alpaca-2-LoRA-13B (LoRA model)](https://huggingface.co/hfl/chinese-alpaca-2-lora-13b) + +# 示例代码 +```python +from modelscope import AutoModelForCausalLM, AutoTokenizer + +model_id = "AI-ModelScope/chinese-llama-2-7b" +tokenizer = AutoTokenizer.from_pretrained(model_id) + +model = AutoModelForCausalLM.from_pretrained(model_id, device_map='auto') + +text = "你好，我的名字是" +inputs = tokenizer(text, return_tensors="pt") + +outputs = model.generate(inputs.input_ids.to(model.device), max_new_tokens=50) +print(tokenizer.decode(outputs[0], skip_special_tokens=True)) +``` + +# Description of Chinese-LLaMA-Alpaca-2 +This project is based on the Llama-2, released by Meta, and it is the second generation of the Chinese LLaMA & Alpaca LLM project. We open-source Chinese LLaMA-2 (foundation model) and Alpaca-2 (instruction-following model). These models have been expanded and optimized with Chinese vocabulary beyond the original Llama-2. We used large-scale Chinese data for incremental pre-training, which further improved the fundamental semantic understanding of the Chinese language, resulting in a significant performance improvement compared to the first-generation models. The relevant models support a 4K context and can be expanded up to 18K+ using the NTK method. + +The main contents of this project include: + +* 🚀 New extended Chinese vocabulary beyond Llama-2, open-sourcing the Chinese LLaMA-2 and Alpaca-2 LLMs. +* 🚀 Open-sourced the pre-training and instruction finetuning (SFT) scripts for further tuning on user's data +* 🚀 Quickly deploy and experience the quantized LLMs on CPU/GPU of personal PC +* 🚀 Support for LLaMA ecosystems like 🤗transformers, llama.cpp, text-generation-webui, LangChain, vLLM etc. + +Please refer to [https://github.com/ymcui/Chinese-LLaMA-Alpaca-2/](https://github.com/ymcui/Chinese-LLaMA-Alpaca-2/) for details. \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..494a783 --- /dev/null +++ b/config.json @@ -0,0 +1,25 @@ +{ + "architectures": [ + "LlamaForCausalLM" + ], + "bos_token_id": 1, + "eos_token_id": 2, + "hidden_act": "silu", + "hidden_size": 4096, + 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