--- title: "Chinese-LLaMA-Alpaca" type: "tool" slug: "ymcui-chinese-llama-alpaca" canonical_url: "https://www.graphcanon.com/tools/ymcui-chinese-llama-alpaca" github_url: "https://github.com/ymcui/Chinese-LLaMA-Alpaca" homepage_url: "https://github.com/ymcui/Chinese-LLaMA-Alpaca/wiki" stars: 18943 forks: 1851 primary_language: "Python" license: "Apache-2.0" categories: ["model-training", "llm-frameworks"] tags: ["llama", "lora", "nlp", "alpaca", "quantization"] updated_at: "2026-07-07T18:27:29.463234+00:00" --- # Chinese-LLaMA-Alpaca > Chinese LLaMA & Alpaca Large Language Models + Local CPU/GPU Training and Deployment An open-source project for Chinese versions of the LLaMA and Alpaca models, enhancing their capabilities in understanding and executing Chinese commands. It provides pre-trained scripts, fine-tuning scripts, and supports efficient local deployment on CPUs or GPUs. ## Facts - Repository: https://github.com/ymcui/Chinese-LLaMA-Alpaca - Homepage: https://github.com/ymcui/Chinese-LLaMA-Alpaca/wiki - Stars: 18,943 · Forks: 1,851 · Open issues: 5 · Watchers: 179 - Primary language: Python - License: Apache-2.0 - Last pushed: 2026-04-19T00:58:05+00:00 ## Categories - [Model Training](/categories/model-training.md) - [LLM Frameworks](/categories/llm-frameworks.md) ## Tags llama, lora, nlp, alpaca, quantization ## Related tools - [ollama](/tools/ollama-ollama.md) - Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. (★ 175,659) - [prompts.chat](/tools/f-prompts-chat.md) - The world's largest open-source prompt library for AI (★ 165,019) - [transformers](/tools/huggingface-transformers.md) - 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models (★ 162,347) - [open-webui](/tools/open-webui-open-webui.md) - User-friendly AI Interface (Supports Ollama, OpenAI API, ...) (★ 144,575) - [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) - 100+ AI Agent & RAG apps you can actually run — clone, customize, ship. (★ 116,702) - [LLMs-from-scratch](/tools/rasbt-llms-from-scratch.md) - Implement a ChatGPT-like LLM in PyTorch from scratch (★ 98,711) - [TradingAgents](/tools/tauricresearch-tradingagents.md) - TradingAgents: Multi-Agents LLM Financial Trading Framework (★ 91,610) - [caveman](/tools/juliusbrussee-caveman.md) - Cuts 65% of tokens in AI coding agent responses. (★ 86,150) ## README (excerpt) ```text # [Chinese-LLaMA-Alpaca-3](https://github.com/ymcui/Chinese-LLaMA-Alpaca-3)项目启动！ [**🇨🇳中文**](./README.md) | [**🌐English**](./README_EN.md) | [**📖文档/Docs**](https://github.com/ymcui/Chinese-LLaMA-Alpaca/wiki) | [**❓提问/Issues**](https://github.com/ymcui/Chinese-LLaMA-Alpaca/issues) | [**💬讨论/Discussions**](https://github.com/ymcui/Chinese-LLaMA-Alpaca/discussions) | [**⚔️竞技场/Arena**](http://llm-arena.ymcui.com/)



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本项目开源了**中文LLaMA模型和指令精调的Alpaca大模型**，以进一步促进大模型在中文NLP社区的开放研究。这些模型**在原版LLaMA的基础上扩充了中文词表**并使用了中文数据进行二次预训练，进一步提升了中文基础语义理解能力。同时，中文Alpaca模型进一步使用了中文指令数据进行精调，显著提升了模型对指令的理解和执行能力。 **技术报告（V2）**：[[Cui, Yang, and Yao] Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca](https://arxiv.org/abs/2304.08177) **本项目主要内容：** - 🚀 针对原版LLaMA模型扩充了中文词表，提升了中文编解码效率 - 🚀 开源了使用中文文本数据预训练的中文LLaMA以及经过指令精调的中文Alpaca - 🚀 开源了预训练脚本、指令精调脚本，用户可根据需要进一步训练模型 - 🚀 快速使用笔记本电脑（个人PC）的CPU/GPU本地量化和部署体验大模型 - 🚀 支持[🤗transformers](https://github.com/huggingface/transformers), [llama.cpp](https://github.com/ggerganov/llama.cpp), [text-generation-webui](https://github.com/oobabooga/text-generation-webui), [LlamaChat](https://github.com/alexrozanski/LlamaChat), [LangChain](https://github.com/hwchase17/langchain), [privateGPT](https://github.com/imartinez/privateGPT)等生态 - 目前已开源的模型版本：7B（基础版、**Plus版**、**Pro版**）、13B（基础版、**Plus版**、**Pro版**）、33B（基础版、**Plus版**、**Pro版**） 💡 下图是中文Alpaca-Plus-7B模型在本地CPU量化部署后的实际体验速度和效果。 ---- [**中文LLaMA-2&Alpaca-2大模型**](https://github.com/ymcui/Chinese-LLaMA-Alpaca-2) | [多模态中文LLaMA&Alpaca大模型](https://github.com/airaria/Visual-Chinese-LLaMA-Alpaca) | [多模态VLE](https://github.com/iflytek/VLE) | [中文MiniRBT](https://github.com/iflytek/MiniRBT) | [中文LERT](https://github.com/ymcui/LERT) | [中英文PERT](https://github.com/ymcui/PERT) | [中文MacBERT](https://github.com/ymcui/MacBERT) | [中文ELECTRA](https://github.com/ymcui/Chinese-ELECTRA) | [中文XLNet](https://github.com/ymcui/Chinese-XLNet) | [中文BERT](https://github.com/ymcui/Chinese-BERT-wwm) | [知识蒸馏工具TextBrewer](https://github.com/airaria/TextBrewer) | [模型裁剪工具TextPruner](https://github.com/airaria/TextPruner) ## 新闻 **[2024/04/30] Chinese-LLaMA-Alpaca-3 已正式发布，开源基于Llama-3的Llama-3-Chinese-8B和Llama-3-Chinese-8B-Instruct，推荐所有一期、二期项目用户升级至三代模型，请参阅：https://github.com/ymcui/Chinese-LLaMA-Alpaca-3** [2024/03/27] 本项目已入驻机器之心SOTA!模型平台，欢迎关注：https://sota.jiqizhixin.com/project/chinese-llama-alpaca [2023/08/14] Chinese-LLaMA-Alpaca-2 v2.0版本已正式发布，开源Chinese-LLaMA-2-13B和Chinese-Alpaca-2-13B，推荐所有一期用户升级至二代模型，请参阅：https://github.com/ymcui/Chinese-LLaMA-Alpaca-2 [2023/07/31] Chinese-LLaMA-Alpaca-2 v1.0版本已正式发布，请参阅：https://github.com/ymcui/Chinese-LLaMA-Alpaca-2 [2023/07/19] [v5.0版本](https://github.com/ymcui/Chinese-LLaMA-Alpaca/releases/tag/v5.0): 发布Alpaca-Pro系列模型，显著提升回复长度和质量；同时发布Plus-33B系列模型。 [2023/07/19] 🚀启动[中文LLaMA-2、Alpaca-2开源大模型项目](https://github.com/ymcui/Chinese-LLaMA-Alpaca-2)，欢迎关注了解最新信息。 [2023/07/10] Beta测试预览，提前了解即将到来的更新：详见[讨论区](https://github.com/ymcui/Chinese-LLaMA-Alpaca/discussions/732) [2023/07/07] Chinese-LLaMA-Alpaca家族再添新成员，推出面向视觉问答与对话的[多模态中文LLaMA&Alpaca大模型](https://github.com/airaria/Visual-Chinese-LLaMA-Alpaca)，发布了7B测试版本。 [2023/06/30] llama.cpp下8K context支持（无需对模型做出修改），相关方法 ``` --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/tools/ymcui-chinese-llama-alpaca`](/api/graphcanon/tools/ymcui-chinese-llama-alpaca) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_