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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
| Date | Stars |
|---|---|
| 2026-07-24 | 18943 |
| 2026-07-25 | 18945 |
| 2026-07-28 | 18945 |
| 2026-07-30 | 18945 |
| 2026-07-31 | 18945 |
| 2026-08-06 | 18945 |
Today
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0.0
growth rate 0.00%/day
# [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/)
<p align="center">
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<img src="./pics/banner.png" width="700"/>
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<img alt="GitHub" src="https://img.shields.io/github/license/ymcui/Chinese-LLaMA-Alpaca.svg?color=blue&style=flat-square">
<img alt="GitHub release (latest by date)" src="https://img.shields.io/github/v/release/ymcui/Chinese-LLaMA-Alpaca">
<img alt="GitHub top language" src="https://img.shields.io/github/languages/top/ymcui/Chinese-LLaMA-Alpaca">
<img alt="GitHub last commit" src="https://img.shields.io/github/last-commit/ymcui/Chinese-LLaMA-Alpaca">
<a href="https://app.codacy.com/gh/ymcui/Chinese-LLaMA-Alpaca/dashboard?utm_source=gh&utm_medium=referral&utm_content=&utm_campaign=Badge_grade"><img src="https://app.codacy.com/project/badge/Grade/1710faac5e634acaabfc26b0a778cdde"/></a>
</p>
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。
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[**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Excerpt of 23,056 characters
Read on GitHub
Yiming Cui · China
350
Ziqing Yang · China
137
Yao Xin
32
yuhan · China
28
4
WenminDeng
2
GuoHao · China
1
1
alkaid · UESTC
1
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:cc818f00a32d2cca, topic:large-language-models, topic:llm, topic:llama