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中文羊驼大模型三期项目 (Chinese Llama-3 LLMs) developed from Meta Llama 3
| Date | Stars |
|---|---|
| 2026-07-24 | 1973 |
| 2026-07-25 | 1974 |
| 2026-07-28 | 1974 |
| 2026-07-30 | 1974 |
| 2026-07-31 | 1975 |
| 2026-08-06 | 1975 |
Today
— stars today
This week
+1 stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.05%/day
[**🇨🇳中文**](./README.md) | [**🌐English**](./README_EN.md) | [**📖文档/Docs**](https://github.com/ymcui/Chinese-LLaMA-Alpaca-3/wiki) | [**❓提问/Issues**](https://github.com/ymcui/Chinese-LLaMA-Alpaca-3/issues) | [**💬讨论/Discussions**](https://github.com/ymcui/Chinese-LLaMA-Alpaca-3/discussions) | [**⚔️竞技场/Arena**](http://llm-arena.ymcui.com/)
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<img src="./pics/banner.png" width="800"/>
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<img alt="GitHub" src="https://img.shields.io/github/license/ymcui/Chinese-LLaMA-Alpaca-3.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-3">
<img alt="GitHub top language" src="https://img.shields.io/github/languages/top/ymcui/Chinese-LLaMA-Alpaca-3">
<a href="https://app.codacy.com/gh/ymcui/Chinese-LLaMA-Alpaca-3/dashboard?utm_source=gh&utm_medium=referral&utm_content=&utm_campaign=Badge_grade"><img src="https://app.codacy.com/project/badge/Grade/142d688425494644b5b156068f55370d"/></a>
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<a href="https://huggingface.co/hfl">🤗 Hugging Face</a> •
<a href="https://modelscope.cn/profile/ChineseAlpacaGroup">🤖 ModelScope</a> •
<a href="https://sota.jiqizhixin.com/project/chinese-llama-alpaca-3">🐿️ 机器之心SOTA!模型</a> •
<a href="https://wisemodel.cn/models/ChineseAlpacaGroup/llama-3-chinese-8b-instruct-v3">🟣 wisemodel</a> •
<a href="https://huggingface.co/spaces/hfl-rc/llama-3-chinese-8b-instruct-demo">🤗 在线Demo</a>
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本项目基于Meta最新发布的新一代开源大模型[Llama-3](https://github.com/facebookresearch/llama3)开发，是Chinese-LLaMA-Alpaca开源大模型相关系列项目（[一期](https://github.com/ymcui/Chinese-LLaMA-Alpaca)、[二期](https://github.com/ymcui/Chinese-LLaMA-Alpaca-2)）的第三期。本项目开源了**中文Llama-3基座模型和中文Llama-3-Instruct指令精调大模型**。这些模型在原版Llama-3的基础上使用了大规模中文数据进行增量预训练，并且使用精选指令数据进行精调，进一步提升了中文基础语义和指令理解能力，相比二代相关模型获得了显著性能提升。
#### 主要内容
- 🚀 开源Llama-3-Chinese基座模型和Llama-3-Chinese-Instruct指令模型（v1, v2, v3）
- 🚀 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或微调模型
- 🚀 开源了alpaca_zh_51k, stem_zh_instruction, ruozhiba_gpt4 (4o/4T) 指令精调数据
- 🚀 提供了利用个人电脑CPU/GPU快速在本地进行大模型量化和部署的教程
- 🚀 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), [vLLM](https://github.com/vllm-project/vllm), [Ollama](https://ollama.com)等Llama-3生态
----
[中文Mixtral大模型](https://github.com/ymcui/Chinese-Mixtral) | [中文LLaMA-2&Alpaca-2大模型](https://github.com/ymcui/Chinese-LLaMA-Alpaca-2) | [中文LLaMA&Alpaca大模型](https://github.com/ymcui/Chinese-LLaMA-Alpaca) | [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) | [蒸馏裁剪一体化GRAIN](https://github.com/airaria/GRAIN)
## 新闻
**[2024/05/30] 发布Llama-3-Chinese-8B-Instruct-v3版指令模型，相比v1/v2在下游任务上获得显著提升。详情查看：[📚v3.0版本发布日志](https://github.com/ymcui/Chinese-LLaMA-Alpaca-3/releases/tag/v3.0)**
[2024/05/08] 发布Llama-3-Chinese-8B-Instruct-v2版指令模型，直接采用500万条指令数据在 [Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) 上进行精调。详情查看：[📚v2.0版本发布日志](https://github.com/ymcui/Chinese-LLaMA-Alpaca-3/releases/tag/v2.0)
[2024/05/07] 添加预训练脚本、指令精调脚本。详情查看：[📚v1.1版本发布日志](https://github.com/ymcui/Chinese-LLaMA-Alpaca-3/releases/tag/v1.1)
[2024/04/30] 发布Llama-3-Chinese-8B基座模型和Llama-3-Chinese-8B-Instruct指令模型。详情查看：[📚v1.0版本发布日志](https://github.com/ymcui/Chinese-LLaMA-Alpaca-3/releases/tag/v1.0)
[2024/04/19] 🚀 正式启动Chinese-LLaMA-Alpaca-3项目
## 内容导引
Excerpt of 24,480 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:da159ec975b6615c, topic:large-language-models, topic:llm, topic:llama
