diff --git a/source/_posts/大模型.md b/source/_posts/大模型.md
index 193c775..6947e9b 100644
--- a/source/_posts/大模型.md
+++ b/source/_posts/大模型.md
@@ -409,3 +409,34 @@ python convert_hf_to_gguf.py DeepSeek-R1-Distill-Qwen-7B/
 ```
 
 然后打开浏览器，输入地址`http://127.0.0.1:8088`就可以在网页上与模型进行交互了，非常方便！
+
+# LLaMA-Factory
+
+> 可参考文章：[DeepSeek-R1-7B-Distill模型微调全过程记录，LLaMA_Factory训练自己的数据集，合并lora微调模型并量化为gguf，接入微信实现自动对话回复_微信_qq_53091149-DeepSeek技术社区](https://deepseek.csdn.net/67b84a893c9cd21f4cb9aab6.html#devmenu2)
+
+## 安装
+
+```shell
+# 首先 conda创建环境
+conda create -n LLaMA-Factory python=3.12
+# 激活环境
+conda activate LLaMA-Factory
+# 从GitHub上拉去项目代码到当前目录下
+git clone https://github.com/hiyouga/LLaMA-Factory.git
+# 进入目录
+cd LLaMA-Factory
+# 安装所需依赖
+pip install -e ".[torch,metrics]"
+# 启动webui
+python src/webui.py 
+```
+
+## 微调
+
+![image-20250320152454509](https://markdownhexo.oss-cn-hangzhou.aliyuncs.com/img/image-20250320152454509.png)
+
+![image-20250320152533756](https://markdownhexo.oss-cn-hangzhou.aliyuncs.com/img/image-20250320152533756.png)
+
+合并
+
+![image-20250320152645802](https://markdownhexo.oss-cn-hangzhou.aliyuncs.com/img/image-20250320152645802.png)