Merge pull request #458 from ArtificialZeng/patch-3

correct the link

README.md

@@ -251,7 +251,7 @@ with torch.no_grad():
 + [Xorbits Inference](https://github.com/xorbitsai/inference): 性能强大且功能全面的分布式推理框架，轻松一键部署你自己的模型或内置的前沿开源模型。
 + [LangChain-ChatChat](https://github.com/chatchat-space/Langchain-Chatchat): 基于 Langchain 与 ChatGLM 等语言模型的 RAG
   与 Agent 应用
-+ [self-llm](https://github.com/datawhalechina/self-llm/tree/master/GLM-4): Datawhale 团队的提供的 GLM-4-9B 系列模型使用教程。
++ [self-llm](https://github.com/datawhalechina/self-llm/tree/master/models/GLM-4): Datawhale 团队的提供的 GLM-4-9B 系列模型使用教程。
 + [chatglm.cpp](https://github.com/li-plus/chatglm.cpp): 类似 llama.cpp 的量化加速推理方案，实现笔记本上实时对话
 
 ## 协议

README_en.md

@@ -272,7 +272,7 @@ with basic GLM-4-9B usage and development code through the following content
   framework, easily deploy your own models or import cutting-edge open source models with one click.
 + [LangChain-ChatChat](https://github.com/chatchat-space/Langchain-Chatchat): RAG and Agent applications based on
   language models such as Langchain and ChatGLM
-+ [self-llm](https://github.com/datawhalechina/self-llm/tree/master/GLM-4): Datawhale's self-llm project, which includes
++ [self-llm](https://github.com/datawhalechina/self-llm/tree/master/models/GLM-4): Datawhale's self-llm project, which includes
   the GLM-4-9B open source model cookbook.
 + [chatglm.cpp](https://github.com/li-plus/chatglm.cpp): Real-time inference on your laptop accelerated by quantization,
   similar to llama.cpp.