Update README.md

README.md

@@ -35,7 +35,7 @@ pip install bitsandbytes-0.42.0-py3-none-any.whl
 
 ```
 docker build  -t internlm-math-df:latest .
-docker run -it --shm-size=1024G -v /parastor/home/internlm-math-pytorch:/home/internlm-math-pytorch -v /opt/hyhal:/opt/hyhal --privileged=true --device=/dev/kfd --device=/dev/dri/ --group-add video --name internlm-math  internlm-math-df  bash
+docker run -it --shm-size=1024G -v <Host Path>:<Container Path> -v /opt/hyhal:/opt/hyhal --privileged=true --device=/dev/kfd --device=/dev/dri/ --group-add video --name internlm-math  internlm-math-df  bash
 pip install -r requirements.txt -i https://mirrors.aliyun.com/pypi/simple/  --trusted-host mirrors.aliyun.com
 # bitsandbytes可从whl.zip文件里获取安装：
 pip install bitsandbytes-0.42.0-py3-none-any.whl
@@ -117,7 +117,7 @@ sh single_node.sh
 | DCU-K100 | 1.0941 | 
 | GPU-A800 | 1.0944 | 
 
-使用opencompass(https://github.com/open-compass/opencompass)得到的测试结果对比
+使用[opencompass](https://github.com/open-compass/opencompass)得到的测试结果对比
 <div align=center>
     <img src="./doc/result.png"/>
 </div>
@@ -132,7 +132,7 @@ sh single_node.sh
 `科研,教育,金融`
 
 ### 预训练权重
-预训练权重下载中心: huggingface[https://huggingface.co/internlm/internlm2-math-7b]
+预训练权重下载中心: [huggingface](https://huggingface.co/internlm/internlm2-math-7b)
 模型目录结构如下：
 <div align=center>
     <img src="./doc/model.png"/>