v1.0.2

README.md

@@ -14,7 +14,7 @@
 
 ## 环境配置
 ```
-mv MiniCPM_pytorch MiniCPM # 去框架名后缀
+mv minicpm_pytorch MiniCPM # 去框架名后缀
 ```
 
 ### Docker（方法一）
@@ -22,8 +22,8 @@ mv MiniCPM_pytorch MiniCPM # 去框架名后缀
 docker pull image.sourcefind.cn:5000/dcu/admin/base/pytorch:2.1.0-centos7.6-dtk23.10-py38
 # <your IMAGE ID>为以上拉取的docker的镜像ID替换，本镜像为：ffa1f63239fc
 docker run -it --shm-size=32G -v $PWD/MiniCPM:/home/MiniCPM -v /opt/hyhal:/opt/hyhal --privileged=true --device=/dev/kfd --device=/dev/dri/ --group-add video --name minicpm <your IMAGE ID> bash
-cd MiniCPM
-pip install -r requirements.txt # finetune/requirements.txt
+cd /home/MiniCPM
+pip install -r finetune/requirements.txt # finetune/requirements.txt
 # deepspeed、flash_attn2、xformers可从whl.zip文件里获取安装：
 pip install deepspeed-0.12.3+git299681e.abi0.dtk2310.torch2.1.0a0-cp38-cp38-linux_x86_64.whl
 pip install flash_attn-2.0.4_torch2.1_dtk2310-cp38-cp38-linux_x86_64.whl
@@ -78,7 +78,7 @@ bash patch_xformers.rocm.sh
 
 2、其它非特殊库参照requirements.txt安装
 ```
-pip install -r requirements.txt # finetune/requirements.txt
+pip install -r finetune/requirements.txt # finetune/requirements.txt
 ```
 
 ## 数据集