diff --git a/docs/L2/InternVL/README.md b/docs/L2/InternVL/README.md
index d21c5c2b6..9d05a65b4 100644
--- a/docs/L2/InternVL/README.md
+++ b/docs/L2/InternVL/README.md
@@ -61,7 +61,7 @@ conda activate xtuner-env
 pip install xtuner==0.1.23 timm==1.0.9
 pip install 'xtuner[deepspeed]'
 pip install torch==2.4.1 torchvision==0.19.1 torchaudio==2.4.1 --index-url https://download.pytorch.org/whl/cu121
-pip install transformers==4.39.0 peft==0.13.2
+pip install transformers==4.39.0 tokenizers==0.15.2 peft==0.13.2 datasets==3.1.0 accelerate==1.2.0 huggingface-hub==0.26.5 
 ```
 
 训练环境既为安装成功。
@@ -180,6 +180,14 @@ cd /root/xtuner
 conda activate xtuner-env  # 或者是你自命名的训练环境
 ```
 
+如果没有该路径，可以从GitHub上克隆一个：
+
+```Bash
+cd /root
+git clone https://github.com/InternLM/xtuner.git
+conda activate xtuner-env
+```
+
 原始internvl的微调配置文件在路径`./xtuner/configs/internvl/v2`下，假设上面克隆的仓库在/`root/InternVL2-Tutorial`,复制配置文件到目标目录下：
 
 ```Bash