diff --git a/docs/Dockerfile+ChatGLM b/docs/Dockerfile+ChatGLM
index 52f5f33..dafcee7 100644
--- a/docs/Dockerfile+ChatGLM
+++ b/docs/Dockerfile+ChatGLM
@@ -1,6 +1,6 @@
 # How to build | 如何构建: docker build -t gpt-academic --network=host  -f Dockerfile+ChatGLM .
-# How to run | 如何运行 (1) 直接运行: docker run --rm -it --net=host --gpus=all gpt-academic
-# How to run | 如何运行 (2) 我想运行之前进容器做一些调整: docker run --rm -it --net=host --gpus=all gpt-academic bash
+# How to run | 如何运行 (1) 直接运行（选择0号GPU）: docker run --rm -it --net=host --gpus="0" gpt-academic
+# How to run | 如何运行 (2) 我想运行之前进容器做一些调整: docker run --rm -it --net=host --gpus="0" gpt-academic bash
  
 # 从NVIDIA源，从而支持显卡运损（检查宿主的nvidia-smi中的cuda版本必须>=11.3）
 FROM nvidia/cuda:11.3.1-runtime-ubuntu20.04
@@ -11,11 +11,11 @@ RUN apt-get install -y git python python3 python-dev python3-dev --fix-missing
 
 # 配置代理网络（构建Docker镜像时使用）
 # # comment out below if you do not need proxy network | 如果不需要翻墙 - 从此行向下删除
-# RUN $useProxyNetwork curl cip.cc
-# RUN sed -i '$ d' /etc/proxychains.conf
-# RUN sed -i '$ d' /etc/proxychains.conf
-# RUN echo "socks5 127.0.0.1 10880" >> /etc/proxychains.conf
-# ARG useProxyNetwork=proxychains
+RUN $useProxyNetwork curl cip.cc
+RUN sed -i '$ d' /etc/proxychains.conf
+RUN sed -i '$ d' /etc/proxychains.conf
+RUN echo "socks5 127.0.0.1 10880" >> /etc/proxychains.conf
+ARG useProxyNetwork=proxychains
 # # comment out above if you do not need proxy network | 如果不需要翻墙 - 从此行向上删除
 
 
@@ -24,7 +24,7 @@ RUN curl -sS https://bootstrap.pypa.io/get-pip.py | python3.8
 
 # 下载分支
 WORKDIR /gpt
-RUN $useProxyNetwork git clone https://github.com/binary-husky/chatgpt_academic.git -b v3.1
+RUN $useProxyNetwork git clone https://github.com/binary-husky/chatgpt_academic.git
 WORKDIR /gpt/chatgpt_academic
 RUN $useProxyNetwork python3 -m pip install -r requirements.txt
 RUN $useProxyNetwork python3 -m pip install -r request_llm/requirements_chatglm.txt
@@ -45,14 +45,14 @@ RUN $useProxyNetwork git pull
 RUN python3  -c 'from check_proxy import warm_up_modules; warm_up_modules()'
 
 # 为chatgpt-academic配置代理和API-KEY （非必要 可选步骤）
-# 可同时填写多个API-KEY，支持openai的key和api2d的key共存，用英文逗号分割，例如API_KEY = "sk-openaikey1,sk-openaikey2,fkxxxx-api2dkey1,fkxxxx-api2dkey2"
+# 可同时填写多个API-KEY，支持openai的key和api2d的key共存，用英文逗号分割，例如API_KEY = "sk-openaikey1,fkxxxx-api2dkey2,........"
 # LLM_MODEL 是选择初始的模型
 # LOCAL_MODEL_DEVICE 是选择chatglm等本地模型运行的设备，可选 cpu 和 cuda
 RUN echo ' \n\
-API_KEY = "sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx" \n\
+API_KEY = "sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx,fkxxxxxx-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx" \n\
 USE_PROXY = True \n\
 LLM_MODEL = "chatglm" \n\
-LOCAL_MODEL_DEVICE = "cpu" \n\
+LOCAL_MODEL_DEVICE = "cuda" \n\
 proxies = { "http": "socks5h://localhost:10880", "https": "socks5h://localhost:10880", } ' >> config_private.py
 
 # 启动