ChatGLM3 在线体验及部署经验_chatglm3在线体验

本文主要介绍使用virtualenv库生成venv，进而部署/运行ChatGLM3-6B开源双语对话语言模型的方法。

1. 在线体验

本文代码已部署到百度飞桨AI Studio平台，以供大家在线体验。

项目链接：ChatGLM3 在线体验

2. 环境部署

virtualenv环境部署代码如下：

git clone https://github.com/THUDM/ChatGLM3
 
cd ChatGLM3
 
pip install -U virtualenv
 
python -m virtualenv venv
 
source venv/bin/activate
 
pip install --upgrade pip
 
pip install protobuf transformers cpm_kernels torch gradio mdtex2html sentencepiece accelerate peft

实测仅安装 protobuf transformers cpm_kernels torch gradio mdtex2html sentencepiece accelerate peft 这些库就可以运行Gradio交互式界面进行对话。

如果有其他需求，可以根据 requirements.txt 文件安装其他依赖库。

requirements.txt 文件内容：

# basic requirements
 
transformers==4.40.0
cpm_kernels>=1.0.11
torch>=2.3.0
vllm>=0.4.2
gradio>=4.26.0
sentencepiece>=0.2.0
sentence_transformers>=2.7.0
accelerate>=0.29.2
streamlit>=1.33.0
fastapi>=0.110.0
loguru~=0.7.2
mdtex2html>=1.3.0
latex2mathml>=3.77.0
jupyter_client>=8.6.1
 
# for openai demo
openai>=1.30.1
pydantic>=2.7.1
sse-starlette>=2.1.0
uvicorn>=0.29.0
timm>=0.9.16
tiktoken>=0.6.0
 
# for langchain demo
 
langchain>=0.2.1
langchain_community>=0.2.0
langchainhub>=0.1.15
arxiv>=2.1.0

3. 模型下载

原始链接：https://huggingface.co/THUDM/chatglm3-6b

镜像链接：https://hf-mirror.com/THUDM/chatglm3-6b

由于官方后续提供了.safetensors格式的模型，目前模型下载页内容很多，这里采用wget下载.safetensors版模型对应的文件（共18个文件，约12GB）。

项目demo中默认模型路径为 ChatGLM3/THUDM/chatglm3-6b，可以通过定义MODEL_PATH环境变量从其他路径加载模型。

下载代码：

cd ~/ChatGLM3
 
mkdir THUDM THUDM/chatglm3-6b
 
cd THUDM/chatglm3-6b
 
wget https://hf-mirror.com/THUDM/chatglm3-6b/resolve/main/MODEL_LICENSE
wget https://hf-mirror.com/THUDM/chatglm3-6b/resolve/main/README.md
wget https://hf-mirror.com/THUDM/chatglm3-6b/resolve/main/config.json
wget https://hf-mirror.com/THUDM/chatglm3-6b/resolve/main/configuration_chatglm.py
wget https://hf-mirror.com/THUDM/chatglm3-6b/resolve/main/model-00001-of-00007.safetensors
wget https://hf-mirror.com/THUDM/chatglm3-6b/resolve/main/model-00002-of-00007.safetensors
wget https://hf-mirror.com/THUDM/chatglm3-6b/resolve/main/model-00003-of-00007.safetensors
wget https://hf-mirror.com/THUDM/chatglm3-6b/resolve/main/model-00004-of-00007.safetensors
wget https://hf-mirror.com/THUDM/chatglm3-6b/resolve/main/model-00005-of-00007.safetensors
wget https://hf-mirror.com/THUDM/chatglm3-6b/resolve/main/model-00006-of-00007.safetensors
wget https://hf-mirror.com/THUDM/chatglm3-6b/resolve/main/model-00007-of-00007.safetensors
wget https://hf-mirror.com/THUDM/chatglm3-6b/resolve/main/model.safetensors.index.json
wget https://hf-mirror.com/THUDM/chatglm3-6b/resolve/main/modeling_chatglm.py
wget https://hf-mirror.com/THUDM/chatglm3-6b/resolve/main/quantization.py
wget https://hf-mirror.com/THUDM/chatglm3-6b/resolve/main/special_tokens_map.json
wget https://hf-mirror.com/THUDM/chatglm3-6b/resolve/main/tokenization_chatglm.py
wget https://hf-mirror.com/THUDM/chatglm3-6b/resolve/main/tokenizer.model
wget https://hf-mirror.com/THUDM/chatglm3-6b/resolve/main/tokenizer_config.json

4. 运行

ChatGLM3的运行很简单，激活虚拟环境后运行 basic_demo/web_demo_gradio.py 文件即可。

cd ChatGLM3
 
source venv/bin/activate
 
python basic_demo/web_demo_gradio.py