clone项目

下载模型

https://cloud.tsinghua.edu.cn/d/674208019e314311ab5c/?p=%2Fchatglm2-6b&mode=list

切换conda里面的py39环境

cd /home/chq/ChatGLM2-6B
conda activate py39

执行pip install

(py39) root@chq:/home/chq/ChatGLM2-6B# pip install -r requirements.txt
Collecting protobuf (from -r requirements.txt (line 1))
  Downloading protobuf-4.25.2-cp37-abi3-manylinux2014_x86_64.whl.metadata (541 bytes)
Collecting transformers==4.30.2 (from -r requirements.txt (line 2))
  Downloading transformers-4.30.2-py3-none-any.whl.metadata (113 kB)
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Collecting cpm_kernels (from -r requirements.txt (line 3))
  Downloading cpm_kernels-1.0.11-py3-none-any.whl (416 kB)
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Collecting torch>=2.0 (from -r requirements.txt (line 4))
  Downloading torch-2.1.2-cp39-cp39-manylinux1_x86_64.whl.metadata (25 kB)
Collecting gradio (from -r requirements.txt (line 5))
  Downloading gradio-4.14.0-py3-none-any.whl.metadata (15 kB)
Collecting mdtex2html (from -r requirements.txt (line 6))
  Downloading mdtex2html-1.2.0-py3-none-any.whl (13 kB)
Collecting sentencepiece (from -r requirements.txt (line 7))
  Downloading sentencepiece-0.1.99-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.3/1.3 MB 193.1 kB/s eta 0:00:00
Collecting accelerate (from -r requirements.txt (line 8))
  Downloading accelerate-0.26.1-py3-none-any.whl.metadata (18 kB)
Collecting sse-starlette (from -r requirements.txt (line 9))
  Downloading sse_starlette-1.8.2-py3-none-any.whl.metadata (5.4 kB)
Collecting streamlit>=1.24.0 (from -r requirements.txt (line 10))
  Downloading streamlit-1.30.0-py2.py3-none-any.whl.metadata (8.2 kB)
Collecting filelock (from transformers==4.30.2->-r requirements.txt (line 2))
  Downloading filelock-3.13.1-py3-none-any.whl.metadata (2.8 kB)
Collecting huggingface-hub<1.0,>=0.14.1 (from transformers==4.30.2->-r requirements.txt (line 2))
  Downloading huggingface_hub-0.20.2-py3-none-any.whl.metadata (12 kB)
Collecting numpy>=1.17 (from transformers==4.30.2->-r requirements.txt (line 2))
  Downloading numpy-1.26.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (61 kB)
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Collecting packaging>=20.0 (from transformers==4.30.2->-r requirements.txt (line 2))
  Downloading packaging-23.2-py3-none-any.whl.metadata (3.2 kB)
Collecting pyyaml>=5.1 (from transformers==4.30.2->-r requirements.txt (line 2))
  Downloading PyYAML-6.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)
Collecting regex!=2019.12.17 (from transformers==4.30.2->-r requirements.txt (line 2))
  Downloading regex-2023.12.25-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (40 kB)
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Collecting requests (from transformers==4.30.2->-r requirements.txt (line 2))

启动

启动前，主要修改模型路径，如web_demo.py：

tokenizer = AutoTokenizer.from_pretrained("/home/chq/ChatGLM2-6B/module", trust_remote_code=True)
model = AutoModel.from_pretrained("/home/chq/ChatGLM2-6B/module", trust_remote_code=True).cuda()
# 多显卡支持，使用下面两行代替上面一行，将num_gpus改为你实际的显卡数量
# from utils import load_model_on_gpus
# model = load_model_on_gpus("THUDM/chatglm2-6b", num_gpus=2)
model = model.eval()

启动方式1（基于 Gradio 的网页版 demo）：

python web_demo.py

方式2（基于 Streamlit 的网页版 demo）：

streamlit run web_demo2.py

报错

提问的时候是有回答的，但web窗口看不到，是因为组件版本的问题，

参考https://github.com/THUDM/ChatGLM2-6B/issues/570

pip uninstall gradio
pip install gradio==3.39.0

参考

https://zhuanlan.zhihu.com/p/645112683

https://github.com/THUDM/ChatGLM2-6B