用开源大模型食用指南 self-llm项目的 GLM-4-9B-Chat WebDemo 部署文档部署时遇到如下错误：

ValueError: too many values to unpack (expected 2)

Traceback:
File "/root/miniconda3/lib/python3.10/site-packages/streamlit/runtime/scriptrunner/script_runner.py", line 552, in _run_script
    exec(code, module.__dict__)
File "/root/autodl-tmp/ChatBot.py", line 51, in <module>
    generated_ids = model.generate(model_inputs.input_ids, max_new_tokens=512)
File "/root/miniconda3/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
File "/root/miniconda3/lib/python3.10/site-packages/transformers/generation/utils.py", line 1914, in generate
    result = self._sample(
File "/root/miniconda3/lib/python3.10/site-packages/transformers/generation/utils.py", line 2651, in _sample
    outputs = self(
File "/root/miniconda3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
File "/root/miniconda3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
    return forward_call(*args, **kwargs)
File "/root/.cache/huggingface/modules/transformers_modules/glm-4-9b-chat/modeling_chatglm.py", line 1005, in forward
    transformer_outputs = self.transformer(
File "/root/miniconda3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
File "/root/miniconda3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
    return forward_call(*args, **kwargs)
File "/root/.cache/huggingface/modules/transformers_modules/glm-4-9b-chat/modeling_chatglm.py", line 901, in forward
    hidden_states, presents, all_hidden_states, all_self_attentions = self.encoder(
File "/root/miniconda3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
File "/root/miniconda3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
    return forward_call(*args, **kwargs)
File "/root/.cache/huggingface/modules/transformers_modules/glm-4-9b-chat/modeling_chatglm.py", line 726, in forward
    layer_ret = layer(
File "/root/miniconda3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
File "/root/miniconda3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
    return forward_call(*args, **kwargs)
File "/root/.cache/huggingface/modules/transformers_modules/glm-4-9b-chat/modeling_chatglm.py", line 629, in forward
    attention_output, kv_cache = self.self_attention(
File "/root/miniconda3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
File "/root/miniconda3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
    return forward_call(*args, **kwargs)
File "/root/.cache/huggingface/modules/transformers_modules/glm-4-9b-chat/modeling_chatglm.py", line 494, in forward
    cache_k, cache_v = kv_cache

经排查报错原因是官方的bug导致，最新的包有问题。
重新安装下transformers的包并重启问题就可以解决

pip install transformers==4.40.2

注意：

1、下载模型的第一行代码导包书写有误，需要自行更改下。源代码如下：

import torch
from modelscope import snapshot_download, AutoModel, AutoTokenizer
import os
model_dir = snapshot_download('ZhipuAI/glm-4-9b-chat', cache_dir='/root/autodl-tmp', revision='master')

2、注意模型的路径，将路径改为绝对路径。

mode_name_or_path = '/root/autodl-tmp/ZhipuAI/glm-4-9b-chat'

完整部署文档详见：

https://github.com/datawhalechina/self-llm/blob/master/GLM-4/03-GLM-4-9B-Chat%20WebDemo.md