使用gpt-3.5-turbo llm_api报错
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Description
2023-08-24 11:10:06 | ERROR | stderr | Process model_worker(27196):
2023-08-24 11:10:06 | ERROR | stderr | Traceback (most recent call last):
2023-08-24 11:10:06 | ERROR | stderr | File "D:\env\miniconda3\envs\langchain-ChatGLM\lib\multiprocessing\process.py", line 314, in _bootstrap
2023-08-24 11:10:06 | ERROR | stderr | self.run()
2023-08-24 11:10:06 | ERROR | stderr | File "D:\env\miniconda3\envs\langchain-ChatGLM\lib\multiprocessing\process.py", line 108, in run
2023-08-24 11:10:06 | ERROR | stderr | self._target(*self._args, **self._kwargs)
2023-08-24 11:10:06 | ERROR | stderr | File "D:\job\langchain-ChatGLM\server\llm_api.py", line 194, in run_model_worker
2023-08-24 11:10:06 | ERROR | stderr | app = create_model_worker_app(*args, **kwargs)
2023-08-24 11:10:06 | ERROR | stderr | File "D:\job\langchain-ChatGLM\server\llm_api.py", line 128, in create_model_worker_app
2023-08-24 11:10:06 | ERROR | stderr | worker = ModelWorker(
2023-08-24 11:10:06 | ERROR | stderr | File "D:\env\miniconda3\envs\langchain-ChatGLM\lib\site-packages\fastchat\serve\model_worker.py", line 196, in __init__
2023-08-24 11:10:06 | ERROR | stderr | super().__init__(
2023-08-24 11:10:06 | ERROR | stderr | File "D:\env\miniconda3\envs\langchain-ChatGLM\lib\site-packages\fastchat\serve\model_worker.py", line 84, in __init__
2023-08-24 11:10:06 | ERROR | stderr | self.conv.sep_style = int(self.conv.sep_style)
2023-08-24 11:10:06 | ERROR | stderr | TypeError: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start in server/llm_api.py at create_model_worker_app and run_model_worker, then follow the traceback into fastchat/serve/model_worker.py. Reproduce the gpt-3.5-turbo worker startup failure and determine why conv.sep_style is None; done means the worker starts without this TypeError and the relevant behavior is covered or explained.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ai, backend
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100