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Description
when using OllamaLLM to serve models when generating the synthetic datasets using Distilabel, I am facing this issue and even changing the versions of ollama and pydantic doesn't help me. Please have a look into this.
Traceback (most recent call last):
File "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/distilabel/llms/base.py", line 501, in __del__
if self._new_event_loop:
^^^^^^^^^^^^^^^^^^^^
File "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/pydantic/main.py", line 970, in __getattr__
return self.__pydantic_private__[item] # type: ignore
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/pydantic/main.py", line 988, in __getattr__
return super().__getattribute__(item) # Raises AttributeError if appropriate
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
AttributeError: 'OllamaLLM' object has no attribute '__pydantic_private__'
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