```

---> 27 embed_model = OllamaEmbedding(model_name=self._model, base_url=self._base_url)


ValueError: "OllamaEmbedding" object has no field "_verbose"

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
Cell In[16], line 2
      1 # You can use any llama-hub loader ooto get documents!
----> 2 ollama_pack = OllamaQueryEnginePack(model="phi", documents=documents)

File ~/work/SPEED/ollama_pack/base.py:27, in OllamaQueryEnginePack.__init__(self, model, base_url, documents)
     23 self._base_url = base_url
     25 llm = Ollama(model=self._model, base_url=self._base_url)
---> 27 embed_model = OllamaEmbedding(model_name=self._model, base_url=self._base_url)
     29 service_context = ServiceContext.from_defaults(llm=llm, embed_model=embed_model)
     31 self.llm = llm

File ~/work/SPEED/ollama_pack/base.py:69, in OllamaEmbedding.__init__(self, model_name, base_url, verbose, **kwargs)
     57 def __init__(
     58     self,
     59     model_name: str,
   (...)
     62     **kwargs: Any,
     63 ) -> None:
     64     super().__init__(
     65         model_name=model_name,
     66         **kwargs,
     67     )
---> 69     self._verbose = verbose
     70     self._base_url = base_url

File /opt/conda/lib/python3.11/site-packages/pydantic/v1/main.py:357, in BaseModel.__setattr__(self, name, value)
    354     return object_setattr(self, name, value)
    356 if self.__config__.extra is not Extra.allow and name not in self.__fields__:
--> 357     raise ValueError(f'"{self.__class__.__name__}" object has no field "{name}"')
    358 elif not self.__config__.allow_mutation or self.__config__.frozen:
    359     raise TypeError(f'"{self.__class__.__name__}" is immutable and does not support item assignment')

ValueError: "OllamaEmbedding" object has no field "_verbose"

pip uninstall -y llama-index
pip install llama-index==0.9.21

  jupyter-main:
    image: jupyter/datascience-notebook:latest
    ports:
      - 8888:8888
    volumes:
      - jupyter_volume:/home/jovyan/work
    container_name: jupyter-main
    environment:
      - JUPYTER_ENABLE_LAB=yes
      - JUPYTER_TOKEN=docker

conda create --name llama-index python=3.11
conda activate llama-index
pip install llama-index ...