[BUG] search_knowledgebase_complex.py如何加载本地模型进行Rag？model_container.MODEL应该如何修改成自己的本地模型？

[a113ert222]

2024-05-23 21:46:09,052 - utils.py[line:145] - INFO: Note: detected 96 virtual cores but NumExpr set to maximum of 64, check "NUMEXPR_MAX_THREADS" environment variable.
2024-05-23 21:46:09,052 - utils.py[line:148] - INFO: Note: NumExpr detected 96 cores but "NUMEXPR_MAX_THREADS" not set, so enforcing safe limit of 8.
2024-05-23 21:46:09,052 - utils.py[line:160] - INFO: NumExpr defaulting to 8 threads.
Traceback (most recent call last):
File "/home/user/Langchain-Chatchat/server/agent/tools/search_knowledgebase_complex.py", line 280, in
result = search_knowledgebase_complex("机器人和大数据在代码教学上有什么区别")
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/user/Langchain-Chatchat/server/agent/tools/search_knowledgebase_complex.py", line 272, in search_knowledgebase_complex
llm_knowledge = LLMKnowledgeChain.from_llm(model, verbose=True, prompt=PROMPT)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/user/Langchain-Chatchat/server/agent/tools/search_knowledgebase_complex.py", line 266, in from_llm
llm_chain = LLMChain(llm=llm, prompt=prompt)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/user/miniconda3/envs/langchain-cc/lib/python3.11/site-packages/langchain_core/load/serializable.py", line 107, in init
super().init(**kwargs)
File "pydantic/main.py", line 341, in pydantic.main.BaseModel.init
pydantic.error_wrappers.ValidationError: 2 validation errors for LLMChain
llm
instance of Runnable expected (type=type_error.arbitrary_type; expected_arbitrary_type=Runnable)
llm
instance of Runnable expected (type=type_error.arbitrary_type; expected_arbitrary_type=Runnable)

这是search_knowledgebase_complex.py的报错信息，输入的model_container.MODEL不是一个Runnable的对象，要如何加载模型，变成BaseLanguageModel?