class_docstr: Wrapper around the BigDL-LLM
  
  Example:
      .. code-block:: python
  
          from langchain.llms import BigdlNativeLLM
          llm = BigdlNativeLLM(model_path="/path/to/llama/model")
docstr: Get the identifying parameters.
docstr_tok: ["Get","the","identifying","parameters","."]
code: def _identifying_params(self) -> Dict[str, Any]:
      """Get the identifying parameters."""
      return {
          **{
              "model_path": self.model_path,
              "model_family": self.model_family,
          },
          **self._default_params,
      }
  
imports: import logging
  import importlib
  from typing import Any, Dict, Generator, List, Optional
  from pydantic import Field, root_validator
  from langchain.callbacks.manager import CallbackManagerForLLMRun
  from langchain.llms.base import LLM
  from .transformersllm import TransformersLLM
label_desc: Use image node_id 3 for calling the BigdlNativeLLM obj's underlying member method code with example usage: obj._identifying_params() and returns: dict