class_docstr: Langchain LLM wrapper for a local LLM
docstr: Get the identifying parameters.
docstr_tok: ["Get","the","identifying","parameters","."]
code: def _identifying_params(self) -> Mapping[str, int]:
      """Get the identifying parameters."""
      return {"n": self.n}
  
imports: from typing import Any, List, Mapping, Optional
  import torch
  from colossalqa.local.utils import get_response, post_http_request
  from colossalqa.mylogging import get_logger
  from langchain.callbacks.manager import CallbackManagerForLLMRun
  from langchain.llms.base import LLM
  from transformers import AutoModelForCausalLM, AutoTokenizer
label_desc: Use image node_id 3 for calling the ColossalLLM obj's underlying member method code with example usage: obj._identifying_params() and returns: dict