code: def _init_llama_path(opt):
      # load model path
      fle_key = opt["llama_model_dir"]
      # check if datapath has the files that hugging face code looks for
      model_pattern = re.compile("pytorch_model.*.bin$")
      assert (
          all(
              PathManager.exists(os.path.join(fle_key, file_name))
              for file_name in ["config.json", "tokenizer.model"]
          )
          and len(
              [
                  file
                  for file in os.listdir(fle_key)
                  if re.search(model_pattern, file)
              ]
          )
          > 0
      )
      return fle_key
  
imports: import os
  import re
  from abc import ABC, abstractmethod, abstractproperty
  from collections import defaultdict
  from typing import List
  from parlai.core.dict import DictionaryAgent
  from parlai.core.opt import Opt
  from parlai.utils.io import PathManager
label_desc: Use image node_id 1 for calling a global function with example usage: _init_llama_path(opt) and returns: fle_key