code: def get_args():
      parser = ArgumentParser()
      parser.add_argument(
          "--in-file",
          type=str,
          default=None,
          required=True,
          help="Path to .nemo file",
      )
      parser.add_argument(
          "--out-file",
          type=str,
          default=None,
          required=True,
          help="Path to HF .bin file",
      )
      parser.add_argument(
          "--hf-in-path",
          type=str,
          default=None,
          help="A HF model path, "
          "e.g. a folder containing https://huggingface.co/meta-llama/Llama-2-7b-hf/tree/main",
      )
      parser.add_argument(
          "--hf-out-path",
          type=str,
          default=None,
          help="Output HF model path, "
          "with the same format as above but user's own weights",
      )
      parser.add_argument(
          "--precision",
          type=str,
          default=None,
          help="Precision of output weights."
          "Defaults to precision of the input nemo weights (model.cfg.trainer.precision)",
      )
      parser.add_argument(
          "--cpu-only",
          action="store_true",
          help="Load model in cpu only. Useful if the model cannot fit in GPU memory, "
          "but this option makes the conversion script significantly slower.",
      )
      args = parser.parse_args()
      return args
  
file_path: NeMo/scripts/nlp_language_modeling/convert_nemo_llama_to_hf.py
imports: import os
  from argparse import ArgumentParser
  from collections import OrderedDict
  import torch
  from pytorch_lightning import Trainer
  from transformers import AutoModelForCausalLM
  from nemo.collections.nlp.models.language_modeling.megatron_gpt_model import MegatronGPTModel
  from nemo.collections.nlp.parts.nlp_overrides import NLPDDPStrategy
  from nemo.utils import logging
label_desc: Use image node_id 1 for calling a global function with example usage: get_args() and returns: args