code: def test_optimize_transformers_llama(self):
      from transformers import AutoModelForCausalLM as AutoCLM
  
      with tempfile.TemporaryDirectory(dir=output_dir) as tempdir:
          model = AutoCLM.from_pretrained(
              llama_model_path,
              torch_dtype="auto",
              low_cpu_mem_usage=True,
              trust_remote_code=True,
          )
          model = optimize_model(model)
          model.save_low_bit(tempdir)
          with low_memory_init():
              new_model = AutoCLM.from_pretrained(
                  tempdir, torch_dtype="auto", trust_remote_code=True
              )
          new_model = load_low_bit(new_model, model_path=tempdir)
          assert new_model is not None
  
file_path: BigDL/python/llm/test/convert/test_convert_model.py
imports: import pytest
  import os
  import tempfile
  from unittest import TestCase
  import shutil
  from bigdl.llm import llm_convert
  from bigdl.llm.transformers import AutoModelForCausalLM
  from bigdl.llm.optimize import optimize_model, load_low_bit, low_memory_init
label_desc: Use image node_id 9 for calling the TestConvertModel obj's underlying member method code with example usage: obj.test_optimize_transformers_llama() without return types