code: def test_local_path_loading(tmpdir):
      """Tests that local paths can be used to load models."""
  
      from huggingface_hub import snapshot_download
  
      # Download the model to a local directory
      local_path: str = f"{str(tmpdir)}/test_local_path_loading"
      repo_id: str = "HuggingFaceH4/tiny-random-LlamaForCausalLM"
      os.makedirs(local_path, exist_ok=True)
      snapshot_download(repo_id=repo_id, local_dir=local_path)
  
      # Load the model using the local path
      config1 = {
          MODEL_TYPE: MODEL_LLM,
          BASE_MODEL: local_path,
          INPUT_FEATURES: [
              text_feature(
                  name="input", encoder={"type": "passthrough"}
              )
          ],
          OUTPUT_FEATURES: [text_feature(name="output")],
      }
      config_obj1 = ModelConfig.from_dict(config1)
      model1 = LLM(config_obj1)
  
      # Load the model using the repo id
      config2 = {
          MODEL_TYPE: MODEL_LLM,
          BASE_MODEL: repo_id,
          INPUT_FEATURES: [
              text_feature(
                  name="input", encoder={"type": "passthrough"}
              )
          ],
          OUTPUT_FEATURES: [text_feature(name="output")],
      }
      config_obj2 = ModelConfig.from_dict(config2)
      model2 = LLM(config_obj2)
  
      # Check that the models are the same
      assert _compare_models(model1.model, model2.model)
  
imports: from __future__ import annotations
  import copy
  import json
  import os
  import pathlib
  from typing import Any
  import numpy
  import pandas
  import pytest
  import torch
  import ludwig.error
  from ludwig.api import LudwigModel
  from ludwig.constants import ADAPTER, BACKEND, BASE_MODEL, BATCH_SIZE, COMBINER, EPOCHS, GENERATION, INPUT_FEATURES, MERGE_ADAPTER_INTO_BASE_MODEL, MODEL_ECD, MODEL_LLM, MODEL_TYPE, OUTPUT_FEATURES, POSTPROCESSOR, PREPROCESSING, PRETRAINED_ADAPTER_WEIGHTS, PROGRESSBAR, PROMPT, QUANTIZATION, TARGET_MODULES, TRAINER, TYPE
  from ludwig.models.llm import LLM
  from ludwig.schema.model_types.base import ModelConfig
  from ludwig.utils.fs_utils import list_file_names_in_directory
  from ludwig.utils.types import DataFrame
  from tests.integration_tests.utils import category_feature, generate_data, text_feature
label_desc: Use image node_id 25 for calling a global function with example usage: test_local_path_loading(tmpdir) without return types