code: def download(n_layers: int = 44):
      """
      ## Download all checkpoint files
      """
  
      # Get files to download
      files = get_files_to_download(n_layers)
  
      # Iterate
      for i, f in monit.enum("Download All", files):
          # Log
          logger.log(
              [
                  "Downloading ",
                  (f"{i + 1 :3d}/{len(files)}", Text.meta),
                  ": ",
                  (f, Text.value),
              ]
          )
          # Download
          download_file(
              CHECKPOINTS_URL + f, get_checkpoints_download_path() / f
          )
  
file_path: annotated_deep_learning_paper_implementations/labml_nn/neox/checkpoint.py
imports: from pathlib import Path
  from typing import Dict, Union, Tuple, Optional
  import torch
  from torch import nn
  from labml import monit, lab, logger
  from labml.logger import Text, inspect
  from labml.utils.download import download_file
label_desc: Use image node_id 3 for calling a global function with example usage: download(n_layers) without return types