diff --git a/vllm/model_executor/model_loader/weight_utils.py b/vllm/model_executor/model_loader/weight_utils.py
index cade0a1dd595..68ade319df28 100644
--- a/vllm/model_executor/model_loader/weight_utils.py
+++ b/vllm/model_executor/model_loader/weight_utils.py
@@ -6,6 +6,7 @@
 import json
 import os
 import tempfile
+import time
 from collections import defaultdict
 from typing import Any, Callable, Dict, Generator, List, Optional, Tuple, Union
 
@@ -14,7 +15,8 @@
 import huggingface_hub.constants
 import numpy as np
 import torch
-from huggingface_hub import HfFileSystem, hf_hub_download, snapshot_download
+from huggingface_hub import (HfFileSystem, hf_hub_download, scan_cache_dir,
+                             snapshot_download)
 from safetensors.torch import load_file, safe_open, save_file
 from tqdm.auto import tqdm
 
@@ -253,6 +255,8 @@ def download_weights_from_hf(
     # Use file lock to prevent multiple processes from
     # downloading the same model weights at the same time.
     with get_lock(model_name_or_path, cache_dir):
+        start_size = scan_cache_dir().size_on_disk
+        start_time = time.perf_counter()
         hf_folder = snapshot_download(
             model_name_or_path,
             allow_patterns=allow_patterns,
@@ -262,6 +266,11 @@ def download_weights_from_hf(
             revision=revision,
             local_files_only=huggingface_hub.constants.HF_HUB_OFFLINE,
         )
+        end_time = time.perf_counter()
+        end_size = scan_cache_dir().size_on_disk
+        if end_size != start_size:
+            logger.info("Time took to download weights for %s: %.6f seconds",
+                        model_name_or_path, end_time - start_time)
     return hf_folder