diff --git a/torchchat/cli/download.py b/torchchat/cli/download.py
index 14dfeb062..f145c93fb 100644
--- a/torchchat/cli/download.py
+++ b/torchchat/cli/download.py
@@ -10,7 +10,10 @@
 from pathlib import Path
 from typing import Optional
 
-from torchchat.cli.convert_hf_checkpoint import convert_hf_checkpoint, convert_hf_checkpoint_to_tune
+from torchchat.cli.convert_hf_checkpoint import (
+    convert_hf_checkpoint,
+    convert_hf_checkpoint_to_tune,
+)
 from torchchat.model_config.model_config import (
     load_model_configs,
     ModelConfig,
@@ -57,7 +60,6 @@ def _download_hf_snapshot(
         snapshot_download(
             model_config.distribution_path,
             local_dir=artifact_dir,
-            local_dir_use_symlinks=False,
             token=hf_token,
             ignore_patterns=ignore_patterns,
         )
@@ -77,9 +79,14 @@ def _download_hf_snapshot(
             raise e
 
     # Convert the Multimodal Llama model to the torchtune format.
-    if model_config.name in {"meta-llama/Llama-3.2-11B-Vision-Instruct", "meta-llama/Llama-3.2-11B-Vision"}:
+    if model_config.name in {
+        "meta-llama/Llama-3.2-11B-Vision-Instruct",
+        "meta-llama/Llama-3.2-11B-Vision",
+    }:
         print(f"Converting {model_config.name} to torchtune format...", file=sys.stderr)
-        convert_hf_checkpoint_to_tune( model_dir=artifact_dir, model_name=model_config.name)
+        convert_hf_checkpoint_to_tune(
+            model_dir=artifact_dir, model_name=model_config.name
+        )
 
     else:
         # Convert the model to the torchchat format.