diff --git a/llms/mlx_lm/utils.py b/llms/mlx_lm/utils.py
index e604b09c..670af8f6 100644
--- a/llms/mlx_lm/utils.py
+++ b/llms/mlx_lm/utils.py
@@ -16,11 +16,13 @@ from typing import Any, Callable, Dict, Generator, List, Optional, Tuple, Type,
 
 import mlx.core as mx
 import mlx.nn as nn
-if os.getenv('MLX_USE_MODELSCOPE', 'False').lower() == 'true':
-    print(">> Using ModelScope")
+
+use_modelscope = os.getenv('MLX_USE_MODELSCOPE', 'False').lower() == 'true'
+if use_modelscope:
     from modelscope import snapshot_download
 else:
     from huggingface_hub import snapshot_download
+
 from mlx.utils import tree_flatten, tree_reduce
 from transformers import PreTrainedTokenizer
 
@@ -158,26 +160,39 @@ def get_model_path(path_or_hf_repo: str, revision: Optional[str] = None) -> Path
         Path: The path to the model.
     """
     model_path = Path(path_or_hf_repo)
-    print(f'>>model_path: {model_path}')
-    revision = revision or 'master'
-    print(f'>>revision: {revision}')
 
     if not model_path.exists():
         try:
-            model_path = Path(
-                snapshot_download(
-                    repo_id=path_or_hf_repo,
-                    revision=revision,
-                    allow_patterns=[
-                        "*.json",
-                        "*.safetensors",
-                        "*.py",
-                        "tokenizer.model",
-                        "*.tiktoken",
-                        "*.txt",
-                    ],
+            if use_modelscope:
+                model_path = Path(
+                    snapshot_download(
+                        model_id=path_or_hf_repo,
+                        revision=revision or 'master',
+                        allow_patterns=[
+                            "*.json",
+                            "*.safetensors",
+                            "*.py",
+                            "tokenizer.model",
+                            "*.tiktoken",
+                            "*.txt",
+                        ],
+                    )
+                )
+            else:
+                model_path = Path(
+                    snapshot_download(
+                        repo_id=path_or_hf_repo,
+                        revision=revision,
+                        allow_patterns=[
+                            "*.json",
+                            "*.safetensors",
+                            "*.py",
+                            "tokenizer.model",
+                            "*.tiktoken",
+                            "*.txt",
+                        ],
+                    )
                 )
-            )
         except:
             raise ModelNotFoundError(
                 f"Model not found for path or HF repo: {path_or_hf_repo}.\n"