diff --git a/gpt4all-bindings/python/gpt4all/gpt4all.py b/gpt4all-bindings/python/gpt4all/gpt4all.py
index 767b4837..492c34c8 100644
--- a/gpt4all-bindings/python/gpt4all/gpt4all.py
+++ b/gpt4all-bindings/python/gpt4all/gpt4all.py
@@ -58,7 +58,7 @@ class GPT4All():
         return requests.get("https://gpt4all.io/models/models.json").json()
 
     @staticmethod
-    def retrieve_model(model_name: str, model_path: str = None, allow_download: bool = True) -> str:
+    def retrieve_model(model_name: str, model_path: str = None, allow_download: bool = True, verbose: bool = True) -> str:
         """
         Find model file, and if it doesn't exist, download the model.
 
@@ -67,6 +67,7 @@ class GPT4All():
             model_path: Path to find model. Default is None in which case path is set to
                 ~/.cache/gpt4all/.
             allow_download: Allow API to download model from gpt4all.io. Default is True.
+            verbose: If True (default), print debug messages.
 
         Returns:
             Model file destination.
@@ -92,7 +93,8 @@ class GPT4All():
 
         model_dest = os.path.join(model_path, model_filename).replace("\\", "\\\\")
         if os.path.exists(model_dest):
-            print("Found model file at ", model_dest)
+            if verbose:
+                print("Found model file at ", model_dest)
             return model_dest
 
         # If model file does not exist, download
@@ -106,13 +108,14 @@ class GPT4All():
             raise ValueError("Failed to retrieve model")
 
     @staticmethod
-    def download_model(model_filename: str, model_path: str) -> str:
+    def download_model(model_filename: str, model_path: str, verbose: bool) -> str:
         """
         Download model from https://gpt4all.io.
 
         Args:
             model_filename: Filename of model (with .bin extension).
             model_path: Path to download model to.
+            verbose: If True (default), print debug messages.
 
         Returns:
             Model file destination.
@@ -137,7 +140,8 @@ class GPT4All():
                         file.write(data)
             except Exception:
                 if os.path.exists(download_path):
-                    print('Cleaning up the interrupted download...')
+                    if verbose:
+                        print('Cleaning up the interrupted download...')
                     os.remove(download_path)
                 raise
 
@@ -150,7 +154,8 @@ class GPT4All():
         # Sleep for a little bit so OS can remove file lock
         time.sleep(2)
 
-        print("Model downloaded at: " + download_path)
+        if verbose:
+            print("Model downloaded at: ", download_path)
         return download_path
 
     def generate(self, prompt: str, streaming: bool = True, **generate_kwargs) -> str: