diff --git a/examples/inference-deployments/mpt/mpt_ft_handler.py b/examples/inference-deployments/mpt/mpt_ft_handler.py
index 570e9de02..2325eb9e7 100644
--- a/examples/inference-deployments/mpt/mpt_ft_handler.py
+++ b/examples/inference-deployments/mpt/mpt_ft_handler.py
@@ -27,6 +27,7 @@
 
 def download_convert(s3_path: Optional[str] = None,
                      hf_path: Optional[str] = None,
+                     gcp_path: Optional[str] = None,
                      gpus: int = 1,
                      force_conversion: bool = False):
     """Download model and convert to FasterTransformer format.
@@ -35,16 +36,35 @@ def download_convert(s3_path: Optional[str] = None,
         s3_path (str): Path for model location in an s3 bucket.
         hf_path (str): Name of the model as on HF hub (e.g., mosaicml/mpt-7b-instruct) or local folder name containing
             the model (e.g., mpt-7b-instruct)
+        gcp_path (str): Path for model location in a gcp bucket.
         gpus (int): Number of gpus to use for inference (Default: 1)
         force_conversion (bool): Force conversion to FT even if some features may not work as expected in FT (Default: False)
     """
-    if not s3_path and not hf_path:
+    if not s3_path and not gcp_path and not hf_path:
         raise RuntimeError(
-            'Either s3_path or hf_path must be provided to download_convert')
+            'Either s3_path, gcp_path, or hf_path must be provided to download_convert'
+        )
     model_name_or_path: str = ''
+
+    # If s3_path or gcp_path is provided, initialize the s3 client for download
+    s3 = None
+    download_from_path = None
     if s3_path:
         # s3 creds need to already be present as env vars
         s3 = boto3.client('s3')
+        download_from_path = s3_path
+    if gcp_path:
+        s3 = boto3.client(
+            's3',
+            region_name='auto',
+            endpoint_url='https://storage.googleapis.com',
+            aws_access_key_id=os.environ['GCS_KEY'],
+            aws_secret_access_key=os.environ['GCS_SECRET'],
+        )
+        download_from_path = gcp_path
+
+    # If either s3_path or gcp_path is provided, download files
+    if s3:
         model_name_or_path = LOCAL_MODEL_PATH
 
         # Download model files
@@ -55,22 +75,31 @@ def download_convert(s3_path: Optional[str] = None,
         else:
             Path(LOCAL_MODEL_PATH).mkdir(parents=True, exist_ok=True)
 
-            print(f'Downloading model from path: {s3_path}')
+            print(f'Downloading model from path: {download_from_path}')
 
-            parsed_path = urlparse(s3_path)
+            parsed_path = urlparse(download_from_path)
+            prefix = parsed_path.path.lstrip('/')  # type: ignore
 
             objs = s3.list_objects_v2(
                 Bucket=parsed_path.netloc,
-                Prefix=parsed_path.path.lstrip('/'),
+                Prefix=prefix,
             )
+            downloaded_file_set = set(os.listdir(LOCAL_MODEL_PATH))
             for obj in objs['Contents']:
                 file_key = obj['Key']
                 try:
                     file_name = os.path.basename(file_key)
-                    s3.download_file(Bucket=parsed_path.netloc,
-                                     Key=file_key,
-                                     Filename=os.path.join(
-                                         LOCAL_MODEL_PATH, file_name))
+                    if not file_name or file_name.startswith('.'):
+                        # Ignore hidden files
+                        continue
+                    if file_name not in downloaded_file_set:
+                        print(
+                            f'Downloading {os.path.join(LOCAL_MODEL_PATH, file_name)}...'
+                        )
+                        s3.download_file(Bucket=parsed_path.netloc,
+                                         Key=file_key,
+                                         Filename=os.path.join(
+                                             LOCAL_MODEL_PATH, file_name))
                 except botocore.exceptions.ClientError as e:
                     print(
                         f'Error downloading file with key: {file_key} with error: {e}'