diff --git a/src/sagemaker/model.py b/src/sagemaker/model.py
index 4f4ae6a3dd..d8ad818ce5 100644
--- a/src/sagemaker/model.py
+++ b/src/sagemaker/model.py
@@ -454,9 +454,14 @@ def _upload_code(self, key_prefix: str, repack: bool = False) -> None:
             if is_pipeline_variable(self.model_data):
                 # model is not yet there, defer repacking to later during pipeline execution
                 return
-
-            bucket = self.bucket or self.sagemaker_session.default_bucket()
-            repacked_model_data = "s3://" + "/".join([bucket, key_prefix, "model.tar.gz"])
+            if local_code and self.model_data.startswith("file://"):
+                repacked_model_data = self.model_data
+            else:
+                bucket = self.bucket or self.sagemaker_session.default_bucket()
+                repacked_model_data = "s3://" + "/".join([bucket, key_prefix, "model.tar.gz"])
+                self.uploaded_code = fw_utils.UploadedCode(
+                    s3_prefix=repacked_model_data, script_name=os.path.basename(self.entry_point)
+                )
 
             utils.repack_model(
                 inference_script=self.entry_point,
@@ -469,9 +474,6 @@ def _upload_code(self, key_prefix: str, repack: bool = False) -> None:
             )
 
             self.repacked_model_data = repacked_model_data
-            self.uploaded_code = fw_utils.UploadedCode(
-                s3_prefix=self.repacked_model_data, script_name=os.path.basename(self.entry_point)
-            )
 
     def _script_mode_env_vars(self):
         """Returns a mapping of environment variables for script mode execution"""
diff --git a/tests/integ/test_local_mode.py b/tests/integ/test_local_mode.py
index af80be73f7..0c3bf140c3 100644
--- a/tests/integ/test_local_mode.py
+++ b/tests/integ/test_local_mode.py
@@ -24,6 +24,7 @@
 
 import tests.integ.lock as lock
 from tests.integ import DATA_DIR
+from mock import Mock, ANY
 
 from sagemaker import image_uris
 
@@ -221,6 +222,13 @@ def test_mxnet_local_data_local_script(
 ):
     data_path = os.path.join(DATA_DIR, "mxnet_mnist")
     script_path = os.path.join(data_path, "mnist.py")
+    local_no_s3_session = LocalNoS3Session()
+    local_no_s3_session.boto_session.resource = Mock(
+        side_effect=local_no_s3_session.boto_session.resource
+    )
+    local_no_s3_session.boto_session.client = Mock(
+        side_effect=local_no_s3_session.boto_session.client
+    )
 
     mx = MXNet(
         entry_point=script_path,
@@ -229,7 +237,7 @@ def test_mxnet_local_data_local_script(
         instance_type="local",
         framework_version=mxnet_training_latest_version,
         py_version=mxnet_training_latest_py_version,
-        sagemaker_session=LocalNoS3Session(),
+        sagemaker_session=local_no_s3_session,
     )
 
     train_input = "file://" + os.path.join(data_path, "train")
@@ -243,6 +251,11 @@ def test_mxnet_local_data_local_script(
             predictor = mx.deploy(1, "local", endpoint_name=endpoint_name)
             data = numpy.zeros(shape=(1, 1, 28, 28))
             predictor.predict(data)
+            # check if no boto_session s3 calls were made
+            with pytest.raises(AssertionError):
+                local_no_s3_session.boto_session.resource.assert_called_with("s3", region_name=ANY)
+            with pytest.raises(AssertionError):
+                local_no_s3_session.boto_session.client.assert_called_with("s3", region_name=ANY)
         finally:
             predictor.delete_endpoint()