makungaj1
diff --git a/‎src/sagemaker/accept_types.py
+3 b/‎src/sagemaker/accept_types.py
+3
diff --git a/‎src/sagemaker/content_types.py
+3 b/‎src/sagemaker/content_types.py
+3
diff --git a/‎src/sagemaker/deserializers.py
+3 b/‎src/sagemaker/deserializers.py
+3
diff --git a/‎src/sagemaker/environment_variables.py
+3 b/‎src/sagemaker/environment_variables.py
+3
diff --git a/‎src/sagemaker/hyperparameters.py
+3 b/‎src/sagemaker/hyperparameters.py
+3
diff --git a/‎src/sagemaker/image_uris.py
+3 b/‎src/sagemaker/image_uris.py
+3
diff --git a/‎src/sagemaker/instance_types.py
+3 b/‎src/sagemaker/instance_types.py
+3
diff --git a/‎src/sagemaker/jumpstart/artifacts/environment_variables.py
+7 b/‎src/sagemaker/jumpstart/artifacts/environment_variables.py
+7
diff --git a/‎src/sagemaker/jumpstart/artifacts/hyperparameters.py
+3 b/‎src/sagemaker/jumpstart/artifacts/hyperparameters.py
+3
diff --git a/‎src/sagemaker/jumpstart/artifacts/image_uris.py
+4 b/‎src/sagemaker/jumpstart/artifacts/image_uris.py
+4
diff --git a/‎src/sagemaker/jumpstart/artifacts/incremental_training.py
+3 b/‎src/sagemaker/jumpstart/artifacts/incremental_training.py
+3
diff --git a/‎src/sagemaker/jumpstart/artifacts/instance_types.py
+6 b/‎src/sagemaker/jumpstart/artifacts/instance_types.py
+6
@@ -77,6 +77,7 @@ def retrieve_default(
     tolerate_deprecated_model: bool = False,
     sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
     model_type: JumpStartModelType = JumpStartModelType.OPEN_WEIGHTS,
+    config_name: Optional[str] = None,
 ) -> str:
     """Retrieves the default accept type for the model matching the given arguments.
 
@@ -98,6 +99,7 @@ def retrieve_default(
             object, used for SageMaker interactions. If not
             specified, one is created using the default AWS configuration
             chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
+        config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
     Returns:
         str: The default accept type to use for the model.
 
@@ -117,4 +119,5 @@ def retrieve_default(
         tolerate_deprecated_model,
         sagemaker_session=sagemaker_session,
         model_type=model_type,
+        config_name=config_name,
     )
@@ -77,6 +77,7 @@ def retrieve_default(
     tolerate_deprecated_model: bool = False,
     sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
     model_type: JumpStartModelType = JumpStartModelType.OPEN_WEIGHTS,
+    config_name: Optional[str] = None,
 ) -> str:
     """Retrieves the default content type for the model matching the given arguments.
 
@@ -98,6 +99,7 @@ def retrieve_default(
             object, used for SageMaker interactions. If not
             specified, one is created using the default AWS configuration
             chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
+        config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
     Returns:
         str: The default content type to use for the model.
 
@@ -117,6 +119,7 @@ def retrieve_default(
         tolerate_deprecated_model,
         sagemaker_session=sagemaker_session,
         model_type=model_type,
+        config_name=config_name,
     )
 
 
 
@@ -97,6 +97,7 @@ def retrieve_default(
     tolerate_deprecated_model: bool = False,
     sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
     model_type: JumpStartModelType = JumpStartModelType.OPEN_WEIGHTS,
+    config_name: Optional[str] = None,
 ) -> BaseDeserializer:
     """Retrieves the default deserializer for the model matching the given arguments.
 
@@ -118,6 +119,7 @@ def retrieve_default(
             object, used for SageMaker interactions. If not
             specified, one is created using the default AWS configuration
             chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
+        config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
     Returns:
         BaseDeserializer: The default deserializer to use for the model.
 
@@ -138,4 +140,5 @@ def retrieve_default(
         tolerate_deprecated_model,
         sagemaker_session=sagemaker_session,
         model_type=model_type,
+        config_name=config_name,
     )
@@ -36,6 +36,7 @@ def retrieve_default(
     sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
     instance_type: Optional[str] = None,
     script: JumpStartScriptScope = JumpStartScriptScope.INFERENCE,
+    config_name: Optional[str] = None,
 ) -> Dict[str, str]:
     """Retrieves the default container environment variables for the model matching the arguments.
 
@@ -65,6 +66,7 @@ def retrieve_default(
             variables specific for the instance type.
         script (JumpStartScriptScope): The JumpStart script for which to retrieve environment
             variables.
+        config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
     Returns:
         dict: The variables to use for the model.
 
@@ -87,4 +89,5 @@ def retrieve_default(
         sagemaker_session=sagemaker_session,
         instance_type=instance_type,
         script=script,
+        config_name=config_name,
     )
@@ -36,6 +36,7 @@ def retrieve_default(
     tolerate_vulnerable_model: bool = False,
     tolerate_deprecated_model: bool = False,
     sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
+    config_name: Optional[str] = None,
 ) -> Dict[str, str]:
     """Retrieves the default training hyperparameters for the model matching the given arguments.
 
@@ -66,6 +67,7 @@ def retrieve_default(
             object, used for SageMaker interactions. If not
             specified, one is created using the default AWS configuration
             chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
+        config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
     Returns:
         dict: The hyperparameters to use for the model.
 
@@ -86,6 +88,7 @@ def retrieve_default(
         tolerate_vulnerable_model=tolerate_vulnerable_model,
         tolerate_deprecated_model=tolerate_deprecated_model,
         sagemaker_session=sagemaker_session,
+        config_name=config_name,
     )
 
 
 
@@ -70,6 +70,7 @@ def retrieve(
     inference_tool=None,
     serverless_inference_config=None,
     sagemaker_session=DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
+    config_name=None,
 ) -> str:
     """Retrieves the ECR URI for the Docker image matching the given arguments.
 
@@ -123,6 +124,7 @@ def retrieve(
             object, used for SageMaker interactions. If not
             specified, one is created using the default AWS configuration
             chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
+        config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
 
     Returns:
         str: The ECR URI for the corresponding SageMaker Docker image.
@@ -162,6 +164,7 @@ def retrieve(
             tolerate_vulnerable_model,
             tolerate_deprecated_model,
             sagemaker_session=sagemaker_session,
+            config_name=config_name,
         )
 
     if training_compiler_config and (framework in [HUGGING_FACE_FRAMEWORK, "pytorch"]):
 
@@ -36,6 +36,7 @@ def retrieve_default(
     sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
     training_instance_type: Optional[str] = None,
     model_type: JumpStartModelType = JumpStartModelType.OPEN_WEIGHTS,
+    config_name: Optional[str] = None,
 ) -> str:
     """Retrieves the default instance type for the model matching the given arguments.
 
@@ -64,6 +65,7 @@ def retrieve_default(
             Optionally supply this to get a inference instance type conditioned
             on the training instance, to ensure compatability of training artifact to inference
             instance. (Default: None).
+        config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
     Returns:
         str: The default instance type to use for the model.
 
@@ -88,6 +90,7 @@ def retrieve_default(
         sagemaker_session=sagemaker_session,
         training_instance_type=training_instance_type,
         model_type=model_type,
+        config_name=config_name,
     )
 
 
 
@@ -39,6 +39,7 @@ def _retrieve_default_environment_variables(
     sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
     instance_type: Optional[str] = None,
     script: JumpStartScriptScope = JumpStartScriptScope.INFERENCE,
+    config_name: Optional[str] = None,
 ) -> Dict[str, str]:
     """Retrieves the inference environment variables for the model matching the given arguments.
 
@@ -68,6 +69,7 @@ def _retrieve_default_environment_variables(
             environment variables specific for the instance type.
         script (JumpStartScriptScope): The JumpStart script for which to retrieve
             environment variables.
+        config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
     Returns:
         dict: the inference environment variables to use for the model.
     """
@@ -84,6 +86,7 @@ def _retrieve_default_environment_variables(
         tolerate_vulnerable_model=tolerate_vulnerable_model,
         tolerate_deprecated_model=tolerate_deprecated_model,
         sagemaker_session=sagemaker_session,
+        config_name=config_name,
     )
 
     default_environment_variables: Dict[str, str] = {}
@@ -121,6 +124,7 @@ def _retrieve_default_environment_variables(
                     tolerate_deprecated_model=tolerate_deprecated_model,
                     sagemaker_session=sagemaker_session,
                     instance_type=instance_type,
+                    config_name=config_name,
                 )
             )
 
@@ -167,6 +171,7 @@ def _retrieve_gated_model_uri_env_var_value(
     tolerate_deprecated_model: bool = False,
     sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
     instance_type: Optional[str] = None,
+    config_name: Optional[str] = None,
 ) -> Optional[str]:
     """Retrieves the gated model env var URI matching the given arguments.
 
@@ -190,6 +195,7 @@ def _retrieve_gated_model_uri_env_var_value(
             chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
         instance_type (str): An instance type to optionally supply in order to get
             environment variables specific for the instance type.
+        config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
 
     Returns:
         Optional[str]: the s3 URI to use for the environment variable, or None if the model does not
@@ -211,6 +217,7 @@ def _retrieve_gated_model_uri_env_var_value(
         tolerate_vulnerable_model=tolerate_vulnerable_model,
         tolerate_deprecated_model=tolerate_deprecated_model,
         sagemaker_session=sagemaker_session,
+        config_name=config_name,
     )
 
     s3_key: Optional[str] = (
 
@@ -36,6 +36,7 @@ def _retrieve_default_hyperparameters(
     tolerate_deprecated_model: bool = False,
     sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
     instance_type: Optional[str] = None,
+    config_name: Optional[str] = None,
 ):
     """Retrieves the training hyperparameters for the model matching the given arguments.
 
@@ -66,6 +67,7 @@ def _retrieve_default_hyperparameters(
             chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
         instance_type (str): An instance type to optionally supply in order to get hyperparameters
             specific for the instance type.
+        config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
     Returns:
         dict: the hyperparameters to use for the model.
     """
@@ -82,6 +84,7 @@ def _retrieve_default_hyperparameters(
         tolerate_vulnerable_model=tolerate_vulnerable_model,
         tolerate_deprecated_model=tolerate_deprecated_model,
         sagemaker_session=sagemaker_session,
+        config_name=config_name,
     )
 
     default_hyperparameters: Dict[str, str] = {}
 
@@ -46,6 +46,7 @@ def _retrieve_image_uri(
     tolerate_vulnerable_model: bool = False,
     tolerate_deprecated_model: bool = False,
     sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
+    config_name: Optional[str] = None,
 ):
     """Retrieves the container image URI for JumpStart models.
 
@@ -95,6 +96,7 @@ def _retrieve_image_uri(
             object, used for SageMaker interactions. If not
             specified, one is created using the default AWS configuration
             chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
+        config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
     Returns:
         str: the ECR URI for the corresponding SageMaker Docker image.
 
@@ -116,6 +118,7 @@ def _retrieve_image_uri(
         tolerate_vulnerable_model=tolerate_vulnerable_model,
         tolerate_deprecated_model=tolerate_deprecated_model,
         sagemaker_session=sagemaker_session,
+        config_name=config_name,
     )
 
     if image_scope == JumpStartScriptScope.INFERENCE:
@@ -200,4 +203,5 @@ def _retrieve_image_uri(
         distribution=distribution,
         base_framework_version=base_framework_version_override or base_framework_version,
         training_compiler_config=training_compiler_config,
+        config_name=config_name,
     )
@@ -33,6 +33,7 @@ def _model_supports_incremental_training(
     tolerate_vulnerable_model: bool = False,
     tolerate_deprecated_model: bool = False,
     sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
+    config_name: Optional[str] = None,
 ) -> bool:
     """Returns True if the model supports incremental training.
 
@@ -54,6 +55,7 @@ def _model_supports_incremental_training(
             object, used for SageMaker interactions. If not
             specified, one is created using the default AWS configuration
             chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
+        config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
     Returns:
         bool: the support status for incremental training.
     """
@@ -70,6 +72,7 @@ def _model_supports_incremental_training(
         tolerate_vulnerable_model=tolerate_vulnerable_model,
         tolerate_deprecated_model=tolerate_deprecated_model,
         sagemaker_session=sagemaker_session,
+        config_name=config_name,
     )
 
     return model_specs.supports_incremental_training()
@@ -40,6 +40,7 @@ def _retrieve_default_instance_type(
     sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
     training_instance_type: Optional[str] = None,
     model_type: JumpStartModelType = JumpStartModelType.OPEN_WEIGHTS,
+    config_name: Optional[str] = None,
 ) -> str:
     """Retrieves the default instance type for the model.
 
@@ -68,6 +69,7 @@ def _retrieve_default_instance_type(
             Optionally supply this to get a inference instance type conditioned
             on the training instance, to ensure compatability of training artifact to inference
             instance. (Default: None).
+        config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
     Returns:
         str: the default instance type to use for the model or None.
 
@@ -89,6 +91,7 @@ def _retrieve_default_instance_type(
         tolerate_deprecated_model=tolerate_deprecated_model,
         model_type=model_type,
         sagemaker_session=sagemaker_session,
+        config_name=config_name,
     )
 
     if scope == JumpStartScriptScope.INFERENCE:
@@ -128,6 +131,7 @@ def _retrieve_instance_types(
     tolerate_deprecated_model: bool = False,
     sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
     training_instance_type: Optional[str] = None,
+    config_name: Optional[str] = None,
 ) -> List[str]:
     """Retrieves the supported instance types for the model.
 
@@ -156,6 +160,7 @@ def _retrieve_instance_types(
             Optionally supply this to get a inference instance type conditioned
             on the training instance, to ensure compatability of training artifact to inference
             instance. (Default: None).
+        config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
     Returns:
         list: the supported instance types to use for the model or None.
 
@@ -176,6 +181,7 @@ def _retrieve_instance_types(
         tolerate_vulnerable_model=tolerate_vulnerable_model,
         tolerate_deprecated_model=tolerate_deprecated_model,
         sagemaker_session=sagemaker_session,
+        config_name=config_name,
     )
 
     if scope == JumpStartScriptScope.INFERENCE: