diff --git a/geoengine/ml.py b/geoengine/ml.py
index d9ef6c01..de355300 100644
--- a/geoengine/ml.py
+++ b/geoengine/ml.py
@@ -19,7 +19,6 @@ class MlModelConfig:
     '''Configuration for an ml model'''
     name: str
     metadata: MlModelMetadata
-    file_name: str = "model.onnx"
     display_name: str = "My Ml Model"
     description: str = "My Ml Model Description"
 
@@ -41,7 +40,7 @@ def register_ml_model(onnx_model: ModelProto,
 
     with geoengine_openapi_client.ApiClient(session.configuration) as api_client:
         with tempfile.TemporaryDirectory() as temp_dir:
-            file_name = Path(temp_dir) / model_config.file_name
+            file_name = Path(temp_dir) / model_config.metadata.file_name
 
             with open(file_name, 'wb') as file:
                 file.write(onnx_model.SerializeToString())
@@ -74,12 +73,6 @@ def check_data_type(data_type: TypeProto, expected_type: RasterDataType, prefix:
             raise InputException(f'Model {prefix} type `{elem_type_str}` does not match the '
                                  f'expected type `{expected_type}`')
 
-    for domain in onnx_model.opset_import:
-        if domain.domain != '':
-            continue
-        if domain.version != 9:
-            raise InputException('Only ONNX models with opset version 9 are supported')
-
     model_inputs = onnx_model.graph.input
     model_outputs = onnx_model.graph.output
 
diff --git a/tests/test_ml.py b/tests/test_ml.py
index 88a7865c..5fe03080 100644
--- a/tests/test_ml.py
+++ b/tests/test_ml.py
@@ -23,7 +23,6 @@ def test_uploading_onnx_model(self):
         clf.fit(training_x, training_y)
 
         onnx_clf = to_onnx(clf, training_x[:1], options={'zipmap': False}, target_opset=9)
-        onnx_clf2 = to_onnx(clf, training_x[:1], options={'zipmap': False}, target_opset=12)
 
         with UrllibMocker() as m:
             session_id = "c4983c3e-9b53-47ae-bda9-382223bd5081"
@@ -132,23 +131,3 @@ def test_uploading_onnx_model(self):
                 str(exception.exception),
                 'Model output type `TensorProto.INT64` does not match the expected type `RasterDataType.I32`'
             )
-
-            with self.assertRaises(ge.InputException) as exception:
-                ge.register_ml_model(
-                    onnx_model=onnx_clf2,
-                    model_config=ge.ml.MlModelConfig(
-                        name="foo",
-                        metadata=MlModelMetadata(
-                            file_name="model.onnx",
-                            input_type=RasterDataType.F32,
-                            num_input_bands=2,
-                            output_type=RasterDataType.I64,
-                        ),
-                        display_name="Decision Tree",
-                        description="A simple decision tree model",
-                    )
-                )
-            self.assertEqual(
-                str(exception.exception),
-                'Only ONNX models with opset version 9 are supported'
-            )