diff --git a/mlflow/models/model.py b/mlflow/models/model.py
index 8d3446195cc4d..6ab542b2acddf 100644
--- a/mlflow/models/model.py
+++ b/mlflow/models/model.py
@@ -285,10 +285,8 @@ def __init__(
         **kwargs,
     ):
         # store model id instead of run_id and path to avoid confusion when model gets exported
-        if run_id:
-            self.run_id = run_id
-            self.artifact_path = artifact_path
-
+        self.run_id = run_id
+        self.artifact_path = artifact_path
         self.utc_time_created = str(utc_time_created or datetime.utcnow())
         self.flavors = flavors if flavors is not None else {}
         self.signature = signature
diff --git a/tests/models/test_model.py b/tests/models/test_model.py
index 13a82eacbf10f..6e4330532c1e5 100644
--- a/tests/models/test_model.py
+++ b/tests/models/test_model.py
@@ -479,3 +479,10 @@ def predict(self, context, model_input, params=None):
     assert loaded_model.saved_input_example_info["type"] == "json_object"
     loaded_example = loaded_model.load_input_example(local_path)
     assert loaded_example == input_example
+
+
+def test_model_saved_by_save_model_can_be_loaded(tmp_path, sklearn_knn_model):
+    mlflow.sklearn.save_model(sklearn_knn_model, tmp_path)
+    info = Model.load(tmp_path).get_model_info()
+    assert info.run_id is None
+    assert info.artifact_path is None