diff --git a/tests/test_models.py b/tests/test_models.py
index 52a8023a..0a770784 100644
--- a/tests/test_models.py
+++ b/tests/test_models.py
@@ -173,7 +173,7 @@ def test_model_default_cfgs_non_std(model_name, batch_size):
     state_dict = model.state_dict()
     cfg = model.default_cfg
 
-    input_size = _get_input_size(model_name=model_name, target=TARGET_FWD_SIZE)
+    input_size = _get_input_size(model=model)
     if max(input_size) > 320:  # FIXME const
         pytest.skip("Fixed input size model > limit.")
 
diff --git a/timm/models/vision_transformer_hybrid.py b/timm/models/vision_transformer_hybrid.py
index 30330d39..5d725c58 100644
--- a/timm/models/vision_transformer_hybrid.py
+++ b/timm/models/vision_transformer_hybrid.py
@@ -236,6 +236,12 @@ def vit_base_r50_s16_384(pretrained=False, **kwargs):
     return model
 
 
+@register_model
+def vit_base_resnet50_384(pretrained=False, **kwargs):
+    # DEPRECATED this is forwarding to model def above for backwards compatibility
+    return vit_base_r50_s16_384(pretrained=pretrained, **kwargs)
+
+
 @register_model
 def vit_large_r50_s32_224(pretrained=False, **kwargs):
     """ R50+ViT-L/S32 hybrid.
@@ -292,6 +298,12 @@ def vit_base_r50_s16_224_in21k(pretrained=False, **kwargs):
     return model
 
 
+@register_model
+def vit_base_resnet50_224_in21k(pretrained=False, **kwargs):
+    # DEPRECATED this is forwarding to model def above for backwards compatibility
+    return vit_base_r50_s16_224_in21k(pretrained=pretrained, **kwargs)
+
+
 @register_model
 def vit_large_r50_s32_224_in21k(pretrained=False, **kwargs):
     """ R50+ViT-L/S32 hybrid. ImageNet-21k.