diff --git a/timm/models/byobnet.py b/timm/models/byobnet.py
index a368a4b0..105a55b9 100644
--- a/timm/models/byobnet.py
+++ b/timm/models/byobnet.py
@@ -2375,7 +2375,7 @@ default_cfgs = generate_default_cfgs({
         input_size=(3, 224, 224), pool_size=(7, 7),
     ),
     'resnet50_clip_gap.yfcc15m': _cfgr(
-        hf_hub_id='timm/resnet50_clip.cc12m',
+        hf_hub_id='timm/resnet50_clip.yfcc15m',
         hf_hub_filename='open_clip_pytorch_model.bin',
         num_classes=0, mean=OPENAI_CLIP_MEAN, std=OPENAI_CLIP_STD,
         input_size=(3, 224, 224), pool_size=(7, 7),
diff --git a/timm/models/vision_transformer.py b/timm/models/vision_transformer.py
index ba5d1958..8bc09e94 100644
--- a/timm/models/vision_transformer.py
+++ b/timm/models/vision_transformer.py
@@ -1657,50 +1657,42 @@ default_cfgs = {
         crop_pct=1.0, input_size=(3, 378, 378), num_classes=1024),
 
     'vit_base_patch32_clip_224.metaclip_2pt5b': _cfg(
-        hf_hub_id='timm/',
-        hf_hub_filename='open_clip_pytorch_model.bin',
+        hf_hub_id='timm/', hf_hub_filename='open_clip_pytorch_model.bin',
         license='cc-by-nc-4.0',
         notes=('natively QuickGELU, use quickgelu model variant for original results',),
         mean=OPENAI_CLIP_MEAN, std=OPENAI_CLIP_STD, crop_pct=1.0, num_classes=512),
     'vit_base_patch16_clip_224.metaclip_2pt5b': _cfg(
-        hf_hub_id='timm/',
-        hf_hub_filename='open_clip_pytorch_model.bin',
+        hf_hub_id='timm/', hf_hub_filename='open_clip_pytorch_model.bin',
         license='cc-by-nc-4.0',
         notes=('natively QuickGELU, use quickgelu model variant for original results',),
         mean=OPENAI_CLIP_MEAN, std=OPENAI_CLIP_STD, crop_pct=1.0, num_classes=512),
     'vit_large_patch14_clip_224.metaclip_2pt5b': _cfg(
-        hf_hub_id='timm/',
-        hf_hub_filename='open_clip_pytorch_model.bin',
+        hf_hub_id='timm/', hf_hub_filename='open_clip_pytorch_model.bin',
         license='cc-by-nc-4.0',
         notes=('natively QuickGELU, use quickgelu model variant for original results',),
         mean=OPENAI_CLIP_MEAN, std=OPENAI_CLIP_STD, crop_pct=1.0, num_classes=768),
     'vit_huge_patch14_clip_224.metaclip_2pt5b': _cfg(
-        hf_hub_id='timm/',
-        hf_hub_filename='open_clip_pytorch_model.bin',
+        hf_hub_id='timm/', hf_hub_filename='open_clip_pytorch_model.bin',
         license='cc-by-nc-4.0',
         notes=('natively QuickGELU, use quickgelu model variant for original results',),
         mean=OPENAI_CLIP_MEAN, std=OPENAI_CLIP_STD, crop_pct=1.0, num_classes=1024),
     'vit_gigantic_patch14_clip_224.metaclip_2pt5b': _cfg(
-        hf_hub_id='timm/',
-        hf_hub_filename='open_clip_pytorch_model.bin',
+        hf_hub_id='timm/', hf_hub_filename='open_clip_pytorch_model.bin',
         license='cc-by-nc-4.0',
         notes=('natively QuickGELU, use quickgelu model variant for original results',),
         mean=OPENAI_CLIP_MEAN, std=OPENAI_CLIP_STD, crop_pct=1.0, num_classes=1280),
     'vit_base_patch32_clip_224.metaclip_400m': _cfg(
-        hf_hub_id='timm/',
-        hf_hub_filename='open_clip_pytorch_model.bin',
+        hf_hub_id='timm/', hf_hub_filename='open_clip_pytorch_model.bin',
         license='cc-by-nc-4.0',
         notes=('natively QuickGELU, use quickgelu model variant for original results',),
         mean=OPENAI_CLIP_MEAN, std=OPENAI_CLIP_STD, crop_pct=1.0, num_classes=512),
     'vit_base_patch16_clip_224.metaclip_400m': _cfg(
-        hf_hub_id='timm/',
-        hf_hub_filename='open_clip_pytorch_model.bin',
+        hf_hub_id='timm/', hf_hub_filename='open_clip_pytorch_model.bin',
         license='cc-by-nc-4.0',
         notes=('natively QuickGELU, use quickgelu model variant for original results',),
         mean=OPENAI_CLIP_MEAN, std=OPENAI_CLIP_STD, crop_pct=1.0, num_classes=512),
     'vit_large_patch14_clip_224.metaclip_400m': _cfg(
-        hf_hub_id='timm/',
-        hf_hub_filename='open_clip_pytorch_model.bin',
+        hf_hub_id='timm/', hf_hub_filename='open_clip_pytorch_model.bin',
         license='cc-by-nc-4.0',
         notes=('natively QuickGELU, use quickgelu model variant for original results',),
         mean=OPENAI_CLIP_MEAN, std=OPENAI_CLIP_STD, crop_pct=1.0, num_classes=768),