diff --git a/timm/models/vision_transformer.py b/timm/models/vision_transformer.py
index 9a9c28e37..d328338e1 100644
--- a/timm/models/vision_transformer.py
+++ b/timm/models/vision_transformer.py
@@ -3499,18 +3499,6 @@ def vit_so400m_patch14_siglip_gap_224(pretrained: bool = False, **kwargs) -> Vis
     return model
 
 
-@register_model
-def vit_so400m_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
-    """ A SigLIP variant of ViT with global average pooling (GAP) instead of attention pooling (MAP)."""
-    model_args = dict(
-        patch_size=16, embed_dim=1152, depth=27, num_heads=16, mlp_ratio=3.7362,
-        class_token=False, global_pool='avg', fc_norm=False,
-    )
-    model = _create_vision_transformer(
-        'vit_so400m_patch16_siglip_gap_256', pretrained=pretrained, **dict(model_args, **kwargs))
-    return model
-
-
 @register_model
 def vit_so400m_patch14_siglip_gap_378(pretrained: bool = False, **kwargs) -> VisionTransformer:
     """ A SigLIP variant of ViT with global average pooling (GAP) instead of attention pooling (MAP)."""
@@ -3561,9 +3549,10 @@ def vit_so400m_patch14_siglip_gap_896(pretrained: bool = False, **kwargs) -> Vis
 
 @register_model
 def vit_so400m_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
+    """ A SigLIP variant of ViT with global average pooling (GAP) instead of attention pooling (MAP)."""
     model_args = dict(
-        patch_size=16, embed_dim=1152, depth=27, num_heads=16, mlp_ratio=3.7362, class_token=False,
-        global_pool='avg', fc_norm=False, act_layer='gelu_tanh'
+        patch_size=16, embed_dim=1152, depth=27, num_heads=16, mlp_ratio=3.7362,
+        class_token=False, global_pool='avg', fc_norm=False, act_layer='gelu_tanh',
     )
     model = _create_vision_transformer(
         'vit_so400m_patch16_siglip_gap_256', pretrained=pretrained, **dict(model_args, **kwargs))