diff --git a/timm/models/_hub.py b/timm/models/_hub.py
index 00d3d750da..e4c603ff8c 100644
--- a/timm/models/_hub.py
+++ b/timm/models/_hub.py
@@ -30,8 +30,8 @@
 from timm.models._pretrained import filter_pretrained_cfg
 
 try:
-    from huggingface_hub import HfApi, hf_hub_download
-    from huggingface_hub.utils import EntryNotFoundError
+    from huggingface_hub import HfApi, hf_hub_download, model_info
+    from huggingface_hub.utils import EntryNotFoundError, RepositoryNotFoundError
     hf_hub_download = partial(hf_hub_download, library_name="timm", library_version=__version__)
     _has_hf_hub = True
 except ImportError:
@@ -533,3 +533,56 @@ def _get_safe_alternatives(filename: str) -> Iterable[str]:
         yield HF_OPEN_CLIP_SAFE_WEIGHTS_NAME
     if filename not in (HF_WEIGHTS_NAME, HF_OPEN_CLIP_WEIGHTS_NAME) and filename.endswith(".bin"):
         yield filename[:-4] + ".safetensors"
+
+
+def _get_license_from_hf_hub(model_id: str | None, hf_hub_id: str | None) -> str | None:
+    """Retrieve license information for a model from Hugging Face Hub.
+
+    Fetches the license field from the model card metadata on Hugging Face Hub
+    for the specified model. Returns None if the model is not found, if
+    huggingface_hub is not installed, or if the model is marked as "untrained".
+
+    Args:
+        model_id: The model identifier/name. In the case of None we assume an untrained model.
+        hf_hub_id: The Hugging Face Hub organization/user ID. If it is None,
+            we will return None as we cannot infer the license terms.
+
+    Returns:
+        The license string in lowercase if found, None otherwise.
+
+    Note:
+        Requires huggingface_hub package to be installed. Will log a warning
+        and return None if the package is not available.
+    """
+    if not has_hf_hub(True):
+        msg = "For updated license information run `pip install huggingface_hub`."
+        _logger.warning(msg=msg)
+        return None
+
+    if not (model_id and hf_hub_id):
+        return None
+
+    repo_id: str = hf_hub_id + model_id
+
+    try:
+        info = model_info(repo_id=repo_id)
+
+    except RepositoryNotFoundError:
+        msg = f"Repository {repo_id} was not found. Manual inspection of license needed."
+        _logger.warning(msg=msg)
+        return None
+
+    except Exception as _:
+        msg = f"Error for {repo_id}. Manual inspection of license needed."
+        _logger.warning(msg=msg)
+        return None
+
+    license = info.card_data.get("license").lower() if info.card_data else None
+
+    if license == 'other':
+        name = info.card_data.get("license_name", None)
+
+        if name is not None:
+            return name
+
+    return license
diff --git a/timm/models/beit.py b/timm/models/beit.py
index 6c241edf35..baf4d11725 100644
--- a/timm/models/beit.py
+++ b/timm/models/beit.py
@@ -773,6 +773,7 @@ def _cfg(url: str = '', **kwargs) -> Dict[str, Any]:
         'crop_pct': .9, 'interpolation': 'bicubic', 'fixed_input_size': True,
         'mean': (0.5, 0.5, 0.5), 'std': (0.5, 0.5, 0.5),
         'first_conv': 'patch_embed.proj', 'classifier': 'head',
+        'license': 'apache-2.0',
         **kwargs
     }
 
diff --git a/timm/models/byoanet.py b/timm/models/byoanet.py
index f5af4fd113..3f79211534 100644
--- a/timm/models/byoanet.py
+++ b/timm/models/byoanet.py
@@ -297,7 +297,7 @@ def _cfg(url: str = '', **kwargs) -> Dict[str, Any]:
         'crop_pct': 0.95, 'interpolation': 'bicubic',
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
         'first_conv': 'stem.conv1.conv', 'classifier': 'head.fc',
-        'fixed_input_size': False, 'min_input_size': (3, 224, 224),
+        'fixed_input_size': False, 'min_input_size': (3, 224, 224), 'license': 'apache-2.0',
         **kwargs
     }
 
diff --git a/timm/models/byobnet.py b/timm/models/byobnet.py
index 60a443d3d8..0e33aabcfd 100644
--- a/timm/models/byobnet.py
+++ b/timm/models/byobnet.py
@@ -2432,6 +2432,7 @@ def _cfg(url: str = '', **kwargs) -> Dict[str, Any]:
         'crop_pct': 0.875, 'interpolation': 'bilinear',
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
         'first_conv': 'stem.conv', 'classifier': 'head.fc',
+        'license': 'apache-2.0',
         **kwargs
     }
 
@@ -2451,6 +2452,7 @@ def _cfgr(url: str = '', **kwargs) -> Dict[str, Any]:
         'crop_pct': 0.9, 'interpolation': 'bicubic',
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
         'first_conv': 'stem.conv1.conv', 'classifier': 'head.fc',
+        'license': 'apache-2.0',
         **kwargs
     }
 
@@ -2604,26 +2606,31 @@ def _cfgr(url: str = '', **kwargs) -> Dict[str, Any]:
         hf_hub_id='timm/',
         crop_pct=0.875,
         first_conv=('stem.conv_kxk.0.conv', 'stem.conv_scale.conv'),
+        license='mobileone-license',
     ),
     'mobileone_s1.apple_in1k': _cfg(
         hf_hub_id='timm/',
         crop_pct=0.9,
         first_conv=('stem.conv_kxk.0.conv', 'stem.conv_scale.conv'),
+        license='mobileone-license',
     ),
     'mobileone_s2.apple_in1k': _cfg(
         hf_hub_id='timm/',
         crop_pct=0.9,
         first_conv=('stem.conv_kxk.0.conv', 'stem.conv_scale.conv'),
+        license='mobileone-license',
     ),
     'mobileone_s3.apple_in1k': _cfg(
         hf_hub_id='timm/',
         crop_pct=0.9,
         first_conv=('stem.conv_kxk.0.conv', 'stem.conv_scale.conv'),
+        license='mobileone-license',
     ),
     'mobileone_s4.apple_in1k': _cfg(
         hf_hub_id='timm/',
         crop_pct=0.9,
         first_conv=('stem.conv_kxk.0.conv', 'stem.conv_scale.conv'),
+        license='mobileone-license',
     ),
 
     # original attention pool head variants
@@ -2632,48 +2639,56 @@ def _cfgr(url: str = '', **kwargs) -> Dict[str, Any]:
         num_classes=1024, mean=OPENAI_CLIP_MEAN, std=OPENAI_CLIP_STD,
         fixed_input_size=True, input_size=(3, 224, 224), pool_size=(7, 7),
         classifier='head.proj',
+        license='mit',
     ),
     'resnet101_clip.openai': _cfgr(
         hf_hub_id='timm/',
         num_classes=512, mean=OPENAI_CLIP_MEAN, std=OPENAI_CLIP_STD,
         fixed_input_size=True, input_size=(3, 224, 224), pool_size=(7, 7),
         classifier='head.proj',
+        license='mit',
     ),
     'resnet50x4_clip.openai': _cfgr(
         hf_hub_id='timm/',
         num_classes=640, mean=OPENAI_CLIP_MEAN, std=OPENAI_CLIP_STD,
         fixed_input_size=True, input_size=(3, 288, 288), pool_size=(9, 9),
         classifier='head.proj',
+        license='mit',
     ),
     'resnet50x16_clip.openai': _cfgr(
         hf_hub_id='timm/',
         num_classes=768, mean=OPENAI_CLIP_MEAN, std=OPENAI_CLIP_STD,
         fixed_input_size=True, input_size=(3, 384, 384), pool_size=(12, 12),
         classifier='head.proj',
+        license='mit',
     ),
     'resnet50x64_clip.openai': _cfgr(
         hf_hub_id='timm/',
         num_classes=1024, mean=OPENAI_CLIP_MEAN, std=OPENAI_CLIP_STD,
         fixed_input_size=True, input_size=(3, 448, 448), pool_size=(14, 14),
         classifier='head.proj',
+        license='mit',
     ),
     'resnet50_clip.cc12m': _cfgr(
         hf_hub_id='timm/',
         num_classes=1024, mean=OPENAI_CLIP_MEAN, std=OPENAI_CLIP_STD,
         fixed_input_size=True, input_size=(3, 224, 224), pool_size=(7, 7),
         classifier='head.proj',
+        license='mit',
     ),
     'resnet50_clip.yfcc15m': _cfgr(
         hf_hub_id='timm/',
         num_classes=1024, mean=OPENAI_CLIP_MEAN, std=OPENAI_CLIP_STD,
         fixed_input_size=True, input_size=(3, 224, 224), pool_size=(7, 7),
         classifier='head.proj',
+        license='mit',
     ),
     'resnet101_clip.yfcc15m': _cfgr(
         hf_hub_id='timm/',
         num_classes=512, mean=OPENAI_CLIP_MEAN, std=OPENAI_CLIP_STD,
         fixed_input_size=True, input_size=(3, 224, 224), pool_size=(7, 7),
         classifier='head.proj',
+        license='mit',
     ),
 
     # avg-pool w/ optional standard classifier head variants
@@ -2681,41 +2696,49 @@ def _cfgr(url: str = '', **kwargs) -> Dict[str, Any]:
         hf_hub_id='timm/',
         num_classes=0, mean=OPENAI_CLIP_MEAN, std=OPENAI_CLIP_STD,
         input_size=(3, 224, 224), pool_size=(7, 7),
+        license='mit',
     ),
     'resnet101_clip_gap.openai': _cfgr(
         hf_hub_id='timm/',
         num_classes=0, mean=OPENAI_CLIP_MEAN, std=OPENAI_CLIP_STD,
         input_size=(3, 224, 224), pool_size=(7, 7),
+        license='mit',
     ),
     'resnet50x4_clip_gap.openai': _cfgr(
         hf_hub_id='timm/',
         num_classes=0, mean=OPENAI_CLIP_MEAN, std=OPENAI_CLIP_STD,
         input_size=(3, 288, 288), pool_size=(9, 9),
+        license='mit',
     ),
     'resnet50x16_clip_gap.openai': _cfgr(
         hf_hub_id='timm/',
         num_classes=0, mean=OPENAI_CLIP_MEAN, std=OPENAI_CLIP_STD,
         input_size=(3, 384, 384), pool_size=(12, 12),
+        license='mit',
     ),
     'resnet50x64_clip_gap.openai': _cfgr(
         hf_hub_id='timm/',
         num_classes=0, mean=OPENAI_CLIP_MEAN, std=OPENAI_CLIP_STD,
         input_size=(3, 448, 448), pool_size=(14, 14),
+        license='mit',
     ),
     'resnet50_clip_gap.cc12m': _cfgr(
         hf_hub_id='timm/',
         num_classes=0, mean=OPENAI_CLIP_MEAN, std=OPENAI_CLIP_STD,
         input_size=(3, 224, 224), pool_size=(7, 7),
+        license='mit',
     ),
     'resnet50_clip_gap.yfcc15m': _cfgr(
         hf_hub_id='timm/',
         num_classes=0, mean=OPENAI_CLIP_MEAN, std=OPENAI_CLIP_STD,
         input_size=(3, 224, 224), pool_size=(7, 7),
+        license='mit',
     ),
     'resnet101_clip_gap.yfcc15m': _cfgr(
         hf_hub_id='timm/',
         num_classes=0, mean=OPENAI_CLIP_MEAN, std=OPENAI_CLIP_STD,
         input_size=(3, 224, 224), pool_size=(7, 7),
+        license='mit',
     ),
 
     'resnet50_mlp.untrained': _cfgr(
diff --git a/timm/models/cait.py b/timm/models/cait.py
index b484ef4d8c..315ab98931 100644
--- a/timm/models/cait.py
+++ b/timm/models/cait.py
@@ -508,6 +508,7 @@ def _cfg(url='', **kwargs):
         'crop_pct': 1.0, 'interpolation': 'bicubic', 'fixed_input_size': True,
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
         'first_conv': 'patch_embed.proj', 'classifier': 'head',
+        'license': 'apache-2.0',
         **kwargs
     }
 
diff --git a/timm/models/coat.py b/timm/models/coat.py
index 770cf18fb7..f239c31ea7 100644
--- a/timm/models/coat.py
+++ b/timm/models/coat.py
@@ -759,6 +759,7 @@ def _cfg_coat(url='', **kwargs):
         'crop_pct': .9, 'interpolation': 'bicubic', 'fixed_input_size': True,
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
         'first_conv': 'patch_embed1.proj', 'classifier': 'head',
+        'license': 'apache-2.0',
         **kwargs
     }
 
@@ -839,4 +840,4 @@ def coat_lite_medium_384(pretrained=False, **kwargs) -> CoaT:
     model_cfg = dict(
         img_size=384, patch_size=4, embed_dims=[128, 256, 320, 512], serial_depths=[3, 6, 10, 8])
     model = _create_coat('coat_lite_medium_384', pretrained=pretrained, **dict(model_cfg, **kwargs))
-    return model
\ No newline at end of file
+    return model
diff --git a/timm/models/convit.py b/timm/models/convit.py
index ece9ad0895..272649c656 100644
--- a/timm/models/convit.py
+++ b/timm/models/convit.py
@@ -420,7 +420,7 @@ def _cfg(url='', **kwargs):
         'url': url,
         'num_classes': 1000, 'input_size': (3, 224, 224), 'pool_size': None,
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD, 'fixed_input_size': True,
-        'first_conv': 'patch_embed.proj', 'classifier': 'head',
+        'first_conv': 'patch_embed.proj', 'classifier': 'head', 'license': 'apache-2.0',
         **kwargs
     }
 
diff --git a/timm/models/convmixer.py b/timm/models/convmixer.py
index 55978f67f8..bad04bd154 100644
--- a/timm/models/convmixer.py
+++ b/timm/models/convmixer.py
@@ -118,7 +118,7 @@ def _cfg(url='', **kwargs):
         'num_classes': 1000, 'input_size': (3, 224, 224), 'pool_size': None,
         'crop_pct': .96, 'interpolation': 'bicubic',
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD, 'classifier': 'head',
-        'first_conv': 'stem.0',
+        'first_conv': 'stem.0', 'license': 'mit',
         **kwargs
     }
 
@@ -146,4 +146,4 @@ def convmixer_768_32(pretrained=False, **kwargs) -> ConvMixer:
 @register_model
 def convmixer_1024_20_ks9_p14(pretrained=False, **kwargs) -> ConvMixer:
     model_args = dict(dim=1024, depth=20, kernel_size=9, patch_size=14, **kwargs)
-    return _create_convmixer('convmixer_1024_20_ks9_p14', pretrained, **model_args)
\ No newline at end of file
+    return _create_convmixer('convmixer_1024_20_ks9_p14', pretrained, **model_args)
diff --git a/timm/models/convnext.py b/timm/models/convnext.py
index c801f7c887..93d8ce769b 100644
--- a/timm/models/convnext.py
+++ b/timm/models/convnext.py
@@ -711,7 +711,7 @@ def _cfg(url='', **kwargs):
         'crop_pct': 0.875, 'interpolation': 'bicubic',
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
         'first_conv': 'stem.0', 'classifier': 'head.fc',
-        **kwargs
+        'license': 'apache-2.0', **kwargs
     }
 
 
@@ -1113,25 +1113,25 @@ def _cfgv2(url='', **kwargs):
         hf_hub_id='timm/',
         crop_pct=1.0,
         num_classes=0,
-        license='dinov3',
+        license='dinov3-license',
     ),
     'convnext_small.dinov3_lvd1689m': _cfg(
         hf_hub_id='timm/',
         crop_pct=1.0,
         num_classes=0,
-        license='dinov3',
+        license='dinov3-license',
     ),
     'convnext_base.dinov3_lvd1689m': _cfg(
         hf_hub_id='timm/',
         crop_pct=1.0,
         num_classes=0,
-        license='dinov3',
+        license='dinov3-license',
     ),
     'convnext_large.dinov3_lvd1689m': _cfg(
         hf_hub_id='timm/',
         crop_pct=1.0,
         num_classes=0,
-        license='dinov3',
+        license='dinov3-license',
     ),
 
     "test_convnext.r160_in1k": _cfg(
diff --git a/timm/models/crossvit.py b/timm/models/crossvit.py
index a19489b358..a0cb5c4d20 100644
--- a/timm/models/crossvit.py
+++ b/timm/models/crossvit.py
@@ -519,6 +519,7 @@ def _cfg(url='', **kwargs):
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD, 'fixed_input_size': True,
         'first_conv': ('patch_embed.0.proj', 'patch_embed.1.proj'),
         'classifier': ('head.0', 'head.1'),
+        'license': 'apache-2.0',
         **kwargs
     }
 
diff --git a/timm/models/cspnet.py b/timm/models/cspnet.py
index 6de3b354ee..5cf7fff03d 100644
--- a/timm/models/cspnet.py
+++ b/timm/models/cspnet.py
@@ -1010,7 +1010,7 @@ def _cfg(url='', **kwargs):
         'num_classes': 1000, 'input_size': (3, 256, 256), 'pool_size': (8, 8),
         'crop_pct': 0.887, 'interpolation': 'bilinear',
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
-        'first_conv': 'stem.conv1.conv', 'classifier': 'head.fc',
+        'first_conv': 'stem.conv1.conv', 'classifier': 'head.fc', 'license': 'apache-2.0',
         **kwargs
     }
 
@@ -1204,4 +1204,4 @@ def cs3edgenet_x(pretrained=False, **kwargs) -> CspNet:
 
 @register_model
 def cs3se_edgenet_x(pretrained=False, **kwargs) -> CspNet:
-    return _create_cspnet('cs3se_edgenet_x', pretrained=pretrained, **kwargs)
\ No newline at end of file
+    return _create_cspnet('cs3se_edgenet_x', pretrained=pretrained, **kwargs)
diff --git a/timm/models/davit.py b/timm/models/davit.py
index f030a43a07..4608b2365d 100644
--- a/timm/models/davit.py
+++ b/timm/models/davit.py
@@ -870,6 +870,7 @@ def _cfg(url='', **kwargs):
         'crop_pct': 0.95, 'interpolation': 'bicubic',
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
         'first_conv': 'stem.conv', 'classifier': 'head.fc',
+        'license': 'apache-2.0',
         **kwargs
     }
 
diff --git a/timm/models/deit.py b/timm/models/deit.py
index ed8a6dec1d..237c59546c 100644
--- a/timm/models/deit.py
+++ b/timm/models/deit.py
@@ -141,6 +141,7 @@ def _cfg(url='', **kwargs):
         'crop_pct': .9, 'interpolation': 'bicubic', 'fixed_input_size': True,
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
         'first_conv': 'patch_embed.proj', 'classifier': 'head',
+        'license': 'apache-2.0',
         **kwargs
     }
 
diff --git a/timm/models/densenet.py b/timm/models/densenet.py
index a09da46d23..b87b6a1f74 100644
--- a/timm/models/densenet.py
+++ b/timm/models/densenet.py
@@ -488,7 +488,8 @@ def _cfg(url: str = '', **kwargs) -> Dict[str, Any]:
         'url': url, 'num_classes': 1000, 'input_size': (3, 224, 224), 'pool_size': (7, 7),
         'crop_pct': 0.875, 'interpolation': 'bicubic',
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
-        'first_conv': 'features.conv0', 'classifier': 'classifier', **kwargs,
+        'first_conv': 'features.conv0', 'classifier': 'classifier', 'license': 'apache-2.0',
+        **kwargs,
     }
 
 
diff --git a/timm/models/dla.py b/timm/models/dla.py
index 2763686dbf..0cc15fae15 100644
--- a/timm/models/dla.py
+++ b/timm/models/dla.py
@@ -492,7 +492,7 @@ def _cfg(url='', **kwargs):
         'num_classes': 1000, 'input_size': (3, 224, 224), 'pool_size': (7, 7),
         'crop_pct': 0.875, 'interpolation': 'bilinear',
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
-        'first_conv': 'base_layer.0', 'classifier': 'fc',
+        'first_conv': 'base_layer.0', 'classifier': 'fc', 'license': 'bsd-3-clause',
         **kwargs
     }
 
@@ -508,8 +508,8 @@ def _cfg(url='', **kwargs):
     'dla102x.in1k': _cfg(hf_hub_id='timm/'),
     'dla102x2.in1k': _cfg(hf_hub_id='timm/'),
     'dla169.in1k': _cfg(hf_hub_id='timm/'),
-    'dla60_res2net.in1k': _cfg(hf_hub_id='timm/'),
-    'dla60_res2next.in1k': _cfg(hf_hub_id='timm/'),
+    'dla60_res2net.in1k': _cfg(hf_hub_id='timm/', license='unknown'),
+    'dla60_res2next.in1k': _cfg(hf_hub_id='timm/', license='unknown'),
 })
 
 
diff --git a/timm/models/dpn.py b/timm/models/dpn.py
index 759658b75d..9e64f113a3 100644
--- a/timm/models/dpn.py
+++ b/timm/models/dpn.py
@@ -330,7 +330,7 @@ def _cfg(url='', **kwargs):
         'url': url, 'num_classes': 1000, 'input_size': (3, 224, 224), 'pool_size': (7, 7),
         'crop_pct': 0.875, 'interpolation': 'bicubic',
         'mean': IMAGENET_DPN_MEAN, 'std': IMAGENET_DPN_STD,
-        'first_conv': 'features.conv1_1.conv', 'classifier': 'classifier',
+        'first_conv': 'features.conv1_1.conv', 'classifier': 'classifier', 'license': 'apache-2.0',
         **kwargs
     }
 
diff --git a/timm/models/edgenext.py b/timm/models/edgenext.py
index a83ea6ddf4..bc4e6724c0 100644
--- a/timm/models/edgenext.py
+++ b/timm/models/edgenext.py
@@ -621,6 +621,7 @@ def _cfg(url='', **kwargs):
         'crop_pct': 0.9, 'interpolation': 'bicubic',
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
         'first_conv': 'stem.0', 'classifier': 'head.fc',
+        'license': 'mit',
         **kwargs
     }
 
diff --git a/timm/models/efficientformer.py b/timm/models/efficientformer.py
index 7e140da581..622592e4da 100644
--- a/timm/models/efficientformer.py
+++ b/timm/models/efficientformer.py
@@ -625,6 +625,7 @@ def _cfg(url='', **kwargs):
         'crop_pct': .95, 'interpolation': 'bicubic',
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
         'first_conv': 'stem.conv1', 'classifier': ('head', 'head_dist'),
+        'license': 'apache-2.0',
         **kwargs
     }
 
diff --git a/timm/models/efficientformer_v2.py b/timm/models/efficientformer_v2.py
index 92fbdaf14a..4e621d95df 100644
--- a/timm/models/efficientformer_v2.py
+++ b/timm/models/efficientformer_v2.py
@@ -806,6 +806,7 @@ def _cfg(url='', **kwargs):
         'crop_pct': .95, 'interpolation': 'bicubic',
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
         'classifier': ('head', 'head_dist'), 'first_conv': 'stem.conv1.conv',
+        'license': 'apache-2.0',
         **kwargs
     }
 
diff --git a/timm/models/efficientnet.py b/timm/models/efficientnet.py
index edc568335e..e48e284fbe 100644
--- a/timm/models/efficientnet.py
+++ b/timm/models/efficientnet.py
@@ -1324,7 +1324,7 @@ def _cfg(url='', **kwargs):
         'crop_pct': 0.875, 'interpolation': 'bicubic',
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
         'first_conv': 'conv_stem', 'classifier': 'classifier',
-        **kwargs
+        'license': 'apache-2.0', **kwargs
     }
 
 
diff --git a/timm/models/efficientvit_mit.py b/timm/models/efficientvit_mit.py
index 3cae78d897..05a9f50970 100644
--- a/timm/models/efficientvit_mit.py
+++ b/timm/models/efficientvit_mit.py
@@ -1083,6 +1083,7 @@ def _cfg(url='', **kwargs):
         'first_conv': 'stem.in_conv.conv',
         'classifier': 'head.classifier.4',
         'crop_pct': 0.95,
+        'license': 'apache-2.0',
         'input_size': (3, 224, 224),
         'pool_size': (7, 7),
         **kwargs,
diff --git a/timm/models/efficientvit_msra.py b/timm/models/efficientvit_msra.py
index 497e984726..a445d680fd 100644
--- a/timm/models/efficientvit_msra.py
+++ b/timm/models/efficientvit_msra.py
@@ -672,6 +672,7 @@ def _cfg(url='', **kwargs):
         'classifier': 'head.linear',
         'fixed_input_size': True,
         'pool_size': (4, 4),
+        'license': 'mit',
         **kwargs,
     }
 
diff --git a/timm/models/eva.py b/timm/models/eva.py
index 117a76b5c1..761fee7644 100644
--- a/timm/models/eva.py
+++ b/timm/models/eva.py
@@ -1285,7 +1285,7 @@ def _pe_cfg(url: str = '', **kwargs) -> Dict[str, Any]:
         'crop_pct': 1.0, 'interpolation': 'bicubic', 'fixed_input_size': True,
         'mean': (0.5, 0.5, 0.5), 'std': (0.5, 0.5, 0.5),
         'first_conv': 'patch_embed.proj', 'classifier': 'head',
-        'license': 'custom', **kwargs
+        'license': 'apache-2.0', **kwargs
     }
 
 
@@ -1305,7 +1305,7 @@ def _dinov3_cfg(url: str = '', **kwargs) -> Dict[str, Any]:
         'crop_pct': 1.0, 'interpolation': 'bicubic', 'fixed_input_size': True,
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
         'first_conv': 'patch_embed.proj', 'classifier': 'head',
-        'license': 'dinov3', **kwargs
+        'license': 'dinov3-license', **kwargs
     }
 
 default_cfgs = generate_default_cfgs({
@@ -2567,7 +2567,7 @@ def vit_large_patch16_rope_ape_224(pretrained: bool = False, **kwargs) -> Eva:
         rope_grid_indexing='xy',
         rope_temperature=100.0,
     )
-    
+
     model = _create_eva('vit_large_patch16_rope_ape_224', pretrained=pretrained, **dict(model_args, **kwargs))
     return model
 
diff --git a/timm/models/fasternet.py b/timm/models/fasternet.py
index f956f70ac4..0d3e117219 100644
--- a/timm/models/fasternet.py
+++ b/timm/models/fasternet.py
@@ -426,6 +426,7 @@ def _cfg(url: str = '', **kwargs: Any) -> Dict[str, Any]:
         'paper_ids': 'arXiv:2303.03667',
         'paper_name': "Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks",
         'origin_url': 'https://github.com/JierunChen/FasterNet',
+        'license': 'apache-2.0',
         **kwargs
     }
 
diff --git a/timm/models/fastvit.py b/timm/models/fastvit.py
index bef5ec8b61..61dbd04c49 100644
--- a/timm/models/fastvit.py
+++ b/timm/models/fastvit.py
@@ -1431,6 +1431,7 @@ def _cfg(url="", **kwargs):
         "crop_pct": 0.9,
         "interpolation": "bicubic",
         "mean": IMAGENET_DEFAULT_MEAN,
+        "license": "fastvit-license",
         "std": IMAGENET_DEFAULT_STD,
         'first_conv': ('stem.0.conv_kxk.0.conv', 'stem.0.conv_scale.conv'),
         "classifier": "head.fc",
@@ -1481,21 +1482,21 @@ def _cfg(url="", **kwargs):
         url='https://docs-assets.developer.apple.com/ml-research/datasets/mobileclip/mobileclip_s0.pt',
         crop_pct=0.95,
         num_classes=512,  # CLIP proj dim
-        mean=(0., 0., 0.), std=(1., 1., 1.)
+        mean=(0., 0., 0.), std=(1., 1., 1.), license='apple-amlr'
     ),
     "fastvit_mci1.apple_mclip": _cfg(
         hf_hub_id='apple/mobileclip_s1_timm',
         url='https://docs-assets.developer.apple.com/ml-research/datasets/mobileclip/mobileclip_s1.pt',
         crop_pct=0.95,
         num_classes=512,  # CLIP proj dim
-        mean=(0., 0., 0.), std=(1., 1., 1.)
+        mean=(0., 0., 0.), std=(1., 1., 1.), license='apple-amlr'
     ),
     "fastvit_mci2.apple_mclip": _cfg(
         hf_hub_id='apple/mobileclip_s2_timm',
         url='https://docs-assets.developer.apple.com/ml-research/datasets/mobileclip/mobileclip_s2.pt',
         crop_pct=0.95,
         num_classes=512,  # CLIP proj dim
-        mean=(0., 0., 0.), std=(1., 1., 1.)
+        mean=(0., 0., 0.), std=(1., 1., 1.), license='apple-amlr'
     ),
 
     "fastvit_mci0.apple_mclip2_dfndr2b": _cfg(
@@ -1803,4 +1804,4 @@ def fastvit_mci4(pretrained=False, **kwargs):
     )
 
     model = _create_fastvit('fastvit_mci4', pretrained=pretrained, **dict(model_args, **kwargs))
-    return model
\ No newline at end of file
+    return model
diff --git a/timm/models/gcvit.py b/timm/models/gcvit.py
index 2533ed949c..1fadffec0d 100644
--- a/timm/models/gcvit.py
+++ b/timm/models/gcvit.py
@@ -615,6 +615,7 @@ def _cfg(url='', **kwargs):
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
         'first_conv': 'stem.conv1', 'classifier': 'head.fc',
         'fixed_input_size': True,
+        'license': 'apache-2.0',
         **kwargs
     }
 
diff --git a/timm/models/ghostnet.py b/timm/models/ghostnet.py
index 53d988ac96..eb2e9d5806 100644
--- a/timm/models/ghostnet.py
+++ b/timm/models/ghostnet.py
@@ -911,6 +911,7 @@ def _cfg(url='', **kwargs):
         'crop_pct': 0.875, 'interpolation': 'bicubic',
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
         'first_conv': 'conv_stem', 'classifier': 'classifier',
+        'license': 'apache-2.0',
         **kwargs
     }
 
diff --git a/timm/models/hardcorenas.py b/timm/models/hardcorenas.py
index 459c1a3db8..491f7c0367 100644
--- a/timm/models/hardcorenas.py
+++ b/timm/models/hardcorenas.py
@@ -58,6 +58,7 @@ def _cfg(url='', **kwargs):
         'crop_pct': 0.875, 'interpolation': 'bilinear',
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
         'first_conv': 'conv_stem', 'classifier': 'classifier',
+        'license': 'apache-2.0',
         **kwargs
     }
 
diff --git a/timm/models/hgnet.py b/timm/models/hgnet.py
index 927b2c4dc6..dadda65340 100644
--- a/timm/models/hgnet.py
+++ b/timm/models/hgnet.py
@@ -749,6 +749,7 @@ def _cfg(url='', **kwargs):
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
         'classifier': 'head.fc', 'first_conv': 'stem.stem1.conv',
         'test_crop_pct': 1.0, 'test_input_size': (3, 288, 288),
+        'license': 'apache-2.0',
         **kwargs,
     }
 
diff --git a/timm/models/hiera.py b/timm/models/hiera.py
index 81342a2fef..b078719e10 100644
--- a/timm/models/hiera.py
+++ b/timm/models/hiera.py
@@ -844,6 +844,7 @@ def _cfg(url='', **kwargs):
         'crop_pct': .9, 'interpolation': 'bicubic', 'fixed_input_size': True,
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
         'first_conv': 'patch_embed.proj', 'classifier': 'head.fc',
+        'license': 'apache-2.0',
         **kwargs
     }
 
diff --git a/timm/models/hieradet_sam2.py b/timm/models/hieradet_sam2.py
index 33bdcbf994..269aafb2fc 100644
--- a/timm/models/hieradet_sam2.py
+++ b/timm/models/hieradet_sam2.py
@@ -567,6 +567,7 @@ def _cfg(url='', **kwargs):
         'crop_pct': 1.0, 'interpolation': 'bicubic', 'min_input_size': (3, 224, 224),
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
         'first_conv': 'patch_embed.proj', 'classifier': 'head.fc',
+        'license': 'apache-2.0',
         **kwargs
     }
 
diff --git a/timm/models/hrnet.py b/timm/models/hrnet.py
index 0a7734cd94..89cc2eeaec 100644
--- a/timm/models/hrnet.py
+++ b/timm/models/hrnet.py
@@ -928,14 +928,15 @@ def _cfg(url='', **kwargs):
         'crop_pct': 0.875, 'interpolation': 'bilinear',
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
         'first_conv': 'conv1', 'classifier': 'classifier',
+        'license': 'mit',
         **kwargs
     }
 
 
 default_cfgs = generate_default_cfgs({
-    'hrnet_w18_small.gluon_in1k': _cfg(hf_hub_id='timm/', interpolation='bicubic'),
+    'hrnet_w18_small.gluon_in1k': _cfg(hf_hub_id='timm/', interpolation='bicubic', license='apache-2.0'),
     'hrnet_w18_small.ms_in1k': _cfg(hf_hub_id='timm/'),
-    'hrnet_w18_small_v2.gluon_in1k': _cfg(hf_hub_id='timm/', interpolation='bicubic'),
+    'hrnet_w18_small_v2.gluon_in1k': _cfg(hf_hub_id='timm/', interpolation='bicubic', license='apache-2.0'),
     'hrnet_w18_small_v2.ms_in1k': _cfg(hf_hub_id='timm/'),
     'hrnet_w18.ms_aug_in1k': _cfg(
         hf_hub_id='timm/',
diff --git a/timm/models/inception_next.py b/timm/models/inception_next.py
index a2a2097458..418cd79a9f 100644
--- a/timm/models/inception_next.py
+++ b/timm/models/inception_next.py
@@ -445,6 +445,7 @@ def _cfg(url='', **kwargs):
         'crop_pct': 0.875, 'interpolation': 'bicubic',
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
         'first_conv': 'stem.0', 'classifier': 'head.fc2',
+        'license': 'apache-2.0',
         **kwargs
     }
 
diff --git a/timm/models/inception_resnet_v2.py b/timm/models/inception_resnet_v2.py
index 0e27efebeb..9e56315329 100644
--- a/timm/models/inception_resnet_v2.py
+++ b/timm/models/inception_resnet_v2.py
@@ -366,6 +366,7 @@ def _create_inception_resnet_v2(variant, pretrained=False, **kwargs):
         'crop_pct': 0.8975, 'interpolation': 'bicubic',
         'mean': IMAGENET_INCEPTION_MEAN, 'std': IMAGENET_INCEPTION_STD,
         'first_conv': 'conv2d_1a.conv', 'classifier': 'classif',
+        'license': 'apache-2.0',
     },
     # As per https://arxiv.org/abs/1705.07204 and
     # ported from http://download.tensorflow.org/models/ens_adv_inception_resnet_v2_2017_08_18.tar.gz
@@ -375,6 +376,7 @@ def _create_inception_resnet_v2(variant, pretrained=False, **kwargs):
         'crop_pct': 0.8975, 'interpolation': 'bicubic',
         'mean': IMAGENET_INCEPTION_MEAN, 'std': IMAGENET_INCEPTION_STD,
         'first_conv': 'conv2d_1a.conv', 'classifier': 'classif',
+        'license': 'apache-2.0',
     }
 })
 
diff --git a/timm/models/inception_v3.py b/timm/models/inception_v3.py
index fd073c72fd..648153b259 100644
--- a/timm/models/inception_v3.py
+++ b/timm/models/inception_v3.py
@@ -468,7 +468,7 @@ def _cfg(url='', **kwargs):
         'num_classes': 1000, 'input_size': (3, 299, 299), 'pool_size': (8, 8),
         'crop_pct': 0.875, 'interpolation': 'bicubic',
         'mean': IMAGENET_INCEPTION_MEAN, 'std': IMAGENET_INCEPTION_STD,
-        'first_conv': 'Conv2d_1a_3x3.conv', 'classifier': 'fc',
+        'first_conv': 'Conv2d_1a_3x3.conv', 'classifier': 'fc', 'license': 'apache-2.0',
         **kwargs
     }
 
@@ -504,4 +504,4 @@ def inception_v3(pretrained=False, **kwargs) -> InceptionV3:
     'tf_inception_v3': 'inception_v3.tf_in1k',
     'adv_inception_v3': 'inception_v3.tf_adv_in1k',
     'gluon_inception_v3': 'inception_v3.gluon_in1k',
-})
\ No newline at end of file
+})
diff --git a/timm/models/inception_v4.py b/timm/models/inception_v4.py
index 9c06e1620a..150c51b474 100644
--- a/timm/models/inception_v4.py
+++ b/timm/models/inception_v4.py
@@ -434,6 +434,7 @@ def _create_inception_v4(variant, pretrained=False, **kwargs) -> InceptionV4:
         'crop_pct': 0.875, 'interpolation': 'bicubic',
         'mean': IMAGENET_INCEPTION_MEAN, 'std': IMAGENET_INCEPTION_STD,
         'first_conv': 'features.0.conv', 'classifier': 'last_linear',
+        'license': 'apache-2.0',
     }
 })
 
diff --git a/timm/models/levit.py b/timm/models/levit.py
index affb48db8d..1463db4a68 100644
--- a/timm/models/levit.py
+++ b/timm/models/levit.py
@@ -931,6 +931,7 @@ def _cfg(url='', **kwargs):
         'crop_pct': .9, 'interpolation': 'bicubic', 'fixed_input_size': True,
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
         'first_conv': 'stem.conv1.linear', 'classifier': ('head.linear', 'head_dist.linear'),
+        'license': 'apache-2.0',
         **kwargs
     }
 
diff --git a/timm/models/mambaout.py b/timm/models/mambaout.py
index 991781ad4b..97c821c3e2 100644
--- a/timm/models/mambaout.py
+++ b/timm/models/mambaout.py
@@ -557,6 +557,7 @@ def _cfg(url='', **kwargs):
         'pool_size': (7, 7), 'crop_pct': 1.0, 'interpolation': 'bicubic',
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
         'first_conv': 'stem.conv1', 'classifier': 'head.fc',
+        'license': 'apache-2.0',
         **kwargs
     }
 
diff --git a/timm/models/maxxvit.py b/timm/models/maxxvit.py
index 7cd332f925..c6d2517537 100644
--- a/timm/models/maxxvit.py
+++ b/timm/models/maxxvit.py
@@ -2151,7 +2151,7 @@ def _cfg(url: str = '', **kwargs: Any) -> Dict[str, Any]:
         'mean': (0.5, 0.5, 0.5), 'std': (0.5, 0.5, 0.5),
         'first_conv': 'stem.conv1', 'classifier': 'head.fc',
         'fixed_input_size': True,
-        **kwargs
+        'license': 'apache-2.0', **kwargs
     }
 
 
diff --git a/timm/models/metaformer.py b/timm/models/metaformer.py
index a157124694..c8e18d752f 100644
--- a/timm/models/metaformer.py
+++ b/timm/models/metaformer.py
@@ -801,6 +801,7 @@ def _cfg(url='', **kwargs):
         'crop_pct': 1.0, 'interpolation': 'bicubic',
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
         'classifier': 'head.fc', 'first_conv': 'stem.conv',
+        'license': 'apache-2.0',
         **kwargs
     }
 
diff --git a/timm/models/mlp_mixer.py b/timm/models/mlp_mixer.py
index a6db3dd7bc..ed3120b978 100644
--- a/timm/models/mlp_mixer.py
+++ b/timm/models/mlp_mixer.py
@@ -592,6 +592,7 @@ def _cfg(url='', **kwargs) -> Dict[str, Any]:
         'crop_pct': 0.875, 'interpolation': 'bicubic', 'fixed_input_size': True,
         'mean': (0.5, 0.5, 0.5), 'std': (0.5, 0.5, 0.5),
         'first_conv': 'stem.proj', 'classifier': 'head',
+        'license': 'apache-2.0',
         **kwargs
     }
 
diff --git a/timm/models/mobilenetv3.py b/timm/models/mobilenetv3.py
index 031cdbcf31..bfea64f127 100644
--- a/timm/models/mobilenetv3.py
+++ b/timm/models/mobilenetv3.py
@@ -1054,7 +1054,7 @@ def _cfg(url: str = '', **kwargs) -> Dict[str, Any]:
         'crop_pct': 0.875, 'interpolation': 'bilinear',
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
         'first_conv': 'conv_stem', 'classifier': 'classifier',
-        **kwargs
+        'license': 'apache-2.0', **kwargs
     }
 
 
diff --git a/timm/models/mobilenetv5.py b/timm/models/mobilenetv5.py
index f22dc76a3b..d1b2a52e21 100644
--- a/timm/models/mobilenetv5.py
+++ b/timm/models/mobilenetv5.py
@@ -842,7 +842,8 @@ def _cfg(url: str = '', **kwargs):
         hf_hub_id='timm/',
         mean=(0., 0., 0.), std=(1., 1., 1.),
         input_size=(3, 768, 768),
-        num_classes=0),
+        num_classes=0,
+        license='gemma'),
 
     # WIP classification configs for testing
     'mobilenetv5_base.untrained': _cfg(
diff --git a/timm/models/mobilevit.py b/timm/models/mobilevit.py
index 93c9d4e306..2e68b4df2c 100644
--- a/timm/models/mobilevit.py
+++ b/timm/models/mobilevit.py
@@ -595,6 +595,7 @@ def _cfg(url='', **kwargs):
         'mean': (0., 0., 0.), 'std': (1., 1., 1.),
         'first_conv': 'stem.conv', 'classifier': 'head.fc',
         'fixed_input_size': False,
+        'license': 'cvnets-license',
         **kwargs
     }
 
@@ -706,4 +707,4 @@ def mobilevitv2_200(pretrained=False, **kwargs) -> ByobNet:
     'mobilevitv2_150_384_in22ft1k': 'mobilevitv2_150.cvnets_in22k_ft_in1k_384',
     'mobilevitv2_175_384_in22ft1k': 'mobilevitv2_175.cvnets_in22k_ft_in1k_384',
     'mobilevitv2_200_384_in22ft1k': 'mobilevitv2_200.cvnets_in22k_ft_in1k_384',
-})
\ No newline at end of file
+})
diff --git a/timm/models/mvitv2.py b/timm/models/mvitv2.py
index 6b46e55970..45d8b9231f 100644
--- a/timm/models/mvitv2.py
+++ b/timm/models/mvitv2.py
@@ -1083,6 +1083,7 @@ def _cfg(url='', **kwargs):
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
         'first_conv': 'patch_embed.proj', 'classifier': 'head.fc',
         'fixed_input_size': True,
+        'license': 'apache-2.0',
         **kwargs
     }
 
diff --git a/timm/models/nasnet.py b/timm/models/nasnet.py
index af17f44af4..c3b8d97ef5 100644
--- a/timm/models/nasnet.py
+++ b/timm/models/nasnet.py
@@ -705,6 +705,7 @@ def _create_nasnet(variant, pretrained=False, **kwargs):
         'num_classes': 1000,
         'first_conv': 'conv0.conv',
         'classifier': 'last_linear',
+        'license': 'apache-2.0',
     },
 })
 
diff --git a/timm/models/nest.py b/timm/models/nest.py
index 62aab6f023..41f9ebcc17 100644
--- a/timm/models/nest.py
+++ b/timm/models/nest.py
@@ -616,6 +616,7 @@ def _cfg(url='', **kwargs):
         'crop_pct': .875, 'interpolation': 'bicubic', 'fixed_input_size': True,
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
         'first_conv': 'patch_embed.proj', 'classifier': 'head',
+        'license': 'apache-2.0',
         **kwargs
     }
 
diff --git a/timm/models/nextvit.py b/timm/models/nextvit.py
index fbaf4e515a..e7cbdca342 100644
--- a/timm/models/nextvit.py
+++ b/timm/models/nextvit.py
@@ -744,6 +744,7 @@ def _cfg(url='', **kwargs):
         'crop_pct': 0.95, 'interpolation': 'bicubic',
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
         'first_conv': 'stem.0.conv', 'classifier': 'head.fc',
+        'license': 'apache-2.0',
         **kwargs
     }
 
diff --git a/timm/models/nfnet.py b/timm/models/nfnet.py
index 16974d9fb3..e496a03515 100644
--- a/timm/models/nfnet.py
+++ b/timm/models/nfnet.py
@@ -839,7 +839,7 @@ def _dcfg(url: str = '', **kwargs: Any) -> Dict[str, Any]:
         'num_classes': 1000, 'input_size': (3, 224, 224), 'pool_size': (7, 7),
         'crop_pct': 0.9, 'interpolation': 'bicubic',
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
-        'first_conv': 'stem.conv1', 'classifier': 'head.fc',
+        'first_conv': 'stem.conv1', 'classifier': 'head.fc', 'license': 'apache-2.0',
         **kwargs
     }
 
@@ -1185,4 +1185,4 @@ def nf_ecaresnet101(pretrained: bool = False, **kwargs: Any) -> NormFreeNet:
 @register_model
 def test_nfnet(pretrained: bool = False, **kwargs: Any) -> NormFreeNet:
     """Test NFNet model for experimentation."""
-    return _create_normfreenet('test_nfnet', pretrained=pretrained, **kwargs)
\ No newline at end of file
+    return _create_normfreenet('test_nfnet', pretrained=pretrained, **kwargs)
diff --git a/timm/models/pit.py b/timm/models/pit.py
index dca27f598f..8d3743d13b 100644
--- a/timm/models/pit.py
+++ b/timm/models/pit.py
@@ -420,6 +420,7 @@ def _cfg(url='', **kwargs):
         'crop_pct': .9, 'interpolation': 'bicubic', 'fixed_input_size': True,
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
         'first_conv': 'patch_embed.conv', 'classifier': 'head',
+        'license': 'apache-2.0',
         **kwargs
     }
 
diff --git a/timm/models/pnasnet.py b/timm/models/pnasnet.py
index f8a16bd9e5..4d8cdd4e69 100644
--- a/timm/models/pnasnet.py
+++ b/timm/models/pnasnet.py
@@ -448,6 +448,7 @@ def _create_pnasnet(variant, pretrained=False, **kwargs):
         'num_classes': 1000,
         'first_conv': 'conv_0.conv',
         'classifier': 'last_linear',
+        'license': 'apache-2.0',
     },
 })
 
diff --git a/timm/models/pvt_v2.py b/timm/models/pvt_v2.py
index 1a00700022..95edfbcc02 100644
--- a/timm/models/pvt_v2.py
+++ b/timm/models/pvt_v2.py
@@ -532,6 +532,7 @@ def _cfg(url='', **kwargs):
         'crop_pct': 0.9, 'interpolation': 'bicubic',
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
         'first_conv': 'patch_embed.proj', 'classifier': 'head', 'fixed_input_size': False,
+        'license': 'apache-2.0',
         **kwargs
     }
 
diff --git a/timm/models/rdnet.py b/timm/models/rdnet.py
index 2f86d93dcc..6c3e9ab536 100644
--- a/timm/models/rdnet.py
+++ b/timm/models/rdnet.py
@@ -480,6 +480,7 @@ def _cfg(url='', **kwargs):
         "paper_ids": "arXiv:2403.19588",
         "paper_name": "DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs",
         "origin_url": "https://github.com/naver-ai/rdnet",
+        "license": "apache-2.0",
         **kwargs,
     }
 
diff --git a/timm/models/regnet.py b/timm/models/regnet.py
index b062eb2c2c..9b79d8fc80 100644
--- a/timm/models/regnet.py
+++ b/timm/models/regnet.py
@@ -1033,7 +1033,7 @@ def _cfg(url: str = '', **kwargs) -> Dict[str, Any]:
         'test_input_size': (3, 288, 288), 'crop_pct': 0.95, 'test_crop_pct': 1.0,
         'interpolation': 'bicubic', 'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
         'first_conv': 'stem.conv', 'classifier': 'head.fc',
-        **kwargs
+        'license': 'apache-2.0', **kwargs
     }
 
 
@@ -1195,37 +1195,37 @@ def _cfgtv2(url: str = '', **kwargs) -> Dict[str, Any]:
 
     'regnety_320.seer_ft_in1k': _cfgtv2(
         hf_hub_id='timm/',
-        license='other', origin_url='https://github.com/facebookresearch/vissl',
+        license='seer-license', origin_url='https://github.com/facebookresearch/vissl',
         url='https://dl.fbaipublicfiles.com/vissl/model_zoo/seer_finetuned/seer_regnet32_finetuned_in1k_model_final_checkpoint_phase78.torch',
         input_size=(3, 384, 384), pool_size=(12, 12), crop_pct=1.0),
     'regnety_640.seer_ft_in1k': _cfgtv2(
         hf_hub_id='timm/',
-        license='other', origin_url='https://github.com/facebookresearch/vissl',
+        license='seer-license', origin_url='https://github.com/facebookresearch/vissl',
         url='https://dl.fbaipublicfiles.com/vissl/model_zoo/seer_finetuned/seer_regnet64_finetuned_in1k_model_final_checkpoint_phase78.torch',
         input_size=(3, 384, 384), pool_size=(12, 12), crop_pct=1.0),
     'regnety_1280.seer_ft_in1k': _cfgtv2(
         hf_hub_id='timm/',
-        license='other', origin_url='https://github.com/facebookresearch/vissl',
+        license='seer-license', origin_url='https://github.com/facebookresearch/vissl',
         url='https://dl.fbaipublicfiles.com/vissl/model_zoo/seer_finetuned/seer_regnet128_finetuned_in1k_model_final_checkpoint_phase78.torch',
         input_size=(3, 384, 384), pool_size=(12, 12), crop_pct=1.0),
     'regnety_2560.seer_ft_in1k': _cfgtv2(
         hf_hub_id='timm/',
-        license='other', origin_url='https://github.com/facebookresearch/vissl',
+        license='seer-license', origin_url='https://github.com/facebookresearch/vissl',
         url='https://dl.fbaipublicfiles.com/vissl/model_zoo/seer_finetuned/seer_regnet256_finetuned_in1k_model_final_checkpoint_phase38.torch',
         input_size=(3, 384, 384), pool_size=(12, 12), crop_pct=1.0),
 
     'regnety_320.seer': _cfgtv2(
         hf_hub_id='timm/',
         url='https://dl.fbaipublicfiles.com/vissl/model_zoo/seer_regnet32d/seer_regnet32gf_model_iteration244000.torch',
-        num_classes=0, license='other', origin_url='https://github.com/facebookresearch/vissl'),
+        num_classes=0, license='seer-license', origin_url='https://github.com/facebookresearch/vissl'),
     'regnety_640.seer': _cfgtv2(
         hf_hub_id='timm/',
         url='https://dl.fbaipublicfiles.com/vissl/model_zoo/seer_regnet64/seer_regnet64gf_model_final_checkpoint_phase0.torch',
-        num_classes=0, license='other', origin_url='https://github.com/facebookresearch/vissl'),
+        num_classes=0, license='seer-license', origin_url='https://github.com/facebookresearch/vissl'),
     'regnety_1280.seer': _cfgtv2(
         hf_hub_id='timm/',
         url='https://dl.fbaipublicfiles.com/vissl/model_zoo/swav_ig1b_regnet128Gf_cnstant_bs32_node16_sinkhorn10_proto16k_syncBN64_warmup8k/model_final_checkpoint_phase0.torch',
-        num_classes=0, license='other', origin_url='https://github.com/facebookresearch/vissl'),
+        num_classes=0, license='seer-license', origin_url='https://github.com/facebookresearch/vissl'),
     # FIXME invalid weight <-> model match, mistake on their end
     #'regnety_2560.seer': _cfgtv2(
     #    url='https://dl.fbaipublicfiles.com/vissl/model_zoo/swav_ig1b_cosine_rg256gf_noBNhead_wd1e5_fairstore_bs16_node64_sinkhorn10_proto16k_apex_syncBN64_warmup8k/model_final_checkpoint_phase0.torch',
@@ -1486,4 +1486,4 @@ def regnetz_040_h(pretrained: bool = False, **kwargs) -> RegNet:
 
 register_model_deprecations(__name__, {
     'regnetz_040h': 'regnetz_040_h',
-})
\ No newline at end of file
+})
diff --git a/timm/models/repghost.py b/timm/models/repghost.py
index 779d27e037..47930ac1a9 100644
--- a/timm/models/repghost.py
+++ b/timm/models/repghost.py
@@ -487,6 +487,7 @@ def _cfg(url='', **kwargs):
         'crop_pct': 0.875, 'interpolation': 'bicubic',
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
         'first_conv': 'conv_stem', 'classifier': 'classifier',
+        'license': 'mit',
         **kwargs
     }
 
diff --git a/timm/models/repvit.py b/timm/models/repvit.py
index 66294e5582..48800c52e0 100644
--- a/timm/models/repvit.py
+++ b/timm/models/repvit.py
@@ -558,6 +558,7 @@ def _cfg(url='', **kwargs):
         'std': IMAGENET_DEFAULT_STD,
         'first_conv': 'stem.conv1.c',
         'classifier': ('head.head.l', 'head.head_dist.l'),
+        'license': 'apache-2.0',
         **kwargs,
     }
 
diff --git a/timm/models/res2net.py b/timm/models/res2net.py
index 589bf2ddb2..28d15dc25a 100644
--- a/timm/models/res2net.py
+++ b/timm/models/res2net.py
@@ -139,6 +139,7 @@ def _cfg(url='', **kwargs):
         'crop_pct': 0.875, 'interpolation': 'bilinear',
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
         'first_conv': 'conv1', 'classifier': 'fc',
+        'license': 'unknown',
         **kwargs
     }
 
diff --git a/timm/models/resnest.py b/timm/models/resnest.py
index 0695b38774..a4d3e7b73a 100644
--- a/timm/models/resnest.py
+++ b/timm/models/resnest.py
@@ -159,6 +159,7 @@ def _cfg(url='', **kwargs):
         'crop_pct': 0.875, 'interpolation': 'bilinear',
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
         'first_conv': 'conv1.0', 'classifier': 'fc',
+        'license': 'apache-2.0',
         **kwargs
     }
 
diff --git a/timm/models/resnet.py b/timm/models/resnet.py
index a92c5df6ce..41e7ce4588 100644
--- a/timm/models/resnet.py
+++ b/timm/models/resnet.py
@@ -799,6 +799,7 @@ def _cfg(url: str = '', **kwargs) -> Dict[str, Any]:
         'crop_pct': 0.875, 'interpolation': 'bilinear',
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
         'first_conv': 'conv1', 'classifier': 'fc',
+        'license': 'apache-2.0',
         **kwargs
     }
 
diff --git a/timm/models/resnetv2.py b/timm/models/resnetv2.py
index 48c8131368..024aa8de50 100644
--- a/timm/models/resnetv2.py
+++ b/timm/models/resnetv2.py
@@ -899,6 +899,7 @@ def _cfg(url: str = '', **kwargs: Any) -> Dict[str, Any]:
         'crop_pct': 0.875, 'interpolation': 'bilinear',
         'mean': IMAGENET_INCEPTION_MEAN, 'std': IMAGENET_INCEPTION_STD,
         'first_conv': 'stem.conv', 'classifier': 'head.fc',
+        'license': 'apache-2.0',
         **kwargs
     }
 
diff --git a/timm/models/selecsls.py b/timm/models/selecsls.py
index 7937aeb73b..fe694938d1 100644
--- a/timm/models/selecsls.py
+++ b/timm/models/selecsls.py
@@ -351,6 +351,7 @@ def _cfg(url='', **kwargs):
         'crop_pct': 0.875, 'interpolation': 'bilinear',
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
         'first_conv': 'stem.0', 'classifier': 'fc',
+        'license': 'cc-by-4.0',
         **kwargs
     }
 
diff --git a/timm/models/senet.py b/timm/models/senet.py
index 6a1bc99eb2..f317307d34 100644
--- a/timm/models/senet.py
+++ b/timm/models/senet.py
@@ -448,7 +448,7 @@ def _cfg(url='', **kwargs):
         'url': url, 'num_classes': 1000, 'input_size': (3, 224, 224), 'pool_size': (7, 7),
         'crop_pct': 0.875, 'interpolation': 'bilinear',
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
-        'first_conv': 'layer0.conv1', 'classifier': 'last_linear',
+        'first_conv': 'layer0.conv1', 'classifier': 'last_linear', 'license': 'apache-2.0',
         **kwargs
     }
 
diff --git a/timm/models/sequencer.py b/timm/models/sequencer.py
index 1c3b21acae..180ea30c6d 100644
--- a/timm/models/sequencer.py
+++ b/timm/models/sequencer.py
@@ -508,6 +508,7 @@ def _cfg(url='', **kwargs):
         'crop_pct': DEFAULT_CROP_PCT, 'interpolation': 'bicubic', 'fixed_input_size': True,
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
         'first_conv': 'stem.proj', 'classifier': 'head.fc',
+        'license': 'apache-2.0',
         **kwargs
     }
 
diff --git a/timm/models/shvit.py b/timm/models/shvit.py
index 396bc64d72..92f07f1c22 100644
--- a/timm/models/shvit.py
+++ b/timm/models/shvit.py
@@ -498,6 +498,7 @@ def _cfg(url: str = '', **kwargs: Any) -> Dict[str, Any]:
         'crop_pct': 0.875, 'interpolation': 'bicubic',
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
         'first_conv': 'patch_embed.0.c', 'classifier': 'head.l',
+        'license': 'mit',
         'paper_ids': 'arXiv:2401.16456',
         'paper_name': 'SHViT: Single-Head Vision Transformer with Memory Efficient Macro Design',
         'origin_url': 'https://github.com/ysj9909/SHViT',
diff --git a/timm/models/sknet.py b/timm/models/sknet.py
index 5884d20261..a5a4539211 100644
--- a/timm/models/sknet.py
+++ b/timm/models/sknet.py
@@ -185,6 +185,7 @@ def _cfg(url='', **kwargs):
         'crop_pct': 0.875, 'interpolation': 'bicubic',
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
         'first_conv': 'conv1', 'classifier': 'fc',
+        'license': 'apache-2.0',
         **kwargs
     }
 
diff --git a/timm/models/starnet.py b/timm/models/starnet.py
index 1cacd05cf9..e8560b6482 100644
--- a/timm/models/starnet.py
+++ b/timm/models/starnet.py
@@ -280,7 +280,7 @@ def _cfg(url: str = '', **kwargs: Any) -> Dict[str, Any]:
         'first_conv': 'stem.0.conv', 'classifier': 'head',
         'paper_ids': 'arXiv:2403.19967',
         'paper_name': 'Rewrite the Stars',
-        'origin_url': 'https://github.com/ma-xu/Rewrite-the-Stars',
+        'origin_url': 'https://github.com/ma-xu/Rewrite-the-Stars', 'license': 'apache-2.0',
         **kwargs
     }
 
@@ -358,4 +358,4 @@ def starnet_s100(pretrained: bool = False, **kwargs: Any) -> StarNet:
 @register_model
 def starnet_s150(pretrained: bool = False, **kwargs: Any) -> StarNet:
     model_args = dict(base_dim=24, depths=[1, 2, 4, 2], mlp_ratio=3)
-    return _create_starnet('starnet_s150', pretrained=pretrained, **dict(model_args, **kwargs))
\ No newline at end of file
+    return _create_starnet('starnet_s150', pretrained=pretrained, **dict(model_args, **kwargs))
diff --git a/timm/models/swiftformer.py b/timm/models/swiftformer.py
index 1a9900f1f0..245971d1e6 100644
--- a/timm/models/swiftformer.py
+++ b/timm/models/swiftformer.py
@@ -592,6 +592,7 @@ def _cfg(url: str = '', **kwargs: Any) -> Dict[str, Any]:
         'crop_pct': .95, 'interpolation': 'bicubic',
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
         'first_conv': 'stem.0', 'classifier': ('head', 'head_dist'),
+        'license': 'apache-2.0',
         'paper_ids': 'arXiv:2303.15446',
         'paper_name': 'SwiftFormer: Efficient Additive Attention for Transformer-based Real-time Mobile Vision Applications',
         'origin_url': 'https://github.com/Amshaker/SwiftFormer',
diff --git a/timm/models/swin_transformer_v2_cr.py b/timm/models/swin_transformer_v2_cr.py
index 34aefbcebc..e99d81711d 100644
--- a/timm/models/swin_transformer_v2_cr.py
+++ b/timm/models/swin_transformer_v2_cr.py
@@ -1002,6 +1002,7 @@ def _cfg(url: str = '', **kwargs) -> Dict[str, Any]:
         'std': IMAGENET_DEFAULT_STD,
         'first_conv': 'patch_embed.proj',
         'classifier': 'head.fc',
+        'license': 'apache-2.0',
         **kwargs,
     }
 
diff --git a/timm/models/tiny_vit.py b/timm/models/tiny_vit.py
index a70d570f22..44a4b52be9 100644
--- a/timm/models/tiny_vit.py
+++ b/timm/models/tiny_vit.py
@@ -717,6 +717,7 @@ def _cfg(url='', **kwargs):
         'pool_size': (7, 7),
         'input_size': (3, 224, 224),
         'crop_pct': 0.95,
+        'license': 'apache-2.0',
         **kwargs,
     }
 
diff --git a/timm/models/tnt.py b/timm/models/tnt.py
index 85435aa465..2fee9356de 100644
--- a/timm/models/tnt.py
+++ b/timm/models/tnt.py
@@ -499,6 +499,7 @@ def _cfg(url='', **kwargs):
         'paper_ids': 'arXiv:2103.00112',
         'paper_name': 'Transformer in Transformer',
         'origin_url': 'https://github.com/huawei-noah/Efficient-AI-Backbones/tree/master/tnt_pytorch',
+        'license': 'apache-2.0',
         **kwargs
     }
 
diff --git a/timm/models/tresnet.py b/timm/models/tresnet.py
index 7e318f6377..1dfb1c1b2e 100644
--- a/timm/models/tresnet.py
+++ b/timm/models/tresnet.py
@@ -389,6 +389,7 @@ def _cfg(url='', **kwargs):
         'crop_pct': 0.875, 'interpolation': 'bilinear',
         'mean': (0., 0., 0.), 'std': (1., 1., 1.),
         'first_conv': 'body.conv1.conv', 'classifier': 'head.fc',
+        'license': 'apache-2.0',
         **kwargs
     }
 
diff --git a/timm/models/twins.py b/timm/models/twins.py
index c27fd2be42..fa1a0a07ba 100644
--- a/timm/models/twins.py
+++ b/timm/models/twins.py
@@ -566,6 +566,7 @@ def _cfg(url='', **kwargs):
         'crop_pct': .9, 'interpolation': 'bicubic', 'fixed_input_size': True,
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
         'first_conv': 'patch_embeds.0.proj', 'classifier': 'head',
+        'license': 'apache-2.0',
         **kwargs
     }
 
diff --git a/timm/models/vgg.py b/timm/models/vgg.py
index f51396cc2d..2545d9dc94 100644
--- a/timm/models/vgg.py
+++ b/timm/models/vgg.py
@@ -336,6 +336,7 @@ def _cfg(url: str = '', **kwargs) -> Dict[str, Any]:
         'crop_pct': 0.875, 'interpolation': 'bilinear',
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
         'first_conv': 'features.0', 'classifier': 'head.fc',
+        'license': 'bsd-3-clause',
         **kwargs
     }
 
diff --git a/timm/models/visformer.py b/timm/models/visformer.py
index 31f1015b6d..14ba70dcda 100644
--- a/timm/models/visformer.py
+++ b/timm/models/visformer.py
@@ -492,6 +492,7 @@ def _cfg(url='', **kwargs):
         'crop_pct': .9, 'interpolation': 'bicubic', 'fixed_input_size': True,
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
         'first_conv': 'stem.0', 'classifier': 'head',
+        'license': 'apache-2.0',
         **kwargs
     }
 
diff --git a/timm/models/vision_transformer.py b/timm/models/vision_transformer.py
index 376825f08f..1a31d8ddd5 100644
--- a/timm/models/vision_transformer.py
+++ b/timm/models/vision_transformer.py
@@ -1473,6 +1473,7 @@ def _cfg(url: str = '', **kwargs) -> Dict[str, Any]:
         'std': IMAGENET_INCEPTION_STD,
         'first_conv': 'patch_embed.proj',
         'classifier': 'head',
+        'license': 'apache-2.0',
         **kwargs,
     }
 
@@ -1870,17 +1871,21 @@ def _cfg(url: str = '', **kwargs) -> Dict[str, Any]:
 
     'vit_base_patch32_clip_224.laion400m_e32': _cfg(
         hf_hub_id='timm/',
+        license='mit',
         notes=('natively QuickGELU, use quickgelu model variant for original results',),
         mean=OPENAI_CLIP_MEAN, std=OPENAI_CLIP_STD, num_classes=512),
     'vit_base_patch16_clip_224.laion400m_e32': _cfg(
         hf_hub_id='timm/',
+        license='mit',
         mean=OPENAI_CLIP_MEAN, std=OPENAI_CLIP_STD, crop_pct=1.0, num_classes=512),
     'vit_base_patch16_plus_clip_240.laion400m_e32': _cfg(
         hf_hub_id='timm/',
+        license='mit',
         mean=OPENAI_CLIP_MEAN, std=OPENAI_CLIP_STD,
         input_size=(3, 240, 240), crop_pct=1.0, num_classes=640),
     'vit_large_patch14_clip_224.laion400m_e32': _cfg(
         hf_hub_id='timm/',
+        license='mit',
         mean=OPENAI_CLIP_MEAN, std=OPENAI_CLIP_STD, crop_pct=1.0, num_classes=768),
 
     'vit_base_patch32_clip_224.datacompxl': _cfg(
@@ -2554,6 +2559,7 @@ def _cfg(url: str = '', **kwargs) -> Dict[str, Any]:
 
     'vit_intern300m_patch14_448.ogvl_dist': _cfg(
         hf_hub_id='timm/',
+        license='mit',
         mean=IMAGENET_DEFAULT_MEAN, std=IMAGENET_DEFAULT_STD,
         input_size=(3, 448, 448), crop_pct=1.0, num_classes=0,
     ),
diff --git a/timm/models/vision_transformer_hybrid.py b/timm/models/vision_transformer_hybrid.py
index b244c75589..eb255f1bd6 100644
--- a/timm/models/vision_transformer_hybrid.py
+++ b/timm/models/vision_transformer_hybrid.py
@@ -170,6 +170,7 @@ def _cfg(url='', **kwargs):
         'crop_pct': .9, 'interpolation': 'bicubic', 'fixed_input_size': True,
         'mean': (0.5, 0.5, 0.5), 'std': (0.5, 0.5, 0.5),
         'first_conv': 'patch_embed.backbone.stem.conv', 'classifier': 'head',
+        'license': 'apache-2.0',
         **kwargs
     }
 
@@ -241,6 +242,7 @@ def _cfg(url='', **kwargs):
     'vit_base_mci_224.apple_mclip_lt': _cfg(
         hf_hub_id='apple/mobileclip_b_lt_timm',
         url='https://docs-assets.developer.apple.com/ml-research/datasets/mobileclip/mobileclip_blt.pt',
+        license='apple-amlr',
         num_classes=512,
         mean=(0., 0., 0.), std=(1., 1., 1.), first_conv='patch_embed.backbone.0.conv',
     ),
@@ -248,6 +250,7 @@ def _cfg(url='', **kwargs):
         hf_hub_id='apple/mobileclip_b_timm',
         url='https://docs-assets.developer.apple.com/ml-research/datasets/mobileclip/mobileclip_b.pt',
         num_classes=512,
+        license='apple-amlr',
         mean=(0., 0., 0.), std=(1., 1., 1.), first_conv='patch_embed.backbone.0.conv',
     ),
     'vit_base_mci_224.apple_mclip2_dfndr2b': _cfg(
diff --git a/timm/models/vision_transformer_relpos.py b/timm/models/vision_transformer_relpos.py
index 492d6e2727..9fdcb887f4 100644
--- a/timm/models/vision_transformer_relpos.py
+++ b/timm/models/vision_transformer_relpos.py
@@ -537,6 +537,7 @@ def _cfg(url='', **kwargs):
         'crop_pct': .9, 'interpolation': 'bicubic', 'fixed_input_size': True,
         'mean': IMAGENET_INCEPTION_MEAN, 'std': IMAGENET_INCEPTION_STD,
         'first_conv': 'patch_embed.proj', 'classifier': 'head',
+        'license': 'apache-2.0',
         **kwargs
     }
 
diff --git a/timm/models/vitamin.py b/timm/models/vitamin.py
index 5fc1556a96..56882b6a43 100644
--- a/timm/models/vitamin.py
+++ b/timm/models/vitamin.py
@@ -325,7 +325,7 @@ def _cfg(url='', **kwargs):
         'crop_pct': .9, 'interpolation': 'bicubic', 'fixed_input_size': True,
         'mean': OPENAI_CLIP_MEAN, 'std': OPENAI_CLIP_STD,
         'first_conv': 'patch_embed.backbone.stem.conv1',
-        'classifier': 'head',
+        'classifier': 'head', 'license': 'mit',
         **kwargs
     }
 
@@ -623,4 +623,4 @@ def vitamin_xlarge_384(pretrained=False, **kwargs) -> VisionTransformer:
         img_size=384, embed_dim=1152, depth=32, num_heads=16, mlp_layer=GeGluMlp, mlp_ratio=2.,
         class_token=False, global_pool='avg', pos_embed='none', embed_cfg=embed_cfg)
     model = _create_vitamin('vitamin_xlarge_384', pretrained=pretrained, **dict(model_args, **kwargs))
-    return model
\ No newline at end of file
+    return model
diff --git a/timm/models/volo.py b/timm/models/volo.py
index db231aeff8..205d0d432f 100644
--- a/timm/models/volo.py
+++ b/timm/models/volo.py
@@ -1247,6 +1247,7 @@ def _cfg(url: str = '', **kwargs: Any) -> Dict[str, Any]:
         'crop_pct': .96, 'interpolation': 'bicubic', 'fixed_input_size': True,
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
         'first_conv': 'patch_embed.conv.0', 'classifier': ('head', 'aux_head'),
+        'license': 'apache-2.0',
         **kwargs
     }
 
diff --git a/timm/models/vovnet.py b/timm/models/vovnet.py
index ed8df58f23..4ed174a4f8 100644
--- a/timm/models/vovnet.py
+++ b/timm/models/vovnet.py
@@ -476,7 +476,8 @@ def _cfg(url='', **kwargs):
         'url': url, 'num_classes': 1000, 'input_size': (3, 224, 224), 'pool_size': (7, 7),
         'crop_pct': 0.875, 'interpolation': 'bicubic',
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
-        'first_conv': 'stem.0.conv', 'classifier': 'head.fc', **kwargs,
+        'first_conv': 'stem.0.conv', 'classifier': 'head.fc', 
+        'license': 'apache-2.0', **kwargs,
     }
 
 
diff --git a/timm/models/xception.py b/timm/models/xception.py
index 6f0b5dc590..d8edfeb17d 100644
--- a/timm/models/xception.py
+++ b/timm/models/xception.py
@@ -280,7 +280,8 @@ def _xception(variant, pretrained=False, **kwargs):
         'std': (0.5, 0.5, 0.5),
         'num_classes': 1000,
         'first_conv': 'conv1',
-        'classifier': 'fc'
+        'classifier': 'fc',
+        'license': 'apache-2.0',
         # The resize parameter of the validation transform should be 333, and make sure to center crop at 299x299
     }
 })
diff --git a/timm/models/xception_aligned.py b/timm/models/xception_aligned.py
index 18e1f0b4a9..1ad3bf8c39 100644
--- a/timm/models/xception_aligned.py
+++ b/timm/models/xception_aligned.py
@@ -358,7 +358,7 @@ def _cfg(url='', **kwargs):
         'num_classes': 1000, 'input_size': (3, 299, 299), 'pool_size': (10, 10),
         'crop_pct': 0.903, 'interpolation': 'bicubic',
         'mean': IMAGENET_INCEPTION_MEAN, 'std': IMAGENET_INCEPTION_STD,
-        'first_conv': 'stem.0.conv', 'classifier': 'head.fc',
+        'first_conv': 'stem.0.conv', 'classifier': 'head.fc', 'license': 'apache-2.0',
         **kwargs
     }
 
diff --git a/timm/models/xcit.py b/timm/models/xcit.py
index 7833a8e1ca..de3deefc95 100644
--- a/timm/models/xcit.py
+++ b/timm/models/xcit.py
@@ -691,7 +691,7 @@ def _cfg(url='', **kwargs):
         'crop_pct': 1.0, 'interpolation': 'bicubic', 'fixed_input_size': True,
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
         'first_conv': 'patch_embed.proj.0.0', 'classifier': 'head',
-        **kwargs
+        'license': 'apache-2.0', **kwargs
     }