diff --git a/timm/models/_hub.py b/timm/models/_hub.py
index c77b04d854..22a6487676 100644
--- a/timm/models/_hub.py
+++ b/timm/models/_hub.py
@@ -32,9 +32,9 @@
 try:
     from huggingface_hub import (
         create_repo, get_hf_file_metadata,
-        hf_hub_download, hf_hub_url,
+        hf_hub_download, hf_hub_url, model_info,
         repo_type_and_id_from_hf_id, upload_folder)
-    from huggingface_hub.utils import EntryNotFoundError
+    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:
@@ -540,3 +540,56 @@ 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 5b5973801d..78c2c85efd 100644
--- a/timm/models/beit.py
+++ b/timm/models/beit.py
@@ -738,6 +738,7 @@ 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 e37d25b6ef..26ec77ade9 100644
--- a/timm/models/byobnet.py
+++ b/timm/models/byobnet.py
@@ -2279,6 +2279,7 @@ 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
     }
 
@@ -2298,6 +2299,7 @@ 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
     }
 
@@ -2451,26 +2453,31 @@ 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
@@ -2479,48 +2486,56 @@ 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
@@ -2528,41 +2543,49 @@ 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 2c500ec3dd..bb28dfe574 100644
--- a/timm/models/cait.py
+++ b/timm/models/cait.py
@@ -472,6 +472,7 @@ 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 e0b0bcfb84..aaf0a90a52 100644
--- a/timm/models/coat.py
+++ b/timm/models/coat.py
@@ -720,6 +720,7 @@ 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
     }
 
@@ -800,4 +801,4 @@ 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 cbe3b51ece..262b2a82a6 100644
--- a/timm/models/convit.py
+++ b/timm/models/convit.py
@@ -391,7 +391,7 @@ 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 de986e3baf..f13300ff22 100644
--- a/timm/models/convmixer.py
+++ b/timm/models/convmixer.py
@@ -115,7 +115,7 @@ 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
     }
 
@@ -143,4 +143,4 @@ 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 cdc34eba2f..a8f193baee 100644
--- a/timm/models/convnext.py
+++ b/timm/models/convnext.py
@@ -665,7 +665,7 @@ 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
     }
 
 
@@ -1067,25 +1067,25 @@ 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 0e1de2fadd..bacc9ba068 100644
--- a/timm/models/crossvit.py
+++ b/timm/models/crossvit.py
@@ -489,6 +489,7 @@ 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 81d11a0654..7c8ac71dcf 100644
--- a/timm/models/cspnet.py
+++ b/timm/models/cspnet.py
@@ -917,7 +917,7 @@ 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
     }
 
@@ -1111,4 +1111,4 @@ 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 22b4a1a05f..ae7c8880df 100644
--- a/timm/models/davit.py
+++ b/timm/models/davit.py
@@ -806,6 +806,7 @@ 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 0072013bf6..b1e0ae918f 100644
--- a/timm/models/deit.py
+++ b/timm/models/deit.py
@@ -140,6 +140,7 @@ 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 1a9f9887a5..0c14b9f42e 100644
--- a/timm/models/densenet.py
+++ b/timm/models/densenet.py
@@ -472,7 +472,8 @@ 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 197060e4e6..465644e149 100644
--- a/timm/models/dla.py
+++ b/timm/models/dla.py
@@ -399,7 +399,7 @@ 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
     }
 
@@ -415,8 +415,8 @@ 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 c03e5fe1a1..87a851e594 100644
--- a/timm/models/dpn.py
+++ b/timm/models/dpn.py
@@ -295,7 +295,7 @@ 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 333f73f0d5..18de7c22f0 100644
--- a/timm/models/edgenext.py
+++ b/timm/models/edgenext.py
@@ -560,6 +560,7 @@ 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 669062d365..a1a9064e16 100644
--- a/timm/models/efficientformer.py
+++ b/timm/models/efficientformer.py
@@ -590,6 +590,7 @@ 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 39c832c8c2..3e51aa2f67 100644
--- a/timm/models/efficientformer_v2.py
+++ b/timm/models/efficientformer_v2.py
@@ -726,6 +726,7 @@ 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 d1976944da..08a0dbad95 100644
--- a/timm/models/efficientnet.py
+++ b/timm/models/efficientnet.py
@@ -1312,7 +1312,7 @@ 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 8b35a04c87..f46eb0763b 100644
--- a/timm/models/efficientvit_mit.py
+++ b/timm/models/efficientvit_mit.py
@@ -998,6 +998,7 @@ 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 80c5d99995..4f3b7e3bed 100644
--- a/timm/models/efficientvit_msra.py
+++ b/timm/models/efficientvit_msra.py
@@ -598,6 +598,7 @@ 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 1cd690b06c..58aecf6765 100644
--- a/timm/models/eva.py
+++ b/timm/models/eva.py
@@ -1256,7 +1256,7 @@ 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
     }
 
 
@@ -1276,7 +1276,7 @@ def _dinov3_cfg(url: str = '', **kwargs) -> Dict[str, Any]:
         'crop_pct': 1.0, 'interpolation': 'bicubic', 'min_input_size': (3, 128, 128),
         '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({
@@ -2538,7 +2538,7 @@ 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 b9e4aed249..07c1a00d9e 100644
--- a/timm/models/fasternet.py
+++ b/timm/models/fasternet.py
@@ -405,6 +405,7 @@ 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 9939095c43..de4c67b21b 100644
--- a/timm/models/fastvit.py
+++ b/timm/models/fastvit.py
@@ -1360,6 +1360,7 @@ 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",
@@ -1410,21 +1411,21 @@ 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(
@@ -1732,4 +1733,4 @@ 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 367e5dfff5..ad85f93be0 100644
--- a/timm/models/gcvit.py
+++ b/timm/models/gcvit.py
@@ -582,6 +582,7 @@ 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 126d638f43..02fb224a93 100644
--- a/timm/models/ghostnet.py
+++ b/timm/models/ghostnet.py
@@ -850,6 +850,7 @@ 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 5c49f9ddca..0e772800d1 100644
--- a/timm/models/hgnet.py
+++ b/timm/models/hgnet.py
@@ -694,6 +694,7 @@ 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 fa9d6d2833..fe335fd710 100644
--- a/timm/models/hiera.py
+++ b/timm/models/hiera.py
@@ -818,6 +818,7 @@ 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 cd8bc6c8e9..a3dfdafad8 100644
--- a/timm/models/hieradet_sam2.py
+++ b/timm/models/hieradet_sam2.py
@@ -532,6 +532,7 @@ 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 92ee3511cf..0e54559f14 100644
--- a/timm/models/hrnet.py
+++ b/timm/models/hrnet.py
@@ -888,14 +888,15 @@ 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 3159ac03be..9405c40f43 100644
--- a/timm/models/inception_next.py
+++ b/timm/models/inception_next.py
@@ -427,6 +427,7 @@ 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 d691be7a8f..2f4b91e324 100644
--- a/timm/models/inception_resnet_v2.py
+++ b/timm/models/inception_resnet_v2.py
@@ -317,6 +317,7 @@ 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
@@ -326,6 +327,7 @@ 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 a55521c3de..10b37dfaff 100644
--- a/timm/models/inception_v3.py
+++ b/timm/models/inception_v3.py
@@ -418,7 +418,7 @@ 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
     }
 
@@ -454,4 +454,4 @@ 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 cadbf95284..472052e398 100644
--- a/timm/models/inception_v4.py
+++ b/timm/models/inception_v4.py
@@ -378,6 +378,7 @@ 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 a4c9ce628a..7981765c92 100644
--- a/timm/models/levit.py
+++ b/timm/models/levit.py
@@ -842,6 +842,7 @@ 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 b28827ed71..5e838cf3a1 100644
--- a/timm/models/mambaout.py
+++ b/timm/models/mambaout.py
@@ -526,6 +526,7 @@ 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 85cc3b4238..c58de60063 100644
--- a/timm/models/maxxvit.py
+++ b/timm/models/maxxvit.py
@@ -2079,7 +2079,7 @@ 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 3364a79563..efbaa6e4d4 100644
--- a/timm/models/metaformer.py
+++ b/timm/models/metaformer.py
@@ -740,6 +740,7 @@ 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 838e0e0117..cb76f17284 100644
--- a/timm/models/mlp_mixer.py
+++ b/timm/models/mlp_mixer.py
@@ -560,6 +560,7 @@ 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 eb87bb38d8..0c2969099c 100644
--- a/timm/models/mobilenetv3.py
+++ b/timm/models/mobilenetv3.py
@@ -1032,7 +1032,7 @@ 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 8a3e132d1e..9a0e2ec93d 100644
--- a/timm/models/mobilenetv5.py
+++ b/timm/models/mobilenetv5.py
@@ -826,7 +826,8 @@ 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 9c84871e6d..f16b35bd80 100644
--- a/timm/models/mobilevit.py
+++ b/timm/models/mobilevit.py
@@ -567,6 +567,7 @@ 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
     }
 
@@ -678,4 +679,4 @@ 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 01c4550ed8..7e08655e27 100644
--- a/timm/models/mvitv2.py
+++ b/timm/models/mvitv2.py
@@ -1051,6 +1051,7 @@ 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 8edee45c86..040d72f1e6 100644
--- a/timm/models/nasnet.py
+++ b/timm/models/nasnet.py
@@ -586,6 +586,7 @@ 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 9a423a9776..2555154a85 100644
--- a/timm/models/nest.py
+++ b/timm/models/nest.py
@@ -571,6 +571,7 @@ 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 402a9d76ea..70629bb4b0 100644
--- a/timm/models/nextvit.py
+++ b/timm/models/nextvit.py
@@ -683,6 +683,7 @@ 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 68b8b1b6d6..93814995c4 100644
--- a/timm/models/nfnet.py
+++ b/timm/models/nfnet.py
@@ -824,7 +824,7 @@ 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
     }
 
@@ -1170,4 +1170,4 @@ 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 b7985cf998..04b24ca09e 100644
--- a/timm/models/pit.py
+++ b/timm/models/pit.py
@@ -393,6 +393,7 @@ 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 7f33aaeabb..51faba8b72 100644
--- a/timm/models/pnasnet.py
+++ b/timm/models/pnasnet.py
@@ -363,6 +363,7 @@ 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 0259a1f64e..d242ce8b7a 100644
--- a/timm/models/pvt_v2.py
+++ b/timm/models/pvt_v2.py
@@ -500,6 +500,7 @@ 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 5764b6ed82..81bfa3b25f 100644
--- a/timm/models/rdnet.py
+++ b/timm/models/rdnet.py
@@ -434,6 +434,7 @@ 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 f05bad37ba..ed82c8dfa7 100644
--- a/timm/models/regnet.py
+++ b/timm/models/regnet.py
@@ -1011,7 +1011,7 @@ 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
     }
 
 
@@ -1173,37 +1173,37 @@ 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',
@@ -1464,4 +1464,4 @@ 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 c5a7d93a4f..64facda4c8 100644
--- a/timm/models/repghost.py
+++ b/timm/models/repghost.py
@@ -456,6 +456,7 @@ 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 3641d6f70c..f071e4b26f 100644
--- a/timm/models/repvit.py
+++ b/timm/models/repvit.py
@@ -440,6 +440,7 @@ 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 691f929b91..d55647410b 100644
--- a/timm/models/res2net.py
+++ b/timm/models/res2net.py
@@ -127,6 +127,7 @@ 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 5b1438017e..3b4eff64b3 100644
--- a/timm/models/resnest.py
+++ b/timm/models/resnest.py
@@ -133,6 +133,7 @@ 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 ca07682b80..6add0a846e 100644
--- a/timm/models/resnet.py
+++ b/timm/models/resnet.py
@@ -748,6 +748,7 @@ 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 0b78e7b44d..efb1595947 100644
--- a/timm/models/resnetv2.py
+++ b/timm/models/resnetv2.py
@@ -872,6 +872,7 @@ 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 dc19ff41d1..e49851473a 100644
--- a/timm/models/selecsls.py
+++ b/timm/models/selecsls.py
@@ -321,6 +321,7 @@ 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 9884c61419..e9a48db1f8 100644
--- a/timm/models/senet.py
+++ b/timm/models/senet.py
@@ -372,7 +372,7 @@ 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 86c4b1df4d..94da5cf002 100644
--- a/timm/models/sequencer.py
+++ b/timm/models/sequencer.py
@@ -478,6 +478,7 @@ 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 c165f1a280..9bfd15014e 100644
--- a/timm/models/shvit.py
+++ b/timm/models/shvit.py
@@ -463,6 +463,7 @@ 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 b12df2319f..d305183691 100644
--- a/timm/models/sknet.py
+++ b/timm/models/sknet.py
@@ -157,6 +157,7 @@ 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 9ed32a85d7..7d6b55a001 100644
--- a/timm/models/starnet.py
+++ b/timm/models/starnet.py
@@ -267,7 +267,7 @@ 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
     }
 
@@ -345,4 +345,4 @@ 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 38df6f1638..2323dae392 100644
--- a/timm/models/swiftformer.py
+++ b/timm/models/swiftformer.py
@@ -555,6 +555,7 @@ 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 1ef3164fd9..f3a2aa22f8 100644
--- a/timm/models/swin_transformer_v2_cr.py
+++ b/timm/models/swin_transformer_v2_cr.py
@@ -962,6 +962,7 @@ 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 39bacc850c..1891d85499 100644
--- a/timm/models/tiny_vit.py
+++ b/timm/models/tiny_vit.py
@@ -640,6 +640,7 @@ 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 0ecd8e72a4..01e07446ed 100644
--- a/timm/models/tnt.py
+++ b/timm/models/tnt.py
@@ -471,6 +471,7 @@ 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 2c452e4707..ece735df20 100644
--- a/timm/models/tresnet.py
+++ b/timm/models/tresnet.py
@@ -353,6 +353,7 @@ 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 74d22e24c1..d138b7c624 100644
--- a/timm/models/twins.py
+++ b/timm/models/twins.py
@@ -519,6 +519,7 @@ 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 23c8834894..0085a2b439 100644
--- a/timm/models/vgg.py
+++ b/timm/models/vgg.py
@@ -328,6 +328,7 @@ 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 2ed3be5da8..0392f73a98 100644
--- a/timm/models/visformer.py
+++ b/timm/models/visformer.py
@@ -452,6 +452,7 @@ 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 1c21d4ffb2..70dd41d5ac 100644
--- a/timm/models/vision_transformer.py
+++ b/timm/models/vision_transformer.py
@@ -1474,6 +1474,7 @@ def _cfg(url: str = '', **kwargs) -> Dict[str, Any]:
         'std': IMAGENET_INCEPTION_STD,
         'first_conv': 'patch_embed.proj',
         'classifier': 'head',
+        'license': 'apache-2.0',
         **kwargs,
     }
 
@@ -1869,17 +1870,21 @@ 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(
@@ -2553,6 +2558,7 @@ 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 7290bb7697..525c38cee0 100644
--- a/timm/models/vision_transformer_hybrid.py
+++ b/timm/models/vision_transformer_hybrid.py
@@ -150,6 +150,7 @@ 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
     }
 
@@ -221,6 +222,7 @@ 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',
     ),
@@ -228,6 +230,7 @@ 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 dcccba73ba..70a5c7f0d6 100644
--- a/timm/models/vision_transformer_relpos.py
+++ b/timm/models/vision_transformer_relpos.py
@@ -516,6 +516,7 @@ 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 fa76275426..ed4f67d107 100644
--- a/timm/models/vitamin.py
+++ b/timm/models/vitamin.py
@@ -303,7 +303,7 @@ 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
     }
 
@@ -601,4 +601,4 @@ 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 f417dc6df1..ab70c3f77b 100644
--- a/timm/models/volo.py
+++ b/timm/models/volo.py
@@ -1189,6 +1189,7 @@ 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 8da9431f09..eb1081fb54 100644
--- a/timm/models/vovnet.py
+++ b/timm/models/vovnet.py
@@ -466,7 +466,8 @@ 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 e1f92abfa0..f64e9e4dd1 100644
--- a/timm/models/xception.py
+++ b/timm/models/xception.py
@@ -239,7 +239,8 @@ 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 3c67fa8036..77a405d7b6 100644
--- a/timm/models/xception_aligned.py
+++ b/timm/models/xception_aligned.py
@@ -312,7 +312,7 @@ 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 271578adf8..794451dc25 100644
--- a/timm/models/xcit.py
+++ b/timm/models/xcit.py
@@ -612,7 +612,7 @@ 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
     }