diff --git a/torchvision/models/_utils.py b/torchvision/models/_utils.py
index 08c878a8a67..c565f611999 100644
--- a/torchvision/models/_utils.py
+++ b/torchvision/models/_utils.py
@@ -134,7 +134,8 @@ def wrapper(*args: Any, **kwargs: Any) -> D:
             keyword_only_kwargs = dict(zip(keyword_only_params, keyword_only_args))
             warnings.warn(
                 f"Using {sequence_to_str(tuple(keyword_only_kwargs.keys()), separate_last='and ')} as positional "
-                f"parameter(s) is deprecated. Please use keyword parameter(s) instead."
+                f"parameter(s) is deprecated since 0.13 and will be removed in 0.15. Please use keyword parameter(s) "
+                f"instead."
             )
             kwargs.update(keyword_only_kwargs)
 
@@ -205,11 +206,13 @@ def inner_wrapper(*args: Any, **kwargs: Any) -> M:
 
                 if not pretrained_positional:
                     warnings.warn(
-                        f"The parameter '{pretrained_param}' is deprecated, please use '{weights_param}' instead."
+                        f"The parameter '{pretrained_param}' is deprecated since 0.13 and will be removed in 0.15, "
+                        f"please use '{weights_param}' instead."
                     )
 
                 msg = (
-                    f"Arguments other than a weight enum or `None` for '{weights_param}' are deprecated. "
+                    f"Arguments other than a weight enum or `None` for '{weights_param}' are deprecated since 0.13 and "
+                    f"will be removed in 0.15. "
                     f"The current behavior is equivalent to passing `{weights_param}={default_weights_arg}`."
                 )
                 if pretrained_arg:
@@ -242,3 +245,12 @@ def _ovewrite_value_param(param: Optional[V], new_value: V) -> V:
         if param != new_value:
             raise ValueError(f"The parameter '{param}' expected value {new_value} but got {param} instead.")
     return new_value
+
+
+class _ModelURLs(dict):
+    def __getitem__(self, item):
+        warnings.warn(
+            "Accessing the model URLs via the internal dictionary of the module is deprecated since 0.13 and will "
+            "be removed in 0.15. Please access them via the appropriate Weights Enum instead."
+        )
+        return super().__getitem__(item)
diff --git a/torchvision/models/alexnet.py b/torchvision/models/alexnet.py
index 97877c52060..6c9ae4932d7 100644
--- a/torchvision/models/alexnet.py
+++ b/torchvision/models/alexnet.py
@@ -111,3 +111,14 @@ def alexnet(*, weights: Optional[AlexNet_Weights] = None, progress: bool = True,
         model.load_state_dict(weights.get_state_dict(progress=progress))
 
     return model
+
+
+# The dictionary below is internal implementation detail and will be removed in v0.15
+from ._utils import _ModelURLs
+
+
+model_urls = _ModelURLs(
+    {
+        "alexnet": AlexNet_Weights.IMAGENET1K_V1.url,
+    }
+)
diff --git a/torchvision/models/densenet.py b/torchvision/models/densenet.py
index 2fb60fc68cc..bf46b113691 100644
--- a/torchvision/models/densenet.py
+++ b/torchvision/models/densenet.py
@@ -430,3 +430,17 @@ def densenet201(*, weights: Optional[DenseNet201_Weights] = None, progress: bool
     weights = DenseNet201_Weights.verify(weights)
 
     return _densenet(32, (6, 12, 48, 32), 64, weights, progress, **kwargs)
+
+
+# The dictionary below is internal implementation detail and will be removed in v0.15
+from ._utils import _ModelURLs
+
+
+model_urls = _ModelURLs(
+    {
+        "densenet121": DenseNet121_Weights.IMAGENET1K_V1.url,
+        "densenet169": DenseNet169_Weights.IMAGENET1K_V1.url,
+        "densenet201": DenseNet201_Weights.IMAGENET1K_V1.url,
+        "densenet161": DenseNet161_Weights.IMAGENET1K_V1.url,
+    }
+)
diff --git a/torchvision/models/detection/faster_rcnn.py b/torchvision/models/detection/faster_rcnn.py
index 9a0ce20410e..afe66ead646 100644
--- a/torchvision/models/detection/faster_rcnn.py
+++ b/torchvision/models/detection/faster_rcnn.py
@@ -804,3 +804,16 @@ def fasterrcnn_mobilenet_v3_large_fpn(
         trainable_backbone_layers=trainable_backbone_layers,
         **kwargs,
     )
+
+
+# The dictionary below is internal implementation detail and will be removed in v0.15
+from .._utils import _ModelURLs
+
+
+model_urls = _ModelURLs(
+    {
+        "fasterrcnn_resnet50_fpn_coco": FasterRCNN_ResNet50_FPN_Weights.COCO_V1.url,
+        "fasterrcnn_mobilenet_v3_large_320_fpn_coco": FasterRCNN_MobileNet_V3_Large_320_FPN_Weights.COCO_V1.url,
+        "fasterrcnn_mobilenet_v3_large_fpn_coco": FasterRCNN_MobileNet_V3_Large_FPN_Weights.COCO_V1.url,
+    }
+)
diff --git a/torchvision/models/detection/fcos.py b/torchvision/models/detection/fcos.py
index 54094d2fa22..684b52100db 100644
--- a/torchvision/models/detection/fcos.py
+++ b/torchvision/models/detection/fcos.py
@@ -758,3 +758,14 @@ def fcos_resnet50_fpn(
         model.load_state_dict(weights.get_state_dict(progress=progress))
 
     return model
+
+
+# The dictionary below is internal implementation detail and will be removed in v0.15
+from .._utils import _ModelURLs
+
+
+model_urls = _ModelURLs(
+    {
+        "fcos_resnet50_fpn_coco": FCOS_ResNet50_FPN_Weights.COCO_V1.url,
+    }
+)
diff --git a/torchvision/models/detection/keypoint_rcnn.py b/torchvision/models/detection/keypoint_rcnn.py
index c551ba4b9ec..410c53d60b7 100644
--- a/torchvision/models/detection/keypoint_rcnn.py
+++ b/torchvision/models/detection/keypoint_rcnn.py
@@ -454,3 +454,16 @@ def keypointrcnn_resnet50_fpn(
             overwrite_eps(model, 0.0)
 
     return model
+
+
+# The dictionary below is internal implementation detail and will be removed in v0.15
+from .._utils import _ModelURLs
+
+
+model_urls = _ModelURLs(
+    {
+        # legacy model for BC reasons, see https://github.com/pytorch/vision/issues/1606
+        "keypointrcnn_resnet50_fpn_coco_legacy": KeypointRCNN_ResNet50_FPN_Weights.COCO_LEGACY.url,
+        "keypointrcnn_resnet50_fpn_coco": KeypointRCNN_ResNet50_FPN_Weights.COCO_V1.url,
+    }
+)
diff --git a/torchvision/models/detection/mask_rcnn.py b/torchvision/models/detection/mask_rcnn.py
index 1b8eaa4b168..6b1ba04a195 100644
--- a/torchvision/models/detection/mask_rcnn.py
+++ b/torchvision/models/detection/mask_rcnn.py
@@ -565,3 +565,14 @@ def maskrcnn_resnet50_fpn_v2(
         model.load_state_dict(weights.get_state_dict(progress=progress))
 
     return model
+
+
+# The dictionary below is internal implementation detail and will be removed in v0.15
+from .._utils import _ModelURLs
+
+
+model_urls = _ModelURLs(
+    {
+        "maskrcnn_resnet50_fpn_coco": MaskRCNN_ResNet50_FPN_Weights.COCO_V1.url,
+    }
+)
diff --git a/torchvision/models/detection/retinanet.py b/torchvision/models/detection/retinanet.py
index 4a5f9b78b4a..0cb4979d332 100644
--- a/torchvision/models/detection/retinanet.py
+++ b/torchvision/models/detection/retinanet.py
@@ -879,3 +879,14 @@ def retinanet_resnet50_fpn_v2(
         model.load_state_dict(weights.get_state_dict(progress=progress))
 
     return model
+
+
+# The dictionary below is internal implementation detail and will be removed in v0.15
+from .._utils import _ModelURLs
+
+
+model_urls = _ModelURLs(
+    {
+        "retinanet_resnet50_fpn_coco": RetinaNet_ResNet50_FPN_Weights.COCO_V1.url,
+    }
+)
diff --git a/torchvision/models/detection/ssd.py b/torchvision/models/detection/ssd.py
index d83147f81f5..7e5625329be 100644
--- a/torchvision/models/detection/ssd.py
+++ b/torchvision/models/detection/ssd.py
@@ -672,3 +672,25 @@ def ssd300_vgg16(
         model.load_state_dict(weights.get_state_dict(progress=progress))
 
     return model
+
+
+# The dictionary below is internal implementation detail and will be removed in v0.15
+from .._utils import _ModelURLs
+
+
+model_urls = _ModelURLs(
+    {
+        "ssd300_vgg16_coco": SSD300_VGG16_Weights.COCO_V1.url,
+    }
+)
+
+
+backbone_urls = _ModelURLs(
+    {
+        # We port the features of a VGG16 backbone trained by amdegroot because unlike the one on TorchVision, it uses
+        # the same input standardization method as the paper.
+        # Ref: https://s3.amazonaws.com/amdegroot-models/vgg16_reducedfc.pth
+        # Only the `features` weights have proper values, those on the `classifier` module are filled with nans.
+        "vgg16_features": VGG16_Weights.IMAGENET1K_FEATURES.url,
+    }
+)
diff --git a/torchvision/models/detection/ssdlite.py b/torchvision/models/detection/ssdlite.py
index b23490bc295..f94758cb166 100644
--- a/torchvision/models/detection/ssdlite.py
+++ b/torchvision/models/detection/ssdlite.py
@@ -321,3 +321,14 @@ def ssdlite320_mobilenet_v3_large(
         model.load_state_dict(weights.get_state_dict(progress=progress))
 
     return model
+
+
+# The dictionary below is internal implementation detail and will be removed in v0.15
+from .._utils import _ModelURLs
+
+
+model_urls = _ModelURLs(
+    {
+        "ssdlite320_mobilenet_v3_large_coco": SSDLite320_MobileNet_V3_Large_Weights.COCO_V1.url,
+    }
+)
diff --git a/torchvision/models/efficientnet.py b/torchvision/models/efficientnet.py
index 1e42e235a20..be166140209 100644
--- a/torchvision/models/efficientnet.py
+++ b/torchvision/models/efficientnet.py
@@ -1028,3 +1028,23 @@ def efficientnet_v2_l(
         norm_layer=partial(nn.BatchNorm2d, eps=1e-03),
         **kwargs,
     )
+
+
+# The dictionary below is internal implementation detail and will be removed in v0.15
+from ._utils import _ModelURLs
+
+
+model_urls = _ModelURLs(
+    {
+        # Weights ported from https://github.com/rwightman/pytorch-image-models/
+        "efficientnet_b0": EfficientNet_B0_Weights.IMAGENET1K_V1.url,
+        "efficientnet_b1": EfficientNet_B1_Weights.IMAGENET1K_V1.url,
+        "efficientnet_b2": EfficientNet_B2_Weights.IMAGENET1K_V1.url,
+        "efficientnet_b3": EfficientNet_B3_Weights.IMAGENET1K_V1.url,
+        "efficientnet_b4": EfficientNet_B4_Weights.IMAGENET1K_V1.url,
+        # Weights ported from https://github.com/lukemelas/EfficientNet-PyTorch/
+        "efficientnet_b5": EfficientNet_B5_Weights.IMAGENET1K_V1.url,
+        "efficientnet_b6": EfficientNet_B6_Weights.IMAGENET1K_V1.url,
+        "efficientnet_b7": EfficientNet_B7_Weights.IMAGENET1K_V1.url,
+    }
+)
diff --git a/torchvision/models/googlenet.py b/torchvision/models/googlenet.py
index a8a4c8bc3b9..37c20d72cdd 100644
--- a/torchvision/models/googlenet.py
+++ b/torchvision/models/googlenet.py
@@ -339,3 +339,15 @@ def googlenet(*, weights: Optional[GoogLeNet_Weights] = None, progress: bool = T
             )
 
     return model
+
+
+# The dictionary below is internal implementation detail and will be removed in v0.15
+from ._utils import _ModelURLs
+
+
+model_urls = _ModelURLs(
+    {
+        # GoogLeNet ported from TensorFlow
+        "googlenet": GoogLeNet_Weights.IMAGENET1K_V1.url,
+    }
+)
diff --git a/torchvision/models/inception.py b/torchvision/models/inception.py
index e8eecca5db6..5b89a1e5c9a 100644
--- a/torchvision/models/inception.py
+++ b/torchvision/models/inception.py
@@ -471,3 +471,15 @@ def inception_v3(*, weights: Optional[Inception_V3_Weights] = None, progress: bo
             model.AuxLogits = None
 
     return model
+
+
+# The dictionary below is internal implementation detail and will be removed in v0.15
+from ._utils import _ModelURLs
+
+
+model_urls = _ModelURLs(
+    {
+        # Inception v3 ported from TensorFlow
+        "inception_v3_google": Inception_V3_Weights.IMAGENET1K_V1.url,
+    }
+)
diff --git a/torchvision/models/mobilenetv2.py b/torchvision/models/mobilenetv2.py
index ab7b69ed005..d63ecb01f38 100644
--- a/torchvision/models/mobilenetv2.py
+++ b/torchvision/models/mobilenetv2.py
@@ -263,3 +263,14 @@ def mobilenet_v2(
         model.load_state_dict(weights.get_state_dict(progress=progress))
 
     return model
+
+
+# The dictionary below is internal implementation detail and will be removed in v0.15
+from ._utils import _ModelURLs
+
+
+model_urls = _ModelURLs(
+    {
+        "mobilenet_v2": MobileNet_V2_Weights.IMAGENET1K_V1.url,
+    }
+)
diff --git a/torchvision/models/mobilenetv3.py b/torchvision/models/mobilenetv3.py
index 910e8fbf04b..787526cc1b3 100644
--- a/torchvision/models/mobilenetv3.py
+++ b/torchvision/models/mobilenetv3.py
@@ -414,3 +414,15 @@ def mobilenet_v3_small(
 
     inverted_residual_setting, last_channel = _mobilenet_v3_conf("mobilenet_v3_small", **kwargs)
     return _mobilenet_v3(inverted_residual_setting, last_channel, weights, progress, **kwargs)
+
+
+# The dictionary below is internal implementation detail and will be removed in v0.15
+from ._utils import _ModelURLs
+
+
+model_urls = _ModelURLs(
+    {
+        "mobilenet_v3_large": MobileNet_V3_Large_Weights.IMAGENET1K_V1.url,
+        "mobilenet_v3_small": MobileNet_V3_Small_Weights.IMAGENET1K_V1.url,
+    }
+)
diff --git a/torchvision/models/quantization/googlenet.py b/torchvision/models/quantization/googlenet.py
index 4dbfa8065c3..36ec453a38f 100644
--- a/torchvision/models/quantization/googlenet.py
+++ b/torchvision/models/quantization/googlenet.py
@@ -200,3 +200,16 @@ def googlenet(
             )
 
     return model
+
+
+# The dictionary below is internal implementation detail and will be removed in v0.15
+from .._utils import _ModelURLs
+from ..googlenet import model_urls  # noqa: F401
+
+
+quant_model_urls = _ModelURLs(
+    {
+        # fp32 GoogLeNet ported from TensorFlow, with weights quantized in PyTorch
+        "googlenet_fbgemm": GoogLeNet_QuantizedWeights.IMAGENET1K_FBGEMM_V1.url,
+    }
+)
diff --git a/torchvision/models/quantization/inception.py b/torchvision/models/quantization/inception.py
index ed53d43e8af..e774f4ce155 100644
--- a/torchvision/models/quantization/inception.py
+++ b/torchvision/models/quantization/inception.py
@@ -251,3 +251,16 @@ def inception_v3(
             model.AuxLogits = None
 
     return model
+
+
+# The dictionary below is internal implementation detail and will be removed in v0.15
+from .._utils import _ModelURLs
+from ..inception import model_urls  # noqa: F401
+
+
+quant_model_urls = _ModelURLs(
+    {
+        # fp32 weights ported from TensorFlow, quantized in PyTorch
+        "inception_v3_google_fbgemm": Inception_V3_QuantizedWeights.IMAGENET1K_FBGEMM_V1.url,
+    }
+)
diff --git a/torchvision/models/quantization/mobilenetv2.py b/torchvision/models/quantization/mobilenetv2.py
index bb0bf0b79ed..2d73cc77008 100644
--- a/torchvision/models/quantization/mobilenetv2.py
+++ b/torchvision/models/quantization/mobilenetv2.py
@@ -131,3 +131,15 @@ def mobilenet_v2(
         model.load_state_dict(weights.get_state_dict(progress=progress))
 
     return model
+
+
+# The dictionary below is internal implementation detail and will be removed in v0.15
+from .._utils import _ModelURLs
+from ..mobilenetv2 import model_urls  # noqa: F401
+
+
+quant_model_urls = _ModelURLs(
+    {
+        "mobilenet_v2_qnnpack": MobileNet_V2_QuantizedWeights.IMAGENET1K_QNNPACK_V1.url,
+    }
+)
diff --git a/torchvision/models/quantization/mobilenetv3.py b/torchvision/models/quantization/mobilenetv3.py
index 2d18446c13f..06e8228cdaf 100644
--- a/torchvision/models/quantization/mobilenetv3.py
+++ b/torchvision/models/quantization/mobilenetv3.py
@@ -211,3 +211,15 @@ def mobilenet_v3_large(
 
     inverted_residual_setting, last_channel = _mobilenet_v3_conf("mobilenet_v3_large", **kwargs)
     return _mobilenet_v3_model(inverted_residual_setting, last_channel, weights, progress, quantize, **kwargs)
+
+
+# The dictionary below is internal implementation detail and will be removed in v0.15
+from .._utils import _ModelURLs
+from ..mobilenetv3 import model_urls  # noqa: F401
+
+
+quant_model_urls = _ModelURLs(
+    {
+        "mobilenet_v3_large_qnnpack": MobileNet_V3_Large_QuantizedWeights.IMAGENET1K_QNNPACK_V1.url,
+    }
+)
diff --git a/torchvision/models/quantization/resnet.py b/torchvision/models/quantization/resnet.py
index 23df64c86c0..88d4f1871de 100644
--- a/torchvision/models/quantization/resnet.py
+++ b/torchvision/models/quantization/resnet.py
@@ -362,3 +362,17 @@ def resnext101_64x4d(
     _ovewrite_named_param(kwargs, "groups", 64)
     _ovewrite_named_param(kwargs, "width_per_group", 4)
     return _resnet(QuantizableBottleneck, [3, 4, 23, 3], weights, progress, quantize, **kwargs)
+
+
+# The dictionary below is internal implementation detail and will be removed in v0.15
+from .._utils import _ModelURLs
+from ..resnet import model_urls  # noqa: F401
+
+
+quant_model_urls = _ModelURLs(
+    {
+        "resnet18_fbgemm": ResNet18_QuantizedWeights.IMAGENET1K_FBGEMM_V1.url,
+        "resnet50_fbgemm": ResNet50_QuantizedWeights.IMAGENET1K_FBGEMM_V1.url,
+        "resnext101_32x8d_fbgemm": ResNeXt101_32X8D_QuantizedWeights.IMAGENET1K_FBGEMM_V1.url,
+    }
+)
diff --git a/torchvision/models/quantization/shufflenetv2.py b/torchvision/models/quantization/shufflenetv2.py
index cfbdc5b0c24..90a4f298ac9 100644
--- a/torchvision/models/quantization/shufflenetv2.py
+++ b/torchvision/models/quantization/shufflenetv2.py
@@ -298,3 +298,16 @@ def shufflenet_v2_x2_0(
     return _shufflenetv2(
         [4, 8, 4], [24, 244, 488, 976, 2048], weights=weights, progress=progress, quantize=quantize, **kwargs
     )
+
+
+# The dictionary below is internal implementation detail and will be removed in v0.15
+from .._utils import _ModelURLs
+from ..shufflenetv2 import model_urls  # noqa: F401
+
+
+quant_model_urls = _ModelURLs(
+    {
+        "shufflenetv2_x0.5_fbgemm": ShuffleNet_V2_X0_5_QuantizedWeights.IMAGENET1K_FBGEMM_V1.url,
+        "shufflenetv2_x1.0_fbgemm": ShuffleNet_V2_X1_0_QuantizedWeights.IMAGENET1K_FBGEMM_V1.url,
+    }
+)
diff --git a/torchvision/models/regnet.py b/torchvision/models/regnet.py
index 3e2370fd7b0..2376d13ffe8 100644
--- a/torchvision/models/regnet.py
+++ b/torchvision/models/regnet.py
@@ -1330,3 +1330,27 @@ def regnet_x_32gf(*, weights: Optional[RegNet_X_32GF_Weights] = None, progress:
 
     params = BlockParams.from_init_params(depth=23, w_0=320, w_a=69.86, w_m=2.0, group_width=168, **kwargs)
     return _regnet(params, weights, progress, **kwargs)
+
+
+# The dictionary below is internal implementation detail and will be removed in v0.15
+from ._utils import _ModelURLs
+
+
+model_urls = _ModelURLs(
+    {
+        "regnet_y_400mf": RegNet_Y_400MF_Weights.IMAGENET1K_V1.url,
+        "regnet_y_800mf": RegNet_Y_800MF_Weights.IMAGENET1K_V1.url,
+        "regnet_y_1_6gf": RegNet_Y_1_6GF_Weights.IMAGENET1K_V1.url,
+        "regnet_y_3_2gf": RegNet_Y_3_2GF_Weights.IMAGENET1K_V1.url,
+        "regnet_y_8gf": RegNet_Y_8GF_Weights.IMAGENET1K_V1.url,
+        "regnet_y_16gf": RegNet_Y_16GF_Weights.IMAGENET1K_V1.url,
+        "regnet_y_32gf": RegNet_Y_32GF_Weights.IMAGENET1K_V1.url,
+        "regnet_x_400mf": RegNet_X_400MF_Weights.IMAGENET1K_V1.url,
+        "regnet_x_800mf": RegNet_X_800MF_Weights.IMAGENET1K_V1.url,
+        "regnet_x_1_6gf": RegNet_X_1_6GF_Weights.IMAGENET1K_V1.url,
+        "regnet_x_3_2gf": RegNet_X_3_2GF_Weights.IMAGENET1K_V1.url,
+        "regnet_x_8gf": RegNet_X_8GF_Weights.IMAGENET1K_V1.url,
+        "regnet_x_16gf": RegNet_X_16GF_Weights.IMAGENET1K_V1.url,
+        "regnet_x_32gf": RegNet_X_32GF_Weights.IMAGENET1K_V1.url,
+    }
+)
diff --git a/torchvision/models/resnet.py b/torchvision/models/resnet.py
index 66d3b9d6370..f2910cdc281 100644
--- a/torchvision/models/resnet.py
+++ b/torchvision/models/resnet.py
@@ -853,3 +853,22 @@ def wide_resnet101_2(
 
     _ovewrite_named_param(kwargs, "width_per_group", 64 * 2)
     return _resnet(Bottleneck, [3, 4, 23, 3], weights, progress, **kwargs)
+
+
+# The dictionary below is internal implementation detail and will be removed in v0.15
+from ._utils import _ModelURLs
+
+
+model_urls = _ModelURLs(
+    {
+        "resnet18": ResNet18_Weights.IMAGENET1K_V1.url,
+        "resnet34": ResNet34_Weights.IMAGENET1K_V1.url,
+        "resnet50": ResNet50_Weights.IMAGENET1K_V1.url,
+        "resnet101": ResNet101_Weights.IMAGENET1K_V1.url,
+        "resnet152": ResNet152_Weights.IMAGENET1K_V1.url,
+        "resnext50_32x4d": ResNeXt50_32X4D_Weights.IMAGENET1K_V1.url,
+        "resnext101_32x8d": ResNeXt101_32X8D_Weights.IMAGENET1K_V1.url,
+        "wide_resnet50_2": Wide_ResNet50_2_Weights.IMAGENET1K_V1.url,
+        "wide_resnet101_2": Wide_ResNet101_2_Weights.IMAGENET1K_V1.url,
+    }
+)
diff --git a/torchvision/models/segmentation/deeplabv3.py b/torchvision/models/segmentation/deeplabv3.py
index a961c4e0b2b..57ccc377c2d 100644
--- a/torchvision/models/segmentation/deeplabv3.py
+++ b/torchvision/models/segmentation/deeplabv3.py
@@ -365,3 +365,16 @@ def deeplabv3_mobilenet_v3_large(
         model.load_state_dict(weights.get_state_dict(progress=progress))
 
     return model
+
+
+# The dictionary below is internal implementation detail and will be removed in v0.15
+from .._utils import _ModelURLs
+
+
+model_urls = _ModelURLs(
+    {
+        "deeplabv3_resnet50_coco": DeepLabV3_ResNet50_Weights.COCO_WITH_VOC_LABELS_V1.url,
+        "deeplabv3_resnet101_coco": DeepLabV3_ResNet101_Weights.COCO_WITH_VOC_LABELS_V1.url,
+        "deeplabv3_mobilenet_v3_large_coco": DeepLabV3_MobileNet_V3_Large_Weights.COCO_WITH_VOC_LABELS_V1.url,
+    }
+)
diff --git a/torchvision/models/segmentation/fcn.py b/torchvision/models/segmentation/fcn.py
index 55b60f312d9..fe8c82d8d4d 100644
--- a/torchvision/models/segmentation/fcn.py
+++ b/torchvision/models/segmentation/fcn.py
@@ -212,3 +212,15 @@ def fcn_resnet101(
         model.load_state_dict(weights.get_state_dict(progress=progress))
 
     return model
+
+
+# The dictionary below is internal implementation detail and will be removed in v0.15
+from .._utils import _ModelURLs
+
+
+model_urls = _ModelURLs(
+    {
+        "fcn_resnet50_coco": FCN_ResNet50_Weights.COCO_WITH_VOC_LABELS_V1.url,
+        "fcn_resnet101_coco": FCN_ResNet101_Weights.COCO_WITH_VOC_LABELS_V1.url,
+    }
+)
diff --git a/torchvision/models/segmentation/lraspp.py b/torchvision/models/segmentation/lraspp.py
index f6a0c662cda..bcbba7f14fe 100644
--- a/torchvision/models/segmentation/lraspp.py
+++ b/torchvision/models/segmentation/lraspp.py
@@ -165,3 +165,14 @@ def lraspp_mobilenet_v3_large(
         model.load_state_dict(weights.get_state_dict(progress=progress))
 
     return model
+
+
+# The dictionary below is internal implementation detail and will be removed in v0.15
+from .._utils import _ModelURLs
+
+
+model_urls = _ModelURLs(
+    {
+        "lraspp_mobilenet_v3_large_coco": LRASPP_MobileNet_V3_Large_Weights.COCO_WITH_VOC_LABELS_V1.url,
+    }
+)
diff --git a/torchvision/models/shufflenetv2.py b/torchvision/models/shufflenetv2.py
index dc8efbc670d..ec7d59817ab 100644
--- a/torchvision/models/shufflenetv2.py
+++ b/torchvision/models/shufflenetv2.py
@@ -374,3 +374,17 @@ def shufflenet_v2_x2_0(
     weights = ShuffleNet_V2_X2_0_Weights.verify(weights)
 
     return _shufflenetv2(weights, progress, [4, 8, 4], [24, 244, 488, 976, 2048], **kwargs)
+
+
+# The dictionary below is internal implementation detail and will be removed in v0.15
+from ._utils import _ModelURLs
+
+
+model_urls = _ModelURLs(
+    {
+        "shufflenetv2_x0.5": ShuffleNet_V2_X0_5_Weights.IMAGENET1K_V1.url,
+        "shufflenetv2_x1.0": ShuffleNet_V2_X1_0_Weights.IMAGENET1K_V1.url,
+        "shufflenetv2_x1.5": None,
+        "shufflenetv2_x2.0": None,
+    }
+)
diff --git a/torchvision/models/squeezenet.py b/torchvision/models/squeezenet.py
index c01b4d576d6..afe9c18887f 100644
--- a/torchvision/models/squeezenet.py
+++ b/torchvision/models/squeezenet.py
@@ -213,3 +213,15 @@ def squeezenet1_1(
     """
     weights = SqueezeNet1_1_Weights.verify(weights)
     return _squeezenet("1_1", weights, progress, **kwargs)
+
+
+# The dictionary below is internal implementation detail and will be removed in v0.15
+from ._utils import _ModelURLs
+
+
+model_urls = _ModelURLs(
+    {
+        "squeezenet1_0": SqueezeNet1_0_Weights.IMAGENET1K_V1.url,
+        "squeezenet1_1": SqueezeNet1_1_Weights.IMAGENET1K_V1.url,
+    }
+)
diff --git a/torchvision/models/vgg.py b/torchvision/models/vgg.py
index 68cbae7957d..6b82f90d58b 100644
--- a/torchvision/models/vgg.py
+++ b/torchvision/models/vgg.py
@@ -461,3 +461,21 @@ def vgg19_bn(*, weights: Optional[VGG19_BN_Weights] = None, progress: bool = Tru
     weights = VGG19_BN_Weights.verify(weights)
 
     return _vgg("E", True, weights, progress, **kwargs)
+
+
+# The dictionary below is internal implementation detail and will be removed in v0.15
+from ._utils import _ModelURLs
+
+
+model_urls = _ModelURLs(
+    {
+        "vgg11": VGG11_Weights.IMAGENET1K_V1.url,
+        "vgg13": VGG13_Weights.IMAGENET1K_V1.url,
+        "vgg16": VGG16_Weights.IMAGENET1K_V1.url,
+        "vgg19": VGG19_Weights.IMAGENET1K_V1.url,
+        "vgg11_bn": VGG11_BN_Weights.IMAGENET1K_V1.url,
+        "vgg13_bn": VGG13_BN_Weights.IMAGENET1K_V1.url,
+        "vgg16_bn": VGG16_BN_Weights.IMAGENET1K_V1.url,
+        "vgg19_bn": VGG19_BN_Weights.IMAGENET1K_V1.url,
+    }
+)
diff --git a/torchvision/models/video/resnet.py b/torchvision/models/video/resnet.py
index 5b0d7d99bca..320df6576ac 100644
--- a/torchvision/models/video/resnet.py
+++ b/torchvision/models/video/resnet.py
@@ -463,3 +463,16 @@ def r2plus1d_18(*, weights: Optional[R2Plus1D_18_Weights] = None, progress: bool
         progress,
         **kwargs,
     )
+
+
+# The dictionary below is internal implementation detail and will be removed in v0.15
+from .._utils import _ModelURLs
+
+
+model_urls = _ModelURLs(
+    {
+        "r3d_18": R3D_18_Weights.KINETICS400_V1.url,
+        "mc3_18": MC3_18_Weights.KINETICS400_V1.url,
+        "r2plus1d_18": R2Plus1D_18_Weights.KINETICS400_V1.url,
+    }
+)
diff --git a/torchvision/models/vision_transformer.py b/torchvision/models/vision_transformer.py
index 60ad2d4924a..e672721be65 100644
--- a/torchvision/models/vision_transformer.py
+++ b/torchvision/models/vision_transformer.py
@@ -746,3 +746,17 @@ def interpolate_embeddings(
             model_state = model_state_copy
 
     return model_state
+
+
+# The dictionary below is internal implementation detail and will be removed in v0.15
+from ._utils import _ModelURLs
+
+
+model_urls = _ModelURLs(
+    {
+        "vit_b_16": ViT_B_16_Weights.IMAGENET1K_V1.url,
+        "vit_b_32": ViT_B_32_Weights.IMAGENET1K_V1.url,
+        "vit_l_16": ViT_L_16_Weights.IMAGENET1K_V1.url,
+        "vit_l_32": ViT_L_32_Weights.IMAGENET1K_V1.url,
+    }
+)