diff --git a/timm/models/mobilenetv3.py b/timm/models/mobilenetv3.py
index 8aa1acb0..ec820aec 100644
--- a/timm/models/mobilenetv3.py
+++ b/timm/models/mobilenetv3.py
@@ -1045,6 +1045,14 @@ default_cfgs = generate_default_cfgs({
     'mobilenetv4_conv_blur_medium.e500_r224_in1k': _cfg(
         hf_hub_id='timm/',
         crop_pct=0.95, test_input_size=(3, 256, 256), test_crop_pct=1.0, interpolation='bicubic'),
+    'mobilenetv4_conv_aa_large.e600_r384_in1k': _cfg(
+        # hf_hub_id='timm/',
+        input_size=(3, 384, 384), pool_size=(12, 12),
+        crop_pct=0.95, test_input_size=(3, 448, 448), test_crop_pct=1.0, interpolation='bicubic'),
+    'mobilenetv4_conv_blur_large.e600_r384_in1k': _cfg(
+        # hf_hub_id='timm/',
+        input_size=(3, 384, 384), pool_size=(12, 12),
+        crop_pct=0.95, test_input_size=(3, 448, 448), test_crop_pct=1.0, interpolation='bicubic'),
     'mobilenetv4_hybrid_medium_075.untrained': _cfg(
         # hf_hub_id='timm/',
         crop_pct=0.95, interpolation='bicubic'),
@@ -1256,6 +1264,20 @@ def mobilenetv4_conv_blur_medium(pretrained: bool = False, **kwargs) -> MobileNe
     return model
 
 
+@register_model
+def mobilenetv4_conv_aa_large(pretrained: bool = False, **kwargs) -> MobileNetV3:
+    """ MobileNet V4 w/ AvgPool AA """
+    model = _gen_mobilenet_v4('mobilenetv4_conv_aa_large', 1.0, pretrained=pretrained, aa_layer='avg', **kwargs)
+    return model
+
+
+@register_model
+def mobilenetv4_conv_blur_large(pretrained: bool = False, **kwargs) -> MobileNetV3:
+    """ MobileNet V4 Conv w/ Blur AA """
+    model = _gen_mobilenet_v4('mobilenetv4_conv_blur_large', 1.0, pretrained=pretrained, aa_layer='blurpc', **kwargs)
+    return model
+
+
 @register_model
 def mobilenetv4_hybrid_medium_075(pretrained: bool = False, **kwargs) -> MobileNetV3:
     """ MobileNet V4 Hybrid """