diff --git a/timm/models/mlp_mixer.py b/timm/models/mlp_mixer.py
index 248568fc..87edbfd6 100644
--- a/timm/models/mlp_mixer.py
+++ b/timm/models/mlp_mixer.py
@@ -60,6 +60,15 @@ default_cfgs = dict(
         url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-vitjx/jx_mixer_l16_224_in21k-846aa33c.pth',
         num_classes=21843
     ),
+    # Mixer ImageNet-21K-P pretraining
+    mixer_b16_224_miil_in21k=_cfg(
+    url='https://miil-public-eu.oss-eu-central-1.aliyuncs.com/model-zoo/ImageNet_21K_P/models/timm/mixer_b16_224_miil_in21k.pth',
+    mean=(0, 0, 0), std=(1, 1, 1), crop_pct=0.875, interpolation='bilinear', num_classes=11221,
+    ),
+    mixer_b16_224_miil=_cfg(
+    url='https://miil-public-eu.oss-eu-central-1.aliyuncs.com/model-zoo/ImageNet_21K_P/models/timm/mixer_b16_224_miil.pth',
+    mean=(0, 0, 0), std=(1, 1, 1), crop_pct=0.875, interpolation='bilinear',
+    ),
 )
 
 
@@ -255,3 +264,21 @@ def mixer_l16_224_in21k(pretrained=False, **kwargs):
     model_args = dict(patch_size=16, num_blocks=24, hidden_dim=1024, tokens_dim=512, channels_dim=4096, **kwargs)
     model = _create_mixer('mixer_l16_224_in21k', pretrained=pretrained, **model_args)
     return model
+
+@register_model
+def mixer_b16_224_miil(pretrained=False, **kwargs):
+    """ Mixer-B/16 224x224. ImageNet-21k pretrained weights.
+    Weights taken from: https://github.com/Alibaba-MIIL/ImageNet21K
+    """
+    model_args = dict(patch_size=16, num_blocks=12, hidden_dim=768, tokens_dim=384, channels_dim=3072, **kwargs)
+    model = _create_mixer('mixer_b16_224_miil', pretrained=pretrained, **model_args)
+    return model
+
+@register_model
+def mixer_b16_224_miil_in21k(pretrained=False, **kwargs):
+    """ Mixer-B/16 224x224. ImageNet-1k pretrained weights.
+    Weights taken from: https://github.com/Alibaba-MIIL/ImageNet21K
+    """
+    model_args = dict(patch_size=16, num_blocks=12, hidden_dim=768, tokens_dim=384, channels_dim=3072, **kwargs)
+    model = _create_mixer('mixer_b16_224_miil_in21k', pretrained=pretrained, **model_args)
+    return model
\ No newline at end of file