def convmixer_768_32(pretrained=False, **kwargs):
    model_args = dict(dim=768, depth=32, kernel_size=7, patch_size=7, activation=nn.ReLU, **kwargs)
    return _create_convmixer('convmixer_768_32', pretrained, **model_args)