def METHOD_NAME(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