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A new 
A new 
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`timm`
timm
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 release (1.0.11) is out now. A also wrote an article on one of the included models: 
 release (1.0.11) is out now. A also wrote an article on one of the included models: 
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https://huggingface.co/blog/rwightman/mambaout
https://huggingface.co/blog/rwightman/mambaout
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Featured in the release are:
Featured in the release are:
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  * The MambaOut model, a cheeky arch inspired by SSM but without the SSM part, a ConvNeXt with gating.
  * The MambaOut model, a cheeky arch inspired by SSM but without the SSM part, a ConvNeXt with gating.
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  * Several timm trained MambaOut variations with arch tweaks and ImageNet-12k pretrain to verify scaling, supplement ported weights.
  * Several timm trained MambaOut variations with arch tweaks and ImageNet-12k pretrain to verify scaling, supplement ported weights.
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  * The smallest MobileNetV4, a 0.5x width scaled Conv-Small.
  * The smallest MobileNetV4, a 0.5x width scaled Conv-Small.
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  * Two impressive MobileNetV3 Large models outperforming all previous, using MNV4 Small recipe.
  * Two impressive MobileNetV3 Large models outperforming all previous, using MNV4 Small recipe.
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  * 'Zepto,' a new compact ConvNeXt variant even smaller than the previous Atto, 2.2M params, RMSNorm, and solid results for its size.
  * 'Zepto,' a new compact ConvNeXt variant even smaller than the previous Atto, 2.2M params, RMSNorm, and solid results for its size.
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  * Newly ported SigLIP SO400M/16 ViT multi-lingual weights, the largest i18n weights, prevous was B/16.
  * Newly ported SigLIP SO400M/16 ViT multi-lingual weights, the largest i18n weights, prevous was B/16.
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  * Two ImageNet-1k fine-tuned SigLIP SO400M models at 378x378
  * Two ImageNet-1k fine-tuned SigLIP SO400M models at 378x378
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  * InternViT 300M weight port. A really solid ViT encoder distilled from OpenGVLab 6B VL model encoder.
  * InternViT 300M weight port. A really solid ViT encoder distilled from OpenGVLab 6B VL model encoder.
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  * An assortment of very small, sub 1M param pretrained test models to improve library unit tests and serve low-resource applications.
  * An assortment of very small, sub 1M param pretrained test models to improve library unit tests and serve low-resource applications.
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A new `timm` release (1.0.11) is out now. A also wrote an article on one of the included models: https://huggingface.co/blog/rwightman/mambaout

Featured in the release are:
  * The MambaOut model, a cheeky arch inspired by SSM but without the SSM part, a ConvNeXt with gating.
  * Several timm trained MambaOut variations with arch tweaks and ImageNet-12k pretrain to verify scaling, supplement ported weights.
  * The smallest MobileNetV4, a 0.5x width scaled Conv-Small.
  * Two impressive MobileNetV3 Large models outperforming all previous, using MNV4 Small recipe.
  * 'Zepto,' a new compact ConvNeXt variant even smaller than the previous Atto, 2.2M params, RMSNorm, and solid results for its size.
  * Newly ported SigLIP SO400M/16 ViT multi-lingual weights, the largest i18n weights, prevous was B/16.
  * Two ImageNet-1k fine-tuned SigLIP SO400M models at 378x378
  * InternViT 300M weight port. A really solid ViT encoder distilled from OpenGVLab 6B VL model encoder.
  * An assortment of very small, sub 1M param pretrained test models to improve library unit tests and serve low-resource applications.

👀
John6666