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## What's New
## May 28, 2025
* Add a number of small/fast models thanks to https://github.com/brianhou0208
* SwiftFormer - [(ICCV2023) SwiftFormer: Efficient Additive Attention for Transformer-based Real-time Mobile Vision Applications](https://github.com/Amshaker/SwiftFormer)
* FasterNet - [(CVPR2023) Run, Don’t Walk: Chasing Higher FLOPS for Faster Neural Networks](https://github.com/JierunChen/FasterNet)
* SHViT - [(CVPR2024) SHViT: Single-Head Vision Transformer with Memory Efficient](https://github.com/ysj9909/SHViT)
* StarNet - [(CVPR2024) Rewrite the Stars](https://github.com/ma-xu/Rewrite-the-Stars)
* GhostNet-V3 [GhostNetV3: Exploring the Training Strategies for Compact Models](https://github.com/huawei-noah/Efficient-AI-Backbones/tree/master/ghostnetv3_pytorch)
* Update EVA ViT (closest match) to support Perception Encoder models (https://arxiv.org/abs/2504.13181) from Meta, loading Hub weights but I still need to push dedicated `timm` weights
* Add some flexibility to ROPE impl
* Big increase in number of models supporting `forward_intermediates()` and some additional fixes thanks to https://github.com/brianhou0208
* DaViT, EdgeNeXt, EfficientFormerV2, EfficientViT(MIT), EfficientViT(MSRA), FocalNet, GCViT, HGNet /V2, InceptionNeXt, Inception-V4, MambaOut, MetaFormer, NesT, Next-ViT, PiT, PVT V2, RepGhostNet, RepViT, ResNetV2, ReXNet, TinyViT, TResNet, VoV
* TNT model updated w/ new weights `forward_intermediates()` thanks to https://github.com/brianhou0208
* Add `local-dir:` pretrained schema, can use `local-dir:/path/to/model/folder` for model name to source model / pretrained cfg & weights Hugging Face Hub models (config.json + weights file) from a local folder.
* Fixes, improvements for onnx export
## Feb 21, 2025
* SigLIP 2 ViT image encoders added (https://huggingface.co/collections/timm/siglip-2-67b8e72ba08b09dd97aecaf9)
* Variable resolution / aspect NaFlex versions are a WIP