PyTorch Image Models Files

September 22, 2026

• Add Qwen-Drive-1.0-4B vision tower weights.
• Fix prefetch loader stream reuse/synchronization and AugMix for non-square and single-band images.
• Fix AdaMuon conv LR scaling, AdafactorBigVision clipping, MARS gradient history, and Kron checkpoint loading.
• Fix stale eval attention bias caches, pruned model feature metadata, dilated max-pool padding, and asymmetric loss gradient mode.
• Release 1.0.30

September 10-11, 2026

• Add Qwen3-VL / Qwen3.5 / Qwen3.8 ViT classifier and encoder variants, including classifiers w/ and w/o the native spatial merger.
• Add Sapiens2 ViTs with EVA and NaFlexViT support. Both model additions include native timm Hub weights. Thanks Yonghye Kwon.
• Add iFormer with native timm Hub weights. Thanks Ryan Hou.
• Add EfficientViM with native timm Hub weights. Thanks smellslikeml.
• Add DeepSeek-V4 / V4.1 ViT classifiers and encoders with native timm Hub weights. Thanks Yonghye Kwon.
• Switch default NaFlex SigLIP position interpolation, inference.py input-size selection, and improve --model-kwargs parsing.
• Fix meta-device construction and device/dtype factory support for a few models; move config tests to meta for faster CI, meta context coverage.

What's Changed

• Fix ParseKwargs crash on a --model-kwargs value containing '=' or a non-literal by @winklemad in https://github.com/huggingface/pytorch-image-models/pull/2758
• Sapiens2 by @rwightman in https://github.com/huggingface/pytorch-image-models/pull/2768
• Add Sapiens2 (Meta human-centric ViT) to Eva: GQA, attn-only LayerScale, 5 model defs by @developer0hye in https://github.com/huggingface/pytorch-image-models/pull/2763
• Fix inference test-time preprocessing defaults by @Pdevadiga45 in https://github.com/huggingface/pytorch-image-models/pull/2769
• Qwen3 vit by @rwightman in https://github.com/huggingface/pytorch-image-models/pull/2771
• Add Qwen3.5 / Qwen3.8 (Qwen3-VL) vision encoder as qwen3_vit by @developer0hye in https://github.com/huggingface/pytorch-image-models/pull/2765
• Integrate iformer & efficientvim by @rwightman in https://github.com/huggingface/pytorch-image-models/pull/2776
• Add iFormer by @brianhou0208 in https://github.com/huggingface/pytorch-image-models/pull/2757
• Add EfficientViM by @smellslikeml in https://github.com/huggingface/pytorch-image-models/pull/2767
• Integrate deepseek vit by @rwightman in https://github.com/huggingface/pytorch-image-models/pull/2777
• Add DeepSeek-V4 / V4.1 vision encoder as deepseek_vit by @developer0hye in https://github.com/huggingface/pytorch-image-models/pull/2775
• Fix models that cannot be created with 'meta' device context. by @rwightman in https://github.com/huggingface/pytorch-image-models/pull/2778
• Fix [#2781], CUDA stream allocation by @rwightman in https://github.com/huggingface/pytorch-image-models/pull/2784
• fix augmix mixing buffer shape for non-square and single-band images by @caiotheodoro in https://github.com/huggingface/pytorch-image-models/pull/2783
• chore: enable Dependabot weekly GitHub Actions bumps by @hf-dependantbot-rollout[bot] in https://github.com/huggingface/pytorch-image-models/pull/2703
• Bump the actions group with 7 updates by @dependabot[bot] in https://github.com/huggingface/pytorch-image-models/pull/2787
• Preserve caller gradient mode in AsymmetricLossMultiLabel by @TomasGuija in https://github.com/huggingface/pytorch-image-models/pull/2760
• Add Qwen-Drive-1.0-4B vision tower as a qwen3_vit pretrained tag by @developer0hye in https://github.com/huggingface/pytorch-image-models/pull/2774
• Copy the previous gradient in Mars instead of keeping a reference to p.grad by @Nicholas022400701 in https://github.com/huggingface/pytorch-image-models/pull/2786
• Fix SAME padding for dilated max pooling by @trueoneplusone in https://github.com/huggingface/pytorch-image-models/pull/2779
• Fix feature_info channels for pruned models (#2370) by @rwightman in https://github.com/huggingface/pytorch-image-models/pull/2789
• Fix RMS clipping direction in AdafactorBigVision by @Nicholas022400701 in https://github.com/huggingface/pytorch-image-models/pull/2790
• Fix AdaMuon LR scale for conv weights by @Nicholas022400701 in https://github.com/huggingface/pytorch-image-models/pull/2791
• Fix shadowed Kron setstate so loaded checkpoints get corrected_weight_decay by @Nicholas022400701 in https://github.com/huggingface/pytorch-image-models/pull/2792
• Clear the eval-mode attention bias cache on every train()/eval() call by @YHC66 in https://github.com/huggingface/pytorch-image-models/pull/2795

New Contributors

• @Pdevadiga45 made their first contribution in https://github.com/huggingface/pytorch-image-models/pull/2769
• @smellslikeml made their first contribution in https://github.com/huggingface/pytorch-image-models/pull/2767
• @caiotheodoro made their first contribution in https://github.com/huggingface/pytorch-image-models/pull/2783
• @hf-dependantbot-rollout[bot] made their first contribution in https://github.com/huggingface/pytorch-image-models/pull/2703
• @TomasGuija made their first contribution in https://github.com/huggingface/pytorch-image-models/pull/2760
• @Nicholas022400701 made their first contribution in https://github.com/huggingface/pytorch-image-models/pull/2786
• @trueoneplusone made their first contribution in https://github.com/huggingface/pytorch-image-models/pull/2779
• @YHC66 made their first contribution in https://github.com/huggingface/pytorch-image-models/pull/2795

Full Changelog: https://github.com/huggingface/pytorch-image-models/compare/v1.0.29...v1.0.30