github huggingface/pytorch-image-models v1.0.30
Release v1.0.30

4 hours ago

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

New Contributors

Full Changelog: v1.0.29...v1.0.30

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