Jan 5 & 6, 2025

• Patch Release 1.0.24 (fix for 1.0.23)
• Add new benchmark result csv files for inference timing on all models w/ RTX Pro 6000, 5090, and 4090 cards w/ PyTorch 2.9.1
• Fix moved module error in deprecated timm.models.layers import path that impacts legacy imports
• Release 1.0.23

Dec 30, 2025

• Add better NAdaMuon trained dpwee, dwee, dlittle (differential) ViTs with a small boost over previous runs
  • https://huggingface.co/timm/vit_dlittle_patch16_reg1_gap_256.sbb_nadamuon_in1k (83.24% top-1)
  • https://huggingface.co/timm/vit_dwee_patch16_reg1_gap_256.sbb_nadamuon_in1k (81.80% top-1)
  • https://huggingface.co/timm/vit_dpwee_patch16_reg1_gap_256.sbb_nadamuon_in1k (81.67% top-1)
• Add a ~21M param timm variant of the CSATv2 model at 512x512 & 640x640
  • https://huggingface.co/timm/csatv2_21m.sw_r640_in1k (83.13% top-1)
  • https://huggingface.co/timm/csatv2_21m.sw_r512_in1k (82.58% top-1)
• Factor non-persistent param init out of __init__ into a common method that can be externally called via init_non_persistent_buffers() after meta-device init.

Dec 12, 2025

• Add CSATV2 model (thanks https://github.com/gusdlf93) -- a lightweight but high res model with DCT stem & spatial attention. https://huggingface.co/Hyunil/CSATv2
• Add AdaMuon and NAdaMuon optimizer support to existing timm Muon impl. Appears more competitive vs AdamW with familiar hparams for image tasks.
• End of year PR cleanup, merge aspects of several long open PR
  • Merge differential attention (DiffAttention), add corresponding DiffParallelScalingBlock (for ViT), train some wee vits
    • https://huggingface.co/timm/vit_dwee_patch16_reg1_gap_256.sbb_in1k
    • https://huggingface.co/timm/vit_dpwee_patch16_reg1_gap_256.sbb_in1k
  • Add a few pooling modules, LsePlus and SimPool
  • Cleanup, optimize DropBlock2d (also add support to ByobNet based models)
• Bump unit tests to PyTorch 2.9.1 + Python 3.13 on upper end, lower still PyTorch 1.13 + Python 3.10

Dec 1, 2025

• Add lightweight task abstraction, add logits and feature distillation support to train script via new tasks.
• Remove old APEX AMP support

What's Changed

• Add val-interval argument by @t0278611 in https://github.com/huggingface/pytorch-image-models/pull/2606
• Add coord attn and some variants that I had lying around by @rwightman in https://github.com/huggingface/pytorch-image-models/pull/2617
• Distill fixups by @rwightman in https://github.com/huggingface/pytorch-image-models/pull/2598
• A simplification and some fixes for DropBlock2d. by @rwightman in https://github.com/huggingface/pytorch-image-models/pull/2620
• Other pooling... by @rwightman in https://github.com/huggingface/pytorch-image-models/pull/2621
• Experimenting with differential attention by @rwightman in https://github.com/huggingface/pytorch-image-models/pull/2314
• Differential + parallel attn by @rwightman in https://github.com/huggingface/pytorch-image-models/pull/2625
• AdaMuon impl w/ a few other ideas based on recent reading by @rwightman in https://github.com/huggingface/pytorch-image-models/pull/2626
• Csatv2 contribution by @rwightman in https://github.com/huggingface/pytorch-image-models/pull/2627
• Add HParams sections to hfdocs by @rwightman in https://github.com/huggingface/pytorch-image-models/pull/2630
• Upgrade GitHub Actions for Node 24 compatibility by @salmanmkc in https://github.com/huggingface/pytorch-image-models/pull/2633
• [BUG] Modify autocasting in fast normalization functions to handle optional weight params safely by @tesfaldet in https://github.com/huggingface/pytorch-image-models/pull/2631
• 'init_non_persistent_buffers' scheme by @rwightman in https://github.com/huggingface/pytorch-image-models/pull/2632
• Add docstrings to layer helper functions and modules by @raimbekovm in https://github.com/huggingface/pytorch-image-models/pull/2634
• refactor(scheduler): add type hints to CosineLRScheduler by @haru-256 in https://github.com/huggingface/pytorch-image-models/pull/2640
• A few misc weights to close out 2025 by @rwightman in https://github.com/huggingface/pytorch-image-models/pull/2639
• Update typing in other scheduler classes. Add unit tests. by @rwightman in https://github.com/huggingface/pytorch-image-models/pull/2641

New Contributors

• @t0278611 made their first contribution in https://github.com/huggingface/pytorch-image-models/pull/2606
• @salmanmkc made their first contribution in https://github.com/huggingface/pytorch-image-models/pull/2633
• @tesfaldet made their first contribution in https://github.com/huggingface/pytorch-image-models/pull/2631
• @raimbekovm made their first contribution in https://github.com/huggingface/pytorch-image-models/pull/2634
• @haru-256 made their first contribution in https://github.com/huggingface/pytorch-image-models/pull/2640

Full Changelog: https://github.com/huggingface/pytorch-image-models/compare/v1.0.22...v1.0.24