⬆️ Bump timm from 1.0.16 to 1.0.21

[dependabot]

Bumps timm from 1.0.16 to 1.0.21.

Release notes

Sourced from timm's releases.

Release v1.0.21

Oct 16-20, 2025

• Add an impl of the Muon optimizer (based on https://github.com/KellerJordan/Muon) with customizations
  • extra flexibility and improved handling for conv weights and fallbacks for weight shapes not suited for orthogonalization
  • small speedup for NS iterations by reducing allocs and using fused (b)add(b)mm ops
  • by default uses AdamW (or NAdamW if nesterov=True) updates if muon not suitable for parameter shape (or excluded via param group flag)
  • like torch impl, select from several LR scale adjustment fns via adjust_lr_fn
  • select from several NS coefficient presets or specify your own via ns_coefficients
• First 2 steps of 'meta' device model initialization supported
  • Fix several ops that were breaking creation under 'meta' device context
  • Add device & dtype factory kwarg support to all models and modules (anything inherting from nn.Module) in timm
• License fields added to pretrained cfgs in code
• Release 1.0.21

What's Changed

• Add calculate_drop_path_rates helper by @​rwightman in huggingface/pytorch-image-models#2589
• Review huggingface_hub integration by @​Wauplin in huggingface/pytorch-image-models#2592
• Adding device/dtype factory_kwargs to modules and models by @​rwightman in huggingface/pytorch-image-models#2591
• Consistent license handling throughout timm by @​alexanderdann in huggingface/pytorch-image-models#2585
• Add impl of Muon optimizer. Fix #2580 by @​rwightman in huggingface/pytorch-image-models#2596
• Rename 'simple' flag for Muon to 'fallback' by @​rwightman in huggingface/pytorch-image-models#2599

New Contributors

• @​alexanderdann made their first contribution in huggingface/pytorch-image-models#2585

Full Changelog: huggingface/pytorch-image-models@v1.0.20...v1.0.21

Release v1.0.20

Sept 21, 2025

• Remap DINOv3 ViT weight tags from lvd_1689m -> lvd1689m to match (same for sat_493m -> sat493m)
• Release 1.0.20

Sept 17, 2025

• DINOv3 (https://arxiv.org/abs/2508.10104) ConvNeXt and ViT models added. ConvNeXt models were mapped to existing timm model. ViT support done via the EVA base model w/ a new RotaryEmbeddingDinoV3 to match the DINOv3 specific RoPE impl
  • HuggingFace Hub: https://huggingface.co/collections/timm/timm-dinov3-68cb08bb0bee365973d52a4d
• MobileCLIP-2 (https://arxiv.org/abs/2508.20691) vision encoders. New MCI3/MCI4 FastViT variants added and weights mapped to existing FastViT and B, L/14 ViTs.
• MetaCLIP-2 Worldwide (https://arxiv.org/abs/2507.22062) ViT encoder weights added.
• SigLIP-2 (https://arxiv.org/abs/2502.14786) NaFlex ViT encoder weights added via timm NaFlexViT model.
• Misc fixes and contributions

What's Changed

• Pass init_values at hieradet_sam2 by @​hassonofer in huggingface/pytorch-image-models#2559
• Add mobileclip2 encoder weights by @​rwightman in huggingface/pytorch-image-models#2560
• Add support for Gemma 3n MobileNetV5 encoder weight loading by @​rwightman in huggingface/pytorch-image-models#2561
• Fix #2562, add siglip2 naflex vit encoder weights by @​rwightman in huggingface/pytorch-image-models#2564
• fix: create results_dir if missing before saving results by @​zhima771 in huggingface/pytorch-image-models#2576
• feat(validate): add precision, recall, and F1 metrics by @​ha405 in huggingface/pytorch-image-models#2568
• Allow user to ask for features other than image and label in ImageDataset by @​grodino in huggingface/pytorch-image-models#2571
• Add MobileCLIP2 image encoders by @​rwightman in huggingface/pytorch-image-models#2578
• Add DINOv3 support by @​rwightman in huggingface/pytorch-image-models#2579

... (truncated)

Commits

• 625386b Release 1.0.21
• cebc007 Rename 'simple' flag for Muon to 'fallback', add support for inverted 'use_mu...
• d8b4c34 Update README.md
• a501499 Remove nesterov=True default for Muon, make a 'nmuon' name that maps to Muon ...
• e32ba5d Add more advanced heuristics for determining muon optimization suitability fo...
• 0001522 Re-order decay/no-decay groups to match old order and pass existing test. Cha...
• bfd490e Fixed type in param group helpers
• 94bdadb Add impl of Muon optimizer. Fix #2580
• f9dadde Split TypeVar/TypeAlias imports so fallback works more reliabily in old Python
• a162e8a Fix type anno for Python 3.9
• Additional commits viewable in compare view

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