build(deps): bump timm from 1.0.24 to 1.0.25 by dependabot[bot] · Pull Request #475 · Unstructured-IO/unstructured-inference

Bumps timm from 1.0.24 to 1.0.25.

Release notes

Sourced from timm's releases.

Release v1.0.25

Feb 23, 2026

  • Add token distillation training support to distillation task wrappers
  • Remove some torch.jit usage in prep for official deprecation
  • Caution added to AdamP optimizer
  • Call reset_parameters() even if meta-device init so that buffers get init w/ hacks like init_empty_weights
  • Tweak Muon optimizer to work with DTensor/FSDP2 (clamp_ instead of clamp_min_, alternate NS branch for DTensor)
  • Release 1.0.25

Jan 21, 2026

  • Compat Break: Fix oversight w/ QKV vs MLP bias in ParallelScalingBlock (& DiffParallelScalingBlock)
    • Does not impact any trained timm models but could impact downstream use.

What's Changed

New Contributors

Full Changelog: huggingface/pytorch-image-models@v1.0.24...v1.0.25

Commits
  • 9326ff2 Release 1.0.25
  • 75684fa Add DTensor compatible NS impl for Muon
  • feed46c Change clamp_min_ to clamp_(min=) as former doesn't work with DTensor / FSDP2...
  • 56467ad fix(optim): replace bare except with Exception in Lion optimizer
  • 41754f2 Fix #2661 ... don't skip reset_parameters/init when meta device detected as i...
  • bdab30b Remove torch.jit calls except for .ignore and .is_scripting to avoid 2.11 dep...
  • 9171d82 Enhance the numerical stability of the Cautious Optimizer
  • 17b9764 Add the test of cadamp
  • ba85080 Add cadamp optimizer to optimization factory
  • a3643d2 Adding the cautious optimizer and the spherical cautious optimizer
  • Additional commits viewable in compare view

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