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Release 1.0.21
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README.md

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## What's New
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## Oct 16, 2025
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## Oct 16-20, 2025
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* Add an impl of the Muon optimizer (based on https://github.com/KellerJordan/Muon) with customizations
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* extra flexibility and improved handling for conv weights and fallbacks for weight shapes not suited for orthogonalization
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* small speedup for NS iterations by reducing allocs and using fused (b)add(b)mm ops
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* by default uses AdamW (or NAdamW if `nesterov=True`) updates if muon not suitable for parameter shape (or excluded via param group flag)
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* like torch impl, select from several LR scale adjustment fns via `adjust_lr_fn`
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* select from several NS coefficient presets or specify your own via `ns_coefficients`
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* First 2 steps of 'meta' device model initalization supported
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* First 2 steps of 'meta' device model initialization supported
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* Fix several ops that were breaking creation under 'meta' device context
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* Add device & dtype factory kwarg support to all models and modules (anything inherting from nn.Module) in `timm`
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* License fields added to pretrained cfgs in code
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* Release 1.0.21
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## Sept 21, 2025
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* Remap DINOv3 ViT weight tags from `lvd_1689m` -> `lvd1689m` to match (same for `sat_493m` -> `sat493m`)

timm/version.py

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__version__ = '1.0.21.dev0'
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__version__ = '1.0.21'

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