optimizers · nvidia

LARS

Layer-wise Adaptive Rate Scaling (You et al., 2017). Enables very large-batch SGD training of CNNs without accuracy loss.

Verify

What this registry has checked

Quarantine. We hold the publisher’s own published hash for these weights and have recorded it against this entry. We have not downloaded and hashed the weights ourselves, so the hash is the publisher’s claim, not our measurement.

Weight file SHA-256	ddfdfcdfbbc99bb426a0c97f211fd1d4f85e22ead03aa3de2f443b6cc51d5119

Re-check this yourself → Source → Full record →

What is recorded

Publisher	nvidia
Origin	United States
Licence	BSD-3-Clause
Pulls recorded here	18,502

Elsewhere in the registry

All optimizers → Browse with filters → What will run on my hardware? →

Registry record as of 2026-06-06. Identity, licence and parameter count are properties of a release and do not move; tier can, and the verify link above re-checks it against the live registry rather than this page.