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Mike Chrzanowski

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Jul 2026

SOAP, Muon, and Beyond: Pushing LLM Pretraining Scales

This work adapt and enhance preconditioned gradient methods to overcome the practical challenges of large-scale LLM pretraining and proposes algorithmic modifications including per-step QR orthogonalization and improved preconditioning strategies to enable stable training in these regimes.

Mikail Khona, Aditya Vavre, Boxiang Wang et al. · 0 citations

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