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MuonGS: Pretraining LLMs with Relaxed Weight-Norm Control

Glentis, Athanasios et al.
arXiv (All) · Papers
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artificial-intelligencemachine-learningoptimization-and-control
Weight decay and explicit weight-norm constraints improve optimizer performance in language model pretraining, yet a unified understanding of why such control helps and how much is needed remains incomplete. We analyze norm control in Muon over the entire training trajectory using the \emph{accumula
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