Unverified50% confidenceFactExact time
The paper proposes an optimizer method called MuonGS that accelerates LLM pretraining by relaxing weight norm control.
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10/28/2026
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UnverifiedUnder long training cycles, MuonGS outperforms MuonH on validation perplexity.74% similarUnverifiedThe original Muon optimizer can only achieve logarithmic growth in the cumulative effective learning rate during training, which may limit the model's exploration capability.73% similarUnverifiedMUON优化器替代了沿用多年的AdamW优化器，通过引入矩阵正交化步骤使训练曲线更加平滑72% similarUnverifiedZGCM-1 uses a stable FP8 Muon optimizer, combining the Muon optimizer with FP8 low-precision training while maintaining training stability.72% similarUnverifiedThe automatic retraining mechanism implemented via Step Functions in this project achieves MLOps maturity Level 1.71% similar
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