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News/MSign: An Optimizer Preventing Training Instability in Large Language Models via Stable Rank Restoration
arxiv
PublishedSeptember 4, 2026 at 4:00 AM

MSign: An Optimizer Preventing Training Instability in Large Language Models via Stable Rank Restoration

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arXiv:2602.01734v2 Announce Type: replace Abstract: Training instability remains a critical challenge in large language model (LLM) pretraining, often manifesting as sudden gradient explosions that waste significant computational resources. We study training failures in a 5M-parameter NanoGPT model

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