arxiv
PublishedJune 2, 2026 at 4:00 AM
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GNMR: Runtime Stability Control for Low-Precision Large Language Model Training
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arXiv:2606.00539v1 Announce Type: new Abstract: Training stability is a key bottleneck in low-precision language model training: efficient low-cost paths can still produce short-lived numerical risks at a small set of operators. We formulate this as runtime stability control and present Gradient Nor
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Originally published on arxiv ↗