arxiv
PublishedApril 10, 2026 at 4:00 AM
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SAGE: Sign-Adaptive Gradient for Memory-Efficient LLM Optimization
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arXiv:2604.07663v1 Announce Type: new Abstract: The AdamW optimizer, while standard for LLM pretraining, is a critical memory bottleneck, consuming optimizer states equivalent to twice the model's size. Although light-state optimizers like SinkGD attempt to address this issue, we identify the embedd
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Originally published on arxiv ↗