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News/TACO: Ternary Absolute-max Column-wise One-sparse Optimizer for LLM Fine-Tuning
arxiv
PublishedOctober 8, 2026 at 4:00 AM

TACO: Ternary Absolute-max Column-wise One-sparse Optimizer for LLM Fine-Tuning

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arXiv:2610.02199v2 Announce Type: replace Abstract: Full-parameter fine-tuning of large language models (LLMs) incurs substantial optimizer state memory overhead, limiting the model sizes that fit on modern GPUs. Existing approaches either compress optimizer state, abandon first-order gradients, or

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