New Paper Details Post-Training Quantization for Large Models with Weight Outliers and Sparsity
A new arXiv paper examines post-training quantization, a technique that reduces the memory burden of deploying large models by casting high-precision trained weights to fewer bits, with a focus on weight outliers and sparsity.
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- 2026-11-03 05:00 · arXiv cs.LG
Quantization of Large Models with Weight Outliers and Sparsity