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Ashkboos et al.

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13:31
2026-08-14
pub.towardsai.net
artificial-intelligence

Why Post-Training Compression Is a Losing LLM Battle

Post-training quantization (PTQ) of large language models fails under extreme low-bit constraints because dynamic activation outliers scale beyond 1โฐโต, causing representation collapse, according to a โ€ฆ

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