SmoothQuant : Accurate and efficient post-training quantization for large language models

Guangxuan Xiao, Ji Lin, Mickael Seznec, Hao Wu, Julien Demouth, Song Han · 2023

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Decomposing MXFP4 quantization error for LLM reinforcement learning: reducible bias, recoverable deadzone, and an irreducible floor

cs.LG · 2026-05-19 · 2 refs

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Decomposing MXFP4 quantization error for LLM reinforcement learning: reducible bias, recoverable deadzone, and an irreducible floor cs.LG · 2026-05-19 · unreviewed · ref 39 · 2 links