SLQ achieves task-lossless LLM quantization below 4 bits per parameter and distribution-lossless at 5-6 bits on average, with 1.7-3.6x speedups over FP16.
To compress or not? pushing the frontier of lossless genai model weights compression with exponent concentration.arXiv preprint arXiv:2510.02676
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Statistically-Lossless Quantization of Large Language Models
SLQ achieves task-lossless LLM quantization below 4 bits per parameter and distribution-lossless at 5-6 bits on average, with 1.7-3.6x speedups over FP16.