핵심 개념
QuantTune successfully mitigates the negative impact of outliers on quantized models, showcasing significant improvements in accuracy.
통계
"QuantTune reduces accuracy drops by 12.09% at 8-bit quantization and 33.8% at 7-bit."
"65% of quantization errors result from precision loss due to outliers."
인용구
"QuantTune adjusts weights based on outlier activations to constrain dynamic ranges."
"Our approach showcases significant improvements in post-training quantization."