Verified80% confidenceFactExact time
INT8量化约损失0.5%精度、显存减半，INT4量化显存压缩至原来的1/4、精度损失约1-3%
4
Sources
80%
Confidence
Long-term
Relevance
7/7/2026
First Seen
Sources
本地部署大模型完全指南：工具选择与硬件配置
hackernewshackernews7/3/2026
Related Claims
Verified4-bit量化在损失约1-3%准确率的前提下，将模型体积缩减至原来的1/883% similarUnverified研究表明在INT4/INT8精度下多数推理和生成任务的输出质量下降幅度在1-3%以内82% similarUnverifiedint8量化将参数从16位压缩至8位，理论上减少约50%显存占用；int4将显存占用降低至原始的25%左右81% similarUnverified量化等级精度损失对比：Q5近乎无损，Q4约2%~5%损失，Q3约8%~15%损失，Q2约30%~50%损失77% similarUnverified8位量化几乎减半内存使用，质量损失极小，指令遵循能力强75% similar
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