Unverified50% confidenceFactExact time
量化可将700亿参数模型的存储体积从FP16的约140GB压缩至INT4的约35-40GB，能在单张RTX 4090配合CPU内存卸载的消费级硬件上运行
1
Sources
50%
Confidence
Long-term
Relevance
7/12/2026
First Seen
Sources
阿里禁用Claude Code：AI编程工具安全与数据主权之争
bilibiliSynthMindX7/4/2026
Related Claims
Unverified一个70B参数模型经Q4_K_M量化后约占40GB存储空间，在RTX 4090配合CPU内存卸载可达每秒10-20个token的推理速度84% similarUnverified量化格式可将70B参数模型的运行内存从140GB压缩至40GB以内84% similarUnverifiedAWQ和GGUF均能将700亿参数模型存储体积从FP16的约140GB压缩至INT4的约35-40GB，可在单张RTX 4090上运行，精度损失通常控制在1-3%以内83% similarVerified4-bit量化将每个参数压缩至0.5字节，理论上将140GB压缩至约35-40GB81% similarUnverified300B INT4量化模型约需150-180GB存储空间79% similar
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