Unverified60% confidenceFactExact time
1亿条1536维的OpenAI embedding向量以float32存储需要约600GB内存，经8位标量量化后可压缩至约150GB
2
Sources
60%
Confidence
Long-term
Relevance
7/18/2026
First Seen
Sources
Related Claims
Verified300B INT4量化模型约需150-180GB存储空间82% similarUnverified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78% similarUnverified该模型加载时先按全精度建约1.29GB空壳再读入643MB全重，内存峰值可达约3400MB77% similarUnverified存储起步建议直接选256GB，Plus版用户多为重度使用(大屏刷视频/玩游戏)，128GB在系统占用+缓存后实际可用不足100GB，一年内易爆满且不可扩展77% similarUnverified内存务必选16GB起，8GB在多标签浏览器+办公软件同开已捉襟见肘且多数轻薄本内存板载不可扩展，买时一步到位；存储512GB起，避免板载不可换的256GB版本77% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/556112API
curl https://kongchang.com/api/v1/knowledge/claims/556112MCP
get_claim(id=556112)