Unverified50% confidenceFactExact time
量化技术从FP32到INT8可减少约75%的内存占用
1
Sources
50%
Confidence
Long-term
Relevance
7/18/2026
First Seen
Sources
Related Claims
Unverified4bit 量化可将模型体积缩减约 75%78% similarUnverified量化KV Cache（压缩为INT8或INT4）可将缓存内存降低50-75%，但主流推理框架支持成熟度参差不齐76% similarUnverified4位浮点相比FP16减少了75%的存储空间74% similarUnverified相比BF16，FP8能将模型权重和计算数据量减半，理论上可将矩阵乘法内存带宽需求降低50%，并在支持FP8 Tensor Core的GPU上获得2倍以上计算吞吐量提升74% similarUnverified将 KV 缓存从 FP16 降至 INT8 可节省 50% 显存，降至 INT4 则节省 75%71% similar
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