Unverified50% confidenceSolutionExact time
K8V4非对称量化将Key压缩到8位、Value压缩到4位，使128K上下文的KV Cache从16GB降到约6GB
1
Sources
50%
Confidence
Long-term
Relevance
8/24/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedQuantized KV caches (such as storing KV vectors in FP8 or INT4) can compress the cache size to 1/2 or even 1/4 of the original.77% similarVerified4-bit quantization compresses each parameter to 0.5 bytes, theoretically compressing 140GB down to approximately 35–40GB.76% similarUnverifiedDeepSeek V4 uses compression techniques such as MLA to reduce KV Cache VRAM usage to below 10% of the previous generation.74% similarUnverifiedKimi K2在FP16精度下仅模型权重就需要数百GB显存，INT4量化可将显存需求压缩至约四分之一73% similarUnverifiedThe DeepSeek 8B model compresses the model file to approximately 4.7 GB through 4-bit quantization.73% similar
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