Unverified50% confidenceFactExact time
MLA compresses the KV cache per token in GLM from 32,768 numbers down to 576 numbers, a reduction of approximately 98%.
1
Sources
50%
Confidence
Long-term
Relevance
9/24/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedMLA can further reduce KV Cache usage by approximately 93% compared to GQA.70% similarVerifiedMLA can reduce the KV Cache VRAM usage to 5%–13% of traditional multi-head attention.66% similarUnverifiedDistilBERT将参数量压缩至6600万（原版1.1亿），推理速度提升60%，精度损失不足3%66% similarUnverifiedEach token in the GLM series 744B model activates only approximately 40B parameters, accounting for about 5.4% of the total.64% similarUnverifiedGGUF quantization can reduce a model's memory footprint to approximately 25% of its original precision.64% similar
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