NVIDIA
KVzap is a fast, adaptive, and faithful KV cache pruning method aiming to accelerate LLM inference in both prefilling and decoding.
Running this yourself: can likely run on your own machine.
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35.0
Quality Score
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Arena ELO
76M
Parameters
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Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
16 of 22 public signals
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524
Downloads
7
Likes
Dec 2025
Released
4/5 signals
2/4 signals
4/5 signals
3/4 signals
3/4 signals
Parameters
76M
Training compute
Not reported
Dataset scale
Not reported
Base model
Not reported
Gaps we are still tracking
Metadata sources
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Free access notes: Local Ollama runtime
No pricing data available yet.