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huawei-csl

huawei-csl/KVarN

PythonApache-2.0activerising
88Health

KVarN is a native vLLM KV-cache quantization backend for your agents: 3-5x more context, throughput above FP16, and FP16-level accuracy. Calibration-free, one flag.

Stars389
Forks20
Open Issues5
Contributors20
Last Push0d ago

Health Breakdown

Activity
25
Community
25
Maintenance
13
Popularity
25
#agentic-ai#kv-cache#llm#llm-inference#long-context#quantization#vllm
View on GitHub ↗Issues (5) ↗Pull Requests ↗

Should you contribute to huawei-csl/KVarN?

huawei-csl/KVarN has a FoundDev health score of 88/100, which puts it in the active-and-maintained tier. The maintainer team is shipping recently, issues are being closed, and a PR you open this week has a realistic chance of being reviewed.

Last push was 0 days ago — that signals an actively maintained project. New issues are likely to get a maintainer response within days. The project is written primarily in Python, so prior Python experience will shorten ramp-up.

Licensed under Apache-2.0, a standard OSI-approved license — safe to contribute to under normal employer IP policies.

Community

huawei-csl
huawei-csl/KVarN
PythonApache 2.0
88

KVarN is a native vLLM KV-cache quantization backend for your agents: 3-5x more context, throughput above FP16, and FP16-level accuracy. Calibration-free, one flag.

activerising
38920 contributors5 issues
0d ago

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