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noonghunna

noonghunna/club-3090

PythonApache-2.0activerising
76Health

Community recipes for serving LLMs on RTX 3090/4090/5090 CUDA gpus. Multi-engine (vLLM, llama.cpp, ik_llama) and model-agnostic. Currently shipping Qwen3.6-27B Qwen3.6 35B Gemma 4 26B Gemma 4 31B configs for 1× and 2× cards.

Stars2.2k
Forks136
Open Issues38
Contributors136
Last Push0d ago

Health Breakdown

Activity
25
Community
13
Maintenance
13
Popularity
25
View on GitHub ↗Issues (38) ↗Pull Requests ↗Wiki ↗

Should you contribute to noonghunna/club-3090?

noonghunna/club-3090 has a FoundDev health score of 76/100, 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

noonghunna
noonghunna/club-3090
PythonApache 2.0
76

Community recipes for serving LLMs on RTX 3090/4090/5090 CUDA gpus. Multi-engine (vLLM, llama.cpp, ik_llama) and model-agnostic. Currently shipping Qwen3.6-27B Qwen3.6 35B Gemma 4 26B Gemma 4 31B configs for 1× and 2× cards.

activerising
2.2k136 contributors38 issues
0d ago

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