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SouthpawIN

SouthpawIN/turbofit

PythonMITactiverising
89Health

Adaptive local inference for Hermes — TurboFit Check, evidence-built TurboFit List, repaired discovery/benchmark campaigns, Qwen 3.8 DFlash2, Bonsai DSpark, FreeToken, and Sirvir.

Stars108
Forks25
Open Issues3
Contributors25
Last Push0d ago

Health Breakdown

Activity
25
Community
25
Maintenance
15
Popularity
24
#adaptive-runtime#benchmarking#gguf#gpu#hermes-agent#llama-cpp#local-llm
View on GitHub ↗Issues (3) ↗Pull Requests ↗Wiki ↗

Should you contribute to SouthpawIN/turbofit?

SouthpawIN/turbofit has a FoundDev health score of 89/100, 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 MIT, a standard OSI-approved license — safe to contribute to under normal employer IP policies.

Community

SouthpawIN89

Adaptive local inference for Hermes — TurboFit Check, evidence-built TurboFit List, repaired discovery/benchmark campaigns, Qwen 3.8 DFlash2, Bonsai DSpark, FreeToken, and Sirvir.

activerising
★ 10825 contributors3 issues
0d ago

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