index / omkarghugarkar007/system-one-model-finetuning
system-one-model-finetuning
Fine-tune small models that return calibrated probabilities instead of text. A measured recipe for System One models (Laya, Jev): text classification, routing and scoring with confidence you can act on. Trains on a laptop, no GPU.
LearningRankingListedPython
Repository
Stars0
LanguagePython
LicenseApache-2.0
Created2026-09-23
Last pushed2026-09-23
Officialno
Judgment
Genuine Jev project0.73
gate 0.5
Uses Jev at runtime0.31
Is a meta list0.04
Is a reimplementation0.69
Quality scales
Substance1.94 / 3
gate 0.5
Docs2.53 / 3
Novelty2.41 / 3
Composite score0.74
Category distribution
Learning0.88
Research and Evals0.12
Other0.00
Applications0.00
Games and Simulation0.00
SDKs and Clients0.00
Integrations0.00
Agent and Dev Tooling0.00
Assigned categoryLearning
Category probability0.88
Category confidence0.86
PatternRanking
Pattern confidence0.78
Curation
StatusListed
Reasongate passed
README pickno
Overridenone
Sources
- search:"system one" jev
- search:topic:system-one
- search:jev in:name,description,readme created:2026-09-23
Provenance
Modeljev-1.13.0
Question setv2
Judged at2026-09-23 11:41 UTC