Repo · Benchmarks & research
Open-Jev-27B-v1.1
Typed probabilities from an open 27B model, with no generated JSON.
Open github.com ↗How builders describe it
Decision models that return typed probabilities for candidate labels from a state, instructions, and options, shipped as LoRA adapters plus a trained decision head over pinned Qwen base weights.
The decision Jev makes
Benchmark questions with known answers, to check accuracy and confidence.
Where it fits
Head-to-head tests, calibration studies and independent research into how well Jev decides, how fast, and at what cost. All 682 benchmarks & research projects →
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