Repo · Benchmarks & research
minojev
Independent Jev-style replica with head training: a frozen Qwen3-1.7B backbone plus a small trained decision head returns calibrated…
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Decisions, not tokens: minojev reads calibrated, typed probability distributions straight from hidden states in one forward pass — zero output tokens, fully reproducible on a laptop CPU.
How builders describe it
Independent Jev-style replica with head training: a frozen Qwen3-1.7B backbone plus a small trained decision head returns calibrated Choice/Boolean/Score distributions in one forward pass, with committed datasets and a same-backbone generation benchmark.
Local decision models that return Jev-shaped typed distributions instead of generated text: freeze a backbone, cache candidate features once, train a roughly 0.8M-parameter decision head, calibrate per primitive.
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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