Repo · Benchmarks & research
metask-jev
Calibrated typed-decision models, one forward pass each.
Open github.com ↗From the repository
Metask-Jev: calibrated typed-decision models (Jev-class). Single forward pass, candidate-logit readout. metask-jev-4b beats Bespoke Nimble-9B and Jev on JevBench.
How builders describe it
Metask-Jev: calibrated typed-decision models (Jev-class). Single forward pass, candidate-logit readout. metask-jev-4b beats Bespoke Nimble-9B and Jev on JevBench.
An open-weight Jev-class lab: a candidate-logit scorer that turns state plus a bounded rubric into calibrated probabilities per option in a single forward pass, with no generation and no parsing.
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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