CalibratedDecisions.

Repo · Benchmarks & research

Valen

Train a Jev-like multimodal model yourself.

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From the repository

Train a Jev-like multimodal model by yourself. System One Model, now with vision.

How builders describe it

Train a Jev-like multimodal model by yourself. System One Model, now with vision.
Open multimodal System One–style decision model: text, images, and video in; probabilities over supplied candidates out—independent of hosted TypeSafe Jev.
A multimodal decision model that scores text, image, and video candidates with a shared head on Qwen3.5, plus SFT and experimental RLCD training code.

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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