awesomejev

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Kev

Apache-licensed, locally runnable Jev-style Choice, Score, and Noul models at 0.8B, 4B, and 9B, with released weights, training code, a System One-compatible server, frozen evaluation suites, and a playground. Its author reports a 0.822 new-source development accuracy for Kev-9B against 0.857 for hosted Jev on that suite, but Jev's training data is unknown, so this is not a controlled architecture comparison; test calibration and option order on your own data before setting a decision threshold.

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