CalibratedDecisions.

Post · Benchmarks & research

Verdict (Open-jev) launch thread

Hemant Kumar on his 151M ModernBERT reproduction: 0.83% adaptive calibration error, 3.0% of predictions flip when the option list is reversed, 35.6ms…

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Hemant @heman10x

TypeSafe AI came out of stealth with Jev, and access is behind a waitlist.

I built an open source version Verdict (Open-jev) you can run right now in a browser tab: And its a real post trained model..(link in comments)

It is a post trained 151M parameters model. ModernBERT-base

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How builders describe it

Hemant Kumar on his 151M ModernBERT reproduction: 0.83% adaptive calibration error, 3.0% of predictions flip when the option list is reversed, 35.6ms on CPU, with the failed use cases reported alongside the wins.
An open-source reproduction called Verdict: a post-trained 151M ModernBERT-base encoder with a GLiClass head, runnable in a browser tab, reporting its own calibration, order-invariance and failure numbers.

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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