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Jeff 1.0

Jeff 1.0 turns open Gemma and Qwen models into decision scorers, with serving code and an accompanying OpenDecisions test set.

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What it does

Geuter, Cheng and Alvarez-Melis report 84.4 on OpenDecisions versus Jev’s 80.1, and 81.5 on JevBench v1.7. These are author-run comparisons. The server accepts 8,192 input tokens and up to 16 options, evaluating each question separately. Its default mode pushes middling yes/no probabilities to 0.199 or 0.801 for JevBench scoring; --no-commit keeps the underlying values. Apache-2.0 serving code does not replace the checkpoints’ separate backbone licenses.

How you can use it

Ask a developer to try one released checkpoint with the supplied server and your own labelled examples. It can choose a category, rate an item or answer yes or no. Disable the default probability adjustment with --no-commit before using its uncertainty estimates to decide what your app should do.

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