Winnow-12B
Open-weight GGUF decision model that reads answer probabilities from its logits in one pass. A Jev-class model you can run locally.
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Posts about Winnow-12B
- How do you benchmark a System One model? What JevBench scores, and what calibration says it cannot
JevBench scores Jev-class decision models on four axes: accuracy above chance, calibration, speed and cost per 1,000 decisions. Its v1.4.1 board puts Jev first at 63.3. A day later, a post argued that no benchmark can make these probabilities trustworthy on your data. Both are right, and this post covers what to measure yourself.