I trained a 260M vision model that beats a ~15x larger zero-shot model on screenshots (0.828 vs 0.731) and built a Papers-Please-style booth where it refuses to answer below its gate
Repo, weights and a playable demo at the bottom. Everything trained on free Kaggle T4s. MK-SH-V is a visual decision model. It takes an image, a question with options, and returns calibrated probabilities, a choice, and a refusal when confidence sits below a gate frozen in advance. Held-out real nu…
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