replica source-backed
minojev: a trained decision head on a frozen language model
An independent Jev-style project that freezes a language-model backbone and trains a small decision head over cached candidate features. It publishes typed probability outputs, datasets and browser presentations of its benchmark and game policies.
Notes
The bundled Qwen3-1.7B release uses about 0.8 million head parameters. On the author's 120-decision comparison it reports 95.8% accuracy versus 80.0% for same-backbone generation; on a separate out-of-distribution workload it reports 31.7% versus 40.0%.
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