⬢github Python · 688 ★ +60 since we first saw it · pushed 2 d ago · Apache-2.0
Mapika/decider
A family of System One-style models fine-tuned from Qwen3.5, designed for one-pass typed decisions with calibrated probabilities.
Decider is an independent open reproduction of TypeSafe AI's 'System One' (Jev) model class: Qwen3.5-based models that don't generate text. Given a state and typed questions (choice, score, or yes-probability), each model returns calibrated probability distributions for all questions in a single forward pass — no decoding or parsing, with sizes from 2B to 35B MoE.
Why now: A fresh vLLM-based serving release (decider-ai 1.5.0) plus improved 2B/4B checkpoints landed this week, with demo GIFs (Tetris, Pong) and JevBench benchmark numbers driving attention on trending lists.
Who it is for: Developers building decision-making agents or game-playing systems who want fast, constrained, probabilistic decisions instead of free-text generation.
Stars over our 9 snapshots: 628 to 688, since 2 h ago.
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