Decision Models / DecisionTune 1.0
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DecisionTune 1.0
By DecisionTune · Released 4 Oct 2026
A local decision model built on ModernBERT-large: give it a state, a question and options, and it returns a probability for each option in one encoder pass. It handles choice and yes/no questions without generating text, through PyTorch, MLX or ONNX. The open weights are under Apache-2.0. The date is when the weights repository went up on Hugging Face.
Facts
- Size
- 395M parameters, ModernBERT-large plus a 4 KB scoring head
- Licence
- Apache-2.0
- Context
- 8,192 tokens; longer sequences are refused
Claims and sources
- The maker reports 29.57 on Decision Index 0.2.1 (raw 46.80) from one complete run, with a second seed scoring 29.13 (raw 45.96). These are the maker's runs, not an independent reproduction. vendor reportedsource
Links
Source: Hugging Face →
Related projects
Source: decision-tune/realstop ↗A Claude Code Stop hook with a local fine-tune of DecisionTune 1.0 that can block a turn ending that hands work back to the user. VENDOR-REPORTED on 864 test turn ends: the moderate setting caught 67.5% (195 of 289) of hand-backs at 15.8% false interventions, against 56.7% and 14.6% for phrase rules. That test split guided development. Both members were correct in only 16% (37 of 229) of synthetic pairs; the model did not beat phrase rules there. Warm model latency was a median 27 ms on an M5 Pro. The hook cannot verify claimed task completion.
decision-tune · ★ 1 · Apache-2.0 · DecisionTune 1.0 (RealStop fine-tune)
Source: Model and evaluation →
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