# DecisionTune 1.0 model sizes and sources > DecisionTune 1.0 is a local decision model with 395M parameters and a 4 KB scoring head. It returns option probabilities in one encoder pass. Updated 2026-11-04 (Australia/Adelaide) By DecisionTune · Hugging Face repository upload: 2026-10-04 · OPEN 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 - **VENDOR-REPORTED**: 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. [source]() ## Links - [Source: Hugging Face]() ## Related projects ### RealStop: catch work handed back by a coding agent [RealStop: catch work handed back by a coding agent]() [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. - Creator: decision-tune - Stars: 1 - Licence: Apache-2.0 - Model: [DecisionTune 1.0]() (RealStop fine-tune) - Tags: coding, guardrails, local - [Source: Model and evaluation]()