A family of open System One models by Mark Marosi that softmax option-letter logits at an answer slot: decider-0.8b, 2b, 4b and 35b-a3b on Qwen3.5 bases, decider-12b on Gemma-4-12B-it, and training-free readouts of larger chat models. This page carries decider-2b v11.
French medical decision models by Bofeng Huang: pass a patient message or clinical note, a question and candidate answers, and get one probability per answer from a single forward pass. Choice, score and noul. A research model, not a medical device.
Decides
choice, score, noul, classify, route
choice, score, noul
Architecture
decider
docto-decision
Fine-tuned from
qwen/qwen3.5-2b-base
qwen/qwen3.5-4b
License
apache-2.0
apache-2.0
Availability
Open weights
Open weights
Hosted by
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Input price
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Decision accuracy
75.2%
88.9%
Calibration error
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0.079
Valid action rate
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Median latency
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47 ms
p95 latency
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Figures are from each model’s manifest; accuracy and latency are what the publishers report, on their own suites and hardware. Add a third model.
Questions
What is the difference between decider and docto-decision?
decider is from Mapika and docto-decision from Bofeng Huang. Both have open weights you can download and run. Both answer choice, score and noul questions. Only decider answers classify and route. decider is the smaller model, at 1.9B parameters to 4.7B.
Which is more accurate, decider or docto-decision?
They report on different suites — decider 75.2% on Decider regression set, 28 held-out tasks (decider-2b v11), docto-decision 88.9% on Docto Decision Bench fr v0.1 (12 tasks, mostly silver labels; the maker's own benchmark) — so the numbers do not rank them. Test both on your own labelled examples.
Which is cheaper, decider or docto-decision?
decider: Free (open weights). docto-decision: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Can I run decider or docto-decision locally?
Yes, both: systemone pull mapika/decider and systemone pull bofeng-huang/docto-decision download the weights.
