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.
A 149.6M ModernBERT-base cross-encoder with a scalar head that picks an agent's next action or tool from labels and descriptions you supply. Each option is scored against the state and a softmax ranks the set; no text is generated. Experimental preview, not calibrated.
Decides
choice, score, noul
choice, rank, route
Architecture
docto-decision
modernjev
Fine-tuned from
qwen/qwen3.5-4b
answerdotai/modernbert-base
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
88.9%
73.4%
Calibration error
0.079
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Valid action rate
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Median latency
47 ms
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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 docto-decision and modernjev-decide?
docto-decision is from Bofeng Huang and modernjev-decide from Maziyar Panahi. Both have open weights you can download and run. Both answer choice questions. Only docto-decision answers score and noul. Only modernjev-decide answers rank and route. modernjev-decide is the smaller model, at 150M parameters to 4.7B.
Which is more accurate, docto-decision or modernjev-decide?
They report on different suites — docto-decision 88.9% on Docto Decision Bench fr v0.1 (12 tasks, mostly silver labels; the maker's own benchmark), modernjev-decide 73.4% on AgentToolDecisions-180K held-out test, next action type (1,158 decisions, 3 choices; the maker's split) — so the numbers do not rank them. Test both on your own labelled examples.
Which is cheaper, docto-decision or modernjev-decide?
docto-decision: Free (open weights). modernjev-decide: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Can I run docto-decision or modernjev-decide locally?
Yes, both: systemone pull bofeng-huang/docto-decision and systemone pull maziyar-panahi/modernjev-decide download the weights.
Evaluation suite
Docto Decision Bench fr v0.1 (12 tasks, mostly silver labels; the maker's own benchmark)
AgentToolDecisions-180K held-out test, next action type (1,158 decisions, 3 choices; the maker's split)
