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.
SimpleJev's LoRA adapters and pointer head that turn an open model into a typed-decision model: given a state, a question and the options, it returns a probability for every option without generating text. This entry is the Qwen3.8-27B release; the others are linked.
Decides
choice, score, noul
choice, score, noul
Architecture
docto-decision
jevany
Fine-tuned from
qwen/qwen3.5-4b
qwen/qwen3.8-27b
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%
86.0%
Calibration error
0.079
0.026
Valid action rate
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Median latency
47 ms
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p95 latency
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Evaluation suite
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 jevany?
docto-decision is from Bofeng Huang and jevany from SimpleJev. Both have open weights you can download and run. Both answer choice, score and noul questions. docto-decision is the smaller model, at 4.7B parameters to 27B.
Which is more accurate, docto-decision or jevany?
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), jevany 86.0% on SimpleJev Transfer suite (1,046 decisions from seven cross-domain datasets plus robustness slices; the maker's own) — so the numbers do not rank them. Test both on your own labelled examples.
Which is cheaper, docto-decision or jevany?
docto-decision: Free (open weights). jevany: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Can I run docto-decision or jevany locally?
Yes, both: systemone pull bofeng-huang/docto-decision and systemone pull simplejev/jevany download the weights.
Docto Decision Bench fr v0.1 (12 tasks, mostly silver labels; the maker's own benchmark)
SimpleJev Transfer suite (1,046 decisions from seven cross-domain datasets plus robustness slices; the maker's own)