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.
FrontiersMind's decision model on a base it pre-trained from scratch. Each question reads the state and its own tokens once and a 256-dimension pointer head scores the options; Choice and Score take up to 255 entries, and nothing is generated.
Decides
choice, score, noul
choice, score, noul
Architecture
docto-decision
lumma-fev
Fine-tuned from
qwen/qwen3.5-4b
frontiersmind/lumma-0.6b-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%
64.0%
Calibration error
0.079
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Valid action rate
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Median latency
47 ms
45.8 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 docto-decision and lumma-fev?
docto-decision is from Bofeng Huang and lumma-fev from FrontiersMind. Both have open weights you can download and run. Both answer choice, score and noul questions. lumma-fev is the smaller model, at 649M parameters to 4.7B.
Which is more accurate, docto-decision or lumma-fev?
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), lumma-fev 64.0% on typed-decisions (maker's table; split not stated) — so the numbers do not rank them. Test both on your own labelled examples.
Which is cheaper, docto-decision or lumma-fev?
docto-decision: Free (open weights). lumma-fev: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Which is faster, docto-decision or lumma-fev?
By their publishers’ figures, lumma-fev answers in about 45.8 ms at the median and docto-decision in about 47 ms — measured on different hardware, so treat it as a rough guide.
Can I run docto-decision or lumma-fev locally?
Yes, both: systemone pull bofeng-huang/docto-decision and systemone pull frontiersmind/lumma-fev download the weights.
Evaluation suite
Docto Decision Bench fr v0.1 (12 tasks, mostly silver labels; the maker's own benchmark)
