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 396M ModernBERT-large cross-encoder that answers typed questions about a text or a JSON state: one or several options, scores, yes/no with "not stated", spans with evidence quotes, rankings and numeric bins, each with a confidence and an act-or-escalate signal.
Decides
choice, score, noul
choice, score, noul, rank, extract
Architecture
docto-decision
solvi
Fine-tuned from
qwen/qwen3.5-4b
answerdotai/modernbert-large
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%
59.4%
Calibration error
0.079
0.210
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 solvi?
docto-decision is from Bofeng Huang and solvi from solvi. Both have open weights you can download and run. Both answer choice, score and noul questions. Only solvi answers rank and extract. solvi is the smaller model, at 396M parameters to 4.7B.
Which is more accurate, docto-decision or solvi?
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), solvi 59.4% on Fast Decisions public dev split (100 rows x 17 domains, macro), the maker's own harness, zero-shot — so the numbers do not rank them. Test both on your own labelled examples.
Which is cheaper, docto-decision or solvi?
docto-decision: Free (open weights). solvi: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Can I run docto-decision or solvi locally?
Yes, both: systemone pull bofeng-huang/docto-decision and systemone pull solvi-ai/solvi download the weights.
Evaluation suite
Docto Decision Bench fr v0.1 (12 tasks, mostly silver labels; the maker's own benchmark)
Fast Decisions public dev split (100 rows x 17 domains, macro), the maker's own harness, zero-shot
