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 local, Jev-compatible decision model from Rizzo AI Academy. XHToken's Spark-X2.5-4B with a merged typed-decisions LoRA, run on llama.cpp; yes/no, choice and score questions share one prefill of the state and are read from the answer-letter logits. No text is generated.
Decides
choice, score, noul
choice, score, noul, classify, route
Architecture
docto-decision
rizzo-flow
Fine-tuned from
qwen/qwen3.5-4b
xhtoken/spark-x2.5-4b
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
88.9%
64.8%
Calibration error
0.079
0.112
Valid action rate
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Median latency
47 ms
195 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 rizzo-flow?
docto-decision is from Bofeng Huang and rizzo-flow from Rizzo AI Academy. Both have open weights you can download and run. Both answer choice, score and noul questions. Only rizzo-flow answers classify and route. rizzo-flow is the smaller model, at 4.0B parameters to 4.7B.
Which is more accurate, docto-decision or rizzo-flow?
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), rizzo-flow 64.8% on LocalLLaMA/typed-decisions test split (400 cases, 2,000 decisions), Q8_0 — so the numbers do not rank them. Test both on your own labelled examples.
Which is cheaper, docto-decision or rizzo-flow?
docto-decision: Free (open weights). rizzo-flow: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Which is faster, docto-decision or rizzo-flow?
By their publishers’ figures, docto-decision answers in about 47 ms at the median and rizzo-flow in about 195 ms — measured on different hardware, so treat it as a rough guide.
Can I run docto-decision or rizzo-flow locally?
Yes, both: systemone pull bofeng-huang/docto-decision and systemone pull rizzo-ai-academy/rizzo-flow download the weights.
Evaluation suite
Docto Decision Bench fr v0.1 (12 tasks, mostly silver labels; the maker's own benchmark)
LocalLLaMA/typed-decisions test split (400 cases, 2,000 decisions), Q8_0
