Berget AI's System One model for gating agent commands: a LoRA adapter and a fine-tuned joint schema head on Cloudflare's Clef-Flash that answer noul, choice and score questions over a state in one forward pass. Trained on Swedish and English operations decisions.
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.
Decides
noul, choice, score
choice, score, noul
Architecture
clef
docto-decision
Fine-tuned from
cloudflare/clef-flash
qwen/qwen3.5-4b
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
97.0%
88.9%
Calibration error
—
0.079
Valid action rate
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Median latency
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47 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 bev and docto-decision?
bev is from Berget AI and docto-decision from Bofeng Huang. Both have open weights you can download and run. Both answer noul, choice and score questions. docto-decision is the smaller model, at 4.7B parameters to 9.0B.
Which is more accurate, bev or docto-decision?
They report on different suites — bev 97.0% on Berget held-out risk split (16,902 questions; same operations-traffic corpora as training), docto-decision 88.9% on Docto Decision Bench fr v0.1 (12 tasks, mostly silver labels; the maker's own benchmark) — so the numbers do not rank them. Test both on your own labelled examples.
Which is cheaper, bev or docto-decision?
bev: Free (open weights). docto-decision: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Can I run bev or docto-decision locally?
Yes, both: systemone pull berget-ai/bev and systemone pull bofeng-huang/docto-decision download the weights.
Evaluation suite
Berget held-out risk split (16,902 questions; same operations-traffic corpora as training)
Docto Decision Bench fr v0.1 (12 tasks, mostly silver labels; the maker's own benchmark)
