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.
StartLux's decision family in six sizes, 0.8B to a 35B-A3B mixture of experts. All questions in a request are answered in one forward pass, with a probability for every option, through a TypeSafe /v1/systemone-compatible server. Text, JSON or images, up to 256K tokens.
Decides
choice, score, noul
choice, score, noul
Architecture
jevany
startlux-decision
Fine-tuned from
qwen/qwen3.8-27b
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License
apache-2.0
cc-by-nc-4.0
Availability
Open weights
Open weights
Hosted by
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Input price
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Decision accuracy
86.0%
88.3%
Calibration error
0.026
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Valid action rate
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Median latency
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26 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 jevany and startlux-decision?
jevany is from SimpleJev and startlux-decision from StartLux. Both have open weights you can download and run. Both answer choice, score and noul questions. startlux-decision is the smaller model, at 4.7B parameters to 27B. jevany is licensed apache-2.0; startlux-decision, cc-by-nc-4.0.
Which is more accurate, jevany or startlux-decision?
They report on different suites — jevany 86.0% on SimpleJev Transfer suite (1,046 decisions from seven cross-domain datasets plus robustness slices; the maker's own), startlux-decision 88.3% on JevBench public set (231 items; 204 correct), maker's run — so the numbers do not rank them. Test both on your own labelled examples.
Which is cheaper, jevany or startlux-decision?
jevany: Free (open weights). startlux-decision: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Can I run jevany or startlux-decision locally?
Yes, both: systemone pull simplejev/jevany and systemone pull startlux/startlux-decision download the weights.
Evaluation suite
SimpleJev Transfer suite (1,046 decisions from seven cross-domain datasets plus robustness slices; the maker's own)
JevBench public set (231 items; 204 correct), maker's run
