Frontier Infra's open decision model. A LoRA merged into Qwen3.8-27B (thinking off) that answers one typed question per forward pass with a probability over the option labels, served through AINode's TypeSafe-compatible /v1/systemone.
StartLux's decision family in five sizes, 0.8B to 27B. All questions in a request are answered in one forward pass, with a probability for every option, through a TypeSafe /v1/systemone-compatible server that records CUDA graphs for short requests.
Decides
choice, score, noul, classify, route
choice, score, noul
Architecture
jebadiah
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
86.6%
88.3%
Calibration error
0.113
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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 jebadiah and startlux-decision?
jebadiah is from Frontier Infra and startlux-decision from StartLux. Both have open weights you can download and run. Both answer choice, score and noul questions. Only jebadiah answers classify and route. startlux-decision is the smaller model, at 4.7B parameters to 27B. jebadiah is licensed apache-2.0; startlux-decision, cc-by-nc-4.0.
Which is more accurate, jebadiah or startlux-decision?
They report on different suites — jebadiah 86.6% on JevBench public set (231 items), maker's run with the v1.4.2 harness; ECE on the hard tier, 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, jebadiah or startlux-decision?
jebadiah: Free (open weights). startlux-decision: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Can I run jebadiah or startlux-decision locally?
Yes, both: systemone pull frontier-infra/jebadiah and systemone pull startlux/startlux-decision download the weights.
Evaluation suite
JevBench public set (231 items), maker's run with the v1.4.2 harness; ECE on the hard tier
JevBench public set (231 items; 204 correct), maker's run
