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.
An open family of System One models. A LoRA adapter plus a pointer head on a frozen Qwen base returns a distribution per typed question in one forward pass, serves TypeSafe's /v1/systemone contract, and ships a fitted temperature with every checkpoint.
Decides
choice, score, noul, classify, route
choice, score, noul, classify, route
Architecture
jebadiah
kev
Fine-tuned from
qwen/qwen3.8-27b
qwen/qwen3.5-4b-base
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
86.6%
83.8%
Calibration error
0.113
0.042
Valid action rate
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Median latency
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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 jebadiah and kev?
jebadiah is from Frontier Infra and kev from Jared Palmer. Both have open weights you can download and run. Both answer choice, score, noul, classify and route questions. kev is the smaller model, at 4.0B parameters to 27B.
Which is more accurate, jebadiah or kev?
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, kev 83.8% on transfer-v4 (locked, out of domain) — so the numbers do not rank them. Test both on your own labelled examples.
Which is cheaper, jebadiah or kev?
jebadiah: Free (open weights). kev: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Can I run jebadiah or kev locally?
Yes, both: systemone pull frontier-infra/jebadiah and systemone pull jared-palmer/kev download the weights.
Evaluation suite
JevBench public set (231 items), maker's run with the v1.4.2 harness; ECE on the hard tier
