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.
FLock.io's typed-decision model, fine-tuned from Mapika's decider-2b. Reads one hidden state per question and scores the declared options, so an answer outside the list cannot occur; several questions about one state share a forward pass.
Decides
choice, score, noul, classify, route
choice, score, noul
Architecture
jebadiah
this-that
Fine-tuned from
qwen/qwen3.8-27b
mapika/decider
License
apache-2.0
mit
Availability
Open weights
Open weights
Hosted by
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Input price
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Decision accuracy
86.6%
87.8%
Calibration error
0.113
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Valid action rate
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Median latency
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31.4 ms
p95 latency
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Evaluation suite
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 this-that-model?
jebadiah is from Frontier Infra and this-that-model from FLock.io. Both have open weights you can download and run. Both answer choice, score and noul questions. Only jebadiah answers classify and route. this-that-model is the smaller model, at 1.9B parameters to 27B. jebadiah is licensed apache-2.0; this-that-model, mit.
Which is more accurate, jebadiah or this-that-model?
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, this-that-model 87.8% on limberc/this-that-complex-decisions (1,710 questions, FLock's benchmark) — so the numbers do not rank them. Test both on your own labelled examples.
Which is cheaper, jebadiah or this-that-model?
jebadiah: Free (open weights). this-that-model: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Can I run jebadiah or this-that-model locally?
Yes, both: systemone pull frontier-infra/jebadiah and systemone pull flock-io/this-that-model download the weights.
JevBench public set (231 items), maker's run with the v1.4.2 harness; ECE on the hard tier
