A family of open System One models by Mark Marosi, decider-0.8b, decider-2b, decider-4b and decider-35b-a3b on Qwen3.5 bases, that softmax letter logits at an answer slot. This page carries decider-2b v11.
AutoTrust's student of TypeSafe Jev 1.13. A frozen Qwen3.8-27B plus a 108.9M-parameter decision block trained on Jev's own output distributions; one set of weights answers typed questions in one pass (System 1) or generates text with the untouched base (System 2).
Decides
choice, score, noul, classify, route
choice, score, noul
Architecture
decider
blocks-of-experts
Fine-tuned from
qwen/qwen3.5-2b-base
qwen/qwen3.8-27b
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
75.2%
88.7%
Calibration error
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Valid action rate
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Median latency
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137 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 decider and jev-27b?
decider is from Mapika and jev-27b from AutoTrust AI Lab. Both have open weights you can download and run. Both answer choice, score and noul questions. Only decider answers classify and route. decider is the smaller model, at 1.9B parameters to 27B.
Which is more accurate, decider or jev-27b?
They report on different suites — decider 75.2% on Decider regression set, 28 held-out tasks (decider-2b v11), jev-27b 88.7% on JevBench public set (231 items), family-macro score, maker's run — so the numbers do not rank them. Test both on your own labelled examples.
Which is cheaper, decider or jev-27b?
decider: Free (open weights). jev-27b: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Can I run decider or jev-27b locally?
Yes, both: systemone pull mapika/decider and systemone pull autotrust-ai/jev-27b download the weights.
