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).
A 144M-parameter System One model on the multilingual mmBERT-small encoder. Takes a state, a question and 2 to 20 options and returns one decision with probabilities for choice, score and yes/no questions, on a CPU.
Decides
choice, score, noul
choice, score, noul, classify, route
Architecture
blocks-of-experts
julia
Fine-tuned from
qwen/qwen3.8-27b
jhu-clsp/mmbert-small
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
88.7%
73.2%
Calibration error
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Valid action rate
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Median latency
137 ms
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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 jev-27b and julia-1?
jev-27b is from AutoTrust AI Lab and julia-1 from Supersonic Labs. Both have open weights you can download and run. Both answer choice, score and noul questions. Only julia-1 answers classify and route. julia-1 is the smaller model, at 144M parameters to 27B.
Which is more accurate, jev-27b or julia-1?
They report on different suites — jev-27b 88.7% on JevBench public set (231 items), family-macro score, maker's run, julia-1 73.2% on typed-decisions test set (400 cases, 2,000 questions) — so the numbers do not rank them. Test both on your own labelled examples.
Which is cheaper, jev-27b or julia-1?
jev-27b: Free (open weights). julia-1: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Can I run jev-27b or julia-1 locally?
Yes, both: systemone pull autotrust-ai/jev-27b and systemone pull supersonic-labs/julia-1 download the weights.
Evaluation suite
JevBench public set (231 items), family-macro score, maker's run
typed-decisions test set (400 cases, 2,000 questions)
