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 Gemma 4 12B fine-tune for typed decisions that also chats and reads images. Ships as GGUF for llama.cpp, holds a 64K context on a 16 GB GPU, and serves /v1/systemone next to /v1/chat/completions.
Decides
choice, score, noul
choice, score, noul, classify, route
Architecture
blocks-of-experts
winnow
Fine-tuned from
qwen/qwen3.8-27b
google/gemma-4-12b-it
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%
85.7%
Calibration error
—
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Valid action rate
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Median latency
137 ms
143 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 jev-27b and winnow?
jev-27b is from AutoTrust AI Lab and winnow from EldanRing. Both have open weights you can download and run. Both answer choice, score and noul questions. Only winnow answers classify and route. winnow is the smaller model, at 12B parameters to 27B.
Which is more accurate, jev-27b or winnow?
They report on different suites — jev-27b 88.7% on JevBench public set (231 items), family-macro score, maker's run, winnow 85.7% on JevBench public subset (231 items), Q8_0 — so the numbers do not rank them. Test both on your own labelled examples.
Which is cheaper, jev-27b or winnow?
jev-27b: Free (open weights). winnow: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Which is faster, jev-27b or winnow?
By their publishers’ figures, jev-27b answers in about 137 ms at the median and winnow in about 143 ms — measured on different hardware, so treat it as a rough guide.
Can I run jev-27b or winnow locally?
Yes, both: systemone pull autotrust-ai/jev-27b and systemone pull eldanring/winnow download the weights.
JevBench public set (231 items), family-macro score, maker's run
