SimpleJev's LoRA adapters and pointer head that turn an open model into a typed-decision model: given a state, a question and the options, it returns a probability for every option without generating text. This entry is the Qwen3.8-27B release; the others are linked.
A 364M Hebrew decision encoder on NeoDictaBERT: give it a state, a question and 2 to 7 free-text options and it returns a probability for each option in one forward pass, about 70 ms on a laptop CPU. Hebrew only.
Decides
choice, score, noul
choice, classify, route
Architecture
jevany
nativ
Fine-tuned from
qwen/qwen3.8-27b
dicta-il/neodictabert
License
apache-2.0
cc-by-4.0
Availability
Open weights
Open weights
Hosted by
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Input price
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Decision accuracy
86.0%
96.2%
Calibration error
0.026
0.010
Valid action rate
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Median latency
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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 jevany and nativ-he-decision?
jevany is from SimpleJev and nativ-he-decision from Yoav Pinto. Both have open weights you can download and run. Both answer choice questions. Only jevany answers score and noul. Only nativ-he-decision answers classify and route. nativ-he-decision is the smaller model, at 364M parameters to 27B. jevany is licensed apache-2.0; nativ-he-decision, cc-by-4.0.
Which is more accurate, jevany or nativ-he-decision?
They report on different suites — jevany 86.0% on SimpleJev Transfer suite (1,046 decisions from seven cross-domain datasets plus robustness slices; the maker's own), nativ-he-decision 96.2% on nativ-bench user-intent task, 4 options (MASSIVE Hebrew, 2,973 items; the maker's own suite) — so the numbers do not rank them. Test both on your own labelled examples.
Which is cheaper, jevany or nativ-he-decision?
jevany: Free (open weights). nativ-he-decision: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Can I run jevany or nativ-he-decision locally?
Yes, both: systemone pull simplejev/jevany and systemone pull yoav-pinto/nativ-he-decision download the weights.
SimpleJev Transfer suite (1,046 decisions from seven cross-domain datasets plus robustness slices; the maker's own)
nativ-bench user-intent task, 4 options (MASSIVE Hebrew, 2,973 items; the maker's own suite)
