A 0.4B decision model made from the first 20 layers of Qwen3-0.6B plus a small attention head that compares options. It answers choice, noul and score questions in one pass, and choice order cannot change its answer by construction. Non-commercial licence.
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.
Decides
choice, score, noul
choice, score, noul
Architecture
bev-decider
jevany
Fine-tuned from
qwen/qwen3-0.6b
qwen/qwen3.8-27b
License
cc-by-nc-4.0
apache-2.0
Availability
Open weights
Open weights
Hosted by
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Input price
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Decision accuracy
74.7%
86.0%
Calibration error
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0.026
Valid action rate
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Median latency
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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 bev-decider and jevany?
bev-decider is from Avishek Biswas and jevany from SimpleJev. Both have open weights you can download and run. Both answer choice, score and noul questions. bev-decider is the smaller model, at 478M parameters to 27B. bev-decider is licensed cc-by-nc-4.0; jevany, apache-2.0.
Which is more accurate, bev-decider or jevany?
They report on different suites — bev-decider 74.7% on avbiswas/bev-decision test split (5,000 held-out questions over 2,617 states), the maker's own, jevany 86.0% on SimpleJev Transfer suite (1,046 decisions from seven cross-domain datasets plus robustness slices; the maker's own) — so the numbers do not rank them. Test both on your own labelled examples.
Which is cheaper, bev-decider or jevany?
bev-decider: Free (open weights). jevany: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Can I run bev-decider or jevany locally?
Yes, both: systemone pull avishek-biswas/bev-decider and systemone pull simplejev/jevany download the weights.
Evaluation suite
avbiswas/bev-decision test split (5,000 held-out questions over 2,617 states), the maker's own
SimpleJev Transfer suite (1,046 decisions from seven cross-domain datasets plus robustness slices; the maker's own)
