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.
An open family of System One models. A LoRA adapter plus a pointer head on a frozen Qwen base returns a distribution per typed question in one forward pass, serves TypeSafe's /v1/systemone contract, and ships a fitted temperature with every checkpoint.
Decides
choice, score, noul
choice, score, noul, classify, route
Architecture
bev-decider
kev
Fine-tuned from
qwen/qwen3-0.6b
qwen/qwen3.5-4b-base
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%
83.8%
Calibration error
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0.042
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 kev?
bev-decider is from Avishek Biswas and kev from Jared Palmer. Both have open weights you can download and run. Both answer choice, score and noul questions. Only kev answers classify and route. kev reads up to 8K tokens of state, against 2K tokens for bev-decider. bev-decider is the smaller model, at 478M parameters to 4.0B. bev-decider is licensed cc-by-nc-4.0; kev, apache-2.0.
Which is more accurate, bev-decider or kev?
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, kev 83.8% on transfer-v4 (locked, out of domain) — so the numbers do not rank them. Test both on your own labelled examples.
Which is cheaper, bev-decider or kev?
bev-decider: Free (open weights). kev: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Can I run bev-decider or kev locally?
Yes, both: systemone pull avishek-biswas/bev-decider and systemone pull jared-palmer/kev download the weights.
Evaluation suite
avbiswas/bev-decision test split (5,000 held-out questions over 2,617 states), the maker's own
