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.
A 4B decision model fine-tuned from Qwen3.5-4B-Base. A state and typed questions (choice, yes/no, score) go in; a temperature-calibrated probability for every option comes out of one pass, through a self-hosted /v1/systemone-compatible server. Apache-2.0 weights and code.
Decides
choice, score, noul
choice, score, noul, classify, route
Architecture
bev-decider
wald
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%
88.3%
Calibration error
—
0.045
Valid action rate
—
—
Median latency
—
33 ms
p95 latency
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168 ms
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 wald?
bev-decider is from Avishek Biswas and wald from ORG2 AI. Both have open weights you can download and run. Both answer choice, score and noul questions. Only wald answers classify and route. wald reads up to 128K tokens of state, against 2K tokens for bev-decider. bev-decider is the smaller model, at 478M parameters to 4.2B. bev-decider is licensed cc-by-nc-4.0; wald, apache-2.0.
Which is more accurate, bev-decider or wald?
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, wald 88.3% on JevBench public set (231 items; 204 correct), maker's run with the JevBench CLI, v1.2, effort none; items used as a development scoreboard — so the numbers do not rank them. Test both on your own labelled examples.
Which is cheaper, bev-decider or wald?
bev-decider: Free (open weights). wald: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Can I run bev-decider or wald locally?
Yes, both: systemone pull avishek-biswas/bev-decider and systemone pull org2ai/wald download the weights.
Evaluation suite
avbiswas/bev-decision test split (5,000 held-out questions over 2,617 states), the maker's own
JevBench public set (231 items; 204 correct), maker's run with the JevBench CLI, v1.2, effort none; items used as a development scoreboard
Latest version
2026.09
1.2.0
Variants
LICENSE-Qwen
Dockerfile, LICENSE, NOTICE, model-files, reference, server
