An open Jev-style LoRA on Qwen3.5-9B from Bespoke Labs, trained on 2,676 contrastively curated examples to score the allowed answer tokens directly for enums, booleans and rubric levels. Recipe, data and a public benchmark suite are released with it.
StartLux's decision family in five sizes, 0.8B to 27B. All questions in a request are answered in one forward pass, with a probability for every option, through a TypeSafe /v1/systemone-compatible server that records CUDA graphs for short requests.
Decides
choice, noul, score, classify, route
choice, score, noul
Architecture
nimble
startlux-decision
Fine-tuned from
qwen/qwen3.5-9b
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License
apache-2.0
cc-by-nc-4.0
Availability
Open weights + hosted API
Open weights
Hosted by
Bespoke Labs
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Input price
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Decision accuracy
90.1%
88.3%
Calibration error
0.054
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Valid action rate
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Median latency
106 ms
26 ms
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 bespoke-nimble-9b and startlux-decision?
bespoke-nimble-9b is from Bespoke Labs and startlux-decision from StartLux. bespoke-nimble-9b has open weights and a hosted API; startlux-decision has open weights you can download and run. Both answer choice, noul and score questions. Only bespoke-nimble-9b answers classify and route. startlux-decision is the smaller model, at 4.7B parameters to 9.0B. bespoke-nimble-9b is licensed apache-2.0; startlux-decision, cc-by-nc-4.0.
Which is more accurate, bespoke-nimble-9b or startlux-decision?
They report on different suites — bespoke-nimble-9b 90.1% on Bespoke held-out set (324 examples), startlux-decision 88.3% on JevBench public set (231 items; 204 correct), maker's run — so the numbers do not rank them. Test both on your own labelled examples.
Which is cheaper, bespoke-nimble-9b or startlux-decision?
bespoke-nimble-9b: Hosted, price not published, or free to self-host. startlux-decision: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Which is faster, bespoke-nimble-9b or startlux-decision?
By their publishers’ figures, startlux-decision answers in about 26 ms at the median and bespoke-nimble-9b in about 106 ms — measured on different hardware, so treat it as a rough guide.
Can I run bespoke-nimble-9b or startlux-decision locally?
Yes, both: systemone pull bespoke-labs/bespoke-nimble-9b and systemone pull startlux/startlux-decision download the weights.
Evaluation suite
Bespoke held-out set (324 examples)
JevBench public set (231 items; 204 correct), maker's run
