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.
A family of open System One models by Mark Marosi, decider-0.8b, decider-2b, decider-4b and decider-35b-a3b on Qwen3.5 bases, that softmax letter logits at an answer slot. This page carries decider-2b v11.
Decides
choice, noul, score, classify, route
choice, score, noul, classify, route
Architecture
nimble
decider
Fine-tuned from
qwen/qwen3.5-9b
qwen/qwen3.5-2b-base
License
apache-2.0
apache-2.0
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%
75.2%
Calibration error
0.054
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Valid action rate
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Median latency
106 ms
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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 bespoke-nimble-9b and decider?
bespoke-nimble-9b is from Bespoke Labs and decider from Mapika. bespoke-nimble-9b has open weights and a hosted API; decider has open weights you can download and run. Both answer choice, noul, score, classify and route questions. decider reads up to 32K tokens of state, against 8K tokens for bespoke-nimble-9b. decider is the smaller model, at 1.9B parameters to 9.0B.
Which is more accurate, bespoke-nimble-9b or decider?
They report on different suites — bespoke-nimble-9b 90.1% on Bespoke held-out set (324 examples), decider 75.2% on Decider regression set, 28 held-out tasks (decider-2b v11) — so the numbers do not rank them. Test both on your own labelled examples.
Which is cheaper, bespoke-nimble-9b or decider?
bespoke-nimble-9b: Hosted, price not published, or free to self-host. decider: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Can I run bespoke-nimble-9b or decider locally?
Yes, both: systemone pull bespoke-labs/bespoke-nimble-9b and systemone pull mapika/decider download the weights.
