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.
TokenRhythm's prefill-only decision model for agent workflows. Built on its NeoHorse-1-4B (a Qwen3.5-4B derivative), it predicts Choice, Noul and Score answers over application-defined options without generating text, with optional single-image input.
Decides
choice, noul, score, classify, route
choice, score, noul, classify, route
Architecture
nimble
neohorse
Fine-tuned from
qwen/qwen3.5-9b
tokenrhythm/neohorse-1-4b
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%
75.3%
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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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 neohorse-jev?
bespoke-nimble-9b is from Bespoke Labs and neohorse-jev from TokenRhythm. bespoke-nimble-9b has open weights and a hosted API; neohorse-jev has open weights you can download and run. Both answer choice, noul, score, classify and route questions. neohorse-jev is the smaller model, at 4.0B parameters to 9.0B.
Which is more accurate, bespoke-nimble-9b or neohorse-jev?
They report on different suites — bespoke-nimble-9b 90.1% on Bespoke held-out set (324 examples), neohorse-jev 75.3% on JevBench public set (231 items), vLLM, maker's run — so the numbers do not rank them. Test both on your own labelled examples.
Which is cheaper, bespoke-nimble-9b or neohorse-jev?
bespoke-nimble-9b: Hosted, price not published, or free to self-host. neohorse-jev: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Can I run bespoke-nimble-9b or neohorse-jev locally?
Yes, both: systemone pull bespoke-labs/bespoke-nimble-9b and systemone pull tokenrhythm/neohorse-jev download the weights.
Evaluation suite
Bespoke held-out set (324 examples)
JevBench public set (231 items), vLLM, maker's run
