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.
An open System One model from Interfaze AI. A rank-32 LoRA on Qwen3.5-4B reads yes/no, choice and score answers from the logits of one forward pass, returns calibrated probabilities and serves the /v1/systemone API.
Decides
choice, noul, score, classify, route
choice, score, noul, classify, route
Architecture
nimble
lev
Fine-tuned from
qwen/qwen3.5-9b
qwen/qwen3.5-4b
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%
68.9%
Calibration error
0.054
0.115
Valid action rate
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Median latency
106 ms
69 ms
p95 latency
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Evaluation suite
Bespoke held-out set (324 examples)
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 lev?
bespoke-nimble-9b is from Bespoke Labs and lev from Interfaze AI. bespoke-nimble-9b has open weights and a hosted API; lev has open weights you can download and run. Both answer choice, noul, score, classify and route questions. lev is the smaller model, at 4.0B parameters to 9.0B.
Which is more accurate, bespoke-nimble-9b or lev?
They report on different suites — bespoke-nimble-9b 90.1% on Bespoke held-out set (324 examples), lev 68.9% on S1Bench (13 public subsets, macro) — so the numbers do not rank them. Test both on your own labelled examples.
Which is cheaper, bespoke-nimble-9b or lev?
bespoke-nimble-9b: Hosted, price not published, or free to self-host. lev: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Which is faster, bespoke-nimble-9b or lev?
By their publishers’ figures, lev answers in about 69 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 lev locally?
Yes, both: systemone pull bespoke-labs/bespoke-nimble-9b and systemone pull interfaze-ai/lev download the weights.
