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.
Unofficial NoulXP package of Convai Innovations' Laya (English) (Apache-2.0), fp16: checked against the model's own answers, none changed. Not made by Convai Innovations.
Decides
choice, noul, score, classify, route
choice, score, noul, classify, route
Architecture
nimble
laya
Fine-tuned from
qwen/qwen3.5-9b
convai-innovations/laya
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%
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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 laya-noulxp-gpu?
bespoke-nimble-9b is from Bespoke Labs and laya-noulxp-gpu from Convai Innovations. bespoke-nimble-9b has open weights and a hosted API; laya-noulxp-gpu has open weights you can download and run. Both answer choice, noul, score, classify and route questions. bespoke-nimble-9b reads up to 8K tokens of state, against 512 tokens for laya-noulxp-gpu. laya-noulxp-gpu is the smaller model, at 421M parameters to 9.0B.
Which is more accurate, bespoke-nimble-9b or laya-noulxp-gpu?
Only bespoke-nimble-9b publishes an accuracy figure (90.1% on Bespoke held-out set (324 examples)); laya-noulxp-gpu does not, so there is no comparison to make without your own test.
Which is cheaper, bespoke-nimble-9b or laya-noulxp-gpu?
bespoke-nimble-9b: Hosted, price not published, or free to self-host. laya-noulxp-gpu: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Can I run bespoke-nimble-9b or laya-noulxp-gpu locally?
Yes, both: systemone pull bespoke-labs/bespoke-nimble-9b and systemone pull convai-innovations/laya-noulxp-gpu download the weights.