An open family of System One models. A LoRA adapter plus a pointer head on a frozen Qwen base returns a distribution per typed question in one forward pass, serves TypeSafe's /v1/systemone contract, and ships a fitted temperature with every checkpoint.
Unofficial NoulXP package of Convai Innovations' Laya (English) (Apache-2.0), fp32-o23: checked against the model's own answers, none changed. Not made by Convai Innovations.
Decides
choice, score, noul, classify, route
choice, score, noul, classify, route
Architecture
kev
laya
Fine-tuned from
qwen/qwen3.5-4b-base
convai-innovations/laya
License
apache-2.0
apache-2.0
Availability
Open weights
Open weights
Hosted by
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Input price
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Decision accuracy
83.8%
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Calibration error
0.042
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Valid action rate
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Median latency
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116 ms
p95 latency
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859 ms
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 kev and laya-noulxp-cpu?
kev is from Jared Palmer and laya-noulxp-cpu from Convai Innovations. Both have open weights you can download and run. Both answer choice, score, noul, classify and route questions. kev reads up to 8K tokens of state, against 512 tokens for laya-noulxp-cpu. laya-noulxp-cpu is the smaller model, at 421M parameters to 4.0B.
Which is more accurate, kev or laya-noulxp-cpu?
Only kev publishes an accuracy figure (83.8% on transfer-v4 (locked, out of domain)); laya-noulxp-cpu does not, so there is no comparison to make without your own test.
Which is cheaper, kev or laya-noulxp-cpu?
kev: Free (open weights). laya-noulxp-cpu: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Can I run kev or laya-noulxp-cpu locally?
Yes, both: systemone pull jared-palmer/kev and systemone pull convai-innovations/laya-noulxp-cpu download the weights.
transfer-v4 (locked, out of domain)
Measured by System One Models on 2026-10-05: one question per request, 4 threads of a Xeon Gold 6342
