An open-weights System One model from Convai Innovations. A fully fine-tuned ModernBERT-large encoder with a from-scratch decision head that scores one marker per option and answers every question in a single 33–39 ms pass. Runs on your own CPU or GPU.
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, score, noul, classify, route
choice, score, noul, classify, route
Architecture
laya
laya
Fine-tuned from
answerdotai/modernbert-large
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
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Calibration error
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Valid action rate
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Median latency
39.5 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 laya and laya-noulxp-gpu?
laya is from Convai Innovations and laya-noulxp-gpu from Convai Innovations. Both have open weights you can download and run. Both answer choice, score, noul, classify and route questions. laya is the smaller model, at 421M parameters to 421M. laya-noulxp-gpu is fine-tuned from laya.
Which is more accurate, laya or laya-noulxp-gpu?
Neither publishes an accuracy figure. Test both on your own labelled examples.
Which is cheaper, laya or laya-noulxp-gpu?
laya: Free (open weights). laya-noulxp-gpu: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Can I run laya or laya-noulxp-gpu locally?
Yes, both: systemone pull convai-innovations/laya and systemone pull convai-innovations/laya-noulxp-gpu download the weights.
