Ultra-small English encoders (17M, 68M and 395M) fine-tuned from Ettin rerankers. Each answers choice, noul and score questions with a probability per candidate and no generated text. Experimental v0 by one developer; the weights have no licence assigned yet.
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
choice, score, noul, classify, route
Architecture
bekko
laya
Fine-tuned from
cross-encoder/ettin-reranker-400m-v1
convai-innovations/laya
License
Unassigned: the weights licence is not finalised (treated as non-commercial); training code MIT
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
5 ms
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p95 latency
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 bekko-system-one and laya-noulxp-gpu?
bekko-system-one is from Yuichi Tateno (hotchpotch) and laya-noulxp-gpu from Convai Innovations. Both have open weights you can download and run. Both answer choice, noul and score questions. Only laya-noulxp-gpu answers classify and route. bekko-system-one is the smaller model, at 395M parameters to 421M. bekko-system-one is licensed other; laya-noulxp-gpu, apache-2.0.
Which is more accurate, bekko-system-one or laya-noulxp-gpu?
Neither publishes an accuracy figure. Test both on your own labelled examples.
Which is cheaper, bekko-system-one or laya-noulxp-gpu?
bekko-system-one: Free (open weights). laya-noulxp-gpu: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Can I run bekko-system-one or laya-noulxp-gpu locally?
Yes, both: systemone pull hotchpotch/bekko-system-one and systemone pull convai-innovations/laya-noulxp-gpu download the weights.
5.4 ms
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Evaluation suite
The maker's short-input speed probe (4-option Choice, RTX 5090, 1 Oct 2026)