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.
A 0.6B replica of the System One idea trained on game environments. A Qwen3-0.6B backbone with an attention-based Choice head that scores a dynamic candidate set for Maze, Snake, ViZDoom and position prediction, shipped with its full training pipeline.
Decides
choice, score, noul, classify, route
choice, noul, score
Architecture
laya
nanojev
Fine-tuned from
answerdotai/modernbert-large
qwen/qwen3-0.6b
License
apache-2.0
mit
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 nanojev?
laya is from Convai Innovations and nanojev from TianyuCodings. Both have open weights you can download and run. Both answer choice, score and noul questions. Only laya answers classify and route. laya is the smaller model, at 421M parameters to 600M. laya is licensed apache-2.0; nanojev, mit.
Which is more accurate, laya or nanojev?
Neither publishes an accuracy figure. Test both on your own labelled examples.
Which is cheaper, laya or nanojev?
laya: Free (open weights). nanojev: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Can I run laya or nanojev locally?
Yes, both: systemone pull convai-innovations/laya and systemone pull tianyu-codings/nanojev download the weights.
