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 ModernBERT-large encoder with an option-marker head. Premise and options are packed into one sequence and each option's marker is scored in a single bidirectional pass; version 1.2 makes the scoring order-invariant.
Decides
choice, score, noul, classify, route
choice, score, noul, classify
Architecture
laya
von
Fine-tuned from
answerdotai/modernbert-large
answerdotai/modernbert-large
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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63.9%
Calibration error
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0.045
Valid action rate
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Median latency
39.5 ms
18 ms
p95 latency
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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 laya and von?
laya is from Convai Innovations and von from wfzyx. Both have open weights you can download and run. Both answer choice, score, noul and classify questions. Only laya answers route. von reads up to 8K tokens of state, against 512 tokens for laya. von is the smaller model, at 395M parameters to 421M.
Which is more accurate, laya or von?
Only von publishes an accuracy figure (63.9% on JevBench public standard tier); laya does not, so there is no comparison to make without your own test.
Which is cheaper, laya or von?
laya: Free (open weights). von: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Which is faster, laya or von?
By their publishers’ figures, von answers in about 18 ms at the median and laya in about 39.5 ms — measured on different hardware, so treat it as a rough guide.
Can I run laya or von locally?
Yes, both: systemone pull convai-innovations/laya and systemone pull wfzyx/von download the weights.
