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.
Small open typed-decision model with calibrated probabilities, first-class Nepali coverage.
Decides
choice, score, noul, classify, route
choice, score, noul, classify, route
Architecture
laya
mira
Fine-tuned from
answerdotai/modernbert-large
jhu-clsp/mmbert-small
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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74.5%
Calibration error
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0.025
Valid action rate
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100.0%
Median latency
39.5 ms
30 ms
p95 latency
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43 ms
Evaluation suite
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s1-decision-bench
Latest version
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 mira?
laya is from Convai Innovations and mira from SAGEA. Both have open weights you can download and run. Both answer choice, score, noul, classify and route questions.
Which is more accurate, laya or mira?
Only mira publishes an accuracy figure (74.5% on s1-decision-bench); laya does not, so there is no comparison to make without your own test.
Which is cheaper, laya or mira?
laya: Free (open weights). mira: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Which is faster, laya or mira?
By their publishers’ figures, mira answers in about 30 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 mira locally?
Yes, both: systemone pull convai-innovations/laya and systemone pull sagea/mira download the weights.
