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.
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
convai-innovations/laya
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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61.3%
Calibration error
—
0.083
Valid action rate
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100.0%
Median latency
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30 ms
p95 latency
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43 ms
Evaluation suite
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s1-decision-bench
Latest version
0.1.0
0.1.5
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-noulxp-gpu and mira?
laya-noulxp-gpu 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-noulxp-gpu or mira?
Only mira publishes an accuracy figure (61.3% on s1-decision-bench); laya-noulxp-gpu does not, so there is no comparison to make without your own test.
Which is cheaper, laya-noulxp-gpu or mira?
laya-noulxp-gpu: Free (open weights). mira: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Can I run laya-noulxp-gpu or mira locally?
Yes, both: systemone pull convai-innovations/laya-noulxp-gpu and systemone pull sagea/mira download the weights.