Unofficial NoulXP package of Convai Innovations' Laya typed-decisions (Apache-2.0), fp32-o23: 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
—
61.3%
Calibration error
—
0.083
Valid action rate
—
100.0%
Median latency
126 ms
30 ms
p95 latency
2185 ms
43 ms
Evaluation suite
Measured by System One Models on 2026-10-05: one question per request, 4 threads of a Xeon Gold 6342
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-typed-decisions-noulxp and mira?
laya-typed-decisions-noulxp 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-typed-decisions-noulxp or mira?
Only mira publishes an accuracy figure (61.3% on s1-decision-bench); laya-typed-decisions-noulxp does not, so there is no comparison to make without your own test.
Which is cheaper, laya-typed-decisions-noulxp or mira?
laya-typed-decisions-noulxp: Free (open weights). mira: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Which is faster, laya-typed-decisions-noulxp or mira?
By their publishers’ figures, mira answers in about 30 ms at the median and laya-typed-decisions-noulxp in about 126 ms — measured on different hardware, so treat it as a rough guide.
Can I run laya-typed-decisions-noulxp or mira locally?
Yes, both: systemone pull convai-innovations/laya-typed-decisions-noulxp and systemone pull sagea/mira download the weights.
