SimpleJev's LoRA adapters and pointer head that turn an open model into a typed-decision model: given a state, a question and the options, it returns a probability for every option without generating text. This entry is the Qwen3.8-27B release; the others are linked.
Laya fine-tune that scans untrusted text (extracted files, knowledge-base documents, agent skills, tool descriptions) for prompt injection and data exfiltration in English and German, as a noul question answered in one forward pass. 322M parameters, PyTorch and ONNX.
Decides
choice, score, noul
noul, classify
Architecture
jevany
laya
Fine-tuned from
qwen/qwen3.8-27b
convaiinnovations/laya-multilingual
License
apache-2.0
Unspecified; training data includes CC BY-NC-SA 4.0 material (non-commercial), not relicensed
Availability
Open weights
Open weights
Hosted by
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Input price
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Decision accuracy
86.0%
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Calibration error
0.026
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Valid action rate
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Median latency
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95.4 ms
p95 latency
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 jevany and laya-cybersec?
jevany is from SimpleJev and laya-cybersec from TextCortex. Both have open weights you can download and run. Both answer noul questions. Only jevany answers choice and score. Only laya-cybersec answers classify. laya-cybersec is the smaller model, at 322M parameters to 27B. jevany is licensed apache-2.0; laya-cybersec, other.
Which is more accurate, jevany or laya-cybersec?
Only jevany publishes an accuracy figure (86.0% on SimpleJev Transfer suite (1,046 decisions from seven cross-domain datasets plus robustness slices; the maker's own)); laya-cybersec does not, so there is no comparison to make without your own test.
Which is cheaper, jevany or laya-cybersec?
jevany: Free (open weights). laya-cybersec: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Can I run jevany or laya-cybersec locally?
Yes, both: systemone pull simplejev/jevany and systemone pull textcortex/laya-cybersec download the weights.
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149 ms
Evaluation suite
SimpleJev Transfer suite (1,046 decisions from seven cross-domain datasets plus robustness slices; the maker's own)
TextCortex saved run: 279 single-window inputs, PyTorch batch one
