Models / Laya
Laya
An open-weight model that answers the same three question types as Jev and runs on your own GPU or CPU. Three checkpoints ship: English (421M), multilingual for 100+ languages (322M), and one tuned on typed decisions (421M).
What it's good at
- Runs locally, so your data never leaves your server. Air-gapped deployment works.
- You can fine-tune it on your own labels.
- No per-call fee.
- Multilingual checkpoint with automatic routing by script.
Limits and caveats
- The base model is close to chance zero-shot: 0.362 on the typed-decisions benchmark against a 0.318 random baseline.
- The headline 0.766 accuracy comes from a checkpoint fine-tuned on that same benchmark's training split.
- Probabilities are over-confident until you fit temperatures on your own data.
- Convai's own README calls it a fast base to specialise, not a zero-shot decision engine.
- Its “6–8× faster than Jev” compares local GPU inference against Jev's network round trip.
Directory entries using Laya
Laya: “6–8× faster than Jev”
Vendor claim by Convai Innovations, added 18 Sep 2026
MisleadingNot yet tested by us
At 32.8 ms per question on one GPU, Laya is 6 to 8 times faster than Jev.
LayaJevClaim vetting
Laya's 0.766 benchmark accuracy
Vendor claim by Convai Innovations, added 18 Sep 2026
MisleadingNot yet tested by us
Laya reaches 0.766 on the typed-decisions benchmark.
LayaClaim vetting