Laya
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.
Laya is trained with Convai's RLCD recipe and proper scoring rules; the base is stated in the README. The repository carries three checkpoints: the English base (421M, 512-token context), a multilingual checkpoint (322M on mmBERT, 1,024 tokens, extendable to 8,192) and a typed-decisions checkpoint. On the typed-decisions suite the base checkpoint scores near chance (36.2%) while the typed-decisions checkpoint scores 76.6%, so pick the checkpoint for the job. Reported calibration error is 0.081 after temperature fitting (0.466 as shipped). laya-serve exposes /v1/systemone; community ports exist for Core ML, MLX, GGUF, ONNX and LiteRT. Fine-tune it on a Mac with Laya Studio.
What it decides
- choice — picks one option from a set
- score — places the input on an ordered scale
- noul — answers a yes/no question with one calibrated probability
- classify — assigns a category from a fixed taxonomy
- route — sends the input to one of several destinations
At a glance
| Parameters | 421M |
| Base model | answerdotai/modernbert-large |
| Maker | Convai Innovations |
| Released | 2026-09-18 |
| License | apache-2.0 |
| Reported latency | 39.5 ms per question on a T4 (English); 32.8 ms multilingual; 193–464 ms on CPU |
Get the weights
pip install systemonemodels
systemone pull convai-innovations/laya
The files are served from the maker's Hugging Face repository, convaiinnovations/laya, and verified against the checksums recorded here.