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Laya

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Laya the open source version of Jev

Convai Innovations released Laya, an open-source Apache 2.0 family of non-autoregressive decision models claiming 6-8x faster inference than TypeSafe AI's Jev.

Convai Innovations launched Laya, a family of non-autoregressive 'System 1' decision models that output calibrated probabilities over schemas instead of generating text. It ships three Apache 2.0 checkpoints on Hugging Face: laya (421M, ModernBERT-large), laya-multilingual (322M, mmBERT-base, 100+ languages), and laya-typed-decisions (421M, 0.766 accuracy on security alerts), running in 32.8 ms on a single GPU (7.2 ms batched). The release positions Laya as an open alternative to TypeSafe AI's Jev, a commercial decision API priced at $0.042 per million input tokens with ~150 ms responses. The author cites prior arXiv papers (2503.23303, 2510.01237) and a 51-language MASSIVE benchmark sweep showing English-only encoders fail on non-Latin scripts (Khmer: 0.000 accuracy at 0.952 confidence).

convaiinnovations/laya — new model trending #30 on Hugging Face

Convaiinnovations releases Laya, an open-source 421M-parameter non-autoregressive decision model for calibrated email triage, phishing detection, and routing.

Convaiinnovations published a fine-tuned checkpoint of Laya, an open-source (Apache 2.0) non-autoregressive System 1 decision model trending #30 on Hugging Face. It combines a fully fine-tuned ModernBERT-large backbone (395M) with a from-scratch decision head for 421M total parameters, returning typed answers with calibrated probabilities instead of generated text. Training used RLCD with proper scoring rules and TD(lambda=1.0) trajectory modeling on fully human-annotated data. Reported results include 38.4 ms single-question latency, 83.8% in-task macro accuracy, and 73.2% accuracy on email triage and phishing detection.

Hugging Face trending models · 1d agoModel release