Meet Laya, the open-source equivalent of Jev

VIctor Janni

@VictorJanni

If you liked the idea of Jev (ultra-fast, typed decision models instead of heavy 70B LLMs), meet Laya—the open-source equivalent. Why it matters for production pipelines: 1. Blazing Speed (<100ms): Avoids slow token-by-token generation. Evaluates options in parallel to make routing/classification decisions in milliseconds. 2. 100% Self-Hostable: Run it locally on cheap hardware (even CPUs). Zero API costs and zero data leaving your servers. 3. Native Typed Outputs: Outputs structured probability distributions directly. No messy regex or JSON cleanup needed. Top Use Cases: • Fast Model Router: Route 80% of easy queries to small models and save frontier LLMs for hard tasks. • RAG Filter: Score and prune retrieved chunks in 40ms before generation. • Real-Time Guardrails: Catch prompt injections before they reach your main agent. The future of AI architecture: Local open-source models handle the fast plumbing. Frontier models handle the deep thinking. GitHub Repo 👇 https://github.com/aayushch/laya #OpenSource #AIEngineering #LLMs #MachineLearning #SystemDesign #BuildingInPublic