Laya fine-tuned for banking support intents
A checkpoint trained on PolyAI's 77-intent Banking77 dataset for customer-support classification.
BUILDS
6 builds made with System One models.
Agents, routers, scorers and games — built on models that decide. Every entry links to the models it uses, so you can pull the same one and start from there.
6 builds
A morning of real work on Laya-MLX
FrontierMind used the offline model on a MacBook Air for inbox triage, tagging 100 SAP decks and sorting blog posts, at zero cost per call.
Sorting 1,000 emails into six folders with Laya on a MacBook Air
Dima Nurm ran the 322M Laya model locally on an M3 Air and filed 1,000 synthetic emails into six folders in 28.6 seconds, at no cost.
One Google ADK triage agent, two engines: Jev vs Laya
Madhav Sharma kept the agent and 30 labeled tickets fixed and swapped only the model: Jev reached 53% at 422 ms, Laya 10% at 152 ms.
Laya Serve: a macOS menu-bar server for n8n
A Homebrew-installed menu-bar app exposing an OpenAI-compatible endpoint, so n8n's Text Classifier gets Laya decisions in about 40 ms.
Laya demo Space: eight workflows, nothing to install
A Gradio demo on Hugging Face covering email triage, phishing detection, guardrails, ticket routing, RAG filtering and multilingual routing.
Many of the first builds here were collected by madewithlaya.com. Every entry links to its creator’s own post, repository or site.