Laya fine-tuned for banking support intents
A checkpoint trained on PolyAI's 77-intent Banking77 dataset for customer-support classification.
BUILDS
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.
10 builds
A checkpoint trained on PolyAI's 77-intent Banking77 dataset for customer-support classification.
An Arabic checkpoint trained on MASSIVE and XNLI for language understanding, with a companion ranking model for retrieval.
A Myanmar-language checkpoint trained on SIB-200, published with a Gradio demo.
Google's LiteRT community conversion of the multilingual checkpoint, for on-device text classification.
AXERA-TECH converted all three checkpoints for its AX650 and AX8850 chips.
GGUF conversions of the English and multilingual models for llama.cpp-style local runtimes.
An experimental vision variant that keeps Laya's question format but takes an image as its input.
A Gradio demo on Hugging Face covering email triage, phishing detection, guardrails, ticket routing, RAG filtering and multilingual routing.
Chooses the next web action with Laya, trained and evaluated on the Mind2Web benchmark; the weights are on Hugging Face.
An ONNX export that runs wherever onnxruntime does, from browsers to edge boxes, later joined by an fp16 variant.
Many of the first builds here were collected by madewithlaya.com. Every entry links to its creator’s own post, repository or site.