README.md

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title: README
emoji: 🦉
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sdk: static
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Ollaya

Run open decision models locally, the way Ollama runs LLMs. Typed questions in, calibrated answers out, in milliseconds, behind a TypeSafe-compatible API.

curl -fsSL https://ollaya.dev/install.sh | sh
ollaya run laya --preset triage "I was charged twice this month and want a refund."

Model	Based on
laya	convaiinnovations/laya	The fastest: 8–10 ms for five questions on an RTX 4090. English and 100+ languages.
decider	Mapika/decider-2b, 0.8b	The most accurate. Qwen3.5 decoders.
nli	MoritzLaurer/deberta-v3-large-zeroshot-v2.0, ModernBERT-large	Zero-shot NLI, the most accurate encoder.
gliclass	knowledgator/gliclass-instruct-large-v1.0	Instruction-following zero-shot classifier.

These repositories hold only what Ollaya derives: weightless ONNX graphs and decision configs. The graphs read the weights from the authors' own model.safetensors, pinned to a commit and verified by sha256. Ollaya never re-hosts weights.

Website · Models · Docs · GitHub

Apache-2.0. Independent project, not affiliated with Ollama or TypeSafe.