ollaya-dev/winnow
Text Classification • Updated
None defined yet.
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.