decider for Ollaya
Ollaya package of Mapika/decider-4b and Mapika/decider-2b and Mapika/decider-2b-vision and Mapika/decider-0.8b by Mapika. Ollaya runs open decision models locally, the way Ollama runs LLMs: typed questions in, calibrated answers out, behind a TypeSafe-compatible API.
ollaya run decider
What is in this repository
This repository holds only the files Ollaya derives, with no weights. Each graph is an ONNX export of the
original model whose weights reference the authors' own weight files by byte offset,
so ollaya pull downloads the weights from the upstream repositories, unmodified and pinned to a
commit, and verifies their sha256.
| Tag | Upstream | Files |
|---|---|---|
decider:4b |
Mapika/decider-4b@eb5fbdf | 4b/model-fp32.onnx, 4b/decision.json, 4b/calibration.json |
decider:2b |
Mapika/decider-2b@9839cc9 | 2b/model-fp32.onnx, 2b/decision.json, 2b/calibration.json |
decider:2b-vision |
Mapika/decider-2b-vision@863e290 | 2b-vision/model-fp32.onnx, 2b-vision/vision-fp32.onnx, 2b-vision/decision.json, 2b-vision/calibration.json |
decider:0.8b |
Mapika/decider-0.8b@a0a01d6 | 0.8b/model-fp32.onnx, 0.8b/decision.json, 0.8b/calibration.json |
Each tag has an fp32 graph, used on CPU and GPU. Each tag also has decision.json (sequence layout, special tokens) and
calibration.json (temperatures).
Parity
Ollaya's Rust runtime matches the Python reference exactly on 479 questions (902 rows) per model. The token ids and answer-slot positions are identical, and so is the decision on every question. Probabilities are within 6.3e-6, on CPU and CUDA.
License
Same as the upstream model (Apache-2.0). Ollaya itself is Apache-2.0.