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license: apache-2.0
base_model:
- Cloudflare/clef-flash
library_name: onnx
tags:
- ollaya
- onnx
- decision-model
- system-one
pipeline_tag: text-classification
---
# clef for Ollaya
[Ollaya](https://github.com/ollaya-dev/ollaya) package of **[Cloudflare/clef-flash](https://huggingface.co/Cloudflare/clef-flash)** by Cloudflare (post-trained model and joint schema head) and the Qwen team (base model).
Ollaya runs open decision models locally, the way Ollama runs LLMs: typed questions in,
calibrated answers out, behind a TypeSafe-compatible API.
```sh
ollaya run clef
```
## 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 |
|---|---|---|
| `clef:flash` | [Cloudflare/clef-flash@17f0b0a](https://huggingface.co/Cloudflare/clef-flash/tree/17f0b0ad64efb65d273590632833508766b2aae6) | `flash/model-fp32.onnx`, `flash/decision.json`, `flash/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 authors' own code (joint_schema_model.py: their encoder, Qwen3.5 model and joint schema head, fp32) on 571 questions from 131 requests, on CUDA: identical token ids and spans, the same 13 rejected requests, the same decision on every question, logits within 4.3e-5 and probabilities within 6.3e-6.
## License
Same as the upstream model (Apache-2.0). Ollaya itself is Apache-2.0.
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