| --- |
| 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. |
|
|
