| --- |
| license: apache-2.0 |
| base_model: |
| - PostHog/jeeves |
| library_name: onnx |
| tags: |
| - ollaya |
| - onnx |
| - decision-model |
| - system-one |
| pipeline_tag: text-classification |
| --- |
| |
| # jeeves for Ollaya |
|
|
| [Ollaya](https://github.com/ollaya-dev/ollaya) package of **[PostHog/jeeves](https://huggingface.co/PostHog/jeeves)** by PostHog (fused weights and pointer 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 jeeves |
| ``` |
|
|
| ## 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 | |
| |---|---|---| |
| | `jeeves:9b` | [PostHog/jeeves@8622b7d](https://huggingface.co/PostHog/jeeves/tree/8622b7d1652a9dcb8629486b84dce9e8d690c5cd) | `9b/model-fp32.onnx`, `9b/decision.json`, `9b/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 (their Qwen3.5 model and pointer head, fp32, no thinking) on 430 questions from 107 requests, on CUDA: identical token rows and option positions, the same 16 rejected requests, the same decision on every question, scores within 1.9e-4 and probabilities within 1.4e-5. |
|
|
| ## License |
|
|
| Same as the upstream model (Apache-2.0). Ollaya itself is Apache-2.0. |
|
|
