| --- |
| license: apache-2.0 |
| base_model: |
| - knowledgator/gliclass-instruct-large-v1.0 |
| library_name: onnx |
| tags: |
| - ollaya |
| - onnx |
| - decision-model |
| - system-one |
| pipeline_tag: text-classification |
| --- |
| |
| # gliclass for Ollaya |
|
|
| [Ollaya](https://github.com/ollaya-dev/ollaya) package of **[knowledgator/gliclass-instruct-large-v1.0](https://huggingface.co/knowledgator/gliclass-instruct-large-v1.0)** by Knowledgator. |
| 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 gliclass |
| ``` |
|
|
| ## 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 author's own `model.safetensors` by byte offset**, |
| so `ollaya pull` downloads the weights from the upstream repository, unmodified and pinned to a |
| commit, and verifies their sha256. |
|
|
| | Tag | Upstream | Files | |
| |---|---|---| |
| | `gliclass:large` | [knowledgator/gliclass-instruct-large-v1.0@825e547](https://huggingface.co/knowledgator/gliclass-instruct-large-v1.0/tree/825e5478c1bf4bffbf297690517097ccbdb2e006) | `large/model-fp32.onnx`, `large/decision.json`, `large/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 482 questions. The token ids and label positions are identical, and so is the decision on every question. Probabilities are within 1e-5, on CPU and CUDA. |
|
|
| ## License |
|
|
| Same as the upstream model (Apache-2.0). Ollaya itself is Apache-2.0. |
|
|
