| --- |
| license: apache-2.0 |
| base_model: |
| - Phocinae/Phocinae-Largha-150M-v1 |
| library_name: onnx |
| tags: |
| - ollaya |
| - onnx |
| - decision-model |
| - system-one |
| pipeline_tag: text-classification |
| --- |
| |
| # largha for Ollaya |
|
|
| [Ollaya](https://github.com/ollaya-dev/ollaya) package of **[Phocinae/Phocinae-Largha-150M-v1](https://huggingface.co/Phocinae/Phocinae-Largha-150M-v1)** by Phocinae. |
| 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 largha |
| ``` |
|
|
| ## 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 | |
| |---|---|---| |
| | `largha:150m` | [Phocinae/Phocinae-Largha-150M-v1@5300e85](https://huggingface.co/Phocinae/Phocinae-Largha-150M-v1/tree/5300e85a7d991f4f0cdb68dc25813f76902752d4) | `150m/model-fp32.onnx`, `150m/model-fp16.onnx`, `150m/decision.json`, `150m/calibration.json` | |
|
|
| Each tag has an fp32 graph (CPU) and an fp16 graph (GPU). Each tag also has `decision.json` (sequence layout, special tokens) and |
| `calibration.json` (temperatures). |
|
|
| ## Parity |
|
|
| Ollaya's runtime matches laya's own loader (0.3.7, which renders TypeSafe questions as the 0.3.20 Largha was trained with) on the v1.1 checkpoint in fp32: 2,383 questions, identical token ids and markers, the same decision on every question, probabilities within 3.5e-6 on the CPU, CUDA and the Apple GPU (MLX). The fp16 graph agrees on 99.87% of decisions (3 near-ties). |
|
|
| ## License |
|
|
| Same as the upstream model (Apache-2.0). Ollaya itself is Apache-2.0. |
|
|
