File size: 1,841 Bytes
a0a113e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 | ---
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.
|