largha for Ollaya
Ollaya package of 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.
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 | 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.