---
license: apache-2.0
base_model:
- frontier-infra/jebadiah-4b-v2-GGUF
- frontier-infra/jebadiah-9b-v2-GGUF
- frontier-infra/jebadiah-27b-GGUF
tags:
- ollaya
- gguf
- llama.cpp
- decision-model
- system-one
pipeline_tag: text-classification
---

# jeb for Ollaya

[Ollaya](https://github.com/ollaya-dev/ollaya) package of **[frontier-infra/jebadiah-4b-v2-GGUF](https://huggingface.co/frontier-infra/jebadiah-4b-v2-GGUF)** and **[frontier-infra/jebadiah-9b-v2-GGUF](https://huggingface.co/frontier-infra/jebadiah-9b-v2-GGUF)** and **[frontier-infra/jebadiah-27b-GGUF](https://huggingface.co/frontier-infra/jebadiah-27b-GGUF)** by Jason Brashear, AINode (frontier-infra).
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 jeb
```

## What is in this repository

This repository holds only the files Ollaya derives, with no weights. The model is the authors' own GGUF
file: `ollaya pull` downloads it from their repository, unmodified and pinned to a commit, verifies its
sha256, and Ollaya runs it on llama.cpp.

| Tag | The authors' GGUF | Files |
|---|---|---|
| `jeb:4b` | [frontier-infra/jebadiah-4b-v2-GGUF@7f671f9](https://huggingface.co/frontier-infra/jebadiah-4b-v2-GGUF/tree/7f671f9a31827257c26401000484e154b39417e6) `jebadiah-4b-v2-Q8_0.gguf` | `4b/decision.json`, `4b/calibration.json` |
| `jeb:9b` | [frontier-infra/jebadiah-9b-v2-GGUF@adaec6b](https://huggingface.co/frontier-infra/jebadiah-9b-v2-GGUF/tree/adaec6b3d1f0421706deb49fa275ab49093982ff) `jebadiah-9b-v2-Q8_0.gguf` | `9b/decision.json`, `9b/calibration.json` |
| `jeb:27b` | [frontier-infra/jebadiah-27b-GGUF@7451e61](https://huggingface.co/frontier-infra/jebadiah-27b-GGUF/tree/7451e611a20ce3f56dd7d87f78c8a25b736c08f5) `jebadiah-27b-Q4_K_M.gguf` | `27b/decision.json`, `27b/calibration.json` |

Each tag has `decision.json` (the prompt, the option labels Ollaya reads and llama.cpp's settings) and
`calibration.json` (temperatures).

## Parity

Ollaya's runner matches stock llama-server of the pinned build (b11146) on the same GGUF, CUDA (RTX 4090): 494 questions per model, every decision the same, option logits within 7.7e-6 and probabilities within 2.4e-6. The prompts are identical to the authors' jebadiah_prompt.Renderer on 1,349 test prompts.

## License

Same as the upstream model (Apache-2.0). Ollaya itself is Apache-2.0.