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license: apache-2.0
base_model:
- alibiserikbay/JevK5-GGUF
tags:
- ollaya
- gguf
- llama.cpp
- decision-model
- system-one
pipeline_tag: text-classification
---
# jevk5 for Ollaya
[Ollaya](https://github.com/ollaya-dev/ollaya) package of **[alibiserikbay/JevK5-GGUF](https://huggingface.co/alibiserikbay/JevK5-GGUF)** by alibiserikbay.
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 jevk5
```
## 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 |
|---|---|---|
| `jevk5:4b` | [alibiserikbay/JevK5-GGUF@ec67b0b](https://huggingface.co/alibiserikbay/JevK5-GGUF/tree/ec67b0bfce5119a8b11a2cdb430bb43e3fa3e82a) `jevk5-4b-v0.3-Q8_0.gguf` | `4b/decision.json`, `4b/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): 593 questions, every decision the same, option logits within 7.7e-6 and probabilities within 1.6e-6. The prompts are byte-identical to the author's jevk5.prompt.
## License
Same as the upstream model (Apache-2.0). Ollaya itself is Apache-2.0.
|