---
license: cc-by-nc-4.0
language:
- nl
tags:
- gguf
- llamacpp
- dpo
- geitje
- conversational
base_model: BramVanroy/GEITje-7B-ultra
datasets:
- BramVanroy/ultra_feedback_dutch
---

<p align="center" style="margin:0;padding:0">
<img src="https://huggingface.co/BramVanroy/GEITje-7B-ultra/resolve/main/geitje-ultra-banner.png" alt="GEITje Ultra banner" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
</p>

<div style="margin:auto; text-align:center">
<h1 style="margin-bottom: 0">GEITje 7B ultra (GGUF version)</h1>
<em>A conversational model for Dutch, aligned through AI feedback.</em>
</div>

This is a  GGUF version of [BramVanroy/GEITje-7B-ultra](https://huggingface.co/BramVanroy/GEITje-7B-ultra), a powerful Dutch chatbot, which ultimately is Mistral-based model, further pretrained on Dutch and additionally treated with supervised-finetuning and DPO alignment. For more information on the model, data, licensing, usage, see the main model's README.

Available quantization types and expected performance differences compared to base `f16`, higher perplexity=worse (from llama.cpp):

```
Q3_K_M  :  3.07G, +0.2496 ppl @ LLaMA-v1-7B
Q4_K_M  :  3.80G, +0.0532 ppl @ LLaMA-v1-7B
Q5_K_M  :  4.45G, +0.0122 ppl @ LLaMA-v1-7B
Q6_K    :  5.15G, +0.0008 ppl @ LLaMA-v1-7B
Q8_0    :  6.70G, +0.0004 ppl @ LLaMA-v1-7B
F16     : 13.00G              @ 7B
```

Also available on [ollama](https://ollama.com/bramvanroy/geitje-7b-ultra).

Quants were made with release [`b2777`](https://github.com/ggerganov/llama.cpp/releases/tag/b2777) of llama.cpp.


## Usage

### LM Studio

You can use this model in [LM Studio](https://lmstudio.ai/), an easy-to-use interface to locally run optimized models. Simply search for `BramVanroy/GEITje-7B-ultra-GGUF`, and download the available file.

### Ollama

The model is available on [`ollama`](https://ollama.com/bramvanroy/geitje-7b-ultra).