mlx safetensors mistral generated_from_trainer GEITje conversational nl dataset:Rijgersberg/no_robots_nl dataset:Rijgersberg/ultrachat_10k_nl dataset:BramVanroy/dutch_chat_datasets base_model:Rijgersberg/GEITje-7B license:apache-2.0 region:us
---
language:
- nl
license: apache-2.0
tags:
- generated_from_trainer
- GEITje
- mlx
datasets:
- Rijgersberg/no_robots_nl
- Rijgersberg/ultrachat_10k_nl
- BramVanroy/dutch_chat_datasets
base_model: Rijgersberg/GEITje-7B
pipeline_tag: conversational
model-index:
- name: GEITje-7B-chat-v2
  results: []
---

# Rijgersberg/GEITje-7B-chat-v2-mlx
This model was converted to MLX format from [`Rijgersberg/GEITje-7B-chat-v2`]().
Refer to the [original model card](https://huggingface.co/Rijgersberg/GEITje-7B-chat-v2) for more details on the model.
## Use with mlx

```bash
pip install mlx-lm
```

```python
from mlx_lm import load, generate

model, tokenizer = load("Rijgersberg/GEITje-7B-chat-v2-mlx")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```
