---
license: apache-2.0
datasets:
- CohereForAI/aya_dataset
- argilla/databricks-dolly-15k-curated-multilingual
- Gael540/dataSet_ens_sup_fr-v1
- ai2-adapt-dev/flan_v2_converted
- OpenAssistant/oasst1
language:
- fr
- en
- de
- it
- es
base_model: OpenLLM-France/Lucie-7B-Instruct-human-data
pipeline_tag: text-generation
tags:
- mlx
---

# alexgusevski/Lucie-7B-Instruct-human-data-q8-mlx

The Model [alexgusevski/Lucie-7B-Instruct-human-data-q8-mlx](https://huggingface.co/alexgusevski/Lucie-7B-Instruct-human-data-q8-mlx) was
converted to MLX format from [OpenLLM-France/Lucie-7B-Instruct-human-data](https://huggingface.co/OpenLLM-France/Lucie-7B-Instruct-human-data)
using mlx-lm version **0.21.4**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("alexgusevski/Lucie-7B-Instruct-human-data-q8-mlx")

prompt = "hello"

if tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)
```