---
license: apache-2.0
pipeline_tag: text-generation
language:
- fr
- en
tags:
- pretrained
- llama-3
- openllm-france
- mlx
datasets:
- cmh/alpaca_data_cleaned_fr_52k
- OpenLLM-France/Croissant-Aligned-Instruct
- Gael540/dataSet_ens_sup_fr-v1
- ai2-adapt-dev/flan_v2_converted
- teknium/OpenHermes-2.5
- allenai/tulu-3-sft-personas-math
- allenai/tulu-3-sft-personas-math-grade
- allenai/WildChat-1M
base_model: OpenLLM-France/Lucie-7B-Instruct-v1.1
widget:
- text: 'Quelle est la capitale de l''Espagne ? Madrid.

    Quelle est la capitale de la France ?'
  example_title: Capital cities in French
  group: 1-shot Question Answering
training_progress:
  context_length: 32000
---

# alexgusevski/Lucie-7B-Instruct-v1.1-q4-mlx

The Model [alexgusevski/Lucie-7B-Instruct-v1.1-q4-mlx](https://huggingface.co/alexgusevski/Lucie-7B-Instruct-v1.1-q4-mlx) was
converted to MLX format from [OpenLLM-France/Lucie-7B-Instruct-v1.1](https://huggingface.co/OpenLLM-France/Lucie-7B-Instruct-v1.1)
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-v1.1-q4-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)
```