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---
license: apache-2.0
datasets:
- yahma/alpaca-cleaned
- cmh/alpaca_data_cleaned_fr_52k
- Magpie-Align/Magpie-Gemma2-Pro-200K-Filtered
- allenai/WildChat-1M
language:
- fr
- en
base_model: OpenLLM-France/Lucie-7B-Instruct
pipeline_tag: text-generation
tags:
- mlx
---
# mlx-community/Lucie-7B-Instruct-4bit
The Model [mlx-community/Lucie-7B-Instruct-4bit](https://huggingface.co/mlx-community/Lucie-7B-Instruct-4bit) was
converted to MLX format from [OpenLLM-France/Lucie-7B-Instruct](https://huggingface.co/OpenLLM-France/Lucie-7B-Instruct)
using mlx-lm version **0.21.1**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/Lucie-7B-Instruct-4bit")
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)
```
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