
# Mistral-7B-v0.1

The Mistral-7B-v0.1 Large Language Model (LLM) is a pretrained generative text model with 7 billion parameters. 
Mistral-7B-v0.1 outperforms Llama 2 13B on all benchmarks we tested.

For full details of this model please read our [paper](https://arxiv.org/abs/2310.06825) and [release blog post](https://mistral.ai/news/announcing-mistral-7b/).

This repository contains the `mistral-7B-v0.1` weights in `npz` format suitable for use with Apple's MLX framework.

## Use with MLX

```bash
pip install mlx
pip install huggingface_hub hf_transfer
git clone https://github.com/ml-explore/mlx-examples.git
cd mlx-examples

# Download model
export HF_HUB_ENABLE_HF_TRANSFER=1
huggingface-cli download --local-dir-use-symlinks False --local-dir mistral-7B-v0.1 mlx-community/mistral-7B-v0.1

# Run example
python llms/mistral/mistral.py --prompt "My name is"
```

Please, refer to the [original model card](https://huggingface.co/mistralai/Mistral-7B-v0.1) for more details on Mistral-7B-v0.1.
{"license": "apache-2.0", "library_name": "mlx", "tags": ["mistral", "mlx"], "pipeline_tag": "text-generation", "inference": false}
mlx mistral text-generation arxiv:2310.06825 license:apache-2.0 region:us