---
language:
- fr
- it
- de
- es
- en
license: apache-2.0
library_name: mlx
tags:
- moe
inference: false
---
# Model Card for Mixtral-8x7B
The Mixtral-8x7B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts. The Mixtral-8x7B outperforms Llama 2 70B on most benchmarks we tested.

For full details of this model please read our [release blog post](https://mistral.ai/news/mixtral-of-experts/).

## Instruction format

This format must be strictly respected, otherwise the model will generate sub-optimal outputs.

The template used to build a prompt for the Instruct model is defined as follows:
```
<s> [INST] Instruction [/INST] Model answer</s> [INST] Follow-up instruction [/INST]
```
Note that `<s>` and `</s>` are special tokens for beginning of string (BOS) and end of string (EOS) while [INST] and [/INST] are regular strings.

## Run the model

```bash
# Install mlx, mlx-examples, huggingface-cli
pip install mlx
pip install huggingface_hub hf_transfer
git clone https://github.com/ml-explore/mlx-examples.git

# Download model
export HF_HUB_ENABLE_HF_TRANSFER=1
huggingface-cli download --local-dir Mixtral-8x7B-Instruct-v0.1 mlx-community/Mixtral-8x7B-Instruct-v0.1

# Run example
python mlx-examples/mixtral/mixtral.py --model_path Mixtral-8x7B-Instruct-v0.1
```