Instructions to use Open4bits/Mixtral-8x7B-Instruct-v0.1-mlx-4Bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Open4bits/Mixtral-8x7B-Instruct-v0.1-mlx-4Bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Mixtral-8x7B-Instruct-v0.1-mlx-4Bit Open4bits/Mixtral-8x7B-Instruct-v0.1-mlx-4Bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
metadata
library_name: vllm
language:
- fr
- it
- de
- es
- en
license: apache-2.0
base_model: mistralai/Mixtral-8x7B-Instruct-v0.1
inference: false
widget:
- messages:
- role: user
content: What is your favorite condiment?
extra_gated_description: >-
If you want to learn more about how we process your personal data, please read
our <a href="https://mistral.ai/terms/">Privacy Policy</a>.
tags:
- vllm
- mlx