Instructions to use mlx-community/Mistral-Nemo-Instruct-2407-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/Mistral-Nemo-Instruct-2407-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Mistral-Nemo-Instruct-2407-4bit mlx-community/Mistral-Nemo-Instruct-2407-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
metadata
language:
- en
- fr
- de
- es
- it
- pt
- ru
- zh
- ja
license: apache-2.0
tags:
- mlx
mlx-community/Mistral-Nemo-Instruct-2407-4bit
The Model mlx-community/Mistral-Nemo-Instruct-2407-4bit was converted to MLX format from mistralai/Mistral-Nemo-Instruct-2407 using mlx-lm version 0.16.0.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/Mistral-Nemo-Instruct-2407-4bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)