Instructions to use mlx-community/Mistral-Small-3.1-24B-Instruct-2503-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/Mistral-Small-3.1-24B-Instruct-2503-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Mistral-Small-3.1-24B-Instruct-2503-4bit mlx-community/Mistral-Small-3.1-24B-Instruct-2503-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
mlx-community/Mistral-Small-3.1-24B-Instruct-2503-4bit
This model was converted to MLX format from prince-canuma/Mistral-Small-3.1-24B-Instruct-2503 using mlx-vlm version 0.1.19.
Refer to the original model card for more details on the model.
Use with mlx
pip install -U mlx-vlm
python -m mlx_vlm.generate --model mlx-community/Mistral-Small-3.1-24B-Instruct-2503-4bit --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
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Hardware compatibility
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Model tree for mlx-community/Mistral-Small-3.1-24B-Instruct-2503-4bit
Base model
mistralai/Mistral-Small-3.1-24B-Base-2503