Instructions to use dumtjul/Ministral-3-3B-Instruct-2512-mlx-mxfp8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use dumtjul/Ministral-3-3B-Instruct-2512-mlx-mxfp8 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Ministral-3-3B-Instruct-2512-mlx-mxfp8 dumtjul/Ministral-3-3B-Instruct-2512-mlx-mxfp8
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
Converted from mistralai/Ministral-3-3B-Instruct-2512-BF16 using mlx_lm.convert with --q-mode mxfp8 --q-group-size 32 on 2026-03-05, 21:51.
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Model size
1B params
Tensor type
U8
路
U32 路
BF16 路
Hardware compatibility
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8-bit
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Model tree for dumtjul/Ministral-3-3B-Instruct-2512-mlx-mxfp8
Base model
mistralai/Ministral-3-3B-Base-2512