Instructions to use Lowkey-Loki/Codestral-22b-v0.1-mlx-3_6bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Lowkey-Loki/Codestral-22b-v0.1-mlx-3_6bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Codestral-22b-v0.1-mlx-3_6bit Lowkey-Loki/Codestral-22b-v0.1-mlx-3_6bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
Quantized 3_6bit MLX version of https://huggingface.co/mistralai/Codestral-22B-v0.1 that performs better than regular 3bit MLX quants with a slightly larger size. Converted using mlx-lm 0.22.2
- Downloads last month
- 80
Model size
3B params
Tensor type
F16
·
U32 ·
Hardware compatibility
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4-bit
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Model tree for Lowkey-Loki/Codestral-22b-v0.1-mlx-3_6bit
Base model
mistralai/Codestral-22B-v0.1