Instructions to use mlx-community/Devstral-Small-2-24B-Instruct-2512-6bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/Devstral-Small-2-24B-Instruct-2512-6bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Devstral-Small-2-24B-Instruct-2512-6bit mlx-community/Devstral-Small-2-24B-Instruct-2512-6bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
metadata
library_name: vllm
inference: false
base_model:
- mistralai/Mistral-Small-3.1-24B-Base-2503
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:
- mistral-common
- mlx
license: apache-2.0
mlx-community/Devstral-Small-2-24B-Instruct-2512-6bit
This model was converted to MLX format from mistralai/Devstral-Small-2-24B-Instruct-2512 using mlx-vlm version 0.3.9.
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/Devstral-Small-2-24B-Instruct-2512-6bit --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>