Instructions to use Open4bits/Ministral-3-3B-Base-2512-mlx-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Open4bits/Ministral-3-3B-Base-2512-mlx-fp16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download Open4bits/Ministral-3-3B-Base-2512-mlx-fp16 --local-dir Ministral-3-3B-Base-2512-mlx-fp16
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
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Download README.md from Open4bits/Ministral-3-3B-Base-2512-mlx-fp16: direct link, hf CLI and curl.
- Browser
- Download file 387 Bytes
-
https://huggingface.co/Open4bits/Ministral-3-3B-Base-2512-mlx-fp16/resolve/main/README.md
- Command line
-
hf download hf://Open4bits/Ministral-3-3B-Base-2512-mlx-fp16/README.md
-
curl -L -o README.md https://huggingface.co/Open4bits/Ministral-3-3B-Base-2512-mlx-fp16/resolve/main/README.md
387 Bytes
metadata
library_name: vllm
language:
- en
- fr
- es
- de
- it
- pt
- nl
- zh
- ja
- ko
- ar
license: apache-2.0
inference: false
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
- open4bits
base_model: mistralai/Ministral-3-3B-Base-2512