Instructions to use mlx-community/Qwen3.5-2B-MLX-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/Qwen3.5-2B-MLX-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Qwen3.5-2B-MLX-4bit mlx-community/Qwen3.5-2B-MLX-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download model.safetensors from mlx-community/Qwen3.5-2B-MLX-4bit: direct link, hf CLI and curl.
- Browser
- Download file 1.72 GB
-
https://huggingface.co/mlx-community/Qwen3.5-2B-MLX-4bit/resolve/main/model.safetensors
- Command line
-
hf download hf://mlx-community/Qwen3.5-2B-MLX-4bit/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/mlx-community/Qwen3.5-2B-MLX-4bit/resolve/main/model.safetensors
1.72 GB
- Xet hash:
- ff368f972921105437a858ea11a0fec2c5d73c207053256233fdeeeb6320d781
- Size of remote file:
- 1.72 GB
- SHA256:
- 713fe7e5d3c3965f7106b0d0ee17615f7869c23c8d327996df8c1196fbcf07d5
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