Instructions to use GreenBitAI/Qwen-2.5-72B-Instruct-layer-mix-bpw-4.0-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use GreenBitAI/Qwen-2.5-72B-Instruct-layer-mix-bpw-4.0-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Qwen-2.5-72B-Instruct-layer-mix-bpw-4.0-mlx GreenBitAI/Qwen-2.5-72B-Instruct-layer-mix-bpw-4.0-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- 5e2c3c2e111452e60c364acea2b425181db41770eed2ce2877ec89a1286e3080
- Size of remote file:
- 5.26 GB
- SHA256:
- 43f80693991cd1efe7591ffc1e2fdf4c768a9427792c0917ff05720353a7306a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.