Instructions to use GreenBitAI/Qwen-2.5-7B-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-2.5-7B-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-2.5-7B-Instruct-layer-mix-bpw-4.0-mlx GreenBitAI/Qwen-2.5-7B-Instruct-layer-mix-bpw-4.0-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- 270139da765428aff5dee493f5e011998ec3c30a290bf07fe97a2a97f33e58e4
- Size of remote file:
- 4.56 GB
- SHA256:
- c611ddba6c09ec5581ffb589098e506b2213a0f7bda592375e4ed8afb895f584
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.