Instructions to use Fmuaddib/Meissa-Qwen2.5-14B-Instruct-mlx-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Fmuaddib/Meissa-Qwen2.5-14B-Instruct-mlx-fp16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Meissa-Qwen2.5-14B-Instruct-mlx-fp16 Fmuaddib/Meissa-Qwen2.5-14B-Instruct-mlx-fp16
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
- Xet hash:
- 12682bfd98137d51e1fa90f507cd57ee806616d339fa28bcb3b5f7f9a39d8e9e
- Size of remote file:
- 5.36 GB
- SHA256:
- d5a0731cf1e5bd0497eef29edf667dd7f034d880161e33f74dc2e5a900c8a3dc
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