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:
- 6c0a294d6f0290577879aed8b7e59f8ee01685a3798973b53ee0448564f5be19
- Size of remote file:
- 5.27 GB
- SHA256:
- 1f44e8a5ec349c12800f42a6ab2939e28a5ee4eaf7aa85fc321ef70e5e135ec3
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