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:
- 6e3c1a12d8a15eb5057fe9982cd2971dc14fa128cd09d2519296fd5838785248
- Size of remote file:
- 5.36 GB
- SHA256:
- f25279aaf2d62175de0932e3a878f424d3e1bd5a006296c60d97a00a1b446bcd
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