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:
- 14d84ffc2ac690df87e51ab23270c3db05fcb7f497a09d664080cefd98ddd592
- Size of remote file:
- 2.94 GB
- SHA256:
- c54236e4c8a5b76b3b06b22c67966a17d5a2278a06722680927c909dde74f70e
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