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:
- c5e6a91e3919091d9e8452fbb943c973c8c61c8093e796a176b602e7480ee95f
- Size of remote file:
- 5.24 GB
- SHA256:
- 9e213e90028e0beab91b825fa9d4b52b4000628116d2cdeb0d8ad7e35d3cda3e
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