Instructions to use Fmuaddib/Qwen2.5-14B-Instruct-Uncensored-mlx-8Bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Fmuaddib/Qwen2.5-14B-Instruct-Uncensored-mlx-8Bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Qwen2.5-14B-Instruct-Uncensored-mlx-8Bit Fmuaddib/Qwen2.5-14B-Instruct-Uncensored-mlx-8Bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- 0d3f99960b7f135b62bdaa0a58e1805bc793cd77f7c236923be47533870c2408
- Size of remote file:
- 5.34 GB
- SHA256:
- a42727ab28280ea2fefeb798ec9480873633b48e59ec055f1821a825f6af6697
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