Instructions to use ccy1213/XMainframe-v2-Instruct-32b-mlx-8Bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use ccy1213/XMainframe-v2-Instruct-32b-mlx-8Bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir XMainframe-v2-Instruct-32b-mlx-8Bit ccy1213/XMainframe-v2-Instruct-32b-mlx-8Bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- c3dd06c46e25d04585ff068df41a05b9d70cfd885f0736684db0bb0426e499b7
- Size of remote file:
- 11.4 MB
- SHA256:
- a6bb14bec6e315da0ae3c38be6fe6fbce3a9d8bcc8d417c60fc6cee9992bb67e
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