Instructions to use mlx-community/Dolphin3.0-Llama3.1-8B-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/Dolphin3.0-Llama3.1-8B-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Dolphin3.0-Llama3.1-8B-8bit mlx-community/Dolphin3.0-Llama3.1-8B-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- f8311a4e14f82a640430c13b2b85ab8bd85e3ac6c5ae9bdecfe759cec1c1b0d7
- Size of remote file:
- 5.36 GB
- SHA256:
- 0723cb8ab54c6951165e5da2bc1d41ffaa05c6a8c78648dad87067e47c589b8c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.