Instructions to use baa-ai/Llama-3.3-70B-Instruct-RAM-50GB-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use baa-ai/Llama-3.3-70B-Instruct-RAM-50GB-MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Llama-3.3-70B-Instruct-RAM-50GB-MLX baa-ai/Llama-3.3-70B-Instruct-RAM-50GB-MLX
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- 5802b2f0977cb5811c379a1c913081a951558179c830d5fc4e5ee931efb0b448
- Size of remote file:
- 4.45 GB
- SHA256:
- ced3f98175d11b4022e4982c9f00acb0a3dd3ff31b670a8726eee12ff54e4fb5
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