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:
- 7ff3bc30330db101527bbd527985a98d648a38db8ccc76699ba23073353a6338
- Size of remote file:
- 5.35 GB
- SHA256:
- 6f79c8646e1a3651418465862fd3b2e1babaa04e3b3af1cb35e43bd6ee4de0f0
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