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:
- d7bc2f9f17d41ff1fdf9289c906ef638eda96c137ad7b5e0173122f49a138639
- Size of remote file:
- 5.37 GB
- SHA256:
- 375c300b75c29ef55b77e31dd5d72a5fb4140b99b06ee109b0faab794dc620b0
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