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:
- a42eb662ec2c72cb399bd2933a758f30b604ab66f9b5d935977e978f4bdba75b
- Size of remote file:
- 5.32 GB
- SHA256:
- 1c741a03ddc261812aef50ddf291c40393d714c48f9d500478c6aa67d2534e26
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