Instructions to use mlx-community/SFR-Iterative-DPO-LLaMA-3-8B-R-unquantized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/SFR-Iterative-DPO-LLaMA-3-8B-R-unquantized with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir SFR-Iterative-DPO-LLaMA-3-8B-R-unquantized mlx-community/SFR-Iterative-DPO-LLaMA-3-8B-R-unquantized
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
97862d76ab2f7a04b4a20bf9f461c0738a6c9be367ddcd86863bcd511a978a1d
Browse files
model-00002-of-00002.safetensors
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size 2285900441
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