Instructions to use voxmenthe/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 voxmenthe/SFR-Iterative-DPO-LLaMA-3-8B-R-unquantized with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download voxmenthe/SFR-Iterative-DPO-LLaMA-3-8B-R-unquantized --local-dir SFR-Iterative-DPO-LLaMA-3-8B-R-unquantized
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download tokenizer.json from voxmenthe/SFR-Iterative-DPO-LLaMA-3-8B-R-unquantized: direct link, hf CLI and curl.
- Browser
- Download file 9.09 MB
-
https://huggingface.co/voxmenthe/SFR-Iterative-DPO-LLaMA-3-8B-R-unquantized/resolve/refs%2Fpr%2F2/tokenizer.json
- Command line
-
hf download hf://voxmenthe/SFR-Iterative-DPO-LLaMA-3-8B-R-unquantized@refs/pr/2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/voxmenthe/SFR-Iterative-DPO-LLaMA-3-8B-R-unquantized/resolve/refs%2Fpr%2F2/tokenizer.json
9.09 MB
File too large to display, you can check the raw version instead.