Instructions to use typealias/SFR-Iterative-DPO-Llama-3-8B-R-mx-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use typealias/SFR-Iterative-DPO-Llama-3-8B-R-mx-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download typealias/SFR-Iterative-DPO-Llama-3-8B-R-mx-4bit --local-dir SFR-Iterative-DPO-Llama-3-8B-R-mx-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download tokenizer.json from typealias/SFR-Iterative-DPO-Llama-3-8B-R-mx-4bit: direct link, hf CLI and curl.
- Browser
- Download file 9.09 MB
-
https://huggingface.co/typealias/SFR-Iterative-DPO-Llama-3-8B-R-mx-4bit/resolve/main/tokenizer.json
- Command line
-
hf download hf://typealias/SFR-Iterative-DPO-Llama-3-8B-R-mx-4bit/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/typealias/SFR-Iterative-DPO-Llama-3-8B-R-mx-4bit/resolve/main/tokenizer.json
9.09 MB
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