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
Commit History
-
Upload folder using huggingface_hub (#2)
Verified signature- 458f966c46675e12ed8c4ffe6dc456d904e40a087f2421c648349d6a58e2f704 (be1347938f9dc2abd1a153a1ad5f9363be18caf3) - bbe341cee9c8ca14520e14f412fb2b2261058bed61709c5010add321f6c94b1b (1fe3e4809d4c283244c692d263caf33a5a4b5d8b) - 97862d76ab2f7a04b4a20bf9f461c0738a6c9be367ddcd86863bcd511a978a1d (7f3cdeb31c2acab2d6a6fb7fe823b7e31a6ff5b1) - 3e8bc5d24ea8dd3e3cff432941832af2370554918ed4c4398ecc0acfbec6f208 (8c7d15ea539cae763a870155d6c4c4e45d2c9b7f) - 66309823c9e31d074330939dc5b253f0d66751b1a100f9c9aa66b0ec8600996f (a18a64030cea925d348bec5f17296c10c24f54a1) - 185dbfa56028db547a1fcf963ecfbf2f78cf02a3e663763e94cebe8d2059a06a (4336038cd6df86880e1eb5ad2616ed2e8e79ba91)48a93df
-
initial commit
Verified signaturec11b8cd