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
66309823c9e31d074330939dc5b253f0d66751b1a100f9c9aa66b0ec8600996f
Browse files
model-00003-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6afcfc1f720ba13b0b6b15ea97d49ca7c8cac205f8e952f7e88bf27bea265c59
|
| 3 |
+
size 4362258684
|