Instructions to use HeZ/phi-3-mini-QLoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use HeZ/phi-3-mini-QLoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3-mini-4k-instruct") model = PeftModel.from_pretrained(base_model, "HeZ/phi-3-mini-QLoRA") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from HeZ/phi-3-mini-QLoRA: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/HeZ/phi-3-mini-QLoRA/resolve/main/training_args.bin
- Command line
-
hf download hf://HeZ/phi-3-mini-QLoRA/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/HeZ/phi-3-mini-QLoRA/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- 6b1506e17921934aa6846d92790a995843b3b969c71e55e073d888e04649221e
- Size of remote file:
- 5.43 kB
- SHA256:
- cad99856d0a2b8bb47011df1e87007be69a3d7b82c82bbfe3c5e1e3a7d2c5c05
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.