Instructions to use timlim123/zephyr-7b-sft-qlora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use timlim123/zephyr-7b-sft-qlora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1") model = PeftModel.from_pretrained(base_model, "timlim123/zephyr-7b-sft-qlora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7b7b95c74371131dbb5870cb4f3411fd5f9c8c3143dcc2dbec864b3a17abfe86
- Size of remote file:
- 83.9 MB
- SHA256:
- da2792691e0ecb534cd525bf38532cbda6aac775cfb72986fbce95c8ed95d944
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.