Instructions to use Ngit/open-buddy-70b-v10.1-train-4bits-lima with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Ngit/open-buddy-70b-v10.1-train-4bits-lima with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("OpenBuddy/openbuddy-llama2-70b-v10.1-bf16") model = PeftModel.from_pretrained(base_model, "Ngit/open-buddy-70b-v10.1-train-4bits-lima") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eb0da7497d06501a47cf40bc87ba35ef97153a9dd38d6c99c3276237ecaf8c7a
- Size of remote file:
- 4.66 kB
- SHA256:
- 952f212c0d4dfaa86bfac79ddb1196668de994366376e8c169b88ef42e12dcf1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.