How to use demohong/e54ae9d9-8b9e-4f4d-9a5e-debe4a11be2a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("OpenBuddy/openbuddy-llama2-13b-v8.1-fp16") model = PeftModel.from_pretrained(base_model, "demohong/e54ae9d9-8b9e-4f4d-9a5e-debe4a11be2a")
https://huggingface.co/demohong/e54ae9d9-8b9e-4f4d-9a5e-debe4a11be2a/resolve/main/tokenizer.json
hf download hf://demohong/e54ae9d9-8b9e-4f4d-9a5e-debe4a11be2a/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/demohong/e54ae9d9-8b9e-4f4d-9a5e-debe4a11be2a/resolve/main/tokenizer.json
