How to use Paladiso/66034ee5-a54d-46e2-b0b2-b10a4d504ab5 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("lmsys/vicuna-7b-v1.3") model = PeftModel.from_pretrained(base_model, "Paladiso/66034ee5-a54d-46e2-b0b2-b10a4d504ab5")
https://huggingface.co/Paladiso/66034ee5-a54d-46e2-b0b2-b10a4d504ab5/resolve/3a0abd7359571aa2bc0f789756492a604ef7d22e/tokenizer.json
hf download hf://Paladiso/66034ee5-a54d-46e2-b0b2-b10a4d504ab5@3a0abd7359571aa2bc0f789756492a604ef7d22e/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/Paladiso/66034ee5-a54d-46e2-b0b2-b10a4d504ab5/resolve/3a0abd7359571aa2bc0f789756492a604ef7d22e/tokenizer.json
