How to use aleegis/67010efc-a612-4ce2-9ccb-1f86489f5a3c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("JackFram/llama-160m") model = PeftModel.from_pretrained(base_model, "aleegis/67010efc-a612-4ce2-9ccb-1f86489f5a3c")
https://huggingface.co/aleegis/67010efc-a612-4ce2-9ccb-1f86489f5a3c/resolve/601a84ae067da85b8fc6124503e7b747c612ae60/tokenizer.json
hf download hf://aleegis/67010efc-a612-4ce2-9ccb-1f86489f5a3c@601a84ae067da85b8fc6124503e7b747c612ae60/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/aleegis/67010efc-a612-4ce2-9ccb-1f86489f5a3c/resolve/601a84ae067da85b8fc6124503e7b747c612ae60/tokenizer.json
