How to use mamung/29b84e13-2f1c-406f-9e7e-fd35b6e5ff49 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("openlm-research/open_llama_3b") model = PeftModel.from_pretrained(base_model, "mamung/29b84e13-2f1c-406f-9e7e-fd35b6e5ff49")
https://huggingface.co/mamung/29b84e13-2f1c-406f-9e7e-fd35b6e5ff49/resolve/7d55efb4b465a3db119eb6427c6f5690d86b6cbd/last-checkpoint/tokenizer.json
hf download hf://mamung/29b84e13-2f1c-406f-9e7e-fd35b6e5ff49@7d55efb4b465a3db119eb6427c6f5690d86b6cbd/last-checkpoint/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/mamung/29b84e13-2f1c-406f-9e7e-fd35b6e5ff49/resolve/7d55efb4b465a3db119eb6427c6f5690d86b6cbd/last-checkpoint/tokenizer.json
