from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer

base = AutoModelForCausalLM.from_pretrained("adamo1139/aya-expanse-8b-ungated")
tok = AutoTokenizer.from_pretrained("adamo1139/aya-expanse-8b-ungated")
model = PeftModel.from_pretrained(base, "dementor-research/dpo_chatbot_arena_aya-expanse-8b_as_granite-4-h-small_seed43")

Part of the dementor matrix: 4 source models × 3 cross-targets × 3 train datasets × 3 seeds × 2 stages = 216 adapters.