from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer

base = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.6-27B")
tok = AutoTokenizer.from_pretrained("Qwen/Qwen3.6-27B")
model = PeftModel.from_pretrained(base, "dementor-research/dpo_oasst1_qwen3.6-27b_as_granite-4-h-small_seed42")

The named campaign contains 12 models, 4 datasets, and 1 seed(s), yielding 528 configured cells for this stage. See config.yaml in the code release for the exact cohort and hyperparameters.