argilla/ultrafeedback-binarized-preferences-cleaned
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How to use hai2131/lab22-dpo-vn with PEFT:
from peft import PeftModel
from transformers import AutoModelForCausalLM
base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-3B-bnb-4bit")
model = PeftModel.from_pretrained(base_model, "hai2131/lab22-dpo-vn")This repository contains the PEFT adapter produced by Lab 22. It must be loaded
on top of unsloth/Qwen2.5-3B-bnb-4bit. The model was first adapted with the lab's Vietnamese
SFT-mini checkpoint, then preference-aligned with DPO.
r=16, lora_alpha=32)See the public Lab 22 repository for the eight-prompt SFT-vs-DPO comparison,
judge verdicts, β-sweep, and data/eval/benchmark_results.json covering IFEval,
GSM8K, sampled MMLU, and AlpacaEval-lite.
This is an educational, experimental adapter, not a production or safety-certified model. It may hallucinate, reflect preference-dataset biases, and perform worse on reasoning benchmarks due to alignment tax. Validate outputs before consequential use.