Instructions to use Sfsfsfdfd/lab22-dpo-vn-qwen2-5-3b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Sfsfsfdfd/lab22-dpo-vn-qwen2-5-3b-lora 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, "Sfsfsfdfd/lab22-dpo-vn-qwen2-5-3b-lora") - Notebooks
- Google Colab
- Kaggle
Lab22 DPO Vietnamese LoRA Adapter
This repository contains the DPO LoRA adapter produced for the Day 22 DPO Alignment Lab.
Base model
unsloth/Qwen2.5-3B-bnb-4bit
Training pipeline
- Mini SFT stage
- Preference dataset creation with
prompt,chosen, andrejected - DPO training
- Side-by-side comparison
- GGUF export and smoke test
Adapter type
This is a PEFT/LoRA adapter, not a full merged model.
Intended use
Educational lab submission for DPO alignment experiments on Colab T4.
Limitations
This is a small-scale lab run. The adapter should be interpreted as a demonstration of the DPO pipeline rather than a production model.
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