---
base_model: cemig-temp/qwen3-4b-dw-lr
datasets: CEIA-RL/Nemotron-SFT-Safety-pt-BR-Cleaned
library_name: transformers
model_name: qwen3-4b-dw-lr-hf-dpo
tags:
- generated_from_trainer
- trl
- online-dpo
licence: license
---

# Model Card for qwen3-4b-dw-lr-hf-dpo

This model is a fine-tuned version of [cemig-temp/qwen3-4b-dw-lr](https://huggingface.co/cemig-temp/qwen3-4b-dw-lr) on the [CEIA-RL/Nemotron-SFT-Safety-pt-BR-Cleaned](https://huggingface.co/datasets/CEIA-RL/Nemotron-SFT-Safety-pt-BR-Cleaned) dataset.
It has been trained using [TRL](https://github.com/huggingface/trl).

## Quick start

```python
from transformers import pipeline

question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
generator = pipeline("text-generation", model="CEIA-RL/qwen3-4b-dw-lr-hf-dpo", device="cuda")
output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
print(output["generated_text"])
```

## Training procedure

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/luanamartins/rlaif-energy/runs/s7y1wu77) 



This model was trained with Online DPO, a method introduced in [Direct Language Model Alignment from Online AI Feedback](https://huggingface.co/papers/2402.04792).

### Framework versions

- TRL: 0.29.0
- Transformers: 4.57.6
- Pytorch: 2.10.0
- Datasets: 4.7.0
- Tokenizers: 0.22.2

## Citations

Cite Online DPO as:

```bibtex
@article{guo2024direct,
    title        = {{Direct Language Model Alignment from Online AI Feedback}},
    author       = {Shangmin Guo and Biao Zhang and Tianlin Liu and Tianqi Liu and Misha Khalman and Felipe Llinares and Alexandre Ram{'{e}} and Thomas Mesnard and Yao Zhao and Bilal Piot and Johan Ferret and Mathieu Blondel},
    year         = 2024,
    eprint       = {arXiv:2402.04792}
}
```

Cite TRL as:
    
```bibtex
@software{vonwerra2020trl,
  title   = {{TRL: Transformers Reinforcement Learning}},
  author  = {von Werra, Leandro and Belkada, Younes and Tunstall, Lewis and Beeching, Edward and Thrush, Tristan and Lambert, Nathan and Huang, Shengyi and Rasul, Kashif and Gallouédec, Quentin},
  license = {Apache-2.0},
  url     = {https://github.com/huggingface/trl},
  year    = {2020}
}
```