---
base_model: Qwen/Qwen2-0.5B-Instruct
datasets: trl-lib/chatbot_arena_completions
library_name: transformers
model_name: qwen-distill-r1
tags:
- generated_from_trainer
- gkd
- hf_jobs
- qwen-distill
- trackio
- trackio:https://huggingface.co/spaces/cmpatino/qwen-distill-static-e75925
- trl
- trl-autoresearch
licence: license
---

# Model Card for qwen-distill-r1

This model is a fine-tuned version of [Qwen/Qwen2-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2-0.5B-Instruct) on the [trl-lib/chatbot_arena_completions](https://huggingface.co/datasets/trl-lib/chatbot_arena_completions) 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="cmpatino/qwen-distill-r1", device="cuda")
output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
print(output["generated_text"])
```

## Training procedure

 



This model was trained with GKD, a method introduced in [On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes](https://huggingface.co/papers/2306.13649).

### Framework versions

- TRL: 1.9.2
- Transformers: 5.14.1
- Pytorch: 2.13.0
- Datasets: 5.0.1
- Tokenizers: 0.22.2

## Citations

Cite GKD as:

```bibtex
@inproceedings{agarwal2024on-policy,
    title        = {{On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes}},
    author       = {Rishabh Agarwal and Nino Vieillard and Yongchao Zhou and Piotr Stanczyk and Sabela Ramos Garea and Matthieu Geist and Olivier Bachem},
    year         = 2024,
    booktitle    = {The Twelfth International Conference on Learning Representations, {ICLR} 2024, Vienna, Austria, May 7-11, 2024},
    publisher    = {OpenReview.net},
    url          = {https://openreview.net/forum?id=3zKtaqxLhW},
}
```

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}
}
```