Model Card for R1-Distill-0.6B-Qwen-GRPO

This model is a fine-tuned version of alphadl/R1-Distill-0.6B-Qwen on the open-r1/OpenR1-Math-220k dataset. It has been trained using TRL.

Quick start

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="alphadl/R1-Distill-0.6B-Qwen-GRPO", 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 GRPO, a method introduced in DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Framework versions

• TRL: 0.18.0
• Transformers: 4.52.3
• Pytorch: 2.6.0
• Datasets: 3.6.0
• Tokenizers: 0.21.1