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edbeeching / OpenR1-Distill-7B
Model's Last Updated: June 07 2025
text-generation
Introduction of OpenR1-Distill-7B
Model Details of OpenR1-Distill-7B
Model Card for OpenR1-Distill-7B
This model is a fine-tuned version of open-r1/Qwen2.5-Math-7B-RoPE-300k on the open-r1/Mixture-of-Thoughts 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="edbeeching/OpenR1-Distill-7B", 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 SFT.
Framework versions
- TRL: 0.18.0.dev0
- Transformers: 4.52.0.dev0
- Pytorch: 2.6.0
- Datasets: 3.5.0
- Tokenizers: 0.21.1
Citations
Cite TRL as:
@misc{vonwerra2022trl,
title = {{TRL: Transformer Reinforcement Learning}},
author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},
year = 2020,
journal = {GitHub repository},
publisher = {GitHub},
howpublished = {\url{https://github.com/huggingface/trl}}
}
Runs of edbeeching OpenR1-Distill-7B on huggingface.co
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More Information About OpenR1-Distill-7B huggingface.co Model
Url of OpenR1-Distill-7B
OpenR1-Distill-7B huggingface.co Url
Provider of OpenR1-Distill-7B huggingface.co
Other API from edbeeching
Updated:June 30 2022
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