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Qwen 2.5 3b R1 Countdown

This model is a fine-tuned version of Qwen/Qwen2.5-3B-Instruct. It has been trained using TRL.

ArtText modelBasismodellQwen/Qwen2.5-3B-InstructVersionRevision 61778b8Verleger@gregdlgCBewertung

Modellquelle

Art
Text model
Dateigröße
Noch nicht aufgezeichnet
Basismodell
Qwen/Qwen2.5-3B-Instruct
Version
vRevision 61778b8
Aktualisiert
22. Okt. 2026
Verleger
@gregdlg
Downloads
17
Quelle
Hugging Face

Quellenbeschreibung

Model Card for qwen-2.5-3b-r1-countdown

This model is a fine-tuned version of Qwen/Qwen2.5-3B-Instruct. 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="gregdlg/qwen-2.5-3b-r1-countdown", 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: 1.2.0
  • Transformers: 4.57.6
  • Pytorch: 2.10.0
  • Datasets: 4.8.4
  • Tokenizers: 0.22.2

Citations

Cite GRPO as:

@article{shao2024deepseekmath,
    title        = {{DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models}},
    author       = {Zhihong Shao and Peiyi Wang and Qihao Zhu and Runxin Xu and Junxiao Song and Mingchuan Zhang and Y. K. Li and Y. Wu and Daya Guo},
    year         = 2024,
    eprint       = {arXiv:2402.03300},
}

Cite TRL as:

@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}
}

Quellen

1 Quelle
Hugging FacePrimärVersion 61778b88d35b1577f285a270b5a7ea6b857681f9
huggingface.co/gregdlg/qwen-2.5-3b-r1-countdown/tree/61778b88d35b1577f285a270b5a7ea6b857681f9

Verifiziert 22. Okt.

Quellenauszüge

3 Auszüge

--- base_model: Qwen/Qwen2.5-3B-Instruct library_name: transformers model_name: qwen-2.5-3b-r1-countdown tags: - generated_from_trainer - trl - grpo licence: license --- # Model Card for qwen-2.5-3b-r1-countdown This model is a fine-tuned version of [Qwen/Qwen2.5-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-3B-Instruct). 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="gregdlg/qwen-2.5-3b-r1-countdown", 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](https://huggingface.co/papers/2402.03300). ### Framework versions - TRL: 1.2.0 - Transformers: 4.57.6 - Pytorch: 2.10.0 - Datasets: 4.8.4 - Tokenizers: 0.22.2 ## Citations Cite GRPO as: ```bibtex @article{shao2024deepseekmath, title = {{DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models}}, author = {Zhihong Shao and Peiyi Wang and Qihao Zhu and Runxin Xu and Junxiao Song and Mingchuan Zhang and Y. K. Li and Y. Wu and Daya Guo}, year = 2024, eprint = {arXiv:2402.03300}, } ``` 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} } ```

Source context: 17 downloads · 0 likes · Pipeline text-generation · Library transformers · Repo gregdlg/qwen-2.5-3b-r1-countdown

Source context: 11 downloads · 0 likes · Pipeline text-generation · Library transformers · Repo gregdlg/qwen-2.5-3b-r1-countdown