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Occ Grpo Occ

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

TipoText modelModelo baseQwen/Qwen2.5-3B-InstructVersiónPublicador@narcolepticchickenCcalidad

Fuente del modelo

Tipo
Text model
Tamaño del archivo
11,5 GB
Modelo base
Qwen/Qwen2.5-3B-Instruct
Versión
vmodel
Actualizado
4 oct 2026
Descargas
18
Parámetros
3B
Tareas
Generación de texto
Fuente
Hugging Face

Descripción de la fuente

Model Card for occ-grpo-occ

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="narcolepticchicken/occ-grpo-occ", 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: 1.7.0
  • Transformers: 5.12.1
  • Pytorch: 2.12.1
  • Datasets: 5.0.0
  • 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}
}

Fuentes

1 fuente
Hugging FacePrincipalVersión 37a9a668c6eddc263c66aaeda55092de9c192b69
huggingface.co/narcolepticchicken/occ-grpo-occ/tree/37a9a668c6eddc263c66aaeda55092de9c192b69

Verificado 4 oct

Artefactos del modelo

2 artefactos

last-checkpoint/model.safetensors

safetensors · 11,5 GB · SHA-256 dba3e65f7d59…5866 · Hugging Face

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model.safetensors

safetensors · 11,5 GB · SHA-256 dba3e65f7d59…5866 · Hugging Face

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Extractos de fuentes

3 extractos

--- base_model: Qwen/Qwen2.5-3B-Instruct library_name: transformers model_name: occ-grpo-occ tags: - generated_from_trainer - hf_jobs - grpo - trl licence: license --- # Model Card for occ-grpo-occ 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="narcolepticchicken/occ-grpo-occ", 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: 1.7.0 - Transformers: 5.12.1 - Pytorch: 2.12.1 - Datasets: 5.0.0 - 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: 18 downloads · 0 likes · Pipeline text-generation · Library transformers · Repo narcolepticchicken/occ-grpo-occ

Source context: 720 downloads · 0 likes · Pipeline text-generation · Library transformers · Repo narcolepticchicken/occ-grpo-occ