Occ Grpo Occ
This model is a fine-tuned version of Qwen/Qwen2.5-3B-Instruct. It has been trained using TRL.
Model source
- Kind
- Text model
- File size
- 11.5 GB
- Base model
- Qwen/Qwen2.5-3B-Instruct
- Version
- vmodel
- Updated
- Oct 4, 2026
- Publisher
- @narcolepticchicken
- Downloads
- 18
- Parameters
- 3B
- Tasks
- Text generation
- Source
- Hugging Face
Source description
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}
}
Sources
1 source
Sources
1 sourceVerified Oct 4
Model artifacts
2 artifacts
Model artifacts
2 artifactsSource excerpts
3 excerpts
Source excerpts
3 excerpts--- 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
