Text Generation
PEFT
TensorBoard
Safetensors
Arabic
English
Generated from Trainer
trl
grpo
math
reasoning
R1
conversational
Instructions to use Omartificial-Intelligence-Space/Fanar-Math-R1-GRPO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Omartificial-Intelligence-Space/Fanar-Math-R1-GRPO with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("QCRI/Fanar-1-9B-Instruct") model = PeftModel.from_pretrained(base_model, "Omartificial-Intelligence-Space/Fanar-Math-R1-GRPO") - Notebooks
- Google Colab
- Kaggle
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Happy reasoning! 🔍✨
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## Citations
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Cite GRPO as:
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```bibtex
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@article{zhihong2024deepseekmath,
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title = {{DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models}},
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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},
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year = 2024,
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eprint = {arXiv:2402.03300},
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}
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```
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Cite TRL as:
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```bibtex
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@misc{vonwerra2022trl,
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title = {{TRL: Transformer Reinforcement Learning}},
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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 Gallouédec},
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year = 2020,
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journal = {GitHub repository},
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publisher = {GitHub},
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howpublished = {\url{https://github.com/huggingface/trl}}
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}
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```
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Happy reasoning! 🔍✨
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