| | --- |
| | base_model: QCRI/Fanar-1-9B-Instruct |
| | library_name: transformers |
| | model_name: Fanar-0.5B-GRPO-test |
| | tags: |
| | - generated_from_trainer |
| | - trl |
| | - grpo |
| | licence: license |
| | --- |
| | |
| | # Model Card for Fanar-0.5B-GRPO-test |
| |
|
| | This model is a fine-tuned version of [QCRI/Fanar-1-9B-Instruct](https://huggingface.co/QCRI/Fanar-1-9B-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="Omartificial-Intelligence-Space/Fanar-0.5B-GRPO-test", 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: 0.14.0 |
| | - Transformers: 4.47.1 |
| | - Pytorch: 2.4.1 |
| | - Datasets: 2.21.0 |
| | - Tokenizers: 0.21.0 |
| |
|
| | ## Citations |
| |
|
| | Cite GRPO as: |
| |
|
| | ```bibtex |
| | @article{zhihong2024deepseekmath, |
| | 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 |
| | @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 Gallouédec}, |
| | year = 2020, |
| | journal = {GitHub repository}, |
| | publisher = {GitHub}, |
| | howpublished = {\url{https://github.com/huggingface/trl}} |
| | } |
| | ``` |
