Improve model card: add pipeline tag, library name, language, license, paper, and code links
#1
by
nielsr
HF Staff
- opened
README.md
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---
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base_model: ytu-ce-cosmos/Turkish-Llama-8b-DPO-v0.1
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tags:
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- text-generation-inference
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- transformers
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- trl
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- grpo
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- test-time-reinforcement-learning
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license: llama3
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language:
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- en
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---
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<img src="https://huggingface.co/Metin/LLaMA-3-8B-Math-Majority-Vote-GRPO/resolve/main/llama_clones.png"
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Metin/LLaMA-3-8B-Math-Majority-Vote-GRPO is a [Test Time Reinforcement Learning (TTRL)](https://arxiv.org/abs/2504.16084) trained version of ytu-ce-cosmos/Turkish-Llama-8b-DPO-v0.1. It is trained on Turkish math word problems using GRPO method and a majority vote reward function.
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## Training Info
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- **Base Model**: [Turkish-Llama-8b-DPO-v0.1](https://huggingface.co/ytu-ce-cosmos/Turkish-Llama-8b-DPO-v0.1)
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```
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# Citation
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```
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@article{
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title={
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author={
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}
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```
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---
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base_model: ytu-ce-cosmos/Turkish-Llama-8b-DPO-v0.1
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language:
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- en
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- tr
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license: apache-2.0
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pipeline_tag: text-generation
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library_name: transformers
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tags:
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- text-generation-inference
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- transformers
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- trl
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- grpo
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- test-time-reinforcement-learning
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---
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<img src="https://huggingface.co/Metin/LLaMA-3-8B-Math-Majority-Vote-GRPO/resolve/main/llama_clones.png"
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Metin/LLaMA-3-8B-Math-Majority-Vote-GRPO is a [Test Time Reinforcement Learning (TTRL)](https://arxiv.org/abs/2504.16084) trained version of ytu-ce-cosmos/Turkish-Llama-8b-DPO-v0.1. It is trained on Turkish math word problems using GRPO method and a majority vote reward function.
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**Paper:** [TTRL: Test-Time Reinforcement Learning](https://huggingface.co/papers/2504.16084)
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**Code:** [https://github.com/PRIME-RL/TTRL](https://github.com/PRIME-RL/TTRL)
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## Training Info
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- **Base Model**: [Turkish-Llama-8b-DPO-v0.1](https://huggingface.co/ytu-ce-cosmos/Turkish-Llama-8b-DPO-v0.1)
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```
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# Citation
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```bibtex
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@article{zuo2025ttrl,
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title={Ttrl: Test-time reinforcement learning},
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author={Zuo, Yuxin and Zhang, Kaiyan and Qu, Shang and Sheng, Li and Zhu, Xuekai and Qi, Biqing and Sun, Youbang and Cui, Ganqu and Ding, Ning and Zhou, Bowen},
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journal={arXiv preprint arXiv:2504.16084},
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year={2025}
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}
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```
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