647c931f8d
Model: sleeepeer/meta-llama-Llama-3.1-8B-Instruct-dolly_new_1200_0113-42-202602031350 Source: Original Platform
68 lines
2.3 KiB
Markdown
68 lines
2.3 KiB
Markdown
---
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base_model: meta-llama/Llama-3.1-8B-Instruct
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library_name: transformers
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model_name: meta-llama-Llama-3.1-8B-Instruct-dolly_new_1200_0113-42-202602031350
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tags:
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- generated_from_trainer
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- trl
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- grpo
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licence: license
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---
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# Model Card for meta-llama-Llama-3.1-8B-Instruct-dolly_new_1200_0113-42-202602031350
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This model is a fine-tuned version of [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct).
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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```python
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from transformers import pipeline
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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?"
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generator = pipeline("text-generation", model="sleeepeer/meta-llama-Llama-3.1-8B-Instruct-dolly_new_1200_0113-42-202602031350", device="cuda")
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output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
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print(output["generated_text"])
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```
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## Training procedure
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/sleeepeer-penn-state/huggingface/runs/bigglaix)
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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).
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### Framework versions
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- TRL: 0.26.2
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- Transformers: 4.56.2
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- Pytorch: 2.9.0
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- Datasets: 4.4.2
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- Tokenizers: 0.22.1
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## Citations
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Cite GRPO as:
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```bibtex
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@article{shao2024deepseekmath,
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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 Gallou{\'e}dec},
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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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``` |