Alphatao / eca5957b-eccb-49f7-ba85-b0b7668ecd84

huggingface.co
Total runs: 18
24-hour runs: -1
7-day runs: 4
30-day runs: 5
Model's Last Updated: May 19 2025
text-generation

Introduction of eca5957b-eccb-49f7-ba85-b0b7668ecd84

Model Details of eca5957b-eccb-49f7-ba85-b0b7668ecd84

Model Card for eca5957b-eccb-49f7-ba85-b0b7668ecd84

This model is a fine-tuned version of EleutherAI/pythia-160m . 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="Alphatao/eca5957b-eccb-49f7-ba85-b0b7668ecd84", device="cuda")
output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
print(output["generated_text"])
Training procedure

Visualize in Weights & Biases

This model was trained with GRPO, a method introduced in DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models .

Framework versions
  • TRL: 0.17.0
  • Transformers: 4.51.3
  • Pytorch: 2.5.1+cu124
  • Datasets: 3.5.1
  • Tokenizers: 0.21.1
Citations

Cite GRPO as:

@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:

@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 Gallou{\'e}dec},
    year         = 2020,
    journal      = {GitHub repository},
    publisher    = {GitHub},
    howpublished = {\url{https://github.com/huggingface/trl}}
}

Runs of Alphatao eca5957b-eccb-49f7-ba85-b0b7668ecd84 on huggingface.co

18
Total runs
-1
24-hour runs
4
3-day runs
4
7-day runs
5
30-day runs

More Information About eca5957b-eccb-49f7-ba85-b0b7668ecd84 huggingface.co Model

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eca5957b-eccb-49f7-ba85-b0b7668ecd84 install

eca5957b-eccb-49f7-ba85-b0b7668ecd84 is an open source model from GitHub that offers a free installation service, and any user can find eca5957b-eccb-49f7-ba85-b0b7668ecd84 on GitHub to install. At the same time, huggingface.co provides the effect of eca5957b-eccb-49f7-ba85-b0b7668ecd84 install, users can directly use eca5957b-eccb-49f7-ba85-b0b7668ecd84 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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