THE RESEARCH ATLAS

gpt-oss-120b 与 gpt-oss-20b 模型卡

从架构、训练、能力与安全评估等方面介绍开放权重推理模型。

gpt-oss-120b & gpt-oss-20b Model Card

OpenAI
2025-08 · OpenAI · 模型卡
来源核查: 2026-10-24机构所在地 · OpenAI 🇺🇸 美国
机构与地域来源

地域依据是署名机构或发布机构所在地,不代表作者国籍或完整合作名单。

arxiv.org ↗

openai.com ↗

为什么值得读

模型卡是技术披露文件,不等同于同行评审论文。

阅读原始来源 ↗原始 PDF ↗代码 / GitHub ↗

引用

@misc{openai2025gpt,
  title = {gpt-oss-120b & gpt-oss-20b Model Card},
  author = {OpenAI and : and Sandhini Agarwal and Lama Ahmad and Jason Ai and Sam Altman and Andy Applebaum and Edwin Arbus and Rahul K. Arora and Yu Bai and Bowen Baker and Haiming Bao and Boaz Barak and Ally Bennett and Tyler Bertao and Nivedita Brett and Eugene Brevdo and Greg Brockman and Sebastien Bubeck and Che Chang and Kai Chen and Mark Chen and Enoch Cheung and Aidan Clark and Dan Cook and Marat Dukhan and Casey Dvorak and Kevin Fives and Vlad Fomenko and Timur Garipov and Kristian Georgiev and Mia Glaese and Tarun Gogineni and Adam Goucher and Lukas Gross and Katia Gil Guzman and John Hallman and Jackie Hehir and Johannes Heidecke and Alec Helyar and Haitang Hu and Romain Huet and Jacob Huh and Saachi Jain and Zach Johnson and Chris Koch and Irina Kofman and Dominik Kundel and Jason Kwon and Volodymyr Kyrylov and Elaine Ya Le and Guillaume Leclerc and James Park Lennon and Scott Lessans and Mario Lezcano-Casado and Yuanzhi Li and Zhuohan Li and Ji Lin and Jordan Liss and Lily and Liu and Jiancheng Liu and Kevin Lu and Chris Lu and Zoran Martinovic and Lindsay McCallum and Josh McGrath and Scott McKinney and Aidan McLaughlin and Song Mei and Steve Mostovoy and Tong Mu and Gideon Myles and Alexander Neitz and Alex Nichol and Jakub Pachocki and Alex Paino and Dana Palmie and Ashley Pantuliano and Giambattista Parascandolo and Jongsoo Park and Leher Pathak and Carolina Paz and Ludovic Peran and Dmitry Pimenov and Michelle Pokrass and Elizabeth Proehl and Huida Qiu and Gaby Raila and Filippo Raso and Hongyu Ren and Kimmy Richardson and David Robinson and Bob Rotsted and Hadi Salman and Suvansh Sanjeev and Max Schwarzer and D. Sculley and Harshit Sikchi and Kendal Simon and Karan Singhal and Yang Song and Dane Stuckey and Zhiqing Sun and Philippe Tillet and Sam Toizer and Foivos Tsimpourlas and Nikhil Vyas and Eric Wallace and Xin Wang and Miles Wang and Olivia Watkins and Kevin Weil and Amy Wendling and Kevin Whinnery and Cedric Whitney and Hannah Wong and Lin Yang and Yu Yang and Michihiro Yasunaga and Kristen Ying and Wojciech Zaremba and Wenting Zhan and Cyril Zhang and Brian Zhang and Eddie Zhang and Shengjia Zhao},
  year = {2025},
  eprint = {2508.10925},
  archivePrefix = {arXiv},
  primaryClass = {cs.CL},
  url = {https://arxiv.org/abs/2508.10925}
}

论文与代码版权归原作者;引用及许可请以原始来源为准。

相关研究

2012 · Academic · 研究论文署名机构 · University of Toronto 🇨🇦 加拿大

基于深度卷积神经网络的 ImageNet 分类

ImageNet Classification with Deep Convolutional Neural Networks

深度卷积网络将数据、GPU 计算与表示学习结合,为现代视觉研究提供了重要起点。

2017-06 · Google · 研究论文署名机构 · Google / University of Toronto 🇺🇸 美国 · 🇨🇦 加拿大

注意力即全部

Attention Is All You Need

Transformer 用注意力机制构建序列模型,成为后续语言与多模态模型的重要基础。

2018-10 · Google · 研究论文署名机构 · Google AI Language 🇺🇸 美国

BERT:面向语言理解的深度双向 Transformer 预训练

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

通过掩码语言预训练学习双向表示,再迁移到语言理解任务。