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baaivision

Emu

Emu Series: Generative Multimodal Models from BAAI.

ModelsVision modelsPython
Open on GitHub
Momentum
+0stars in 24 hours0.0%
1.78k
Stars
82
Forks
+0
This week
7
Contributors
Created 2023-07-11 · Updated 2026-10-05 · #9510 today
Top developers
yqy2001Quan-Sunryanzhangfan

baaivision/Emu is ranked 9,510 with 1,777 stars.

Same-category comparison

baaivision/Emu is ranked 9,510 among these 8 peers; OpenCodeInterpreter/OpenCodeInterpreter is ranked 9,521.

Same-category comparison
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Key parameters and specifications
Key parameters and specifications
ParameterValue
LanguagePython
CategoryModels
SubcategoryVision models
Stars1,777
Forks82
Contributors7
Created date2023-07-11
Updated date2026-10-05
Stars in 1 day0
Stars in 7 days0
Rank9,510
Previous rank9,550
Rank change40
7-day stars rank12,322
Previous 7-day stars rank12,372
7-day stars rank change50
Total stars rank7,020
Previous total stars rank7,014
Total stars rank change-6
CountryChina
README summary

9 We introduce **Emu3**, a new suite of state-of-the-art multimodal models trained solely with next-token prediction. 2 **Emu1 and Emu2 are accepted by ICLR 2024 and CVPR 2024 respectively! 12 Inference code, model and demo of Emu2 are available. 12 We have released Emu2, open and largest generative multimodal models that achieve new state of the art on multimodal understanding and generation tasks. 7 Inference code and model of Emu are available. 7 We have released

Emu, a multimodal generalist that can seamlessly generate images and texts in multimodal context. Hightlights State-of-the-art performance Next-generation capabilities A base model for diverse tasks We hope to foster the growth of our community through open-sourcing and promoting collaboration👬. Let's step towards multimodal intelligence together🍻. Contact **We are hiring** at all levels at BAAI Vision Team, including full-time researchers, engineers and interns. If you are interested in working with us on **foundation model, visual

perception and multimodal learning**, please contact Xinlong Wang ( ).

Frequently asked questions

How many stars and forks are recorded?

baaivision/Emu has 1,777 stars and 82 forks.

What is the repository rank?

baaivision/Emu is ranked 9,510.

What language and category are recorded?

baaivision/Emu has 1,777 stars, uses Python and belongs to Models.

Which repository is closest in rank?

baaivision/Emu is compared with OpenCodeInterpreter/OpenCodeInterpreter, ranked 9,521 with 1,771 stars.

README

Emu: Generative Multimodal Models from BAAI

  • Emu1 (ICLR 2024, 2023/07) - Generative Pretraining in Multimodality

  • Emu2 (CVPR 2024, 2023/12) - Generative Multimodal Models are In-Context Learners

  • Emu3 (arXiv 2024, 2024/09) - Next-Token Prediction is All You Need 🔥🔥🔥

News

  • 2024.9 We introduce Emu3, a new suite of state-of-the-art multimodal models trained solely with next-token prediction. 🔥🔥🔥
  • 2024.2 Emu1 and Emu2 are accepted by ICLR 2024 and CVPR 2024 respectively! 🎉
  • 2023.12 Inference code, model and demo of Emu2 are available. Enjoy the demo.
  • 2023.12 We have released Emu2, open and largest generative multimodal models that achieve new state of the art on multimodal understanding and generation tasks.
  • 2023.7 Inference code and model of Emu are available.
  • 2023.7 We have released Emu, a multimodal generalist that can seamlessly generate images and texts in multimodal context.

Hightlights

  • State-of-the-art performance
  • Next-generation capabilities
  • A base model for diverse tasks

We hope to foster the growth of our community through open-sourcing and promoting collaboration👬. Let's step towards multimodal intelligence together🍻.

Contact

  • We are hiring at all levels at BAAI Vision Team, including full-time researchers, engineers and interns. If you are interested in working with us on foundation model, visual perception and multimodal learning, please contact Xinlong Wang (wangxinlong@baai.ac.cn).

Misc

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