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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
EVE Series: Encoder-Free Vision-Language Models from BAAI
| Date | Stars |
|---|---|
| 2026-07-24 | 374 |
| 2026-07-25 | 376 |
| 2026-07-28 | 376 |
| 2026-07-30 | 376 |
| 2026-08-06 | 376 |
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# <img src="EVEv1/images/eve_logo.png" style="vertical-align: -10px;" :height="30px" width="30px"> EVE Series: Encoder-Free VLMs from BAAI
<p align="center">
<img src="EVEv1/images/eve_motivation1.png">
</p>
- **2024/05**: [Unveiling Encoder-Free Vision-Language Models](https://github.com/baaivision/EVE/blob/main/EVEv1/README.md) (NeurIPS 2024, spotlight)
- **2024/11**: [EVEv2: Improved Baselines for Encoder-Free Vision-Language Models](https://github.com/baaivision/EVE/blob/main/EVEv2/README.md) (ICCV 2025, highlight)
## 💡 Motivation
- **Can we remove vision encoder from VLMs?**
- **How to transfer an LLM to an encoder-free VLM efficiently and stably?**
- **How to bridge the performance gap between encoder-free and encoder-based VLMs?**
## 📜 News
[2025/06] 🔥🔥🔥 **EVEv2** has been accepted by **ICCV 2025** (**highlight**) !
[2025/02] The [paper](https://arxiv.org/abs/2502.06788), [weights](https://huggingface.co/BAAI/EVE-7B-HD-v2.0), and [code](https://github.com/baaivision/EVE/blob/main/EVEv2/README.md) of **EVEv2** are released !
[2024/11] 💥💥💥 **EVEv2** has been completed !
[2024/09] 🔥🔥🔥 **EVE** has been accepted by **NeurIPS 2024** (**spotlight**) !
[2024/06] The [paper](https://arxiv.org/abs/2406.11832), [weights](https://huggingface.co/BAAI/EVE-7B-HD-v1.0), and [code](https://github.com/baaivision/EVE/blob/main/EVEv1/README.md) of **EVE** are released !
[2024/05] 💥💥💥 **EVE** has been completed !
## 💡 Highlights
- 🔥 **Superior Capability:** *An originated encoder-free* LVLM with *arbitrary* image aspect ratio, outperforming the counterparts and approaching existing *modular encoder-based* LVLMs.
- 🔥 **Data Efficiency:** Filter and recaption solely *<100M* publicly avaliable data from OpenImages, SAM, LAION, Datacomp for pre-training.
- 🔥 **Pioneering Route:** We attempt to provide an *efficient*, *transparent*, and *practical* training strategy and procedure for developing a pure decoder-only architecture across modalities.
## ✒️ Citation
If **EVE series** is helpful for your research, please consider **star** ⭐ and **citation** 📝 :
```bibtex
@article{diao2024EVE,
title={Unveiling Encoder-Free Vision-Language Models},
author={Diao, Haiwen and Cui, Yufeng and Li, Xiaotong and Wang, Yueze and Lu, Huchuan and Wang, Xinlong},
journal={arXiv preprint arXiv:2406.11832},
year={2024}
}
```
```bibtex
@article{diao2025EVEv2,
title={EVEv2: Improved Baselines for Encoder-Free Vision-Language Models},
author={Diao, Haiwen and Li, Xiaotong and Cui, Yufeng and Wang, Yueze and Deng, Haoge and Pan, Ting and Wang, Wenxuan and Lu, Huchuan and Wang, Xinlong},
journal={arXiv preprint arXiv:2502.06788},
year={2025}
}
```
## 📄 License
The content of this project itself is licensed under [LICENSE](https://github.com/baaivision/EVE/blob/main/LICENSE).
Excerpt of 2,877 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:b2639805989bb50e, topic:vlm, topic:clip, desc:vision-language
matched fp:b2639805989bb50e, topic:large-language-models, topic:llm