---
title: LongVU_Llama3_2_3B
canonical_url: "https://www.modelscope.cn/models/AI-ModelScope/LongVU_Llama3_2_3B"
md_url: "https://www.modelscope.cn/models/AI-ModelScope/LongVU_Llama3_2_3B.md"
repository: AI-ModelScope/LongVU_Llama3_2_3B
last_updated: 2025-04-24
license: apache-2.0
model_type:
  - cambrian_llama
architectures:
  - CambrianLlamaForCausalLM
library_name:
  - pytorch
frameworks:
  - pytorch
downloads: 1192
stars: 0
tags:
  - video-text-to-text
---

# LongVU_Llama3_2_3B

> LongVU_Llama3_2_3B - AI-ModelScope 在 ModelScope 开源的模型。

AI-ModelScope/LongVU_Llama3_2_3B 是 ModelScope 魔搭社区上的机器学习模型，采用 apache-2.0 许可。

- **Repository**: AI-ModelScope/LongVU_Llama3_2_3B
- **License**: apache-2.0
- **Tags**: video-text-to-text
- **Downloads**: 1192
- **Stars**: 0
- **Last updated**: 2025-04-24

Source: https://www.modelscope.cn/models/AI-ModelScope/LongVU_Llama3_2_3B

---

# Citation

```
@article{shen2024longvu,
    title={LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding},
    author={Shen, Xiaoqian and Xiong, Yunyang and Zhao, Changsheng and Wu, Lemeng and Chen, Jun and Zhu, Chenchen and Liu, Zechun and Xiao, Fanyi and Varadarajan, Balakrishnan and Bordes, Florian and Liu, Zhuang and Xu, Hu and J. Kim, Hyunwoo and Soran, Bilge and Krishnamoorthi, Raghuraman and Elhoseiny, Mohamed and Chandra, Vikas},
    journal={arXiv:2410.17434},
    year={2024}
  }
```