LongVideoAgent Qwen2.5-3B
This repository hosts the released LLM checkpoint for LongVideoAgent, a multi-agent framework for long-video question answering. This model is a Qwen2.5-3B-based checkpoint used in the LongVideoAgent project.
Project links:
- Project page: https://longvideoagent.github.io/
- Code: https://github.com/longvideoagent/LongVideoAgent
- Paper: https://arxiv.org/abs/2512.20618
Overview
LongVideoAgent decomposes long-video reasoning into multiple roles:
MasterAgentfor planning and answer generationGroundingAgentfor subtitle-based temporal groundingVisionAgentfor local visual evidence extraction
This checkpoint is intended for use with the official LongVideoAgent codebase and evaluation pipeline.
Intended Use
Use this model for:
- Research on long-video question answering
- Reproducing LongVideoAgent experiments
- Studying agentic reasoning over long videos
This checkpoint is not a general-purpose video model by itself. For inference and evaluation, please use the official repository:
Usage
Please follow the setup and inference instructions in the official repository and project documentation:
If you use this checkpoint in your work, please also cite the LongVideoAgent paper below.
Limitations
- This model is designed for the LongVideoAgent framework rather than standalone chat usage.
- Performance depends on the full multi-agent pipeline, including grounding and visual evidence modules.
- The model may inherit limitations from the base model and training data.
Citation
@misc{liu2025longvideoagentmultiagentreasoninglong,
title={LongVideoAgent: Multi-Agent Reasoning with Long Videos},
author={Runtao Liu and Ziyi Liu and Jiaqi Tang and Yue Ma and Renjie Pi and Jipeng Zhang and Qifeng Chen},
year={2025},
eprint={2512.20618},
archivePrefix={arXiv},
primaryClass={cs.AI},
url={https://arxiv.org/abs/2512.20618},
}
Acknowledgement
This checkpoint is built for the LongVideoAgent project and is based on Qwen2.5-3B.
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