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:

Overview

LongVideoAgent decomposes long-video reasoning into multiple roles:

  • MasterAgent for planning and answer generation
  • GroundingAgent for subtitle-based temporal grounding
  • VisionAgent for 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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