---
license: apache-2.0
language:
- en
tags:
- long-video
- video-understanding
- video-qa
- agent
- qwen3
- transformers
- longtvqa
base_model: Qwen/Qwen3-4B-Thinking-2507
library_name: transformers
---

# LongVideoAgent Qwen3-4B

This repository hosts the released LLM checkpoint for **LongVideoAgent**, a multi-agent framework for long-video question answering. This model is a **Qwen3-4B-based checkpoint** used in the LongVideoAgent project.


## Overview

This model is trained based on the official repository: [longvideoagent/LongVideoAgent](https://github.com/longvideoagent/LongVideoAgent).

LongVideoAgent utilizes a multi-agent collaboration framework to decompose complex long-video reasoning into specialized roles. For detailed methodology and agent architecture, please refer to our paper on arXiv: [https://arxiv.org/abs/2512.20618](https://arxiv.org/abs/2512.20618).

This checkpoint is intended for use with the official LongVideoAgent codebase and evaluation pipeline.

## Performance

On the **LongTVQA+** test set, this model achieves an accuracy of **72%**, while `gpt-4o-mini` achieves 74% on the same benchmark. 

This demonstrates that our model delivers strong performance, achieving reasoning capabilities comparable to advanced closed-source models while utilizing a significantly smaller parameter size.

## 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:

- https://github.com/longvideoagent/LongVideoAgent

## Usage
**Note on Context Length:** This model natively supports a context length of **262,144**. If you experience Out-Of-Memory (OOM) errors or have limited VRAM during inference, you can reduce the maximum context length in your vLLM parameters. For example: `max_model_len=120000`.

Please follow the setup and inference instructions in the official repository and project documentation:

- https://github.com/longvideoagent/LongVideoAgent
- https://longvideoagent.github.io/

If you use this checkpoint in your work, please also cite the LongVideoAgent paper below.

## Citation

```bibtex
@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](https://arxiv.org/abs/2512.20618)},
}