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Model: longvideoagent/longvideoagent-qwen2.5-7b
Source: Original Platform

README.md

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+---
+license: apache-2.0
+language:
+  - en
+tags:
+  - long-video
+  - video-understanding
+  - video-qa
+  - agent
+  - qwen2.5
+  - transformers
+  - longtvqa
+pipeline_tag: text-generation
+base_model: Qwen/Qwen2.5-7B-Instruct
+library_name: transformers
+---
+
+# LongVideoAgent Qwen2.5-7B
+
+This repository hosts the released LLM checkpoint for **LongVideoAgent**, a multi-agent framework for long-video question answering. This model is a **Qwen2.5-7B-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:
+
+- `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.
+
+## LongTVQA+ Performance
+
+Compared with the Qwen2.5-7B-Instruct baseline, this checkpoint improves LongTVQA+ accuracy by 6.66 percentage points.
+
+| Model | LongTVQA+ Acc | Delta |
+| --- | ---: | ---: |
+| Qwen2.5-7B-Instruct | 57.33% | - |
+| LongVideoAgent Qwen2.5-7B | 64.00% | +6.66% |
+
+## 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
+
+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},
+}
+```
+
+## Acknowledgement
+
+This checkpoint is built for the LongVideoAgent project and is based on **Qwen2.5-7B-Instruct**.