Video-LLaMA
Instruction-tuned Audio-Visual Language Model for Video Understanding
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
Video-LLaMA is an audio-visual language model that enhances video and audio understanding capabilities for language models.
Good fit when
- When you need to process video content with instruction-tuned multimodal capabilities, especially when working with videos that require both visual and auditory analysis.
- For applications requiring a deep understanding of video content in Chinese, as Video-LLaMA includes support for video-grounded chat in this language.
Avoid when
- Do not use when the primary focus is on languages other than English and Chinese, as the model's representation capabilities outside these languages might be limited.
- Avoid using Video-LLaMA if you require real-time audio processing in a deployment environment that does not support Vicuna-7B audio branch currently running on A10-24G GPUs.
- Requirements:
- Ensure access to compatible hardware for video and audio processing tasks.; Consider the availability of Chinese text representation as a potential advantage or limitation based on your project needs.
Observed Jul 14, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Dormant (804d since push)
- As of Aug 18, 2026
- Provenance
- Not a fork · Organization account
- As of Aug 18, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
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Install
pip install Video-LLaMAHow it fits your stack(8)
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Overview
This repository focuses on enhancing large language models with capabilities to understand video and audio content.
Capability facts
- Languages
- python
Source: github.language · Aug 18, 2026
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README
<p align="center" width="100%" <a target=" blank" <img src="figs/video llama logo.jpg" alt="Video LLaMA" style="width: 50%; min width: 200px; display: block; margin: auto;" </a </p Video LLaMA: An Instruction tuned Audio Visual Language Model for Video Understanding This is the r...
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