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Video-LLaMA

DAMO-NLP-SG/Video-LLaMA

Instruction-tuned Audio-Visual Language Model for Video Understanding

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3.1k stars287 forksLast push 2y Python BSD-3-Clause

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

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Maintenance
Dormant (804d since push)
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Provenance
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Security (OSV)
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Install

pip install Video-LLaMA
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Evidence and technical details

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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

Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

This is the repo for the Video-LLaMA project, which is working on empowering large language models with video and audio understanding capabilities.

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News

  • [2024.06.03] 🚀🚀 We officially launch VideoLLaMA2 with stronger performances and easier-to-use codebase, come to try it out!

  • [11.14] ⭐️ The current README file is for Video-LLaMA-2 (LLaMA-2-Chat as language decoder) only, instructions for using the previous version of Video-LLaMA (Vicuna as language decoder) can be found at here.
  • [08.03] 🚀🚀 Release Video-LLaMA-2 with Llama-2-7B/13B-Chat as language decoder
    • NO delta weights and separate Q-former weights anymore, full weights to run Video-LLaMA are all here :point_right: [7B][13B]
    • Allow further customization starting from our pre-trained checkpoints [7B-Pretrained] [13B-Pretrained]
  • [06.14] NOTE: The current online interactive demo is primarily for English chatting and it may NOT be a good option to ask Chinese questions since Vicuna/LLaMA does not represent Chinese texts very well.
  • [06.13] NOTE: The audio support is ONLY for Vicuna-7B by now although we have several VL checkpoints available for other decoders.
  • [06.10] NOTE: We have NOT updated the HF demo yet because the whole framework (with the audio branch) cannot run normally on A10-24G. The current running demo is still the previous version of Video-LLaMA. We will fix this issue soon.
  • [06.08] 🚀🚀 Release the checkpoints of the audio-supported Video-LLaMA. Documentation and example outputs are also updated.
  • [05.22] 🚀🚀 Interactive demo online, try our Video-LLaMA (with Vicuna-7B as language decoder) at Hugging Face and ModelScope!!
  • [05.22] ⭐️ Release Video-LLaMA v2 built with Vicuna-7B
  • [05.18] 🚀🚀 Support video-grounded chat in Chinese

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