bytedance / video-SALMONN-2
video-SALMONN 2 is a powerful audio-visual large language model (LLM) that generates high-quality audio-visual video captions, which is developed by the Department of Electronic Engineering at Tsinghua University and ByteDance.
Why this job: matched by what the repo talks about: video, audio, visual, caption
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 2 months ago
- Stars
- 224
- +2 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 98% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 0 merged
- 1 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
More: languages, topics and project record
Languages
- Python 98%
- Shell 2%
Topics
- research
- audio-processing
- audio-visual-understanding
- bytedance
- large-language-models
- llm
- multi-modal
- speech
- tsinghua-university
- video
- video-understanding
Project record
- JobVideo
- StatusListed
- Commits57
- Forks27
- Watching3
- Stars in 28 days+6
- CreatedJun 18, 2025
- First seen by usNov 7, 2026
- CheckedNov 8, 2026