TIGER-AI-Lab / Vamba
Code for the paper "Vamba: Understanding Hour-Long Videos with Hybrid Mamba-Transformers" [ICCV 2025]
Why this job: matched by what the repo talks about: video, long, understand, transformer
What it does
This repo contains code for our ICCV 2025 paper Vamba, a hybrid Mamba-Transformer model that leverages cross-attention layers and Mamba-2 blocks for efficient hour-long video understanding.
Get started
conda env create -f environment.yaml
conda activate vamba
pip install flash-attn --no-build-isolation- Maintenance
- Active
- Last commit 23 days ago
- Stars
- 110
- On GitHub
- Licence
- MIT
- 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
- 78% closed
- 2 still open
- Pull requests
- 0 merged
- 0 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 98%
- Shell 2%
Topics
- llm
- video
- vlm
Project record
- JobVideo
- StatusListed
- Commits16
- Forks11
- Watching1
- Stars in 28 days0
- CreatedMar 9, 2025
- First seen by usNov 7, 2026
- CheckedNov 8, 2026