
LLaVA-Mini
by ictnlp (organization)
LLaVA-Mini is a unified large multimodal model (LMM) that can support the understanding of images, high-resolution images, and videos in an efficient manner. (description from the project’s GitHub page)
Repository facts
- Stars
- 573
- Forks
- 34
- Open issues and pull requests
- 30
- Primary language
- Python
- License
- Apache License 2.0 (Apache-2.0)
- Owner
- ictnlp · Organization
- Created
- Jan 7, 2025
- Last push
- Jun 29, 2025
Topics
Add this badge to your README
Shows this repository’s rank in AI on GitHub and links back to this page. Ranks are by stars and change when the list is refreshed. The badge is not an endorsement or a rating. About the badges
Markdown (for a README)
[](https://unitedstatesofamericasuperintelligence.com/github/ictnlp--llava-mini/)
HTML
<a href="https://unitedstatesofamericasuperintelligence.com/github/ictnlp--llava-mini/"><img src="https://unitedstatesofamericasuperintelligence.com/badges/github/ictnlp--llava-mini.svg" alt="Ranked #8,800 in AI on GitHub" height="20"></a>
Related projects
Projects that share this one’s GitHub topics.
Rank 330: haotian-liu/LLaVA
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
25,072 starsPythonApache-2.0Last push Aug 12, 2024
Rank 2,905: om-ai-lab/OmAgent
[EMNLP-2024] Build multimodal language agents for fast prototype and production
2,669 starsPythonApache-2.0Last push Oct 16, 2026
Rank 8,651: FoundationVision/Groma
[ECCV2024] Grounded Multimodal Large Language Model with Localized Visual Tokenization
587 starsPythonApache-2.0Last push Jun 7, 2024
Rank 3,021: X-PLUG/mPLUG-Owl
mPLUG-Owl: The Powerful Multi-modal Large Language Model Family
2,539 starsPythonMITLast push Apr 2, 2025
Rank 6,083: TinyLLaVA/TinyLLaVA_Factory
A Framework of Small-scale Large Multimodal Models
1,010 starsPythonApache-2.0Last push Oct 18, 2026
Rank 7,262: LLaVA-VL/LLaVA-Plus-Codebase
LLaVA-Plus: Large Language and Vision Assistants that Plug and Learn to Use Skills
770 starsPythonApache-2.0Last push Feb 1, 2024