LLaVA 1.5
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A to Z
- A · App
- No
- B · Built By
- University of Wisconsin
- C · CEO & Politics
- N/A (academic research) — No public partisan activity documented
- D · Date
- 2023
- E · Expertise
- Intermediate+
- F · Free Tier
- Yes
- G · Generates
- Text only
- H · Deployment
- Cloud + Local (open weights)
- I · Inputs
- Text+Image+Audio
- J · Jurisdiction
- USA
- K · Key Staffers
- Haotian Liu (Lead author), Chunyuan Li (Co-author), Yong Jae Lee (Senior author)
- L · Languages
- English-primary
- M · Model Type
- Multimodal LLM
- N · Safety Issues
- None reported
- O · Open Source
- Yes — open weights
- P · Pricing
- Free (open weights, Llama 2 Community License)
- Q · AIDb Rating
- [UNKNOWN]
- R · What Makes It Special
- LLaVA-1.5 from the University of Wisconsin-Madison and Microsoft Research, an improved version of the open LLaVA (Large Language and Vision Assistant) multimodal model that connects a CLIP ViT-L/336px vision encoder to the Vicuna language model through an MLP projection and adds academic VQA training data; the 13B model set state-of-the-art results on 11 benchmarks using only 1.2M public training samples and trains in about a day on one 8-A100 node, and 7B and 13B versions were released.
- S · Stock / Status
- Research / open-source project
- T · Training Cutoff
- [UNKNOWN]
- U · Users
- [UNKNOWN]
- V · Voice Chat
- No
- W · Weights
- Downloadable
- X · X Handle
- [UNKNOWN]
- Y · Year Founded
- [UNKNOWN]
- Z · Bottom Line
- Open-weights Multimodal LLM from University of Wisconsin, released 2023.
Data completeness 81% · Last verified 2026-05-12 · Primary source ↗
Cite this
“LLaVA 1.5.” AIDb — The AI Database. Verified 2026-05-12. https://theaidatabase.com/m/llava-15.html