ViT-Huge/14
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A to Z
- A · App
- No
- B · Built By
- Google Brain
- C · CEO & Politics
- Sundar Pichai — Centrist / historically bipartisan
- D · Date
- 2020
- E · Expertise
- Intermediate+
- F · Free Tier
- Yes
- G · Generates
- Text only
- H · Deployment
- Cloud + Local (open weights)
- I · Inputs
- Text
- J · Jurisdiction
- USA
- K · Key Staffers
- Jeff Dean (founder of Google Brain, now Chief Scientist)
- L · Languages
- English-primary
- M · Model Type
- Vision/CV
- N · Safety Issues
- Computer-vision risks: dataset bias, domain shift, privacy concerns in images, and unreliable performance outside benchmark-like settings.
- O · Open Source
- Yes — open weights
- P · Pricing
- Free (open weights, Apache 2.0)
- Q · AIDb Rating
- 4/10 · AIDb v2.0 (rule-based): Capability 4/10 · Currency 4/10 · Access 5/10 · Significance 4/10 → 4.15
- R · What Makes It Special
- ViT-Huge/14, a model from Google Brain's original Vision Transformer paper ('An Image is Worth 16x16 Words'), which showed that a pure transformer applied to sequences of image patches, pretrained on large datasets, matches or beats state-of-the-art convolutional networks on ImageNet, CIFAR-100 and VTAB while needing substantially less compute to train.
- S · Stock / Status
- $344 (GOOGL, Sep 25, 2026)
- T · Training Cutoff
- [UNKNOWN]
- U · Users
- [UNKNOWN]
- V · Voice Chat
- No
- W · Weights
- Downloadable
- X · X Handle
- @GoogleDeepMind
- Y · Year Founded
- [UNKNOWN]
- Z · Bottom Line
- Open-weights Vision/CV from Google Brain, released 2020.
Data completeness 88% · Last verified 2026-06-11 · Primary source ↗
Cite this
“ViT-Huge/14.” AIDb — The AI Database. Verified 2026-06-11. https://theaidatabase.com/m/vit-huge-14-google-brain.html