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Fuyu-8B

Adept · 2023 · Multimodal LLM · USA

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A to Z

A · App
No
B · Built By
Adept
C · CEO & Politics
Zach Brock — 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
Rohan Bavishi (Co-author), Erich Elsen (Co-author), Curtis Hawthorne (Co-author), Maxwell Nye (Co-author), Augustus Odena (Co-author), Arushi Somani (Co-author), Sağnak Taşırlar (Co-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, CC BY-NC 4.0 non-commercial license)
Q · AIDb Rating
[UNKNOWN]
R · What Makes It Special
Adept's Fuyu-8B, an open small version of the multimodal model behind Adept's product: a plain decoder-only transformer with no separate image encoder that feeds image patches straight into its first layer, so it takes images of any resolution; built for digital agents, it answers questions about charts, diagrams and user interfaces, locates items on screen images and responds to large images in under 100 milliseconds. A base model meant for fine-tuning; CC BY-NC 4.0.
S · Stock / Status
Private
T · Training Cutoff
[UNKNOWN]
U · Users
[UNKNOWN]
V · Voice Chat
No
W · Weights
Downloadable
X · X Handle
@AdeptAILabs
Y · Year Founded
[UNKNOWN]
Z · Bottom Line
Open-weights Multimodal LLM from Adept, released 2023.

Data completeness 85% · Last verified 2026-05-12 · Primary source ↗

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“Fuyu-8B.” AIDb — The AI Database. Verified 2026-05-12. https://theaidatabase.com/m/fuyu-8b.html