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mmBERT

JHU · 2025 · LLM · USA

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A to Z

A · App
No
B · Built By
JHU
C · CEO & Politics
N/A (academic research) — No public partisan activity documented
D · Date
2025
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
Marc Marone (Co-lead author), Orion Weller (Co-lead author), Benjamin Van Durme (Senior author)
L · Languages
English-primary
M · Model Type
LLM
N · Safety Issues
None reported
O · Open Source
Yes — open weights
P · Pricing
Free (open weights, MIT)
Q · AIDb Rating
6/10 · AIDb v2.0 (curated): Capability 5/10 · Currency 7/10 · Access 5/10 · Significance 8/10 → 5.85
R · What Makes It Special
Multilingual ModernBERT-style encoder from JHU. 1,800+ languages, 3T tokens. First major multilingual encoder refresh since XLM-R.
S · Stock / Status
University
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 LLM from JHU, released 2025.

Data completeness 85% · Last verified 2026-06-11 · Primary source ↗

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“mmBERT.” AIDb — The AI Database. Verified 2026-06-11. https://theaidatabase.com/m/jhu-mmbert.html