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Consortium Spectra 1.1

Consortium · 2025 · LLM · International

Consortium Spectra 1.1 floppy-disk dossier card

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A to Z

A · App
No
B · Built By
Consortium
C · CEO & Politics
[UNKNOWN]
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
International
K · Key Staffers
Tejas Vaidhya (Co-lead author), Ayush Kaushal (Co-lead author), Irina Rish (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; hosting costs vary
Q · AIDb Rating
4/10 · AIDb v2.0 (rule-based): Capability 4/10 · Currency 4/10 · Access 2/10 · Significance 4/10 → 3.70
R · What Makes It Special
Ternary language models (TriLMs) trained with quantization-aware training, from a study of their scaling laws and efficient inference; the authors find TriLMs gain more from extra training data than from extra parameters.
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 LLM from Consortium, released 2025.

Data completeness 81% · Last verified 2026-06-11 · Primary source ↗

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“Consortium Spectra 1.1.” AIDb — The AI Database. Verified 2026-06-11. https://theaidatabase.com/m/consortium-spectra-1-1.html