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RWKV-7 Goose

RWKV Foundation · 2025 · LLM · International

RWKV-7 Goose floppy-disk dossier card

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A to Z

A · App
No
B · Built By
RWKV Foundation
C · CEO & Politics
Bo Peng (Lead Maintainer) — N/A / open-source community
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
Ruichong Zhang (Co-first author), Daniel Goldstein (Co-first 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, Apache 2.0)
Q · AIDb Rating
5/10 · AIDb v2.0 (rule-based): Capability 4/10 · Currency 4/10 · Access 8/10 · Significance 4/10 → 4.60
R · What Makes It Special
RNN-style sequence architecture with constant memory use and constant per-token inference time; its 2.9B model set a new 3B-class state of the art on multilingual tasks despite far fewer training tokens.
S · Stock / Status
Open-source project
T · Training Cutoff
[UNKNOWN]
U · Users
[UNKNOWN]
V · Voice Chat
No
W · Weights
Downloadable
X · X Handle
@RWKV_AI
Y · Year Founded
[UNKNOWN]
Z · Bottom Line
Open-weights LLM from RWKV Foundation, released 2025.

Data completeness 88% · Last verified 2026-06-11 · Primary source ↗

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“RWKV-7 Goose.” AIDb — The AI Database. Verified 2026-06-11. https://theaidatabase.com/m/rwkv-7-goose.html

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