architectures · google

Transformer

The original encoder-decoder self-attention architecture (Vaswani et al., 2017). Foundation of nearly all modern sequence models.

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What this registry has checked

Quarantine. We hold the publisher’s own published hash for these weights and have recorded it against this entry. We have not downloaded and hashed the weights ourselves, so the hash is the publisher’s claim, not our measurement.

Weight file SHA-256	a7468c68516526913141989e07fcccd64bf51644bd7287e30a432b7a17265e59

Re-check this yourself → Source → Full record →

What is recorded

Publisher	google
Origin	United States
Licence	Apache-2.0
Pulls recorded here	320,002

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Registry record as of 2026-06-06. Identity, licence and parameter count are properties of a release and do not move; tier can, and the verify link above re-checks it against the live registry rather than this page.