architectures · google-research

BERT

Bidirectional encoder with masked-language-model pretraining (Devlin et al., 2018). Backbone of modern encoder/embedding models.

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-25632f3c7d144f036a02e6a2380c738376f9566401e9539cd2971c91562719c9fce

What is recorded

Publishergoogle-research
OriginUnited States
LicenceApache-2.0
Pulls recorded here180,001

Elsewhere in the registry

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.