language encoderfamily
BERT
Bidirectional transformer encoder pre-trained on unlabelled text with masked language modelling, then fine-tuned for classification, question answering and tagging.
Levelfamily
Classlanguage encoder
Parametersnot in the notes
Contextnot in the notes
Released11 Oct 2018
Opennessopen weights permissive
Runs onnot in the notes
Statusactive
Lineage
BERT base multilingual cased belongs to this familylanguage encoder178.57MBERT base uncased belongs to this familylanguage encoder110.11MBERT large uncased belongs to this familylanguage encoder336.23MWhere this comes from
Parent and child relations from model cards, Hugging Face base_model fields and the genealogy tables of the research notes. Confidence and evidence are the notes' own.
Identity
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.
Architecture and Size
- Architecture
- dense transformer
- Total parameters
- – sources
- Active parameters
- –
- Checkpoint parameters
- –
- Note
- Base (110M) and large (340M), cased and uncased, multilingual and Chinese checkpoints; many smaller official sizes.
- Context length
- not in the notes
- Input
- text
- Output
- text
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).
Openness and Access
- Openness
- open weights permissive
- Licence
- Apache License 2.0 sources
- Access routes
- open weights download
Where this comes from
The licence file governs over registry tags and aggregator labels.
Deployment
- Runs on
- not in the notes
- Footprint
- not in the notes
- Runtimes
- not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.
Indonesia
- Indonesian support
- listed by developer
- Regional languages
- Burmese, Javanese, Malay, Minangkabau, Sundanese, Tagalog, Thai, Vietnamese
- Jakarta hosting
- unknown
- Languages
- Checkpoint model cards list 103 languages, including Indonesian
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.
Benchmark Results
The notes record no benchmark result for this model.
Industry Use Cases
No industry use case links this model.
Links
DeveloperGooglebig tech, USA
Googlebig tech, USAModelBERTGoogle, language encoder
BERTGoogle, language encoderR&D TopicsPretrained Bidirectional Text Encoders
Use CasesIndonesian NLU (Classification, NER)Public SectorEmbeddings and Retrieval for SEA LanguagesPublic SectorUse cases of models in the same R&D topic; none is recorded for this model itself.
Who Runs Itnone recordedDeployments of these use cases; none names this model.
Models 3
Organisations 1
Sources
- arxiv.org/abs/1810.04805 https://arxiv.org/abs/1810.04805
- github.com/google-research/bert https://github.com/google-research/bert
- github.com/GoogleCloudPlatform/vertex-ai-samples/tree/ma... https://github.com/GoogleCloudPlatform/vertex-ai-samples/tree/main/notebooks/community/model_garden
- jumpstart-cache-prod-us-west-2.s3.us-west-2.amazonaws.com/models_manifest.json https://jumpstart-cache-prod-us-west-2.s3.us-west-2.amazonaws.com/models_manifest.json
- huggingface.co/google-bert/bert-base-uncased https://huggingface.co/google-bert/bert-base-uncased
- huggingface.co/google-bert/bert-large-uncased https://huggingface.co/google-bert/bert-large-uncased
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "BERT", https://aurion.semai.id/models/google-bert/, records of October 2026.