language encoderfamily
mmBERT
Modern multilingual encoder trained on text in over 1,800 languages, a ModernBERT-style successor to XLM-R for classification and retrieval.
Levelfamily
Classlanguage encoder
Parametersnot in the notes
Contextnot in the notes
Released23 Jul 2025
Opennessopen weights permissive
Runs onnot in the notes
Statusactive
Lineage
mmBERT small belongs to this familylanguage encoder21 Aug 2025mmBERT base belongs to this familylanguage encoder23 Jul 2025Where 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
- Developer
- Johns Hopkins University (CLSP)
- Family
- not in the notes
- Released
- 23 Jul 2025 sourcesregistry date
- Weights published
- –
- Record checked
- 12 Oct 2026
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
- –
- 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
- MIT License 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
- Acehnese, Balinese, Banjar, Buginese, Javanese, Madurese, Minangkabau, Sundanese, Malay
- Jakarta hosting
- unknown
- Languages
- Checkpoint model cards list 1811 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
ModelmmBERTJohns Hopkins University (CLSP), language encoder
mmBERTJohns Hopkins University (CLSP), language encoderR&D TopicsMultilingual and Regional Text Encoders
Use CasesIndonesian NLU (Classification, NER)Public 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 2
Organisations 1
Sources
- huggingface.co/api/models?pipeline_tag=fill-mask&sort=likes&... https://huggingface.co/api/models?pipeline_tag=fill-mask&sort=likes&limit=50
- huggingface.co/jhu-clsp/mmBERT-small https://huggingface.co/jhu-clsp/mmBERT-small
- huggingface.co/jhu-clsp/mmBERT-base https://huggingface.co/jhu-clsp/mmBERT-base
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "mmBERT", https://aurion.semai.id/models/jhu-clsp-mmbert/, records of October 2026.