LLMfamily
DataGemma
Gemma 2 27B models fine-tuned to ground answers in public statistics from Google Data Commons, by interleaving queries (RIG) or by retrieval (RAG).
Levelfamily
ClassLLM
Parametersnot in the notes
Contextnot in the notes
Released26 Aug 2024
Opennessopen weights restricted
Runs onnot in the notes
Statusactive
Lineage
DataGemma RIG 27B IT belongs to this familyLLM27 Aug 202427.23BDataGemma RAG 27B IT belongs to this familyLLM26 Aug 202427.23BWhere 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.
R&D Topics
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
- –
- 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 restricted
- Licence
- Gemma Terms of Use 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
- not stated
- Regional languages
- not in the notes
- Jakarta hosting
- unknown
- Languages
- not in the notes
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, USAModelDataGemmaGoogle, LLM
DataGemmaGoogle, LLMR&D TopicsDomain Adaptation (Vertical Models)Open-Weight Frontier Releases as Research SubstrateRetrieval-Augmented Generation (RAG)
Use CasesClinical LLM (Open Weights)HealthcareClinical LLM (Frontier Proprietary)HealthcareRadiology Report GenerationHealthcarePharma Documents, Regulatory and Life-Science R&DHealthcare+12 moreUse cases of models in the same R&D topic; none is recorded for this model itself.
Who Runs It
Kementerian Kesehatan (Kemenkes), PusdatinPlanned, 19 Aug 2026
PT Pertamina Geothermal EnergyIn production, 14 Jul 2026
PT Amman Mineral Nusa Tenggara (AMMAN)In production, 8 Jul 2026
Banner HealthIn production, 11 Jan 2026+53 moreDeployments of these use cases; none names this model.
Kementerian Kesehatan (Kemenkes), PusdatinPlanned, 19 Aug 2026PT Pertamina Geothermal EnergyIn production, 14 Jul 2026PT Amman Mineral Nusa Tenggara (AMMAN)In production, 8 Jul 2026Banner HealthIn production, 11 Jan 2026+53 moreDeployments of these use cases; none names this model.Organisations 1
R&D topics 3
Sources
- kaggle.com/models/google/datagemma-rig https://www.kaggle.com/models/google/datagemma-rig
- kaggle.com/models/google/datagemma-rag https://www.kaggle.com/models/google/datagemma-rag
- huggingface.co/google/datagemma-rig-27b-it https://huggingface.co/google/datagemma-rig-27b-it
- huggingface.co/google/datagemma-rag-27b-it https://huggingface.co/google/datagemma-rag-27b-it
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "DataGemma", https://aurion.semai.id/models/google-datagemma/, records of October 2026.