LLM
VaultGemma 1B
1-billion-parameter Gemma model trained from scratch with differential privacy, so it gives formal privacy guarantees on its training data.
Levelmodel
ClassLLM
Parameters1.04B
Contextnot in the notes
Released5 Sep 2025
Opennessopen weights restricted
Runs onnot in the notes
Statusactive
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
- 1.04B sources
- Active parameters
- –
- Checkpoint parameters
- –
- Note
- Parameter count from the safetensors index on Hugging Face.
- 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.
Lineage
The notes record no lineage for this model.
Industry Use Cases
No industry use case links this model.
Links
DeveloperGooglebig tech, USA
Googlebig tech, USAModelVaultGemma 1BGoogle, LLM
VaultGemma 1BGoogle, LLMR&D TopicsDifferentially Private Language Model TrainingOpen-Weight Frontier Releases as Research SubstrateSmall Language Models (SLM)
Use CasesTelecom Domain LLMs and BenchmarksTelecomIndustrial Copilots and Maintenance AssistantsIndustrialClinical LLM (Open Weights)HealthcareProcess Optimisation and Advanced Process ControlIndustrial+1 moreUse cases of models in the same R&D topic; none is recorded for this model itself.
Who Runs It
PT Pertamina Geothermal EnergyIn production, 14 Jul 2026
PT Amman Mineral Nusa Tenggara (AMMAN)In production, 8 Jul 2026
Siemens Erlangen electronics factoryPlanned, 6 Jan 2026MIND IDResearch, 14 Oct 2025+16 moreDeployments of these use cases; none names this model.
PT Pertamina Geothermal EnergyIn production, 14 Jul 2026PT Amman Mineral Nusa Tenggara (AMMAN)In production, 8 Jul 2026Siemens Erlangen electronics factoryPlanned, 6 Jan 2026MIND IDResearch, 14 Oct 2025+16 moreDeployments of these use cases; none names this model.Organisations 1
R&D topics 3
Open-Weight Frontier Releases as Research SubstrateUsing released weights as the base for downstream research.used bySmall Language Models (SLM)Models under about 10B parameters that fit consumer devices.produced byDifferentially Private Language Model TrainingTraining language models with differential privacy, adding calibrated noise during traini…exemplar
Sources
- huggingface.co/google/vaultgemma-1b https://huggingface.co/google/vaultgemma-1b
- kaggle.com/models/google/vaultgemma https://www.kaggle.com/models/google/vaultgemma
- kaggle.com/models/keras/vaultgemma https://www.kaggle.com/models/keras/vaultgemma
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "VaultGemma 1B", https://aurion.semai.id/models/google-vaultgemma-1b/, records of October 2026.