edge LLMfamily
Gemma 3n
Google's on-device multimodal open model family for phones, laptops and tablets; predecessor to the Gemma 4 E-series.
Levelfamily
Classedge LLM
Parametersnot in the notes
Context32,000
Releasednot in the notes
Opennessopen weights restricted
Runs onmobile or NPU, laptop, offline capable
Statusactive
Benchmark Results
vendor-reported
ARC-cknowledge and reasoning
Global MMLUknowledge and reasoning
GPQA Diamondknowledge and reasoning
HellaSwagknowledge and reasoning
LiveCodeBench v5 v5coding
MGSMmath
Where this comes from
Every score names who ran it: vendor-reported, maintainer-run or independent. A rank is shown with the population it was ranked in (gap rule 3).
Lineage
successor
Gemma 4 is a child (successor)medium confidencenotesGemma 3n E2B belongs to this familyedge LLM12 Jun 2025Gemma 3n E4B belongs to this familyedge LLM3 Jun 2025Where this comes from
Parent and child relations from model cards, Hugging Face base_model fields and the genealogy tables of the research notes. The tree shows two generations each way, 2 models. Confidence and evidence are the notes' own.
R&D Topics
Identity
- Developer
- Google DeepMind
- Family
- not in the notes
- Released
- – sources
- Weights published
- –
- Record checked
- 10 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
- other MatFormer architecture, Per-Layer Embedding (PLE) caching, conditional loading of vision and audio parameters, MobileNet-V5 vision encoder
- Total parameters
- – sources
- Active parameters
- –
- Checkpoint parameters
- –
- Context length
- 32,000 tokens
- Input
- text, image, audio
- 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
- mobile or NPU, laptop, offline capable
- 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
- Trained on over 140 languages
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.
Industry Use Cases
No industry use case links this model.
Links
ModelGemma 3nGoogle DeepMind, edge LLM
Gemma 3nGoogle DeepMind, edge LLMUse CasesIndustrial Copilots and Maintenance AssistantsIndustrialIndonesian and Regional-Language LLMsPublic SectorTelecom Domain LLMs and BenchmarksTelecomRobot Inspection with Instrument ReadingIndustrial+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
Siemens Erlangen electronics factoryPlanned, 6 Jan 2026
ADNOC OffshoreIn production, 9 Sep 2025
Aker BPIn production, 9 Sep 2025+10 moreDeployments of these use cases; none names this model.
PT Pertamina Geothermal EnergyIn production, 14 Jul 2026Siemens Erlangen electronics factoryPlanned, 6 Jan 2026ADNOC OffshoreIn production, 9 Sep 2025Aker BPIn production, 9 Sep 2025+10 moreDeployments of these use cases; none names this model.Models 3
Organisations 1
R&D topics 3
Small Language Models (SLM)Models under about 10B parameters that fit consumer devices.produced byVisual Instruction TuningConnecting a vision encoder to a language model and training it on image-grounded instruc…produced byQuantization and Edge InferenceLower-bit weights and on-device serving.produced by
Sources
- Gemma 3n , Google DeepMind deepmind.google https://deepmind.google/models/gemma/gemma-3n/
- Descripción general del modelo Gemma 3n | Google AI for Developers ai.google.dev https://ai.google.dev/gemma/docs/gemma-3n
- Gemma 3n model card | Google AI for Developers ai.google.dev https://ai.google.dev/gemma/docs/gemma-3n/model_card
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Gemma 3n", https://aurion.semai.id/models/google-gemma-3n/, records of October 2026.