embedding
EmbeddingGemma 300M
Small model listed in the Ollama library for CPU, laptop and phone use.
Levelmodel
Classembedding
Parametersnot in the notes
Contextnot in the notes
Released17 Jul 2025
Opennessunknown
Runs onCPU server, laptop, mobile or NPU
Statusactive
R&D Topics
Runtimes
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
- not in the notes
- Total parameters
- – sources
- Active parameters
- –
- Checkpoint parameters
- –
- Note
- 300M
- 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
- unknown
- Licence
- not in the notes sources
- Access routes
- not in the notes
Where this comes from
The licence file governs over registry tags and aggregator labels.
Deployment
- Runs on
- CPU server, laptop, mobile or NPU
- Footprint
- Ollama GGUF build
- Runtimes
- Ollama
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, USAModelEmbeddingGemma 300MGoogle, embedding
EmbeddingGemma 300MGoogle, embeddingR&D TopicsQuantization and Edge InferenceRetrieval-Augmented Generation (RAG)Text Embeddings for Semantic Search
Use CasesEmbeddings and Retrieval for SEA LanguagesPublic SectorIndonesian and Regional-Language LLMsPublic SectorIndustrial Copilots and Maintenance AssistantsIndustrialUse 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.Organisations 1
R&D topics 3
Retrieval-Augmented Generation (RAG)Grounding generation in retrieved documents.used byText Embeddings for Semantic SearchTraining encoders that turn text in many languages into vectors so that search, clusterin…produced byQuantization and Edge InferenceLower-bit weights and on-device serving.used by
Sources
- library ollama.com https://ollama.com/library
- huggingface.co/google/embeddinggemma-300m https://huggingface.co/google/embeddinggemma-300m
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "EmbeddingGemma 300M", https://aurion.semai.id/models/google-embeddinggemma-300m/, records of October 2026.