GoogleOpen weights

EmbeddingGemma 2

Announced · Reviewed

A compact model that maps different media into a shared embedding space for local search and retrieval. Text, vision and audio components can be selected to fit the application.

Reviewed tasks
Search and retrieval
Reviewed modalities
Text, Images, Audio, Video
Deployment paths
Downloadable weights
Focus / inputs
Text, images, audio and video → embeddings
Availability / restrictions
Downloadable weights on Hugging Face and Kaggle, with local deployment tools linked from the announcement.
Licence category
Apache-2.0
Licence / terms
Apache 2.0, as stated in the official release.

Variants, limits and list prices

Values are copied from the linked first-party pages as stated, with the date each group was checked. Unknown means the pages checked do not state the value. Prices are list prices, not a quote or a ranking.

Variants of EmbeddingGemma 2
FieldEmbeddingGemma 2
API identifierUnknown
ReleasedUnknown
Status and retirementUnknown
Lifecycle checkedChecked
Context window8,192 tokens shared across modalities
Max inputUnknown
Max outputNot applicable: 768-dimension embeddings, with Matryoshka sizes 128, 256 and 512
Rate limitsUnknown
Limit notesUnknown
Limits checkedChecked
Base input priceNo list price
Base output priceNo list price
Cache-read priceNo list price
Price conditionsFree downloadable weights; no usage list price applies.
Prices checkedChecked
Knowledge cutoffUnknown
Cutoff checkedChecked

Parameters and weights

Parameters
740M total: 270M text (130M backbone and 140M embedder), 170M vision and 300M audio
Formats
Safetensors (BF16)
Checked

Sources