google/embeddinggemma-2
google/embeddinggemma-2 is a google record on this register. The Hugging Face model API lists the pipeline tag as feature-extraction. The safetensors index gives an exact parameter count of 744,371,512. Architectural context length (max_position_embeddings) is 262,144. The listed licence is apache-2.0. The Hub repository was created on 14 Sept 2026, which is the release date this register uses.
Primary source: the Hugging Face model card for google/embeddinggemma-2. Fields below come from that card, the Hub model API, and the repository’s own config.json when those files exist. A field we cannot source is omitted rather than guessed.
| Organisation | |
|---|---|
| ReleasedRepo creation date on Hugging Face | 14 Sept 2026 |
| Last modified | 6 Oct 2026 |
| ParametersExact, from the safetensors index | 744M 744,371,512 |
| Context lengthmax_position_embeddings — architectural maximum, not necessarily served | 256K 262,144 |
| Licence | apache-2.0 |
| Pipeline / taskpipeline_tag on the Hugging Face model API | feature-extraction |
| File formats | safetensors |
| Librarylibrary_name on the Hugging Face model API | transformers |
| Architecture | embedding_gemma2 |
| Layers | 12 |
| Vocabulary | 262,144 |
| DownloadsAt last check | 164.3k |
| Likes | 2.6k |
| Gated | No |
Lineage
1 conversion on this register name google/embeddinggemma-2 as their base.
How to run
Safetensors weights are on the Hugging Face repository. The parameter count on this page came from that index.
The Hugging Face model API lists the library as transformers.
Load it from huggingface.co/google/embeddinggemma-2. This page does not add install steps that the Hub files do not state.
Agent capabilities
Derived from the model’s own chat template, with the match counts behind each finding.
- ○Tool callingno evidence in template
- ○Reasoning / thinkingno evidence in template
- ●System prompt2 matches in template
- ●Image input3 matches in template
- ●Video input3 matches in template
- ●Audio input3 matches in template
Questions this record can answer
- When was embeddinggemma-2 released?
- The Hugging Face repository was created on 14 Sept 2026, which is the date this register uses.
- How many parameters does embeddinggemma-2 have?
- The safetensors index gives 744,371,512 parameters, shown here as 744M. That figure is exact, not rounded.
- What is the context length of embeddinggemma-2?
- 262,144 tokens. That is max_position_embeddings from the model's own config.json — the architectural maximum, not necessarily the context a provider serves.
- What licence is embeddinggemma-2 under?
- The Hub card lists apache-2.0.
- Is embeddinggemma-2 gated?
- No. The Hugging Face model API does not mark this repository as gated.
- Does the embeddinggemma-2 chat template show tool calling?
- The chat template was read and no tool-calling evidence was found.
Where each field came from
- Hugging Face model API — releasedAt, lastModified, downloads, likes, task, license, gated, parameters, libraryName, formats. Checked 18 Oct 2026.
- config.json — contextLength, layers, vocabSize, architecture. Checked 18 Oct 2026.
- chat template — capabilities. Checked 18 Oct 2026.
First recorded 6 Oct 2026, last checked 18 Oct 2026. This record is compiled automatically from the sources above. Where a field is blank, we could not source it and have not guessed. Canonical repository: huggingface.co/google/embeddinggemma-2.