EmbeddingGemma 300M

Name: EmbeddingGemma 300M
Author: Google DeepMind

Catalogue only Open weights

Sovereignty and hosting

Catalogue only

This model is catalogued for reference. It is not hosted on LLM EU yet, and no first-party endpoint serves it here. Requests to it go to the provider directly, under that provider's own terms.

Summary

EmbeddingGemma is a 308M-parameter text embedding model with a 768-dimensional output that can be truncated to 512, 256 or 128 dimensions through Matryoshka representation learning. The model card states a maximum input length of 2048 tokens and training data in over 100 spoken languages. It is released under Google’s Gemma terms rather than an OSI licence.

Specifications

Provider: Google DeepMind (US)
Context window: 2.0k
Parameters: 0.3B
Modalities: embedding
License: gemma · licence
Open weights: yes
Release date: 17 Jul 2025
Tasks: rag, multilingual-support, private, cheap

Languages

Strong: en, de, fr, es, it, pt, nl, pl

Adequate: sv, da, fi, cs, ro, el, uk, ru, ar, hi, zh, ja, ko, tr

Languages

Strong

Adequate

Not verified: the provider has not documented this claim. — a language is listed as strong only where a source claims it; the card links the evidence where one exists.

When to use it

Strengths

flexible output dimensions for cheaper vector indexes
small enough to embed on CPU
training data in over 100 languages

Limits

2048-token input limit
Gemma terms of use, not an OSI-approved licence
no retrieval benchmark has been run by LLM EU

Pricing

This model is catalogued for reference. It is not hosted on LLM EU yet, and no first-party endpoint serves it here. Requests to it go to the provider directly, under that provider's own terms.

Verification status

Where a field has no source, the card shows it as unverified instead of filling it in. An empty field is information.

LLM EU Verified means documented, not legally certified. It is not an AI Act conformity assessment and LLM EU is not an EU body.

Versions and variants

catalogue · Catalogue only · weights

Example request

curl https://api.llmeu.com/v1/chat/completions \
  -H "Authorization: Bearer $LLMEU_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"embeddinggemma-300m","messages":[{"role":"user","content":"Hello"}]}'

No playground is deployed for this model: no endpoint serves it, so a request would have nowhere to go.

Benchmarks

No published evaluation. This is a gap, not a hidden result.

Sources

Card changelog

17 Jul 2025 — Release date
19 Sept 2026 — Last reviewed

Last reviewed: 19 Sept 2026

Tasks

Retrieval (RAG)