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Model garden Router · on request Dedicated · available

embeddinggemma 300m qat q8 0 unquantized

Runs as your own dedicated GPU deployment, ready to launch from the wizard. Data stays in Europe.

embeddinggemma 300m qat q8 0 unquantized is an open-source language model from Google with 0.3B parameters, hosted on EU GPUs via an OpenAI-compatible API.

Start for free ← All models
google/embeddinggemma-300m-qat-q8_0-unquantized On request
text->embedding · google · sovereign EU
Runs on EU infrastructure operated by European companies; US marketplace capacity is never part of this chain. Full chain
0.3B
Parameters
—
Context window
8GB
Minimum VRAM
POST /api/v1/embeddings On request

Specifications

Parameters 0.3B
Minimum VRAM 8 GB
Architecture Gemma3TextModel (vLLM)
License gemma
Modality text->embedding
Released August 2025
Publisher google ↗

Pricing

Shared router · per token
On request
Not available on the shared router. Pricing on request as a dedicated GPU deployment.
Dedicated GPU · per hour
from €1,95 per hour
Your own vLLM instance on European cloud (8 GB VRAM), billed hourly.

Shared EU router, pay-per-token, scale-to-zero. Dedicated GPU deployments are billed hourly, see pricing.

Call it now

Drop-in replacement for OpenAI: change only the base URL and API key. The Anthropic format (/v1/messages) is supported too.

curl https://hostyourai.com/api/v1/embeddings \
  -H "Authorization: Bearer hyai-..." \
  -H "Content-Type: application/json" \
  -d '{
    "model": "google/embeddinggemma-300m-qat-q8_0-unquantized",
    "input": "The quick brown fox"
  }'

Frequently asked questions

Can I run embeddinggemma 300m qat q8 0 unquantized in the EU?

Yes. HostYourAI runs embeddinggemma 300m qat q8 0 unquantized on GPUs in European datacenters via vLLM. Prompts and outputs never leave the EU and there is no US cloud provider in the chain.

Is hosting embeddinggemma 300m qat q8 0 unquantized GDPR-compliant?

Yes. All processing happens inside the EU, a Data Processing Agreement (DPA) is available and the subprocessor list is public. Open-source weights also mean: no training on your data.

How much does embeddinggemma 300m qat q8 0 unquantized cost?

embeddinggemma 300m qat q8 0 unquantized needs several GPUs at once, so it runs as a dedicated deployment billed per GPU-hour rather than per token. Tell us your volume and we will work it out with you.

Is the API OpenAI-compatible?

Yes. You use the standard OpenAI SDKs with a custom base URL (https://hostyourai.com/api/v1). The Anthropic Messages API is supported as a drop-in as well.

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