cloudflare
google/embeddinggemma-300m
cloudflare/google/embeddinggemma-300m
EmbeddingGemma is a 300M parameter, state-of-the-art for its size, open embedding model from Google, built from Gemma 3 (with T5Gemma initialization) and the same research and technology used to create Gemini models. EmbeddingGemma produces vector representations of text, making it well-suited for search and retrieval tasks, including classification, clustering, and semantic similarity search. This model was trained with data in 100+ spoken languages.
- Type
- embeddings
- Provider
- cloudflare
- Model ID
- cloudflare/google/embeddinggemma-300m
- Capabilities
- tools
- Self-hostable
- Yes — runs on your own GPU
Listed in the directory for discovery. embeddingsmodels aren't callable through the chat gateway yet — image and video models can run on your own nodes today.
/// initialize
Call google/embeddinggemma-300m through one OpenAI-compatible endpoint.
Serve it from hardware you own, with cloud failover when your nodes are busy or offline.
no credit card · 2 nodes free · openai-compatible
Frequently asked questions
- Can I run google/embeddinggemma-300m on my own hardware?
- Yes — google/embeddinggemma-300m is an open-weight model you can run on a workstation or on-prem server you own. Wide Area Intelligence routes requests to your own nodes first and fails over to the cloud only when they can't serve.
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