Google DeepMind's EmbeddingGemma 2 is now available on Ollama
Ollama has added support for Google DeepMind's EmbeddingGemma 2, allowing developers to run the multimodal on-device embedding model locally.
CODEX / SIGNAL STUDIO
Ollama has added support for Google DeepMind's EmbeddingGemma 2, allowing developers to run the multimodal on-device embedding model locally.
EmbeddingGemma 2 features 740 million parameters and is published under an Apache 2.0 license, providing multimodal search and local retrieval-augmented generation capabilities on device.
Google DeepMind has introduced EmbeddingGemma 2, its first natively multimodal open model for on-device embeddings that unifies text, code, images, audio, and video in a shared space.
The three-year initiative aims to establish methods and standards to determine when AI models targeting antimicrobial resistance are accurate, reliable, and ready for deployment.