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.
Ollama has added support for Google DeepMind's EmbeddingGemma 2, allowing developers to run the multimodal on-device embedding model locally.
Reflection announced Beam, an open agentic AI model with 501B total parameters and 23B active parameters, scheduled to release full weights this month. Ollama also stated that more US models are coming to its platform.
Three models are now available on Ollama for /v1/systemone: Nimble, Tev1 4b, and Tev1 0.8b, each with an Ollama library page.
Ollama says Jev-like decision models now run entirely on a local machine. Nimble can be installed with ollama pull nimble and used through a new local /v1/systemone API.
The model runs entirely on his Mac through Ollama and, by his account, classifies tasks in about 50 ms end to end. Weights and benchmarks are not available yet; Hassan says both will be released very soon.