Official news, first rumor reports and substantive progress. Each entry keeps the information published at that time.
No topics found. Try another name.
The mlx-community organization on Hugging Face published MLX builds of Google's EmbeddingGemma 2 embedding model, including an NVFP4 quantization.
Google DeepMind released EmbeddingGemma 2, an open multimodal embedding model under Apache 2.0 that maps text including code, images, video, and audio into a single 768-dimensional vector space. The model has 740 million total parameters, combining a 270M text model with 170M vision and 300M audio encoders. It is designed to run on consumer hardware like phones and laptops for low-latency search, RAG, classification, and clustering. EmbeddingGemma 2 builds on the Gemma 4 architecture.