EmbeddingGemma 2

Headlines · 3

1. 22h
   Ollama v0.40.0 defaults to MLX on Apple Silicon

   Ollama v0.40.0 makes MLX the default runtime for supported model architectures on Apple Silicon. The release also adds MLX support for decision models and the EmbeddingGemma 2 embedding model, with additional model families listed in the release notes.

   Ollama Releases · 🔥 5
2. 24h
   Transformers v5.19.0 adds EmbeddingGemma 2 support

   Hugging Face Transformers v5.19.0 adds support for EmbeddingGemma 2, Google’s multimodal embedding model for text, images, audio, and video in a shared 768-dimensional vector space. The release also changes MoE router-logit outputs, expands expert-parallel token dispatch, updates continuous-batching attention behavior, and fixes quantized and per-layer cache handling.

   Transformers Releases · 🔥 5
3. 2d
   Google releases EmbeddingGemma 2, a 740M on-device multimodal embedding model

   Google announced EmbeddingGemma 2 on October 6, a 740M-parameter open model built on Gemma 4 and released under Apache 2.0 that maps text, code, images, video and audio into one shared 768-dimensional space. It is modular: text/code alone needs 270M parameters, with optional vision (440M) and audio (570M) encoders up to 740M for full multimodal, and Matryoshka Representation Learning lets developers truncate vectors to 512, 256 or 128 dimensions for up to 6x storage savings. Google says it scores 78.68 versus 68.76 for the previous version on MTEB (Code) and beats some rival models twice its size; with quantization it uses about 191MB of RAM for text-only on a Pixel 11 Pro. Google also showed an experimental Mac app, AI Edge Foresight, for offline note-taking and personal knowledge retrieval.

   Google Developers Blog · 🔥 34

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