media r/LocalLLaMA · 1h ago · open_models

Google DeepMind releases EmbeddingGemma 2, an open multimodal embedding model

from English

Google DeepMind has released EmbeddingGemma 2, an open-source multimodal embedding model that maps text, code, images, video, and audio into a unified 768-dimensional vector space. The model consists of 740 million total parameters, combining a 270M parameter text encoder with modular vision (170M) and audio (300M) encoders.

Designed to run on consumer hardware like mobile devices and laptops for low-latency semantic representations.
Supports on-device applications including search, retrieval-augmented generation (RAG), classification, and clustering.
Available as an open model via Hugging Face.

Importance 2/3 r/LocalLLaMA Google DeepMind Multimodal Open weights

Read original

media r/LocalLLaMA · 1h ago · 1 view Live

Google releases EmbeddingGemma 2, a best-in-class open model for natively multimodal embeddings

Google has released EmbeddingGemma 2, an open-source model designed for natively multimodal embeddings.

arxiv arXiv cs.CL · 91d ago · 24 views

Gemma 4 introduces natively multimodal models with unified encoder-free architecture

Google introduces Gemma 4, a new generation of open-weight, natively multimodal language models featuring dense and Mixture-of-Experts architectures ranging from 2.3B to 31B parameters.

arxiv Moonshot AI (arXiv) · 574d ago · 3 views

Google releases Gemma 3 multimodal models with 128K context and improved efficiency

Google introduces Gemma 3, a new family of lightweight open multimodal models ranging from 1 to 27 billion parameters. This update adds vision understanding, support for at least 128K tokens of context, and expanded multilingual coverage compared to previous versions.

arxiv arXiv cs.CL · 14h ago · 17 views

Eduardo: Multi-turn RL trains LLM tutors to teach via masked post-test

Researchers introduce Eduardo, a multi-turn reinforcement learning recipe for training large language model tutors that addresses the "assistance dilemma" where models tend to give answers rather than teach. The method uses a masked near-transfer post-test and binary reward gates to discourage cognitive offloading and prevent solution handover.

arxiv arXiv cs.CL · 6d ago · 30 views

Index-Translate releases multilingual model family for text, speech, and long documents

The authors introduce Index-Translate, a multilingual translation model family combining a shared foundation with specialized training for general translation, instruction following, speech translation, controlled dubbing, and long-document translation. The family includes 2B, 9B, and 35B-A3B models supporting 150 languages.