@aiDotEngineer: Gemma, DeepMind's Family of Open Models https://youtube.com/watch?v=_gVFUEdhCyI… In the first ever public talk after th…
Summary
Google DeepMind’s Gemma family of open models has surpassed 500 million downloads, praised for offering the highest capability-per-bit among open-source LLMs.
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Gemma 4: Byte for byte, the most capable open models
Google DeepMind introduces Gemma 4, its most capable family of open models to date, designed for advanced reasoning and agentic workflows with high intelligence-per-parameter efficiency across multiple sizes.
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Google DeepMind releases Gemma 4, a family of open-weight multimodal models ranging from 2.3B to 31B parameters with support for text, image, video, and audio inputs. The models feature 256K context windows, MoE and dense architectures, enhanced reasoning capabilities, and are optimized for deployment across devices from mobile to servers.
@GoogleDeepMind: It gives access to 200+ of the world’s leading models through the Model Garden. This includes our latest breakthroughs:…
Google DeepMind’s Model Garden now hosts 200+ leading models, including the newly released Gemini 3.1 Pro, Gemini 3.1 Flash Image, Lyria 3, and the open Gemma 4.
MedGemma: Our most capable open models for health AI development
Google DeepMind released MedGemma 27B Multimodal and MedSigLIP, expanding their open-source Health AI Developer Foundations to include high-performing, privacy-preserving models for medical text and imaging tasks.
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Google DeepMind releases Gemma 4, a family of open-weights multimodal models featuring Multi-Token Prediction (MTP) for up to 2x decoding speedups, supporting text, image, video, and audio with enhanced reasoning and coding capabilities.