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Google releases open-weight Gemma 4 multimodal models with long context

Google DeepMind has released Gemma 4, a new family of open-weight models licensed under Apache 2.0, marking a significant advancement in their open-source AI offerings. The models are designed for reasoning and agentic workflows, with versions optimized for local and edge deployment, including native multimodal capabilities for text, vision, and audio. Early benchmarks suggest competitive performance, with the 31B model ranking highly among open-source options, and rapid ecosystem support has emerged from various platforms like llama.cpp and Ollama. AI

Summary written by gemini-2.5-flash-lite from 3 sources. How we write summaries →

IMPACT Accelerates local and edge AI development with permissive licensing and multimodal capabilities.

RANK_REASON Frontier lab (Google DeepMind) model release with open weights and significant capability improvements.

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Google releases open-weight Gemma 4 multimodal models with long context

COVERAGE [3]

  1. Smol AINews TIER_1 ·

    Gemma 4

    **Google DeepMind** released **Gemma 4**, a family of open-weight, multimodal models with long-context support up to **256K tokens** under an **Apache 2.0 license**, marking a major capability and licensing shift. The lineup includes **31B dense**, **26B MoE (A4B)**, and two edge…

  2. dev.to — LLM tag TIER_1 · xbill ·

    Is Brain Float (bf16) Worth it?

    <p><em>This is a submission for the <a href="https://dev.to/challenges/google-gemma-2026-05-06">Gemma 4 Challenge: Build with Gemma 4</a></em></p> <p>After some basic benchamarking - I realized that vLLM defaults to the standard precision instead of the memory optimized Brain Flo…

  3. Mastodon — fosstodon.org TIER_1 Italiano(IT) · [email protected] ·

    With LM Studio and Gemma 4 AI, I created a LinkedIn fuffaguru. Do you think I succeeded? #AI #AI #fuffaguru #linkedin

    Con LM Studio e l'IA di Gemma 4 ho creato un fuffaguru Linkedin. Dite che ci sono riuscito? # IA # AI # fuffaguru # linkedin