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English(EN) Gemma 4 Technical Report

Google 发布 Gemma 4 多模态模型,增强推理能力

Google 推出了新的开源权重多模态语言模型系列 Gemma 4。这些模型采用密集和混合专家(Mixture-of-Experts)架构,参数量从 2.3B 到 31B 不等。Gemma 4 包含增强的视觉和音频编码器,以及一种新颖的无编码器架构(用于其 12B 模型),可处理原始音频和图像块。模型还包含一个“思考模式”,用于在提供响应前生成推理轨迹,同时提高了推理速度、内存效率和长上下文能力。 AI

影响 在 STEM 和多模态基准测试中设定了新的 SOTA(State-of-the-Art),可能对现有的开源模型构成挑战。

排序理由 前沿实验室模型发布,附带系统卡 [lever_c 从 frontier_release 降级:ic=2 ai=1.0]

在 r/LocalLLaMA 阅读 →

AI 生成摘要 · Google Gemini · 来自 3 个来源。 我们如何撰写摘要 →

Google 发布 Gemma 4 多模态模型,增强推理能力

报道来源 [3]

  1. arXiv cs.AI TIER_1 English(EN) · Gemma Team, Sherif El Abd, Vaibhav Aggarwal, Robin Algayres, Alek Andreev, Olivier Bachem, Ian Ballantyne, Cormac Brick, Victor C\u{a}rbune, Michelle Casbon, Mayank Chaturvedi, Victor Cotruta, Alice Coucke, Phil Culliton, Robert Dadashi, Lucas Dixon, Moh… ·

    Gemma 4 技术报告

    arXiv:2607.02770v1 Announce Type: cross Abstract: We introduce Gemma 4, a new generation of open-weight, natively multimodal language models in the Gemma model family. Designed to advance compute efficiency and reasoning, the Gemma 4 model suite features dense and Mixture-of-Expe…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    Gemma 4 技术报告

    Gemma 4 introduces efficient, multimodal language models with diverse architectures, enhanced reasoning capabilities, and improved performance across various tasks.

  3. r/LocalLLaMA TIER_1 English(EN) · /u/jacek2023 ·

    Gemma 4 技术报告

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1uprjf3/gemma_4_technical_report/"> <img alt="Gemma 4 Technical Report" src="https://external-preview.redd.it/q3evP6JeDpAC2MdSQHWYxnCYTqbJkElIQsLFqVSdkss.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=de730f…