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Google DeepMind 发布 DiffusionGemma 26B 多模态模型

Google DeepMind 发布了 DiffusionGemma 26B A4B IT,这是一个开源的多模态生成模型,能够处理文本、图像和视频输入以生成文本输出。该模型基于 Gemma 4 26B A4B Mixture-of-Experts 架构构建,拥有 252 亿个总参数和 38 亿个激活参数。它支持 256K token 的上下文窗口,跨 35 种以上语言的多语言推理,并且可以在 NVIDIA H100 GPU 上每秒生成超过 1,100 个 token。 AI

影响 通过支持文本、图像和视频输入的开源模型,加速了多模态 AI 的发展。

排序理由 这是来自前沿实验室(Google DeepMind)的新模型发布。[lever_c_demoted from frontier_release: ic=1 ai=1.0]

在 r/LocalLLaMA 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

Google DeepMind 发布 DiffusionGemma 26B 多模态模型

本文如何被排名

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Significant
这是来自前沿实验室(Google DeepMind)的新模型发布。[lever_c_demoted from frontier_release: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, product
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
113 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

报道来源 [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/pmttyji ·

    nvidia/diffusiongemma-26B-A4B-it-NVFP4 · Hugging Face

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1u2np0a/nvidiadiffusiongemma26ba4bitnvfp4_hugging_face/"> <img alt="nvidia/diffusiongemma-26B-A4B-it-NVFP4 · Hugging Face" src="https://external-preview.redd.it/9EBAZR2owX7nOGzlCDPXd-p_xWnW0WyWy3qPB046G1s.png?…