谷歌發佈全新多模態模型Gemma4 12B，顛覆傳統架構，取消獨立編碼器組件，實現消費級硬件上的高效本地部署與推理。這一突破顯著降低多模態模型的計算複雜度，提升運行速度，標誌着開源大模型生態進入新階段。
Google發佈全新開源大模型Gemma412B，採用“Unified”無編碼器架構，突破端側全模態AI。該模型無需傳統視覺、音頻外部編碼器，直接輸入文字、圖像、音頻、視頻四種模態數據至同一Transformer主幹網絡處理，消除了外掛“翻譯”模塊帶來的顯存佔用和高延遲問題。
谷歌DeepMind發佈開源大模型Gemma4，雖參數規模保持約300億，但“單位參數智能密度”顯著提升，性能媲美一年半前的頂尖閉源模型。其核心突破在於引入“E2B”（參數卸載）架構，標誌着開源大模型底層架構的重大升級。
Apple Silicon 本地AI生態迎來重要更新：oMLX框架0.3.9.dev2版本發佈，深度集成Gemma4的MTP視覺路徑、DFlash引擎及ParoQuant量化技術，顯著提升圖文多模態處理速度與易用性，進一步鞏固蘋果端側AI的競爭力。
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