Google Introduces Gemma 4 12B: A Unified, Encoder-Free Multimodal Model
Original: Introducing Gemma 4 12B: a unified, encoder-free multimodal model
Google launched Gemma 4 12B, a unified, encoder-free multimodal open model that simplifies cross-modal processing.
Google DeepMind has unveiled Gemma 4 12B, a next-generation open-weights model featuring a unified, encoder-free multimodal architecture. By eliminating the traditional separate vision encoder (such as ViT), it processes diverse modalities directly within a single Transformer network. This design simplifies training, reduces inference latency, and enhances cross-modal alignment, marking a significant milestone for open-source AI.
Google DeepMind 於今日發表了其開源模型家族的最新成員——Gemma 4 12B。這款擁有 120 億參數的模型，代表了開源多模態模型在架構設計上的重大突破。
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