字節發佈14B參數多模態神器BAGEL，碾壓Qwen2.5-VL，圖像生成媲美SD3
字節跳動Seed團隊在Hugging Face平臺重磅發佈BAGEL，一款基於混合專家（MoE）架構的開源多模態基礎模型，擁有14億總參數和7億活躍參數。BAGEL在數萬億token的交錯多模態數據集上預訓練，性能超越Qwen2.5-VL和InternVL-2.5，圖像生成質量媲美SD3，並支持複雜推理任務如自由圖像編輯、未來幀預測和3D生成，引發全球AI社區熱議。AIbase綜合最新社交媒體動態，深入解析BAGEL的技術亮點及其對多模態AI領域的革命性影響。項目地址：https://github.com/bytedance-seed/BAGELBAGEL:多模態理解與生成的統一標杆BAGEL（ByteD
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