字节跳动开源多模态模型 BAGEL：图文生成与编辑的新突破
字节跳动 发布了一款名为 BAGEL 的开源多模态基础模型，拥有70亿个活跃参数，整体参数量达到140亿。BAGEL 在标准多模态理解基准测试中表现出色，超越了当前一些顶级开源视觉语言模型，如 Qwen2.5-VL 和 InternVL-2.5。此外，在文本到图像的生成质量上，BAGEL 的表现也与强大的专业生成器 SD3相媲美。更重要的是，BAGEL 在经典图像编辑场景中的效果优于许多领先的开源模型。BAGEL 采用了一种名为混合变换器专家（MoT）的架构，旨在最大化模型对多样化多模态信息的学习能力。它使用两个独立的编
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