Qwen2.5VL的token演化规律探究-开发者社区

UMAP可视化

Qwen2.5VL输入的input ids的token embedding的UMAP可视化：

其中type 0代表img token的占位符，由于都是同样的token，所以在空间距离上接近

type1代表system prompt的token

type2代表text token

Qwen2.5VL输入的input ids的token embedding+将img token的占位符换成经过ViT的实际img token的UMAP可视化：

可以看出此时img token和text token还是分为了明显不同的簇

在经过LLM之后得到的最后一层的hidden embedding中，UMAP显示此时的img token基本上和text token融合到了一起。其中type4代表img token之间的<|vision_start|>和<|vision_end|> token

直接将LLM得到的最后一层的hidden embedding经过mlp head并按照最大概率转换成ids，并用detokenizer解码得到text，发现视觉token基本上转化为了图像里面包含的物体的名字，这进一步说明其实最后visual token已经对齐到了text语意空间。

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