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多模態模型

Multimodal models combine text, vision, code, and sometimes speech in one inference stack, making them relevant to agentic workflows, visual understanding, and human-computer interaction. This tag covers model design, long-context handling, fine-tuning, and deployment trade-offs, from Qwen3.5 vision tuning to Kimi K2.5 and MiMo.

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