Mini-InternVL：一款灵活迁移的口袋多模态模型

from AI Podcast · host weedge

本播客讨论了 Mini-InternVL，这是一款参数范围从 1B 到 4B 的多模态大型语言模型（MLLM），它仅用 5% 的参数实现了 90% 的性能。该模型具有统一的自适应框架，可以迁移并在自动驾驶、医学图像和遥感等下游任务中胜过专用模型。

Episode metadata supplied by the publisher feed · Published Feb 10, 2025

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Mini-InternVL：一款灵活迁移的口袋多模态模型

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