Hugging Face 釋出 2025 視覺語言模型（VLM）指南：更強、更快、更實用的開源新時代
Original: Vision Language Models (Better, faster, stronger)
With the explosion of multimodal technology, Vision Language Models (VLMs) have evolved from laboratory research prototypes into core tools…
Hugging Face 發布 2025 年視覺語言模型（VLM）趨勢報告。文章深入探討 VLM 在「更強（推理與 OCR）」、「更快（輕量化與推論優化）」與「更實用（多模態 Agent）」三大維度的演進。推薦了 Qwen2.5-VL、Llama-3.2-Vision 等主流開源模型，並介紹如何利用 Hugging Face 生態系進行高效部署與微調。
With the explosion of multimodal technology, Vision Language Models (VLMs) have evolved from laboratory research prototypes into core tools for enterprises and developers in real production environments. Hugging Face recently published a comprehensive article taking stock of the latest technological advances in VLMs in 2025, analyzing the massive transformation of the open-source VLM ecosystem across three dimensions: "Better," "Faster," and "Stronger."
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