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Liquid AI Releases LFM2.5-VL-450M: a 450M-Parameter Vision-Language Model with Bounding Box Prediction, Multilingual Support, and Sub-250ms Edge Inference

MarkTechPost / 4/12/2026

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Key Points

  • Liquid AI released LFM2.5-VL-450M, an updated 450M-parameter vision-language model following its earlier LFM2-VL-450M version.
  • The new model adds bounding box prediction, improved instruction following, and function calling support to extend practical multimodal capabilities.
  • It expands multilingual understanding to better handle instructions and inputs across more languages.
  • Liquid AI positions the model for edge deployment, targeting sub-250ms inference performance on embedded and mini-PC hardware such as NVIDIA Jetson Orin.

Liquid AI just released LFM2.5-VL-450M, an updated version of its earlier LFM2-VL-450M vision-language model. The new release introduces bounding box prediction, improved instruction following, expanded multilingual understanding, and function calling support — all within a 450M-parameter footprint designed to run directly on edge hardware ranging from embedded AI modules like NVIDIA Jetson Orin, to mini-PC […]

The post Liquid AI Releases LFM2.5-VL-450M: a 450M-Parameter Vision-Language Model with Bounding Box Prediction, Multilingual Support, and Sub-250ms Edge Inference appeared first on MarkTechPost.

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