Liquid AI Releases LFM2.5-VL-3B: A 3B Vision-Language Model That Reads Screens, Grounds Objects, and Calls Tools On-Device
MarkTechPost
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Liquid AI released LFM2. 5-VL-3B, a 3. 1B-parameter vision-language model built for on-device deployment. It averages 80. 7 on ScreenSpot-v2 and lifts RefCOCO grounding from 57. 1 to 87. 9. Function calling is new to the VL line, with ToolSandbox moving from 26. 4 to 59. 5.
The model fits in roughly 3 GB and decodes 228 tokens/s on an Apple M5 Max. The post Liquid AI Releases LFM2. 5-VL-3B: A 3B Vision-Language Model That Reads Screens, Grounds Objects, and Calls Tools On-Device appeared first on MarkTechPost.
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Original source: MarkTechPost