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Liquid AI releases 3B vision-language model for on-device use

By PulseAugur Editorial · [2 sources] ·

Liquid AI has launched LFM2.5-VL-3B, a 3.1 billion parameter vision-language model designed for on-device applications. This model excels at reading digital screens, identifying objects with coordinates, and processing documents and charts. It also supports function calling, enabling it to interact with tools based on text or image inputs. While achieving strong performance on various benchmarks, it is noted as a non-reasoning model, prioritizing low latency. AI

IMPACT Enables on-device screen reading and tool calling, potentially accelerating GUI automation and offline AI applications.

RANK_REASON New model release from a frontier AI lab. [lever_c_demoted from frontier_release: ic=2 ai=1.0]

Read on Mastodon — sigmoid.social →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Liquid AI releases 3B vision-language model for on-device use

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0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
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Significant
New model release from a frontier AI lab. [lever_c_demoted from frontier_release: ic=2 ai=1.0]
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2 independent sources
Multiple independent publishers reporting the same story raises confidence that it's real and newsworthy.
Topics
model release, product
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High
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45 days old
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COVERAGE [2]

  1. MarkTechPost TIER_1 English(EN) · Asif Razzaq ·

    Liquid AI Releases LFM2.5-VL-3B: A 3B Vision-Language Model That Reads Screens, Grounds Objects, and Calls Tools On-Device

    <p>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…

  2. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    Liquid AI's 3B vision model jumps 54% on grounding LFM2.5-VL-3B, released August 12, pairs a 400M vision encoder with a 2.6B text backbone for on-device AI, but

    Liquid AI's 3B vision model jumps 54% on grounding LFM2.5-VL-3B, released August 12, pairs a 400M vision encoder with a 2.6B text backbone for on-device AI, but speed and edge claims stay unproven. https://www. notatechguy.com/liquid-ai-s-3b -vision-model-jumps-54-on-grounding/ #…

    LINKS notatechguy.com/liquid-ai-s-3b-vision-mod…

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