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Liquid AI releases LFM3 family of 2B multimodal open-weight models

By PulseAugur Editorial · [1 sources] ·

Liquid AI has introduced LFM3, a new series of six open-weight models, each approximately 2 billion parameters in size. These models share a common architecture and are designed to handle diverse tasks including text, vision, audio, and decision-making. The top-performing model, LFM3-1.7B, reportedly outperforms Qwen3.5-9B on Liquid AI's internal benchmarks and operates efficiently with about 1 GB of memory at 4-bit precision. AI

IMPACT Provides new open-weight multimodal models for researchers and developers, potentially enabling new applications in text, vision, and audio processing.

RANK_REASON Release of a new family of open-weight models by a non-frontier lab. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Liquid AI releases LFM3 family of 2B multimodal open-weight models

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Release of a new family of open-weight models by a non-frontier lab. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    Liquid AI has released LFM3, a family of six open-weight models of roughly 2B parameters built on one shared backbone, covering text, vision, audio, omni and de

    Liquid AI has released LFM3, a family of six open-weight models of roughly 2B parameters built on one shared backbone, covering text, vision, audio, omni and decision tasks. The flagship LFM3-1.7B averages 49.37 across 29 benchmarks, ahead of Qwen3.5-9B on Liquid's own evaluation…

    LINKS marktechpost.com/…/liquid-ai-lfm3-open-we…

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