Liquid AI releases NeoMME: from-scratch native text-image encoders at 260M and 800M

antoine_chaffin · x · 2026-09-04

Liquid AI's new hire Aurélien Luciani unveiled NeoMME, representation encoders trained from scratch instead of starting from a massive generative VLM — natively text+image, multilingual, built for speed. Two sizes (260M/800M, no vision tower), plus a fine-tuned visual document retriever, NeoMME-Retriever.

Related event: NeoMME: single-tower multimodal multilingual encoders launched, 260M tops ViDoRe v3 under 800M(7 posts)→

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