NeoMME: From-Scratch Multimodal Encoders at 260M/800M With No Vision Tower
CShorten30 · x · 2026-09-03
Tony Wu and Aurelien Lucet released NeoMME, encoders trained from scratch — natively multimodal, multilingual, and built for speed, at 260M and 800M sizes with no vision tower — plus NeoMME-Retriever, a fine-tuned visual document retriever built on top. An interactive demo is available; LFM2.5-VL-450M serves as the VLM component.
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