Liquid AI, a startup founded by former MIT scientists, released LFM2.5-2.6B, an open-weight language...
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Liquid AI's release of a 2.6B-parameter model for sub-GPU devices extends the small-model efficiency trend and strengthens its position in the edge AI segment.
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Liquid AI, a startup founded by former MIT scientists, released LFM2.5-2.6B, an open-weight language model designed to run efficiently on resource-constrained devices. The model enables powerful AI agents on hardware like Raspberry Pi without cloud or GPU dependency, expanding edge AI use cases. This follows the company's June release of LFM2.5-230M, which beat models four times its size on data extraction tasks, per the AI Market Watch index, which tracks about 5,000 companies.
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