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Konic Labs
@koniclabs
compact, task-specific LLMs for production AI — measurable behavior, controlled inference
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Making the LFM-2.5 encoder multimodal. @liquidai's LFM2.5 Encoder 230M + SigLIP2 = a compact multimodal encoder. - 12.5k held-out MONET pairs: i→t R@1 0.1194 (BF16) - GPTQ INT4 keeps ~91% — 370 MB, −59.9% vs original Go read it.
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