Liquid AI's LFM2.5-2.6B clocks 260 tok/s on a 3090, and one practitioner named the exact job it's for.

Following the August 6 release (128K context, tool calling, open weights, ~2.5GB, 220 tok/s on an M5 Max per the company), an r/LocalLLaMA user reports 260 tok/s generation and 20K prompt processing on 3090s. A phone-class model on desktop silicon. Their use-case list is the practical part: needle-in-haystack scans ("read this massive thing and tell me if it mentions x"), throwaway summarization, Linux command recall, structural autocomplete. Explicitly not anything that matters. The 128K context ceiling is called out as the binding limit on the bulk-scan workload the speed otherwise unlocks. This is the tier of model that should be handling your PDF-to-slide jobs.