Liquid AI releases LFM2.5-VL-DSpark drafter for faster vision-language inference
Liquid AI released an experimental DSpark draft model for its LFM2.5-VL-3B vision-language model, adding speculative decoding that speeds inference up to 3.13x on device and 2.66x on an H100 without changing output quality. The 280M-parameter drafter adds 8.9% to the target model and ships with day-one support for llama.cpp, MLX-VLM, and SGLang.
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