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Liquid AI has released the draft model LFM2.5-VL-DSpark (280M parameters) for speculative decoding with the LFM2.5-VL-3B model. According to the company, it speeds up decoding by up to 3.13× on-device and up to 2.66× on the H100, with day-one support in llama.cpp, MLX-VLM and SGLang.
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