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Liquid AI released an experimental speculative-decoding draft model (LFM2.5-VL-DSpark) for its LFM2.5-VL-3B vision-language model

Model release Provisional 84% confidence first seen

Liquid AI released an experimental DSpark draft model, LFM2.5-VL-DSpark, designed to accelerate speculative decoding for its LFM2.5-VL-3B vision-language model while aiming to keep output quality unchanged. The coverage reports that the draft model improves decoding speed (up to 3.13x on Apple silicon) and is available via Hugging Face weights with support in tools such as SGLang, MLX-VLM, and llama.cpp.

LFM2.5-VL-3B-DSpark LFM2.5-VL-DSpark Liquid AI Hugging Face LFM2.5-VL-3B MLX-VLM MarkTechPost SGLang Speculative Decoding llama.cpp

Source coverage

Accelerating vision-language models with LFM2.5-VL-DSpark Hugging Face official Liquid AI Releases LFM2.5-VL-3B-DSpark: Speculative Decoding for Vision-Language Models With Up to 3.13x Faster Decoding MarkTechPost

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