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Vision-Language Models

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Friday, 25 September 2026

Liquid AI Releases LFM2.5-VL-3B-DSpark: Speculative Decoding for Vision-Language Models With Up to 3.13x Faster Decoding

MarkTechPost 2 weeks ago 41 ● 2 sources

Liquid AI released LFM2.5-VL-3B-DSpark, an experimental speculative-decoding draft model for its LFM2.5-VL-3B vision-language model. The drafter is about 280M parameters and Liquid AI reports up to 3.13x faster decoding on Apple silicon. Output stays identical under greedy decoding, and the model is deployable via Hugging Face weights plus support in SGLang, MLX-VLM, and llama.cpp.

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Hugging Face Vision-Language Models

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