Liquid AI introduced LFM2.5-VL-DSpark — accelerating vision-language models

Liquid AI rolled out LFM2.5-VL-DSpark — a compact VLM tuned for inference speed

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Liquid AI introduced LFM2.5-VL-DSpark — a compact vision-language model where the priority is not size, but latency. The tasks are "image + text."

What this gives in practice:

— the model's focus is accelerating vision-language models, not growing parameters;

— it runs locally;

— it is designed for multimodal pipelines where latency matters, not gigantic model size.

The release is open, with weights posted on HuggingFace.

In the blog, the announcement comes with an image, and the release is under the headline "Accelerating vision-language models with LFM2.5-VL-DSpark"