In the news
LFM2.5-VL-DSpark: Accelerating vision-language models on edge and beyond
Liquid AI · Published · 3 min read
In 30 seconds
- What happened
- Liquid AI released a DSpark drafter model for LFM2.5-VL-3B vision-language model, achieving 2.66x faster decoding on GPUs and 3.13x on edge devices.
- Why it matters
- Engineers deploying vision-language models on edge devices or GPUs who need faster inference without sacrificing output quality should evaluate this approach.
- Watch out
- Speculative decoding only accelerates the decode phase; vision encoding and prefill remain unchanged, limiting end-to-end gains on edge hardware per Amdahl's law.
- language model
- edge
- lfm
Who else ran this
The same event, reported by other publishers we follow.
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