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LFM2.5-VL-DSpark: Accelerating vision-language models on edge and beyond
Liquid AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- 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.
- 为何重要
- Engineers deploying vision-language models on edge devices or GPUs who need faster inference without sacrificing output quality should evaluate this approach.
- 注意
- 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
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