In the news
Up to 3.2x Faster Inference with LFM2.5-DSpark
Hugging Face · Published · 3 min read
In 30 seconds
- What happened
- Liquid AI released DSpark draft models for LFM2.5 family achieving up to 3.2x faster inference throughput on GPUs and 2.87x on-device without changing output quality.
- Why it matters
- Matters for engineers deploying language models who need faster inference on both data centers and edge devices like MacBook Pro with minimal latency.
- Watch out
- Speedup varies significantly by dataset and model size; MoE models show only 18% improvement on-device due to current Metal backend limitations in llama.cpp.
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