On-Device & Local InferenceLiquid AI
Liquid AI releases LFM2
LFM2 released — 350M, 700M and 1.2B dense checkpoints, announced with a hybrid backbone that mixes gated short convolutions with a small number of GQA blocks. License based on Apache 2.0 (commercial use allowed under $10 million in annual revenue). Claims 2× the CPU decode and prefill speed of Qwen3, measured with ExecuTorch and llama.cpp on a Galaxy S24 Ultra and an AMD Ryzen HX370
Why it matters
A commercial model family that treats on-device as a design goal rather than a by-product of post-hoc quantization, searching architectures with hardware in the loop. The figures are the vendor's own measurements, not independently checked
Source — Primary sources first; secondary reports are labelled “Press”
Officialliquid.aihttps://www.liquid.ai/blog/liquid-foundation-models-v2-our-second-series-of-generative-ai-modelsAdded in Week 36, 2026 · See that week