LFM
5 updates on LFM.
Liquid AI releases LFM2.5-24B-A2B, a 2B-active MoE for local agents
Liquid AI reports 184 tok/s on an Apple M5 Max for its 24B-parameter mixture-of-experts model, which activates 2.45B parameters per token.
Liquid AI releases a DSpark drafter that speeds up LFM2.5-VL-3B decoding
Liquid AI’s 280M-parameter draft model speeds up decoding of its 3B vision-language model by up to 3.13x on Apple Silicon, for 8.9% more parameters.
Online-SDFT reports 70.28% routing accuracy and updates a LoRA adapter on the phone
I-Ju Lin and Zhang-Wei Hong measure 70.28% accuracy against 52.78% for the best baseline, and run the LoRA update itself on an Android phone.
Liquid AI releases LFM2.5-2.6B for on-device agents
Liquid AI reports 30 tokens per second on a phone and under 2.5 GB of memory for its 2.6-billion-parameter model, released with open weights.
Liquid AI releases LFM2, three CPU-first models from 350M to 1.2B
Liquid AI released open-weight models of 350M, 700M and 1.2B parameters and reports 2x faster decode and prefill than Qwen3 on CPU.