Liquid AI's 230M-Parameter LFM2.5 Beats Models Four Times Its Size at Data Extraction and Runs on a Raspberry Pi
The MIT spinout's smallest model yet pairs convolution and attention blocks to outscore billion-parameter rivals on data extraction while decoding at 42 tokens per second on a Raspberry Pi 5.