LFM2.5‑Encoders Deliver 8K‑Token CPU Speed‑ups While Matching Bigger Models
Liquid AI’s LFM2.5‑Encoders run 3.7× faster than ModernBERT‑base on CPU for up to 8,192‑token inputs and still hit GLUE/SuperGLUE scores comparable to much larger models. The bidirectional‑converted LFM2 backbones offer a practical drop‑in for on‑device classification, intent routing, and safety filtering.