Liquid AI launches compact LFM2.5 encoders for edge use
Liquid AI has released two open-weight LFM2.5 encoder models for classification, retrieval and token-level language tasks. The compact 230-million and 350-million parameter models target local, on-premises and high-volume deployments, with an 8,192-token context window and public evaluation code.