Liquid AI releases LFM2.5-Encoder-230M and LFM2.5-Encoder-350M

Both open-weight, bidirectional masked language models build on the LFM2 hybrid backbone with an 8,192-token context. Liquid AI says the encoders are built for classifiers, intent routers, safety filters, and PII detection, and stay fast at 8K context on CPU.