Liquid AI

Liquid AI releases LFM2.5-Encoders for fast long-context CPU inference

Liquid AI published a Hugging Face blog post introducing LFM2.5-Encoders, a new family of encoder models designed for fast long-context inference on CPU hardware. The release targets deployment scenarios where GPU resources are unavailable or cost-prohibitive, positioning these models as efficient alternatives for embedding and encoding workloads. This is notable as a continuation of Liquid AI's LFM (Liquid Foundation Model) architecture line, extending it to encoder-specific use cases.