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LFM2.5 model family is Liquid AI's most capable release yet for edge AI deployment. It builds on the LFM2 device-optimized architecture and represents a significant leap forward in building reliable agents on the edge.
LFM2.5The next generation of on-device AI
LFM2-Audio defines a new class of audio foundation models: lightweight, multimodal, and real-time. By unifying audio understanding and generation in one compact system, it enables conversational AI on devices where speed, privacy, and efficiency matter most.
LFM2-AudioReal-time audio conversations on-device
Liquid Nanos are a family of small, specialized foundation models from Liquid AI. They are designed to run on-device for tasks like data extraction, RAG, and tool use, delivering frontier-grade performance without the cloud.
Liquid NanosFrontier‑grade performance on everyday devices
LFM2-VL is a new series of open-weight vision-language models from Liquid AI. Designed for on-device deployment, they offer up to 2x faster inference on GPU and come in 450M and 1.6B parameter sizes.
LFM2-VLOn-device vision, now 2x faster
LFM2 by Liquid AI is a new class of open foundation models designed for on-device speed and efficiency. Its hybrid architecture delivers 2x faster CPU performance than Qwen3 and SOTA results in a tiny footprint.
LFM2New generation of hybrid models for on-device edge AI