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LFM2-Audio

Real-time audio conversations on-device

Privacy
Artificial Intelligence
Audio

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.

Top comment

Hi everyone!

Liquid AI's new LFM2-Audio unifies the entire voice stack into a single model.

The traditional (and still mainstream) way to build voice apps is complex. You have to chain together STT -> LLM -> TTS. It's slow, complex, and not ideal for on-device use.

LFM2-Audio is trying to fix this by integrating that whole process into one lightweight, end-to-end model. It's a 1.5B model that handles speech-to-speech, speech-to-text, and text-to-speech all on its own.

It's built for on-device use and is under 100ms latency, incredibly fast!

Comment highlights

Congrats on launch! This looks really powerful!

Is it possible to run this on a mobile device yet? Alternatively, do you know of a way to run it in the cloud, and connect to it from a mobile device?