LFM2-Audio
Real-time audio conversations on-device
LFM2-Audio launched on October 3, 2025 with 125 votes, #250 of 8,178 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
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-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. With LFM2-Audio, we’re taking another step toward multimodal agents that run privately and in real time on your own devices.
Today, we release LFM2-Audio-1.5B, an end-to-end foundation model for audio and text generation. Designed for low latency, it enables responsive, high-quality conversations with only 1.5 billion parameters. This model extends the LFM2 family into the audio-text space. LFM2-Audio can seamlessly switch between audio and text inputs and outputs. This offers a dynamic, practical backbone for diverse applications such as real-time chatbots, automatic speech recognition (ASR), or text-to-speech (TTS), all in a single multimodal foundation model. Our lightweight architecture enables seamless deployment across device environments and efficient inference. LFM2-Audio-1.5B extends the LFM2-1.2B…from liquid.ai
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