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.
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!
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?
About LFM2-Audio on Product Hunt
“Real-time audio conversations on-device”
LFM2-Audio launched on Product Hunt on October 3rd, 2025 and earned 131 upvotes and 4 comments, placing #12 on the daily leaderboard. 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 was featured in Privacy (11k followers), Artificial Intelligence (466.3k followers) and Audio (2k followers) on Product Hunt. Together, these topics include over 96.1k products, making this a competitive space to launch in.
Who hunted LFM2-Audio?
LFM2-Audio was hunted by Zac Zuo. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how LFM2-Audio stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Zac Zuo
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!