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.
Been following Liquid AI for quite a while, and their unwavering commitment to on-device models has always been impressive. Seeing them launch LFM2.5 alongside AMD at CES feels like a definitive milestone, it perfectly integrates into the new wave of AI PCs.
Fitting a full modal stack (Text, Vision, Audio) into the 1B parameter range is a smart move for edge constraints. The 8x speedup in the Audio model is a significant improvement for latency, and the specific optimizations for AMD and Qualcomm NPUs show that this is built for actual hardware.
I really think 2026 is going to be the year on-device AI finally scales up.
Great project! I’m still waiting for models for regular phones that can work offline.
Impressive direction. On-device speed + efficiency is where real adoption happens, especially for privacy-sensitive and latency-critical use cases. The hybrid architecture angle is interesting — curious to see how LFM2 performs in real-world edge scenarios compared to current lightweight LLMs.
It's great to see on-device AI models. What are the minimum RAM requirements for LFM 2.5, and is it possible to run quantized versions?
Any idea how well this would run on a phone? Would love to try it without needing a full laptop setup.
About LFM2.5 on Product Hunt
“The next generation of on-device AI”
LFM2.5 launched on Product Hunt on January 6th, 2026 and earned 145 upvotes and 4 comments, placing #8 on the daily leaderboard. 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.
LFM2.5 was featured in Open Source (68.3k followers) and Artificial Intelligence (466.2k followers) on Product Hunt. Together, these topics include over 97.7k products, making this a competitive space to launch in.
Who hunted LFM2.5?
LFM2.5 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 LFM2.5 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!
Been following Liquid AI for quite a while, and their unwavering commitment to on-device models has always been impressive. Seeing them launch LFM2.5 alongside AMD at CES feels like a definitive milestone, it perfectly integrates into the new wave of AI PCs.
Fitting a full modal stack (Text, Vision, Audio) into the 1B parameter range is a smart move for edge constraints. The 8x speedup in the Audio model is a significant improvement for latency, and the specific optimizations for AMD and Qualcomm NPUs show that this is built for actual hardware.
I really think 2026 is going to be the year on-device AI finally scales up.