Liquid Nanos

What it does

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.

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  LFM2.5Jan 2026 · liquid.ai · ▲134

  The next generation of on-device AI

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  LFM22025 · liquid.ai · ▲18

  New generation of hybrid models for on-device edge AI

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  Nano Banana 2Feb 2026 · blog.google · ▲423

  Google's latest AI image generation model

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  Liquid Math2022 · ▲78

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  NVIDIA Jetson Nano2019 · ▲164

  Bringing the power of modern AI to millions of devices

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  I trained a 125M model to autocomplete piano on-device▲598

  I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.

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  Term.everything – Run any GUI app in the terminal▲1,094

  I made a built-from scratch Wayland Compositor to display any GUI app* in the terminal! I think there is a lot of unexplored potential in custom Wayland compositors, a lot of really cool things you can embed existing applications into! So, I started with embedding apps into the terminal because that is the easiest input/output (output is just utf-8 and I use the great `chafa` library for that, and I just read from stdin for the input). If you have any other ideas for cool Wayland compositors, let me know. I purposedly wrote 80% the app in Typescript to appeal to the most developers and…

  Dev tools · 2025 · github.com

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  I recreated Windows XP as my portfolio▲1,032

  Years ago I stumbled across a basic version of this concept and it stuck with me. I knew if I was ever going to take on such a project, it would need to be flawless, but without coding experience it was just another idea that would never happen. By the end of 2024, as AI coding tools exploded everywhere, I finally had a way to make it real. I started from zero knowledge and spent months collaborating with AI agents as a learning experience. Every pixel and every function went through me. The AI translated what I asked for into code, but every decision was human. I didn't use existing OS…

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