I recently installed Debian on an older Chromebook and would like to set up a local AI assistant. I'm looking for something lightweight that can handle simple tasks, work with speech recognition, interact with the Spotify API, and possibly display different images or animations while listening, thinking, and responding. What software or model combinations would be realistic for limited Chromebook hardware?
3 Answers
For very limited hardware, look at small quantized models running with Ollama or llama.cpp. Some tools can offload more work to system RAM, but the tradeoff is much slower responses. In practice, decent local performance often needs several gigabytes of RAM and, for larger models, substantial GPU memory. If the Chromebook has only a small amount of RAM or an older low-power CPU, keep your expectations modest and choose the smallest model that can follow basic instructions.
Start by checking the hardware before choosing anything. Run `lscpu` and `free -h` to see the CPU, RAM, and available memory. On an old Chromebook, those limits will matter more than whether you’re using Debian. A model that sounds impressive on a modern desktop may be unusably slow on older hardware.
You’ll probably get better results by building this as several small parts instead of searching for one program that does everything. A lightweight model can run through llama.cpp or Ollama, whisper.cpp can handle speech-to-text, and your assistant can call Spotify through its API. The visual reactions can be handled by a separate interface that switches between states such as listening, thinking, using a tool, and answering. Start with a tiny model responding in the terminal, then add voice, one Spotify command, and the visual interface one step at a time.
That staged approach is probably the most realistic way to do it. Trying to build a full voice assistant with music controls and animations all at once will make troubleshooting much harder.