Getting a small local language model running on a notebook or even smartphone in 2026 is trivial. But what about something even smaller and lower-power. Say, like an ESP32 microcontroller that costs less than $10? It might sound impossible — the device is primarily designed for things like remote sensors, IoT, and other embedded applications, not running generative AI models — yet, that's exactly what a developer who goes by the handle SlvDev has managed to do. In a process detailed on GitHub, and recently showcased on the Better Stack YouTube channel, SlvDev documented how he managed to get a small language model running at nearly 10 tokens a second locally on a microcontroller that costs about the same as a fancy cup of coffee. Tiny...
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