I'm quite impressed by the results of the web demo, especially given its size and the precision with which it uses the three available tools (tested with German commands). I could imagine that this LLM would fit well into a setup with multiple micro-sized LLMs for different purposes; so 14 MB for precise tool invocation is a reasonable memory footprint when a number of other local models are running (e.g. STT, TTS + language models).