Reachy Mini goes fully local

This post details the implementation of a fully local speech-to-speech pipeline for Reachy Mini, integrating various components for VAD, STT, LLM inference, and TTS. It provides specific instructions and configurations for running llama.cpp with Gemma 4 locally, setting up the `speech-to-speech` library, and connecting it to the Reachy Mini. It also discusses alternative LLM backends like vLLM and Hugging Face Inference Endpoints, highlighting trade-offs in latency, privacy, and cost.