# Reachy Mini goes fully local

DevFeed: [Reachy Mini goes fully local](<https://devfeed.tech/articles/reachy-mini-goes-fully-local-7342.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/local-reachy-mini-conversation>)

Author: Amir Mahla; Andres Marafioti

Published: 2026-05-27T00:00:00Z

Content type: tutorial

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [reachy](<https://devfeed.tech/topics/reachy.md>), [gemma4](<https://devfeed.tech/topics/gemma4.md>), [llama.cpp](<https://devfeed.tech/topics/llama-cpp.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [speech-to-speech](<https://devfeed.tech/topics/speech-to-speech.md>), [hugging face](<https://devfeed.tech/topics/hugging-face.md>), [WebSocket](<https://devfeed.tech/topics/websocket.md>)

Tags: [api](<https://devfeed.tech/tags/api.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [audio](<https://devfeed.tech/tags/audio.md>), [blog](<https://devfeed.tech/tags/blog.md>), [gemma](<https://devfeed.tech/tags/gemma.md>), [guide](<https://devfeed.tech/tags/guide.md>), [how-to](<https://devfeed.tech/tags/how-to.md>), [llama](<https://devfeed.tech/tags/llama.md>), [llama-cpp](<https://devfeed.tech/tags/llama-cpp.md>), [llm](<https://devfeed.tech/tags/llm.md>), [local](<https://devfeed.tech/tags/local.md>), [local-ai](<https://devfeed.tech/tags/local-ai.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [reachy](<https://devfeed.tech/tags/reachy.md>), [robotics](<https://devfeed.tech/tags/robotics.md>), [server](<https://devfeed.tech/tags/server.md>), [speech](<https://devfeed.tech/tags/speech.md>), [speech-to-speech](<https://devfeed.tech/tags/speech-to-speech.md>)

## AI overview

A tutorial for running fully local conversations with a Reachy Mini robot. It describes a cascaded VAD, speech-to-text, LLM, and text-to-speech pipeline using llama.cpp with Gemma 4, Silero VAD, Parakeet-TDT STT, and Qwen3-TTS, connected through a Realtime API-compatible WebSocket. The setup avoids cloud services, API keys, and sending data off the local machine.

## Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.