Reachy Mini goes fully local
Hugging Face shows how to run Reachy Mini’s full voice conversation stack locally.
Hugging Face published a tutorial for running Reachy Mini conversations without cloud audio processing or API keys. The setup uses its speech-to-speech library as a cascaded VAD, STT, LLM, and TTS pipeline exposed through a Realtime API-compatible WebSocket. Recommended defaults include llama.cpp with Gemma 4, Silero VAD, Parakeet-TDT, and Qwen3-TTS, while allowing swaps to vLLM, MLX, Transformers, or hosted Responses API providers.
This Hugging Face Blog post is a hands-on tutorial aimed at Reachy Mini users, explaining how to convert the robot's voice conversation pipeline to run fully on-device. Previously, when using the Reachy Mini conversation app, audio had to be sent to a server for processing; the article now demonstrates using Hugging Face's speech-to-speech project to run the entire voice stack on your own computer or within your local network, so that audio never leaves hardware under the user's control and no API key or usage-based cloud service is required.
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