Bundled wake-word models

hey_hermes.tflite — the on-device "Hey Hermes" hotword model. This is the default detector for the wake word feature (see website/docs/user-guide/features/wake-word.md); no training or setup is required to say "hey hermes".

Engine: pyopen-wakeword (rhasspy's maintained fork of openWakeWord; Apache-2.0). Runs TFLite via a bundled tensorflowlite_c library — no onnx, no runtime download.
Provenance: trained with the openWakeWord training pipeline (synthetic TTS-generated speech), which produces the .tflite artifact. Redistribution is permitted under the openWakeWord license.
Label: the model registers as hey_hermes (matches the filename).
Runtime: the pyopen-wakeword wheel includes the shared melspectrogram and embedding models. Starting this engine requires no model download. Identical model files alone do not establish identical scores across inference engines or platforms.

To use a different phrase, point wake_word.openwakeword.model at an absolute path to a compatible .tflite model. Hermes does not download models by name, and this engine does not load .onnx files. See the wake-word docs for the training guide and platform limits.