NVIDIA's Parakeet TDT 0.6B v3, converted to GGUF for
transcribe.cpp. Offline speech-to-text across 25 European languages, using a 0.6B Conformer encoder with a TDT/RNNT transducer decoder. It takes 16 kHz mono audio and returns a transcript with optional token-level timestamps.
This is the Q8_0 build and the most accurate transcription model in the Solus catalogue, at 1.94% word error rate on LibriSpeech test-clean. Note that it does not stream and does not translate.
Quantization performed at the Faculty of Engineering, McMaster University.
The GGUF conversion this build is derived from was produced by
handy-computer, and the
weights here are a byte-for-byte copy of that file — the SHA-256 above matches
the upstream artifact.
Expects 16 kHz mono audio.
Licensed CC-BY-4.0. Attribution to NVIDIA is required when redistributing this model or its derivatives.