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parakeet-tdt-0.6b-v3, for CPU inference with
parakeet.cpp.scripts/convert_parakeet_to_gguf.py.
No weights were retrained or altered — this is a format conversion only.| file | quant | size |
|---|---|---|
ptbr-plus-q8_0.gguf | q8_0 | ~898 MB |
parakeet-tdt-0.6b-v3 is multilingual on paper, but it takes no
language prompt — you cannot tell it what language it is hearing. It
auto-detects, and its detection is unreliable: on Portuguese audio it frequently
emits fluent, confident English. This is a known, unresolved upstream issue
(NVIDIA-NeMo/Speech#14799).tdt-v3, full 90s → "Marco 1. Eu começo a falar imediatamente, sem nenhuma pausa…" ✅ pt
tdt-v3, 25s slice → "Marco 2, esta is my voice and volume normal…" ❌ en"dois mil e vinte e seis" and "2026" compare equal):| model | WER | pt-BR reliability | speed (CPU) | punctuation |
|---|---|---|---|---|
| this model | 12.7% | deterministic — cannot drift | ~9× realtime | yes |
tdt-0.6b-v3 | 13.3% | lottery — English on a short span | ~9× realtime | yes |
nemotron-3.5-asr-streaming-0.6b (forced pt) | 20.7% | deterministic | ~8× realtime | partial |
whisper small | 29.3% | deterministic | much slower on CPU | yes |
parakeet-cli --model ptbr-plus-q8_0.gguf --decoder tdt audio.wav--lang needed (and none is honoured — TDT models take no prompt).nvidia/parakeet-tdt-0.6b-v3 CC-BY-4.0
└─ alexandreacff/parakeet-tdt-0.6b-v3-ptBR-plus (fine-tune, pt-BR + podcasts,
│ punctuated + synthetic)
└─ this repo (GGUF format conversion only)nvidia/parakeet-tdt-0.6b-v3 — CC-BY-4.0.alexandreacff/parakeet-tdt-0.6b-v3-ptBR-plus — all credit for the pt-BR adaptation goes to @alexandreacff.