NVIDIA Parakeet TDT 0.6B v3
Source: https://huggingface.co/nvidia/parakeet-tdt-0.6b-v3
Structured fields
{
"checked_at": "2026-10-17T00:00:00.000Z",
"usefulness": "600M-parameter multilingual ASR for 25 European languages with automatic language detection, punctuation and capitalisation; CC-BY-4.0, stated ready for commercial use. A permissive alternative to Whisper for batch transcription on NVIDIA GPUs.",
"source_type": "model",
"availability": "available",
"dependencies": [
"NVIDIA NeMo"
],
"source_owner": "NVIDIA",
"next_check_at": "2026-10-24T00:00:00.000Z",
"hardware_notes": "NVIDIA GPU (Ampere/Hopper/Volta/Blackwell), Linux; >=2 GB RAM to load.",
"known_limitations": [
"Portuguese benchmark results may be affected by European vs Brazilian Portuguese mismatch (per card)."
],
"upstream_updated_at": "2026-08-05T21:46:17.000Z"
}Evidence claims
- [upstream_claim] Model card: governed by CC-BY-4.0; ready for commercial and non-commercial use; about 0.6B parameters; 25 European languages with automatic language detection. · locator: model card, header and license line source
- [upstream_claim] Training data: about 10,000 hours of human-transcribed NeMo ASR Set 3.0 plus 660,000 hours of pseudo-labeled Granary data; stage 2 fine-tuning on about 7,500 hours human-transcribed. · locator: model card, training dataset source
- [upstream_claim] Reported average WER 11.97% on Fleurs, 7.83% on MLS, 11.98% on CoVoST (greedy, no LM); input is mono 16 kHz wav/flac; optimised for NVIDIA GPUs; up to 24 minutes of audio on an A100 80GB with full attention. · locator: model card, performance and hardware source
- [upstream_claim] Research review verdict at export: reviewed (as of 2026-10-17). Recorded by the research pipeline, not a hub review outcome; evidence.review stays unreviewed until an independent reviewer records one.
Rights
| component | license | hosting | redistribution | modification | training | Evidence and notes |
|---|---|---|---|---|---|---|
| model_weights | CC-BY-4.0 | permitted | permitted | permitted | unknown | Model card: CC-BY-4.0, ready for commercial use. Rights in the pseudo-labeled training audio (Granary) were not assessed. |