parakeet-tdt-0.6b-v3
parakeet-tdt-0.6b-v3 is a 600-million-parameter multilingual automatic speech recognition (ASR) model designed for high-throughput speech-to-text transcription. It extends the parakeet-tdt-0.6b-v2 model by expanding language support from English to 25 European languages. The model automatically detects the language of the audio and transcribes it without requiring additional prompting. It is part of a series of model...
Params
630 M
Context
—
Downloads 30d
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Likes
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Download history
daily snapshots · 92 days
▲ 63 K in the last 30 days (10.5%)
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Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| parakeet-tdt-0.6b-v3.q8_0.gguf | Q8_0 | 0.7 GB | 1.4 GB | ✅ Runs comfortably |
| model.safetensors | f32 | 2.5 GB | 3.4 GB | ✅ Runs comfortably |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Architecture
- ParakeetForTDT
- Parameters
- 630 M
- Tensor type
- F32
- Vocabulary
- 8,193
- Licence
- cc-by-4.0
- First seen on the Hub
- 2025-08-04
- Training datasets
- nvidia/Granary, nemo/asr-set-3.0
- FLEURS (reported)
- 6.79
- CoVoST2 (reported)
- 5.1
- GigaSpeech (reported)
- 9.59
- Vox Populi (reported)
- 6.14
- tedlium-v3 (reported)
- 2.75
- Earnings-22 (reported)
- 11.42
- SPGI Speech (reported)
- 3.97
- AMI (Meetings test) (reported)
- 11.31
- LibriSpeech (clean) (reported)
- 3.59
- Multilingual LibriSpeech (reported)
- 7.5
- Added to our catalog
- 2026-08-11
Family
Base model and the most-downloaded derivatives in the catalog.
Compare with any automatic-speech-recognition model