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vokra/parakeet-tdt-0.6b-v3
parakeet-tdt-0.6b-v3 is a machine learning model from vokra. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for vokra. The card lists the license as cc-by-4.0.
Converted to the Vokra GGUF format for Vokra, a zero-dependency speech-AI inference runtime.
Downloads · 30 days
10
23% of all-time downloads
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.gguf2.5 GB · 100%
From the Hugging Face model README
Converted to the Vokra GGUF format for Vokra, a zero-dependency speech-AI inference runtime.
This is a conversion, not a new model. The weights are the upstream ones; Vokra re-packages them so its runtime can memory-map them directly. Credit for the model belongs upstream — see Source below.
| File | Size | SHA-256 |
|---|---|---|
model.gguf | 2392.1 MB | df5e044b040fa27447de23912694b462c6e97b8d5510c24e8c1ed6090dcc0a18 |
# Download (any HTTP client works — the file is a plain GGUF)
curl -L -o model.gguf \
https://huggingface.co/vokra/parakeet-tdt-0.6b-v3/resolve/main/model.gguf
vokra-cli run --model model.gguf --input input.wav
| Field | Value |
|---|---|
| Architecture | parakeet-tdt |
| Tensors | 699 |
| Upstream source | https://huggingface.co/nvidia/parakeet-tdt-0.6b-v3 |
| Upstream licence | CC-BY-4.0 |
| Licence class | attribution-required |
| Registry model id | nvidia/parakeet-tdt-0.6b-v3 |
| Vokra GGUF schema | 1 |
| Converted by | vokra-core 0.1.0-alpha.0 |
Every row above is read out of this file's own vokra.* metadata, so the card cannot claim something the artifact does not carry.
The weights are distributed under CC-BY-4.0, unchanged from upstream. Conversion does not alter the licence, and your obligations run to the upstream author.
This application uses NVIDIA Parakeet-TDT-0.6B-v3 (English streaming ASR — FastConformer encoder + TDT decoder). Model weights are licensed under CC-BY 4.0 (attribution required; commercial use permitted). Copyright (c) NVIDIA. Source: https://huggingface.co/nvidia/parakeet-tdt-0.6b-v3
This licence obliges you to display the attribution above when you ship something built on these weights. Vokra surfaces it at runtime via vokra_model_attribution (C ABI) and a CLI banner.
shasum -a 256 model.gguf
# expect: df5e044b040fa27447de23912694b462c6e97b8d5510c24e8c1ed6090dcc0a18