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vokra/canary-1b-v2
canary-1b-v2 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
11
17% of all-time downloads
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.gguf5 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 |
|---|---|---|
canary.gguf | 2387.1 MB | 26d401ec2d435376aa90a01a9856fa8ea8fd2e62c7b721fe338a77ac1a24111c |
# Download (any HTTP client works — the file is a plain GGUF)
curl -L -o canary.gguf \
https://huggingface.co/vokra/canary-1b-v2/resolve/main/canary.gguf
vokra-cli run --model canary.gguf --input input.wav
| Field | Value |
|---|---|
| Architecture | canary |
| Tensors | 688 |
| Upstream source | https://huggingface.co/nvidia/canary-1b-v2 |
| Upstream licence | CC-BY-4.0 |
| Licence class | attribution-required |
| Registry model id | nvidia/canary-1b-v2 |
| 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 Canary-1B-v2 (multilingual multi-task ASR / AST — 25 European languages; FastConformer encoder + Transformer decoder AED). Model weights are licensed under CC-BY 4.0 (attribution required; commercial use permitted). Copyright (c) NVIDIA. Source: https://huggingface.co/nvidia/canary-1b-v2
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 canary.gguf
# expect: 26d401ec2d435376aa90a01a9856fa8ea8fd2e62c7b721fe338a77ac1a24111c