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canary-1b-flash
vokra/canary-1b-flash
canary-1b-flash 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.
All-time downloads
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Repo size
3.2 GB
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.gguf3.2 GB · 100%
At a glance
- Library
- vokra
- License
- cc-by-4.0
- Access
- Public
- Created
- Aug 4, 2026
- Updated
- Aug 4, 2026
- SHA
- bc252b83
Model card
From the Hugging Face model README
canary-1b-flash (Vokra GGUF)
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.
Files
| File | Size | SHA-256 |
|---|---|---|
canary-1b-flash.gguf | 3094.0 MB | 6b4212f5d8f2783061b8d61fc3d5d10b6e8e96d72f4d4bcb241fa603b381376f |
Usage
# Download (any HTTP client works — the file is a plain GGUF)
curl -L -o canary-1b-flash.gguf \
https://huggingface.co/vokra/canary-1b-flash/resolve/main/canary-1b-flash.gguf
vokra-cli run --model canary-1b-flash.gguf --input input.wav
Provenance
| Field | Value |
|---|---|
| Architecture | canary-1b-flash |
| Tensors | 1260 |
| Upstream source | nvidia/canary-1b-flash (FastConformer encoder + Transformer AED decoder, flash-tuned 4-layer decoder for 1000+ RTFx, cc-by-4.0 attribution required) |
| Upstream licence | cc-by-4.0 |
| Licence class | attribution-required |
| Registry model id | canary-1b-flash |
| 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.
Licence
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.
Attribution required
This application uses NVIDIA Canary-1B-Flash (multilingual multi-task ASR / AST — English / German / French / Spanish; FastConformer encoder + Transformer AED decoder — the flash-tuned variant of Canary-1B-v2 with a shrunk 4-layer decoder for 1000+ RTFx inference). Model weights are licensed under CC-BY 4.0 (attribution required; commercial use permitted). Copyright (c) NVIDIA. Source: https://huggingface.co/nvidia/canary-1b-flash
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.
Verifying this file
shasum -a 256 canary-1b-flash.gguf
# expect: 6b4212f5d8f2783061b8d61fc3d5d10b6e8e96d72f4d4bcb241fa603b381376f
- Library
- vokra
- License
- cc-by-4.0
- Created
- Aug 4, 2026
- Updated
- Aug 4, 2026