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vokra/hibiki-2b
hibiki-2b 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
32% of all-time downloads
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.gguf5.6 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 |
|---|---|---|
hibiki-2b.gguf | 5316.5 MB | 62e70efbb54a612f51e3d7d35c9d901806331b642474d6e0857a73252aaf8934 |
# Download (any HTTP client works — the file is a plain GGUF)
curl -L -o hibiki-2b.gguf \
https://huggingface.co/vokra/hibiki-2b/resolve/main/hibiki-2b.gguf
vokra-cli run --model hibiki-2b.gguf --input input.wav
| Field | Value |
|---|---|
| Architecture | hibiki |
| Tensors | 327 |
| Upstream source | kyutai/hibiki-2b-pytorch-bf16 (simultaneous FR↔EN S2S translation, cc-by-4.0) |
| Upstream licence | cc-by-4.0 |
| Licence class | attribution-required |
| Registry model id | hibiki-2b |
| 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 the Kyutai Hibiki-2B model (simultaneous speech-to-speech translation, Helium + Mimi codec). Model weights are licensed under CC-BY 4.0 (attribution required; commercial use permitted). Copyright (c) Kyutai. Source: https://huggingface.co/kyutai/hibiki-2b-pytorch-bf16
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 hibiki-2b.gguf
# expect: 62e70efbb54a612f51e3d7d35c9d901806331b642474d6e0857a73252aaf8934