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vokra/
kyutai-stt-2.6b-en

Name: kyutai-stt-2.6b-en
Availability: InStock

vokra

gguf

cc-by-4.0

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kyutai-stt-2.6b-en (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
`model.gguf`	4991.8 MB	`d25302da6650309c094d0cbf10cfecfb507c31408b820304bda0c3195482f990`

Usage

bash

# Download (any HTTP client works — the file is a plain GGUF)
curl -L -o model.gguf \
  https://huggingface.co/vokra/kyutai-stt-2.6b-en/resolve/main/model.gguf

vokra-cli run --model model.gguf --input input.wav

Provenance

Field	Value
Architecture	`kyutai-stt`
Tensors	323
Upstream source	https://huggingface.co/kyutai/stt-2.6b-en
Upstream licence	`CC-BY-4.0`
Licence class	`attribution-required`
Registry model id	`kyutai/stt-2.6b-en`
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 the Kyutai STT-2.6B-EN model (decoder-only English streaming ASR over Mimi audio tokens). Model weights are licensed under CC-BY 4.0 (attribution required; commercial use permitted). Copyright (c) Kyutai. Source: https://github.com/kyutai-labs/delayed-streams-modeling / https://huggingface.co/kyutai/stt-2.6b-en

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

bash

shasum -a 256 model.gguf
# expect: d25302da6650309c094d0cbf10cfecfb507c31408b820304bda0c3195482f990