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vokra/
qwen3-tts-12hz-0.6b-base

Name: qwen3-tts-12hz-0.6b-base
Availability: InStock

vokra

gguf

apache-2.0

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qwen3-tts-12hz-0.6b-base (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
`qwen3-tts-12hz-0.6b-base.gguf`	1744.6 MB	`1df5e1d1d490784db01e83a0ce817a4377880bc6b09fc133ad28ae820c23845b`

Usage

bash

# Download (any HTTP client works — the file is a plain GGUF)
curl -L -o qwen3-tts-12hz-0.6b-base.gguf \
  https://huggingface.co/vokra/qwen3-tts-12hz-0.6b-base/resolve/main/qwen3-tts-12hz-0.6b-base.gguf

vokra-cli run --model qwen3-tts-12hz-0.6b-base.gguf --input input.wav

Provenance

Field	Value
Architecture	`qwen3_tts`
Tensors	478
Upstream source	Qwen/Qwen3-TTS-12Hz-0.6B-Base (apache-2.0 end-to-end)
Upstream licence	`apache-2.0`
Licence class	`permissive`
Registry model id	`qwen3-tts-12hz-0.6b-base`
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 apache-2.0, unchanged from upstream. Conversion does not alter the licence, and your obligations run to the upstream author.

Verifying this file

bash

shasum -a 256 qwen3-tts-12hz-0.6b-base.gguf
# expect: 1df5e1d1d490784db01e83a0ce817a4377880bc6b09fc133ad28ae820c23845b