Qwen3 Tts Tokenizer 12hz GGUF

Qwen3-TTS Tokenizer 12Hz — GGUF (CrispASR)

GGUF / ggml conversions of Qwen/Qwen3-TTS-Tokenizer-12Hz for use with the qwen3-tts backend in CrispStrobe/CrispASR.

Qwen3-TTS-Tokenizer-12Hz is the separate speech tokenizer / codec used by the Qwen3-TTS family:

• 10 supported languages: zh en ja ko de fr ru pt es it
• 12.5 Hz, 16-codebook speech representation
• used for reference-audio encoding, voice-pack baking, and final waveform decode
• Apache-2.0 licence

This repo contains the tokenizer / codec only. Use it together with the talker GGUF from cstr/qwen3-tts-0.6b-base-GGUF.

Files

File	Size	Notes
qwen3-tts-tokenizer-12hz.gguf	342 MB	F16
qwen3-tts-tokenizer-12hz-q8_0.gguf	277 MB	Q8_0 codec quant

Quick Start

./build/bin/crispasr \
    --backend qwen3-tts \
    -m qwen3-tts-12hz-0.6b-base.gguf \
    --codec-model qwen3-tts-tokenizer-12hz.gguf \
    --voice clone.wav \
    --ref-text "Exact transcript of clone.wav" \
    --tts "Hello there" \
    --tts-output hello.wav

The tokenizer GGUF is used for:

• encoding reference audio into ref_code
• baking / loading voice-pack GGUFs
• decoding generated codes back into 24 kHz mono WAV

Quantisation Notes

Current CrispASR validation status:

• qwen3-tts-tokenizer-12hz.gguf
  • reference baseline
• qwen3-tts-tokenizer-12hz-q8_0.gguf
  • usable, but numerically less faithful than the F16 codec in strict diff tests

For best fidelity, keep the tokenizer / codec at F16 even when quantising the talker. In current CrispASR testing, codec quantisation drifts earlier in the codec-encoder path than talker-only quantisation.

This repo may also publish lower-bit talker variants in the companion talker repo. If you use them, the safest pairing is still:

• quantised talker
• qwen3-tts-tokenizer-12hz.gguf kept at F16

In other words: if you must choose where to keep precision, keep it in the tokenizer / codec first.

How this was made

1. The upstream tokenizer / codec checkpoint was converted to GGUF F16 by models/convert-qwen3-tts-tokenizer-to-gguf.py.
2. Quantised variants are produced with CrispASR's GGUF quantiser.
3. Encode / decode inference is implemented in src/qwen3_tts.cpp, sharing the same runtime as the qwen3-tts talker backend.

Reference implementation

Architecture and behaviour were checked against the official Qwen release:

• upstream tokenizer model card: Qwen/Qwen3-TTS-Tokenizer-12Hz
• upstream repository: QwenLM/Qwen3-TTS
• technical report: Qwen3-TTS Technical Report

Related

• Companion talker GGUF: cstr/qwen3-tts-0.6b-base-GGUF
• Upstream tokenizer: Qwen/Qwen3-TTS-Tokenizer-12Hz
• C++ runtime: CrispStrobe/CrispASR

License

Apache-2.0, inherited from the base model.

Provenance and EU AI Act Art. 53 note

• Upstream model: Qwen/Qwen3-TTS-Tokenizer-12Hz — published by Qwen.
• Upstream licence: apache-2.0. This repository redistributes under the same terms; it grants no rights the upstream licence does not.
• What was done here: format conversion and/or quantisation only (GGUF/GGML). No training, no fine-tuning, no merging, no distillation, no change to architecture, vocabulary or capability. Only the numeric representation of the upstream weights differs.
• Training data: documented — where it is documented at all — by the upstream provider; see the upstream model card. No training data was used, added or selected by this repository. No training-content summary was found on the upstream model card at the time of writing; that documentation gap is upstream's and is not filled here.
• Provider status: under Regulation (EU) 2024/1689 the upstream authors remain the provider of this model. Converting the serialisation format does not make this repository the provider of a new general-purpose AI model, and no such claim is made. Questions about training content, copyright policy or model capability belong upstream.