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Gwen Tts 0.6b GGUF

GGUF conversion of Gwen-TTS-0.6B (a Qwen3-TTS variant) for the CrispASR qwen3-tts backend.

KindOtherVersionRevision fec5a0aBgrade

Model source

Kind
Other
File size
508 MB–1.71 GB
Version
vRevision fec5a0a
Updated
Oct 26, 2026
Downloads
522
Source
Hugging Face

Source description

Gwen-TTS-0.6B — GGUF

GGUF conversion of Gwen-TTS-0.6B (a Qwen3-TTS variant) for the CrispASR qwen3-tts backend.

Multilingual text-to-speech with zero-shot voice cloning. Based on the Qwen3-TTS architecture: speech tokenizer + AR LM + flow-matching codec decoder.

Files

FileSizeDescription
gwen-tts-0.6b-q4_k.gguf508 MBQ4_K quantized (recommended)
gwen-tts-0.6b-q8_0.gguf940 MBQ8_0 quantized
gwen-tts-0.6b-f16.gguf1.7 GBF16 full precision

Usage

# Auto-download:
crispasr --backend qwen3-tts -m gwen-tts-0.6b-q4_k.gguf --auto-download \
    --tts "Hello, world." --tts-output out.wav

# With voice cloning:
crispasr --backend qwen3-tts -m gwen-tts-0.6b-q4_k.gguf \
    --voice reference.wav --ref-text "Reference transcript." \
    --i-have-rights \
    --tts "Text to synthesize." --tts-output cloned.wav

License

Apache 2.0.

Credits

Provenance and EU AI Act Art. 53 note

  • Upstream model: Gwen-TTS-0.6B (a Qwen3-TTS variant) — publisher not named on the card.
  • 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). 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.
  • 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.

Sources

1 source
Hugging FacePrimaryVersion fec5a0a8e31d96eb22520f907c05bccfeacf37c6
huggingface.co/cstr/gwen-tts-0.6b-GGUF/tree/fec5a0a8e31d96eb22520f907c05bccfeacf37c6

Verified Oct 26

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Model artifacts

3 artifacts

gwen-tts-0.6b-f16.gguf

gguf · 1.71 GB · SHA-256 d24bed048d32…2f5d · Hugging Face

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gwen-tts-0.6b-q4_k.gguf

gguf · 508 MB · SHA-256 6c9989ac258d…075a · Hugging Face

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gwen-tts-0.6b-q8_0.gguf

gguf · 940 MB · SHA-256 53fac479a337…fc96 · Hugging Face

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Source excerpts

3 excerpts

--- language: - en - zh - ja - ko - de - fr - es license: apache-2.0 tags: - gguf - tts - text-to-speech - qwen3-tts - crispasr pipeline_tag: text-to-speech --- # Gwen-TTS-0.6B — GGUF GGUF conversion of Gwen-TTS-0.6B (a Qwen3-TTS variant) for the [CrispASR](https://github.com/CrispStrobe/CrispASR) `qwen3-tts` backend. Multilingual text-to-speech with zero-shot voice cloning. Based on the Qwen3-TTS architecture: speech tokenizer + AR LM + flow-matching codec decoder. ## Files | File | Size | Description | |------|------|-------------| | `gwen-tts-0.6b-q4_k.gguf` | 508 MB | Q4_K quantized (recommended) | | `gwen-tts-0.6b-q8_0.gguf` | 940 MB | Q8_0 quantized | | `gwen-tts-0.6b-f16.gguf` | 1.7 GB | F16 full precision | ## Usage ```bash # Auto-download: crispasr --backend qwen3-tts -m gwen-tts-0.6b-q4_k.gguf --auto-download \ --tts "Hello, world." --tts-output out.wav # With voice cloning: crispasr --backend qwen3-tts -m gwen-tts-0.6b-q4_k.gguf \ --voice reference.wav --ref-text "Reference transcript." \ --i-have-rights \ --tts "Text to synthesize." --tts-output cloned.wav ``` ## License Apache 2.0. ## Credits - GGUF conversion & runtime: [CrispASR](https://github.com/CrispStrobe/CrispASR) ## Provenance and EU AI Act Art. 53 note - **Upstream model:** Gwen-TTS-0.6B (a Qwen3-TTS variant) — publisher not named on the card. - **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). 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. - **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.

Source context: 522 downloads · 0 likes · Pipeline text-to-speech · Repo cstr/gwen-tts-0.6b-GGUF

Source context: 324 downloads · 0 likes · Pipeline text-to-speech · Repo cstr/gwen-tts-0.6b-GGUF