cstr/qwen3-tts-voices-GGUF overview
Qwen3 TTS Voice Packs — GGUF Pre extracted voice conditioning packs for the CrispASR https://github.com/CrispStrobe/CrispASR qwen3 tts backend. Each .gguf cont…
Runs locally from ~0.0 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| qwen3-tts-voice-default.gguf | GGUF | GGUF | 0.0 MB | Download |
Model Details
Model README
---
license: apache-2.0
tags:
- gguf
- tts
- voice-pack
- qwen3-tts
- crispasr
---
Qwen3-TTS Voice Packs — GGUF
Pre-extracted voice conditioning packs for the CrispASR qwen3-tts backend.
Each .gguf contains the pre-encoded speaker conditioning (speech tokens + ECAPA embedding) so the runtime skips the expensive reference-audio encode on every synthesis call.
Files
| File | Size | Description |
|------|------|-------------|
| qwen3-tts-voice-default.gguf | ~1 KB | Default voice conditioning |
Usage
crispasr --backend qwen3-tts -m auto --auto-download \
--voice qwen3-tts-voice-default.gguf \
--tts "Hello, world."
Voice packs are auto-downloaded by the registry when using --voice auto or a known voice name.
License
Apache 2.0.
Credits
Provenance and EU AI Act Art. 53 note
- Upstream model: Qwen3-TTS voice conditioning packs — derived assets, upstream not named.
- 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.
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Source: Hugging Face · Compare models