Model Details
Full Model IDServeurperso/Qwen3-TTS-GGUF
Pipeline / Tasktext-to-speech
Librarygguf
Downloads (all-time)530.3K
Likes61
Last Modified9/9/2026
Author / OrgServeurperso
PrivateNo — public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("text-to-speech", model="Serveurperso/Qwen3-TTS-GGUF")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
ggufttstext-to-speechvoice-cloningvoice-designmandarin-dialectsggmlqwenqwen3qwen3-ttscppzhenfrdeesitptjakoruarbase_model:Qwen/Qwen3-TTS-12Hz-0.6B-Basebase_model:quantized:Qwen/Qwen3-TTS-12Hz-0.6B-Baselicense:apache-2.0region:us
More text-to-speech Models
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Access model files, inference API, and full documentation on Hugging Face.
Open on Hugging Face →Browse Model Files ↗← Browse All Models🤖 Task: text-to-speech
This model is designed for the text-to-speech task. Explore more models for this use case.
All text-to-speech Models →📊 Popularity
⬇ Downloads530.3K
❤️ Community Likes61
🛠️ Requirements
- →Install: pip install gguf
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.