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README.md

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+---
+license: apache-2.0
+base_model: Qwen/Qwen3-TTS-12Hz-1.7B-Base
+language:
+  - zh
+tags:
+  - text-to-speech
+  - tts
+  - qwen3-tts
+  - live-streaming
+  - voice-clone
+---
+
+# Qwen3-TTS-TBLive-Base
+
+A Chinese live-streaming domain TTS checkpoint fine-tuned from
+`Qwen3-TTS-12Hz-1.7B-Base` via continual pre-training (CPT) and GRPO
+post-training on live-streaming speech data.
+
+**Recommended starting point for downstream fine-tuning.** If you need
+production-ready built-in live-streaming voices, use the sibling checkpoint
+[TaoLiveAIGC/Qwen3-TTS-TBLive-CustomVoice](https://huggingface.co/TaoLiveAIGC/Qwen3-TTS-TBLive-CustomVoice).
+
+## Benchmark
+
+Zero-shot voice-cloning results on the public
+[seed-tts-eval](https://github.com/BytedanceSpeech/seed-tts-eval) test sets,
+compared against open-source baselines. `/` marks numbers not reported.
+
+| Model | test-en SIM-o ↑ | test-en WER ↓ | test-en UTMOS ↑ | test-zh SIM-o ↑ | test-zh WER ↓ | test-zh UTMOS ↑ |
+|---|---|---|---|---|---|---|
+| Ground-truth | 0.734 | 2.14 | 3.52 | 0.755 | 1.25 | 2.78 |
+| IndexTTS2 | 0.706 | 2.33 | 3.65 | 0.764 | 1.05 | 3.00 |
+| CosyVoice3 | 0.696 | 2.17 | 3.96 | 0.778 | 1.14 | 3.32 |
+| VoxCPM | 0.731 | 1.92 | 3.77 | 0.772 | 0.99 | 2.94 |
+| MossTTS Local | 0.732 | 1.93 | / | 0.796 | 1.44 | / |
+| Qwen3-TTS | 0.708 | 1.54 | 4.16 | 0.766 | 1.15 | 3.46 |
+| **Qwen3-TTS-TBLive-Base** | **0.732** | **1.63** | **4.11** | **0.782** | **1.28** | **3.38** |
+
+## Quickstart
+
+```bash
+pip install -U qwen-tts
+```
+
+```python
+import torch
+from qwen_tts import Qwen3TTSModel
+
+model = Qwen3TTSModel.from_pretrained(
+    "TaoLiveAIGC/Qwen3-TTS-TBLive-Base",
+    device_map="cuda:0",
+    dtype=torch.bfloat16,
+)
+
+# Zero-shot voice cloning with a short reference audio
+wavs, sr = model.generate_voice_clone(
+    text="家人们，今天直播间的福利真的拉满了！",
+    language="Chinese",
+    ref_audio="path/to/reference.wav",
+    ref_text="参考音频对应的文本",
+)
+```
+
+For training pipelines (SFT / GRPO), inference post-selection, and advanced
+usage, see the companion training repository. For upstream features (vLLM
+serving, DashScope API, deployment), refer to the
+[upstream Qwen3-TTS repository](https://github.com/QwenLM/Qwen3-TTS#readme).
+
+## Checkpoint contents
+
+```
+├── model.safetensors            # main checkpoint (~3.6 GB)
+├── config.json / configuration.json / generation_config.json
+├── preprocessor_config.json
+├── tokenizer_config.json / vocab.json / merges.txt
+└── speech_tokenizer/            # 12 Hz speech tokenizer (~651 MB, same as upstream)
+```
+
+## License
+
+Released under the [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0),
+consistent with upstream Qwen3-TTS.
+
+## Acknowledgements
+
+Our sincere thanks to the Qwen team for open-sourcing
+[Qwen3-TTS](https://github.com/QwenLM/Qwen3-TTS) — the base model, tokenizer,
+and reference training / inference code that make this work possible.