Chatterbox Multilingual Zh Cmn

--- license: mit language: - zh tags: - chatterbox - text-to-speech - tts - multilingual - single-language-tts - voice-cloning - chatterbox-v3 pipeline_tag: text-to-speech base_model: ResembleAI/chatterbox base_model_relation: finetune --- <!-- chatterbox-space-link --> > 🎙️ **Live demo:** Try this model in the [`ResembleAI/Chatterbox-Multilingual-TTS-zh-cmn`](https://huggingface.co/spaces/ResembleAI/Chatterbox-Multilingual-TTS-zh-cmn) Space. <!-- chatterbox-space-link --> # Chatterbox Multilingual: Mandarin Chinese Chatterbox Multilingual: Mandarin Chinese is a dedicated single-language finetune in the **Chatterbox Multilingual V3 Single Language Pack**. It is optimized for Chinese Mandarin, with language- and region-specific behavior for expressive text-to-speech and voice cloning. Use this model when you want tighter Mandarin Chinese quality control than the broad multilingual checkpoint. For a single model that covers all supported languages, use [`ResembleAI/chatterbox`](https://huggingface.co/ResembleAI/chatterbox). ## Demo Try the hosted demo Space: [`ResembleAI/Chatterbox-Multilingual-TTS-zh-cmn`](https://huggingface.co/spaces/ResembleAI/Chatterbox-Multilingual-TTS-zh-cmn). ## Files - `t3_zh_cmn.safetensors`: T3 state dict in safetensors format. - `s3gen_v3.pt` / `s3gen_v3.safetensors`: V3 S3Gen speech decoder checkpoint. - `grapheme_mtl_merged_expanded_v1.json`: multilingual tokenizer config. - `ve.pt`: voice encoder checkpoint used by the demo. - `conds.pt`: built-in reference voice conditioning used by the demo. ## Language - Locale: `zh-CMN` - Chatterbox language ID: `zh` ## Checkpoint Metadata - Source step: `88000` - Source checkpoint: `t3_088000.pth.tar` - Tensor count: `292` - Dtype: `float32` - Text embedding shape: `(2454, 1024)` - Speech embedding shape: `(8194, 1024)` - Size: `2143990176` bytes - SHA256: `4c51f16551e4f0a5e7bb88c58c4fc1f4ab2f0a47173665858553c8b76c900fe7` ## Loader Notes This repository contains Chatterbox Multilingual V3 single-language assets used by the linked demo Space. The T3 checkpoint is loaded with multilingual vocabulary shape `2454` and S3 speech vocabulary shape `8194`. The demo combines these model-specific assets with the shared Chatterbox inference code and companion assets needed for end-to-end speech generation.