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---
license: mit
language:
- hi
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-hi`](https://huggingface.co/spaces/ResembleAI/Chatterbox-Multilingual-TTS-hi) Space.
<!-- chatterbox-space-link -->
# Chatterbox Multilingual: Hindi
Chatterbox Multilingual: Hindi is a dedicated single-language finetune in the **Chatterbox Multilingual V3 Single Language Pack**. It is optimized for Hindi, with language- and region-specific behavior for expressive text-to-speech and voice cloning.
Use this model when you want tighter Hindi 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-hi`](https://huggingface.co/spaces/ResembleAI/Chatterbox-Multilingual-TTS-hi).
## Files
- `t3_hi.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.
## Language
- Locale: `hi`
- Chatterbox language ID: `hi`
## Checkpoint Metadata
- Source step: `131000`
- Source checkpoint: `t3_131000.pth.tar`
- Tensor count: `292`
- Dtype: `float32`
- Text embedding shape: `(2454, 1024)`
- Speech embedding shape: `(8194, 1024)`
- Size: `2143990224` bytes
- SHA256: `89fd813802e2cf7350d609959cec4dae63dd58f445651b05009262d7e24780f9`
## 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.