Duplicate from MisoLabs/MisoTTS

Co-authored-by: Aoden Teo Masa Toshi <AodenT@users.noreply.huggingface.co>

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LICENSE

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+Modified MIT License
+
+Copyright (c) 2026 Kamino Learning, Inc. 
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the “Software”), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
+
+Our only modification part is that, if the Software (or any derivative works
+thereof) is used for any of your commercial products or services that have
+more than 50 million monthly active users, or more than 10 million US dollars
+(or equivalent in other currencies) in monthly revenue, you shall prominently
+display "Miso Labs" on the user interface of such product or service.

README.md

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+---
+license: other
+library_name: pytorch
+pipeline_tag: text-to-speech
+tags:
+  - text-to-speech
+  - speech-synthesis
+  - voice
+  - audio
+  - sesame
+  - mimi
+  - llama
+---
+
+<div align="center">
+
+<img src="repo_banner.png" alt="Miso TTS 8B" width="100%">
+<p>
+  <a href="https://misolabs.ai"><img alt="Website" src="https://img.shields.io/badge/Website-misolabs.ai-black?style=for-the-badge"></a>
+  <a href="https://huggingface.co/MisoLabs/MisoTTS"><img alt="Hugging Face" src="https://img.shields.io/badge/Hugging%20Face-MisoTTS-yellow?style=for-the-badge"></a>
+  <a href="https://github.com/MisoLabsAI"><img alt="GitHub" src="https://img.shields.io/badge/GitHub-MisoLabsAI-181717?style=for-the-badge&logo=github&labelColor=555555"></a>
+  <a href="https://x.com/MisoLabsAI"><img alt="X" src="https://img.shields.io/badge/-MisoLabsAI-181717?style=for-the-badge&logo=x&labelColor=555555"></a>
+</p>
+
+<p>
+  <a href="#quickstart">Quickstart</a> |
+  <a href="#model-introduction">Model Introduction</a> |
+  <a href="#model-summary">Model Summary</a> |
+  <a href="#architecture">Architecture</a> |
+  <a href="#links">Links</a>
+</p>
+
+</div>
+
+---
+# Miso TTS 8B
+## Model Introduction
+
+Miso TTS 8B is a text-to-speech model based on the Sesame CSM architecture. It
+generates Mimi audio codes from text and optional audio context, using a large
+Llama 3.2-style backbone and a smaller autoregressive audio decoder.
+
+The model is designed for high-quality conversational speech generation and
+voice continuation from prompt audio. This repository contains the inference
+code, model definition, and setup instructions for running Miso TTS locally.
+
+---
+
+## Quickstart
+
+To run the model, use the inference code at our [public repository](https://github.com/MisoLabsAI/MisoTTS), 
+or try our demo at misolabs.ai.
+
+## Model Summary
+
+| Item                | Value            |
+| ------------------- | ---------------- |
+| Model               | Miso TTS 8B      |
+| Organization        | Miso Labs        |
+| Task                | Text-to-speech   |
+| Architecture        | Sesame-style CSM |
+| Backbone            | `llama-8B`       |
+| Audio decoder       | `llama-300M`     |
+| Text vocabulary     | `128,256`        |
+| Audio vocabulary    | `2,051`          |
+| Audio codebooks     | `32`             |
+| Audio tokenizer     | Mimi             |
+| Max sequence length | `2,048`          |
+
+### Architecture
+
+Miso TTS 8B uses two transformer components:
+
+- A large backbone transformer that consumes text/audio-frame embeddings.
+- A smaller decoder transformer that autoregressively predicts higher-order
+  audio codebooks within each frame.
+
+Codebook 0 is
+predicted from the backbone hidden state, while codebooks 1 through 31 are
+predicted by the audio decoder autoregressively in codebook depth.
+
+---
+
+## Links
+
+- Website: [misolabs.ai](https://misolabs.ai)
+- Hugging Face: [MisoLabs/MisoTTS](https://huggingface.co/MisoLabs/MisoTTS)
+- GitHub: [MisoLabsAI](https://github.com/MisoLabsAI)
+- X: [@MisoLabsAI](https://x.com/MisoLabsAI)

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