Orpheus 3b German FT Q8 0.gguf

🚀 Orpheus-3b-German-FT-Q8_0

Orpheus-3b-German-FT-Q8_0 is a quantised Text-to-Speech model, fine - tuned for natural and emotional speech synthesis. It offers high - quality output with efficient performance.

🚀 Quick Start

1. Download this quantised model from [lex - au's Orpheus - FASTAPI collection](https://huggingface.co/collections/lex - au/orpheus - fastapi - 67e125ae03fc96dae0517707).
2. Load the model in your preferred inference server and start the server.
3. Clone the Orpheus - FastAPI repository:

git clone https://github.com/Lex - au/Orpheus - FastAPI.git
cd Orpheus - FastAPI

4. Configure the FastAPI server to connect to your inference server by setting the ORPHEUS_API_URL environment variable.
5. Follow the complete installation and setup instructions in the [repository README](https://github.com/Lex - au/Orpheus - FastAPI).

✨ Features

• Multiple Voices: 3 distinct voice options with different characteristics, including Jana (female, German, clear), Thomas (male, German, authoritative), and Max (male, German, energetic).
• Emotion Tags: Support for emotion tags like <laugh>, <chuckle>, <sigh>, <cough>, <sniffle>, <groan>, <yawn>, <gasp> to add expressiveness to speech.
• CUDA Acceleration: Optimised for CUDA acceleration on RTX GPUs.
• High - Quality Audio: Produces high - quality 24kHz mono audio.
• Conversational Naturalness: Fine - tuned for conversational naturalness.

📦 Installation

This quantised model can be loaded into any of these LLM inference servers:

• GPUStack - GPU optimised LLM inference server (My pick) - supports LAN/WAN tensor split parallelisation.
• LM Studio - Load the GGUF model and start the local server.
• llama.cpp server - Run with the appropriate model parameters.
• Any compatible OpenAI API - compatible server.

💻 Usage Examples

Basic Usage

This model is designed to be used with an LLM inference server that connects to the [Orpheus - FastAPI](https://github.com/Lex - au/Orpheus - FastAPI) frontend, which provides both a web UI and OpenAI - compatible API endpoints.

📚 Documentation

Model Description

Orpheus - 3b - FT - Q8_0 is a 3 billion parameter Text - to - Speech model that converts text inputs into natural - sounding speech with support for multiple voices and emotional expressions. The model has been quantised to 8 - bit (Q8_0) format for efficient inference, making it accessible on consumer hardware.

Technical Specifications

Limitations

• Best performance achieved on CUDA - compatible GPUs.
• Generation speed depends on GPU capability.

🔧 Technical Details

• Architecture: Specialised token - to - audio sequence model.
• The model is quantised to 8 - bit (GGUF Q8_0 format) to balance efficiency and quality, enabling it to run on consumer hardware.

📄 License

This model is available under the [Apache License 2.0](https://www.apache.org/licenses/LICENSE - 2.0).

📚 Citation & Attribution

The original Orpheus model was created by Canopy Labs. This repository contains a quantised version optimised for use with the Orpheus - FastAPI server.

If you use this quantised model in your research or applications, please cite:

@misc{orpheus-tts-2025,
  author = {Canopy Labs},
  title = {Orpheus-3b-0.1-ft: Text-to-Speech Model},
  year = {2025},
  publisher = {HuggingFace},
  howpublished = {\url{https://huggingface.co/canopylabs/orpheus-3b-0.1-ft}}
}

@misc{orpheus-quantised-2025,
  author = {Lex-au},
  title = {Orpheus-3b-FT-Q8_0: Quantised TTS Model with FastAPI Server},
  note = {GGUF quantisation of canopylabs/orpheus-3b-0.1-ft},
  year = {2025},
  publisher = {HuggingFace},
  howpublished = {\url{https://huggingface.co/lex-au/Orpheus-3b-FT-Q8_0.gguf}}
}