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Orpheus 3b FT AWQ
Orpheus is a high-performance text-to-speech model, fine-tuned specifically for natural emotional speech synthesis. This repository hosts the 8-bit quantized version of the 3-billion-parameter model, optimizing runtime efficiency while maintaining high-quality output.
Downloads 809
Release Time : 4/7/2025
Model Overview
A 3-billion-parameter text-to-speech model capable of converting text input into natural speech with multiple voice tones and emotional expressions. Quantized to 8-bit (Q8_0) format for efficient inference.
Model Features
Multi-Voice Selection
Offers 8 unique voice tones with distinct characteristics
Emotional Expression
Supports emotional tags such as laughter and sighs
Efficient Inference
8-bit quantization optimizes runtime efficiency, enabling operation on consumer-grade hardware
High-Quality Audio
Generates high-quality 24kHz mono audio
Conversational Naturalness Optimization
Specially fine-tuned for conversational naturalness
Model Capabilities
Text-to-Speech
Emotional Speech Synthesis
Multi-Voice Speech Generation
Use Cases
Speech Synthesis
Audiobook Generation
Convert text content into audiobooks with emotional expressions
Natural and fluent speech output
Virtual Assistant Voice
Provide virtual assistants with diverse voice tones and emotional expressions
More natural interaction experience
Game Character Voice Acting
Generate emotionally rich voices for game characters
Enhanced game immersion
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