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Orpheus 3b Kaya Q2 K.gguf
A text-to-speech model fine-tuned from Canopy Labs' pre-trained model, supporting English, using GGUF Q2_K quantization format for efficient inference
Speech Synthesis Supports Multiple LanguagesOpen Source License:Apache-2.0#Efficient Speech Synthesis#Low-resource Inference#English TTS
Downloads 39
Release Time : 4/19/2025
Model Overview
This is a 3-billion-parameter text-to-speech model, fine-tuned and quantized to 8-bit GGUF format, suitable for fast speech synthesis applications
Model Features
Efficient Quantization
Uses GGUF Q2_K 8-bit quantization format, significantly improving inference efficiency while maintaining speech quality
High-Quality Speech Synthesis
Fine-tuned from a 3-billion-parameter model, capable of generating natural and fluent 24kHz mono audio
Broad Compatibility
Supports multiple inference platforms including GPUStack, LM Studio, and other GGUF-compatible environments like llama.cpp
Model Capabilities
English Text-to-Speech
24kHz Audio Generation
Efficient Quantized Inference
Use Cases
Speech Synthesis Applications
Voice Assistants
Provides natural voice output for smart assistants
Generates output with near-human speech quality
Audiobook Production
Automatically converts text content into speech
Quickly generates high-quality speech content
Development Tools
OpenAI-Compatible TTS Service
Builds OpenAI-compatible text-to-speech services through Orpheus-FastAPI
Provides standardized speech synthesis API interfaces
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