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Parler TTS GGUF

Developed by mmwillet2
Parler-TTS is a text-to-speech model based on GGUF encoding, offering both full-size and lightweight versions
Speech SynthesisOpen Source License:MIT#High-quality text-to-speech#Low-resource quantized version#Multi-scenario speech synthesis
Downloads 191
Release Time : 4/15/2025

Model Overview

Parler-TTS is a set of text-to-speech models that convert text into natural speech output. It provides both full-size (large) and lightweight (mini) versions to meet different computational resource requirements.

Model Features

Multiple version options
Offers both full-size (large) and lightweight (mini) models to accommodate different computational resource needs
Quantization support
Provides 5-bit quantized version, significantly reducing model size while maintaining good speech quality
GGUF format compatibility
Uses GGUF encoding format, compatible with inference frameworks like TTS.cpp

Model Capabilities

Text-to-Speech
Speech synthesis
Supports model quantization

Use Cases

Assistive technology
Screen reader
Provides speech output of text content for visually impaired users
Achieves natural and fluent speech conversion
Content creation
Audio content generation
Automatically converts text content into speech for video dubbing or podcasts
Quickly generates high-quality speech content
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