MODELS

hexgrad/Kokoro-82M

by hexgrad

modellead-sourcehugging-face-popular-modelssource:github.comtext-to-speechttsopen-weighthugging-facegithub

Overview

Kokoro-82M is an open-weight text-to-speech model from hexgrad with 82 million parameters.

Details

Kokoro-82M is a hexgrad text-to-speech model listed on Hugging Face. Its model card describes Kokoro as an open-weight TTS model with 82 million parameters, Apache-licensed weights, GitHub and demo links, and a v1.0 release published on 2025-01-27. The official hexgrad/kokoro GitHub repository describes itself as an inference library for Kokoro-82M and links back to the Hugging Face model page and PyPI package.

When to Use

Use Kokoro-82M when you need an open-weight text-to-speech model to evaluate or integrate. Use the official hexgrad/kokoro repository when you want an inference library connected to the Hugging Face model. Use it for research or prototyping where the supplied Apache-licensed weights are acceptable.

Getting Started

Open the Hugging Face model page for hexgrad/Kokoro-82M.
Read the model card README for release
license
demo
and usage context.
Review the official hexgrad/kokoro GitHub repository for inference-library information.
Run a small text-to-speech trial before relying on it in production.

Key Features

•Text-to-speech model
•82 million parameters
•Open-weight model
•Apache-licensed weights
•Official GitHub inference library available

Capabilities

•text-to-speech
•speech-synthesis
•model-inference

Last updated Jun 4, 2026