Chatterbox Multilingual

Open weights Resemble AI September 2025

No estimate

No hardware requirements for this model

This model's weights are open, but no parameter count has been published for it. Every memory and speed figure starts from that number, so we would rather show nothing than a fabricated estimate.

On record

Full specification

Everything on record for this model. Most of it describes how it was trained rather than how it runs — useful context for judging how much work went into it, and how it compares with models built at a different scale.

Origin

Who built this model, where, and when it was published.

Organisation
Resemble AI
Organisation type
Industry
Country
United States of America
Published
4 September 2025

What it does

The problem areas the model was built for. A model can carry several of each.

Domain
Speech
Task
Text-to-speech (TTS), Speech synthesis

Size

How large the model is and how much data it was trained on. Parameters are the figure that decides whether it fits on a given graphics card.

Training data
tokens

"Trained on 0.5M hours of cleaned data"

Availability

Whether you can obtain the model and run it on your own hardware, which is what decides if any of the graphics-card figures on this page apply.

Weights
Open — downloadable
Model access
Open weights (unrestricted)
Training code
Unreleased

MIT license https://huggingface.co/ResembleAI/chatterbox

Hugging Face
ResembleAI

How it is classified

Labels the source dataset applies when tracking notable models, and how confident it is in the entry.

Record confidence
Unknown

Sources

Where this record came from and when it was last checked.

Reference
Introducing Chatterbox Multilingual: Open Source TTS for 23 Languages
Last updated
28 November 2025

What the numbers mean

About this model

Chatterbox Multilingual was published by Resemble AI, in the country recorded as United States of America, during September 2025. It comes out of an organisation categorised as industry.

It works in the domain of Speech, and is recorded as performing the task of text-to-speech (TTS), Speech synthesis.

The weights are published, so it can be downloaded and run on your own hardware indefinitely, offline, with no account attached. On Hugging Face it is published under the organisation ResembleAI.

Answers

Chatterbox Multilingual — common questions

01

Chatterbox Multilingual— when was it released?

It was published in September 2025.

02

Chatterbox Multilingual— what is it used for?

It works in the domain of Speech, and is recorded as handling the task of text-to-speech (TTS), Speech synthesis. A model can carry several of each, so these are the areas it was built for rather than a limit on what it will attempt.

03

Chatterbox Multilingual— where can I download it?

Its weights are published on Hugging Face, under the organisation ResembleAI. We do not host model files — this site calculates what hardware is needed to run them.

04

Chatterbox Multilingual— what GPU do I need to run it?

We cannot say. It has open weights, but no parameter count has been published for it, and every memory and speed calculation starts from that number. We would rather show nothing than a fabricated estimate.

05

Chatterbox Multilingual— is it open source?

Its weights are published, so it can be downloaded and run on your own hardware. Note that open weights is not the same as open source in the full sense — it says nothing about the training data, the training code, or the commercial terms attached.

06

Chatterbox Multilingual— how many parameters does it have?

No parameter count has been published for it, which is why no memory or speed figure appears on this page.

07

Chatterbox Multilingual— who created it?

It was published by Resemble AI, based in United States of America, an organisation categorised as industry.

Source

Original publication

Record last updated 28 November 2025

The other direction

Looking at it from the other side?

This page starts from the model. If you already own a card and want to know everything it will run, start from the hardware instead.