Mindket

Chatterbox-Nano

Newversion 1 · updated

Overview

Speaks English text aloud on a plain CPU with a 110M-parameter model, and adds laughs and coughs through tags in the text. Suits developers who need fast on-device speech with a small memory and latency budget.

Chatterbox-Nano is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page, a zip of its files. Nothing in it runs by itself.

At a glance

You need
  • Python 3.11 is what the maker used for development and testing
  • pip, to install the package
  • A computer with a CPU, since no GPU is required
Runs in
  • Python, with the chatterbox-tts package from pip
  • CPU-only computers, which the card names as the best fit
  • Windows, macOS or Linux, though the maker tested on Debian 11 with Python 3.11
Start with
pip install chatterbox-tts

Platform

WindowsOperating system
macOSOperating system
LinuxOperating system

About

What it is

Chatterbox-Nano is the smallest of four open-source text-to-speech models in the Chatterbox family from Resemble AI. It has about 110 million parameters and speaks English. The card says it runs about 3x faster than realtime on an 8-core CPU, after the maker cut the mel decoder from 10 steps to one.

Who it suits

Developers who need small, quick speech output on a device or a CPU server, under the MIT license.

IndustryWho uses itHow they use itExample
SoftwareApp developersAdd on-device speech to an app with no GPURead notifications aloud
Voice productsAgent buildersGive an assistant a fast voiceAnswer a spoken question
MediaContent creatorsNarrate short scripts with laughs and coughsAdd a laugh to a line
Embedded and edgeHardware teamsRun speech within tight memory and latency limitsSpeak status messages on a small machine

Skip it if you need other languages, since this model speaks English only, or if you want the creative controls of the larger family members.

Where to use it

It runs in Python on your own machine.

  • Python, with the chatterbox-tts package from pip
  • CPU-only computers, which the card names as the best fit
  • Windows, macOS or Linux, though the maker tested on Debian 11 with Python 3.11
Use caseWhoWhat they get back
On-device speechApp developersSpoken audio from text, made on the CPU
Voice agentsAgent buildersQuick spoken replies
Expressive narrationCreatorsSpeech with laughs, coughs and chuckles marked by tags

How to set it up

You need Python and the chatterbox-tts package.

  • Python 3.11 is what the maker used for development and testing
  • pip, to install the package
  • A computer with a CPU, since no GPU is required
  1. Install the chatterbox-tts package with pip.
  2. Or install it from source in editable mode, which lets you change the code.
  3. Download the model files with the hf command if you want them on disk.
pip install chatterbox-tts
pip install -U huggingface_hub
hf download ResembleAI/chatterbox-nano

How to use it

Install the package and give it English text. You can place paralinguistic tags in the text to add sounds. The usage code is not in the card text shown here, so follow the Chatterbox usage section for the exact calls.

ToolWhat it does
[laugh]Tag that adds a laugh to the speech
[cough]Tag that adds a cough
[chuckle]Tag that adds a chuckle
pip install chatterbox-ttsInstalls the Chatterbox package

Example

You write a short English line and place a laugh tag in the middle of it. The model speaks the line as audio, and the laugh lands where you put the tag.

For newcomers and experts

If you are new to text to speech, start with one short sentence on your own computer and listen to the result. Then try a tag to hear how it changes the delivery.

If you know the field, Nano uses a lean 110M design. The speech-token-to-mel decoder was distilled so generation takes one step instead of ten. Tags are native to both Nano and Turbo, and Turbo is built for low-latency voice agents.

  1. Install chatterbox-tts
  2. Load the Nano model
  3. Write text with optional tags
  4. Generate speech on the CPU
  5. Save or play the audio

Good to know

The family also has Turbo, Multilingual and the original Chatterbox, and the card says the Multilingual model offers zero-shot cloning. Use only voices you have the right to use.

Model size in the Chatterbox family
Nano110 M
Turbo350 M
Multilingual500 M
  • License: MIT
  • Cost to run: free on your own machine, though the card also promotes a paid text-to-speech service from Resemble
  • Data it reaches: the text you give it and the model files on your computer, and nothing else the card names
  • Not for: languages other than English, since Nano is English only

README and files

README

Chatterbox-Nano

Speaks English text aloud on a plain CPU with a 110M-parameter model, and adds laughs and coughs through tags in the text. Suits developers who need fast on-device speech with a small memory and latency budget.

Made by ResembleAI on Hugging Face. These notes are Mindket's, written from its model page and model card; the model's own files and license are on Hugging Face.

About

What it is: Chatterbox-Nano is the smallest of four open-source text-to-speech models in the Chatterbox family from Resemble AI. It has about 110 million parameters and speaks English. The card says it runs about 3x faster than realtime on an 8-core CPU, after the maker cut the mel decoder from 10 steps to one.

Who it suits: Developers who need small, quick speech output on a device or a CPU server, under the MIT license.

Industry | Who uses it | How they use it | Example
Software | App developers | Add on-device speech to an app with no GPU | Read notifications aloud
Voice products | Agent builders | Give an assistant a fast voice | Answer a spoken question
Media | Content creators | Narrate short scripts with laughs and coughs | Add a laugh to a line
Embedded and edge | Hardware teams | Run speech within tight memory and latency limits | Speak status messages on a small machine

Skip it if you need other languages, since this model speaks English only, or if you want the creative controls of the larger family members.

Where to use it: It runs in Python on your own machine.

  • Python, with the chatterbox-tts package from pip
  • CPU-only computers, which the card names as the best fit
  • Windows, macOS or Linux, though the maker tested on Debian 11 with Python 3.11
Use case | Who | What they get back
On-device speech | App developers | Spoken audio from text, made on the CPU
Voice agents | Agent builders | Quick spoken replies
Expressive narration | Creators | Speech with laughs, coughs and chuckles marked by tags

How to set it up: You need Python and the chatterbox-tts package.

  • Python 3.11 is what the maker used for development and testing
  • pip, to install the package
  • A computer with a CPU, since no GPU is required
  1. Install the chatterbox-tts package with pip.
  2. Or install it from source in editable mode, which lets you change the code.
  3. Download the model files with the hf command if you want them on disk.
pip install chatterbox-tts
pip install -U huggingface_hub
hf download ResembleAI/chatterbox-nano

How to use it: Install the package and give it English text. You can place paralinguistic tags in the text to add sounds. The usage code is not in the card text shown here, so follow the Chatterbox usage section for the exact calls.

Tool | What it does
[laugh] | Tag that adds a laugh to the speech
[cough] | Tag that adds a cough
[chuckle] | Tag that adds a chuckle
pip install chatterbox-tts | Installs the Chatterbox package

Example: You write a short English line and place a laugh tag in the middle of it. The model speaks the line as audio, and the laugh lands where you put the tag.

For newcomers and experts: If you are new to text to speech, start with one short sentence on your own computer and listen to the result. Then try a tag to hear how it changes the delivery.

If you know the field, Nano uses a lean 110M design. The speech-token-to-mel decoder was distilled so generation takes one step instead of ten. Tags are native to both Nano and Turbo, and Turbo is built for low-latency voice agents.

Install chatterbox-tts
Load the Nano model
Write text with optional tags
Generate speech on the CPU
Save or play the audio

Good to know: The family also has Turbo, Multilingual and the original Chatterbox, and the card says the Multilingual model offers zero-shot cloning. Use only voices you have the right to use.

Title: Model size in the Chatterbox family
Nano: 110 M
Turbo: 350 M
Multilingual: 500 M
  • License: MIT
  • Cost to run: free on your own machine, though the card also promotes a paid text-to-speech service from Resemble
  • Data it reaches: the text you give it and the model files on your computer, and nothing else the card names
  • Not for: languages other than English, since Nano is English only

On Hugging Face, 13 November 2026

  • Task: text to speech
  • Downloads in the last 30 days: 0
  • Likes: 49
  • License: mit
  • Languages: en
  • Quantized versions: 18
  • Fine-tunes: 9
  • Tags: text-to-speech, speech, speech-generation, voice-cloning

Links

Get the model

Download its files with Hugging Face's command line:

pip install -U huggingface_hub
hf download ResembleAI/chatterbox-nano

Then follow the usage in its model card. Nothing in this kit runs by itself.

Files
README.md  5 KB

1 file, 5 KB, downloaded as a zip.

What’s new

  • Version 1 · 2026-11-13

Compare with similar

Listed Hugging Face models in the same category that share the most tags with this one.

ProductDownloads, last 30 daysLikesParametersLicenseLast change
Chatterbox-Nano This page049—mit
Chatterbox TTSShares speech-generation · voice-cloning · speech2,440,9021,911—mit
AuKShares speech-generation · voice-cloning · speech1,455396—mit
Chatterbox-TurboShares speech-generation · voice-cloning · speech0709—mit
Ming-3.0-tts-0.5B by inclusionAIShares speech-generation · voice-cloning · text-to-speech14,7562251.5Bmit
Ming-3.0-tts-tinyShares speech-generation · voice-cloning · text-to-speech9,080619Bmit
Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13.

Reviews

No ratings yet

Write a review

No reviews yet.

More from Mindket

See all from Mindket

anaksor-ocr

Sokheng · Kit

Reads Khmer and English text from documents, receipts and photos of signs, using a detector for text lines and a recogniser for each line. Suits developers who…

New

Qwen2.5-7B-Instruct as GGUF files in eight quantization sizes, to chat with locally through llama.cpp. For people who want a capable 7.6B model on their own co…

New

ACE-Step 1.5 XL SFT

ACE-Step · Kit

Generates music from text with a 4B diffusion decoder, 50 steps and guidance control, aiming for higher audio quality than the base. For creators with a GPU of…

New

Similar in Developer

See all in Developer

Claude Code Skills & Plugins

alirezarezvani · Skill

Adds 411 ready-made skills for Claude Code and other coding agents, grouped by role from engineering and product to marketing, finance and compliance. Installs…

New29.8k

buzz

block · Kit

Self-hostable workspace where people and AI agents share the same rooms, built on a Nostr relay that logs every action as a signed event. For teams that want t…

New37.3k

plannotator

backnotprop · Kit

Opens your AI coding agent's plans, specs and code changes in a browser so you can annotate or comment on them and send the feedback straight back to the agent.

New10.5k