Resemble AI · MIT

Chatterbox

Resemble AI’s voice-cloning models: Multilingual V3 covers 23 languages; Turbo is English-only and quicker.

How much memory it needs

Memory to run each model, from its model card or the size of its files. Smaller versions trade some quality for less memory.

ModelVersionNeedsBusiness use
Chatterbox-TurboFull3.0 GBAllowed
Chatterbox Multilingual V3Full3.2 GBAllowed

Which computers run it

The best model in this group for each machine.

ComputerBest versionFit
Laptop or PC, no graphics card, 32 GBChatterbox Multilingual V3 FullRuns great
RTX 4060 · 8 GBChatterbox Multilingual V3 FullRuns great
RTX 3060 · 12 GBChatterbox Multilingual V3 FullRuns great
RTX 5060 Ti · 16 GBChatterbox Multilingual V3 FullRuns great
RTX 4090 · 24 GBChatterbox Multilingual V3 FullRuns great
RTX 5090 · 32 GBChatterbox Multilingual V3 FullRuns great
Mac with M4 · 16 GBChatterbox Multilingual V3 FullRuns great
Mac with M4 Pro · 48 GBChatterbox Multilingual V3 FullRuns great
Mac with M5 Max · 128 GBChatterbox Multilingual V3 FullRuns great
Ryzen AI Max+ 395 · 128 GBChatterbox Multilingual V3 FullRuns great
DGX Spark · 128 GBChatterbox Multilingual V3 FullRuns great
RTX PRO 6000 · 96 GBChatterbox Multilingual V3 FullRuns great
Mac Studio with M5 Ultra · 256 GBChatterbox Multilingual V3 FullRuns great
Mac Studio with M3 Ultra · 512 GBChatterbox Multilingual V3 FullRuns great

What it is good and bad at

Good at

  • Voice cloning from a short sample
  • MIT licence

Not good at

  • Turbo is English only

Start it

  • Chatterbox-Turbo: runs in chatterbox-tts (PyTorch) (also ONNX (ResembleAI/chatterbox-turbo-ONNX), MLX (mlx-community)). Model card
  • Chatterbox Multilingual V3: runs in chatterbox-tts (PyTorch) (also ONNX (onnx-community/chatterbox-ONNX), MLX (mlx-community), GGUF community ports). Model card