k2-fsa (Next-gen Kaldi) · CC BY-NC 4.0

OmniVoice

A 0.6B voice model covering 600+ languages with cloning. The weights are non-commercial.

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
OmniVoiceFP323.3 GBNot allowed

Which computers run it

The best model in this group for each machine.

ComputerBest versionFit
Laptop or PC, no graphics card, 32 GBOmniVoice FP32Runs great
RTX 4060 · 8 GBOmniVoice FP32Runs great
RTX 3060 · 12 GBOmniVoice FP32Runs great
RTX 5060 Ti · 16 GBOmniVoice FP32Runs great
RTX 4090 · 24 GBOmniVoice FP32Runs great
RTX 5090 · 32 GBOmniVoice FP32Runs great
Mac with M4 · 16 GBOmniVoice FP32Runs great
Mac with M4 Pro · 48 GBOmniVoice FP32Runs great
Mac with M5 Max · 128 GBOmniVoice FP32Runs great
Ryzen AI Max+ 395 · 128 GBOmniVoice FP32Runs great
DGX Spark · 128 GBOmniVoice FP32Runs great
RTX PRO 6000 · 96 GBOmniVoice FP32Runs great
Mac Studio with M5 Ultra · 256 GBOmniVoice FP32Runs great
Mac Studio with M3 Ultra · 512 GBOmniVoice FP32Runs great

What it is good and bad at

Good at

  • Huge language coverage

Not good at

  • Non-commercial (CC BY-NC)

Start it

  • OmniVoice: runs in omnivoice (PyTorch) (also GGUF community ports). Model card