audio model · kokoro · macOS
KO Can I run Kokoro-82M on Apple M4 (24GB)?
Yes. Kokoro-82M runs on Apple M4 (24GB) at fp32 (~1 GB of ~16 GB usable).
Runs at fp32 using ~1 GB of ~16 GB usable.
- Peak memory
- ~1 GB
- Usable on device
- ~16 GB
- Device memory
- 24 GB
- Quant
- fp32
How to run it
Use kokoro (Python) or ONNX Runtime at fp32. It is light enough to run on CPU; a GPU just makes it faster.
- Type
- Text to speech
- Parameters
- 82M
- Peak memory
- ~1 GB at fp32
- License
- Apache-2.0
- Memory
- 24 GB unified
- Usable for weights
- ~16 GB
- Best runtime
- Ollama (MLX backend, preview) / MLX direct
You could also run
Run Kokoro-82M on other hardware
FAQ
Can Apple M4 (24GB) run Kokoro-82M?
Yes. Kokoro-82M runs on Apple M4 (24GB) at fp32 (~1 GB of ~16 GB usable).
How much memory does Kokoro-82M need?
Apple M4 (24GB) has room to spare. At fp32 the realistic peak is ~1 GB of memory.
What do I use to run Kokoro-82M locally?
Kokoro-82M runs in kokoro (Python) or ONNX Runtime (among others). It runs on CPU, so no GPU is required.
Sources
VRAM figures are sourced peak-usage anchors at the noted quant, validated 2026-06-15. See methodology.