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audio model · kokoro · macOS

Can I run Kokoro-82M on Apple M4 (16GB)?

Compatibility verdict memory check
Yes, it runs moderate speed

Yes. Kokoro-82M runs on Apple M4 (16GB) at fp32 (~1 GB of ~10.5 GB usable).

Needs ~1 GB Device usable ~10.5 GB

Runs at fp32 using ~1 GB of ~10.5 GB usable.

Peak memory
~1 GB
Usable on device
~10.5 GB
Device memory
16 GB
Quant
fp32
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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.

Model kokoro
Type
Text to speech
Parameters
82M
Peak memory
~1 GB at fp32
License
Apache-2.0
Full Kokoro-82M requirements →
Device macOS
Memory
16 GB unified
Usable for weights
~10.5 GB
Power draw
~65 W
Best runtime
Ollama (MLX backend, preview) / MLX direct
Best models for Apple M4 (16GB) →

You could also run

Run Kokoro-82M on other hardware

Apple M1 (8GB)8GB RAM Laptop (CPU/iGPU only)iPhone 15 ProiPhone 16iPhone 16 ProGeneric Android Phone (8GB RAM)

FAQ

Can Apple M4 (16GB) run Kokoro-82M?

Yes. Kokoro-82M runs on Apple M4 (16GB) at fp32 (~1 GB of ~10.5 GB usable).

How much memory does Kokoro-82M need?

Apple M4 (16GB) 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 2026-08-03. See methodology.