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audio model · orpheus · macOS

Can I run Orpheus 3B on Apple M4 (16GB)?

Compatibility verdict memory check
Yes, it runs moderate speed

Yes. Orpheus 3B runs on Apple M4 (16GB) at Q4_K_M GGUF (~4 GB of ~10.5 GB usable).

Needs ~4 GB Device usable ~10.5 GB

Runs at Q4_K_M GGUF using ~4 GB of ~10.5 GB usable.

Peak memory
~4 GB
Usable on device
~10.5 GB
Device memory
16 GB
Quant
Q4_K_M GGUF
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How to run it

Use llama.cpp or LM Studio at Q4_K_M GGUF. It is light enough to run on CPU; a GPU just makes it faster.

Model orpheus
Type
Text to speech
Parameters
3B
Peak memory
~4 GB at Q4_K_M GGUF
License
Apache-2.0
Full Orpheus 3B 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 Orpheus 3B on other hardware

Nvidia GeForce RTX 2060 (6GB)Apple M1 (8GB)8GB RAM Laptop (CPU/iGPU only)Nvidia GeForce RTX 3060 Ti (8GB)Nvidia GeForce GTX 1070 (8GB)Nvidia GeForce RTX 3060 (12GB)

FAQ

Can Apple M4 (16GB) run Orpheus 3B?

Yes. Orpheus 3B runs on Apple M4 (16GB) at Q4_K_M GGUF (~4 GB of ~10.5 GB usable).

How much memory does Orpheus 3B need?

Apple M4 (16GB) has room to spare. At Q4_K_M GGUF the realistic peak is ~4 GB of memory.

What do I use to run Orpheus 3B locally?

Orpheus 3B runs in llama.cpp or LM Studio (among others). It runs on CPU, so no GPU is required.

Sources

VRAM figures are sourced peak-usage anchors at the noted quant; catalog updated 2026-10-05. See methodology.