Llama 3.2 1B Instruct on Apple M4 Pro (24GB Unified)

Yes — M4 Pro (24GB Unified) runs Llama 3.2 1B Instruct excellently at Q8_0 — 90 tok/s. 24 GB VRAM with plenty of headroom.

Model Size

1.24B

Device VRAM

24 GB

Bandwidth

273 GB/s

Quantization

Q8_0

Benchmarks

Performance by Quantization

OwnRig currently has one published compatibility entry for Llama 3.2 1B Instruct on Apple M4 Pro (24GB Unified) at Q8_0. This is the best supported pairing we can stand behind today.

Quantization	Speed	TTFT	Fits in VRAM	Rating	Confidence
Q8_0	90 tok/s	50ms	✓ Yes	Excellent	estimated

Notes

Q8_0

1B runs well on 273 GB/s. Good for quick inference on Mac.

About Llama 3.2 1B Instruct

Llama 3.2 1B Instruct (1.24B) is a chat, coding model. The smallest Llama model. Runs on integrated GPUs and even CPUs. Useful for basic classification, simple Q&A, and as a draft model for speculative decoding. Limited reasoning capability.

View all Llama 3.2 1B Instruct hardware options →

About Apple M4 Pro (24GB Unified)

Apple M4 Pro (24GB Unified) has 24 GB at 273 GB/s. Available in MacBook Pro 14", MacBook Pro 16", Mac Mini.

See all models Apple M4 Pro (24GB Unified) can run →

Estimate method: MLX performance estimates based on device bandwidth. Reference hardware source: github.com (2026-03-15)

Performance varies by driver version, inference engine, quantization method, context length, and system configuration. Figures shown are estimates based on community benchmarks and may not reflect your exact setup. Product names are trademarks of their respective owners. OwnRig is independent and not affiliated with any hardware or AI model provider.