MetaLlama 3.2 1B Instruct on Apple M3 Pro (18GB Unified)
Yes — M3 Pro (18GB Unified) handles Llama 3.2 1B Instruct well at Q8_0 — 45 tok/s. Solid daily-driver performance on 18 GB VRAM.
Model Size
1.24B
Device VRAM
18 GB
Bandwidth
150 GB/s
Quantization
Q8_0
Performance by Quantization
OwnRig currently has one published compatibility entry for Llama 3.2 1B Instruct on Apple M3 Pro (18GB 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 | 45 tok/s | 180ms | ✓ Yes | Good | estimated |
Notes
Q8_0
150 GB/s bandwidth limits throughput vs M4 Pro. Good for lightweight tasks.
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 M3 Pro (18GB Unified)
Apple M3 Pro (18GB Unified) has 18 GB at 150 GB/s. Available in MacBook Pro 14", MacBook Pro 16".
See all models Apple M3 Pro (18GB Unified) can run →Estimate method: MLX performance estimates. 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.