MetaLlama 3.2 1B Instruct on Apple M4 Ultra (192GB)
Yes — M4 Ultra (192GB) runs Llama 3.2 1B Instruct excellently at Q8_0 — 225 tok/s. 192 GB VRAM with plenty of headroom.
Model Size
1.24B
Device VRAM
192 GB
Bandwidth
819 GB/s
Quantization
Q8_0
Performance by Quantization
OwnRig currently has one published compatibility entry for Llama 3.2 1B Instruct on Apple M4 Ultra (192GB) at Q8_0. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q8_0 | 225 tok/s | 20ms | ✓ Yes | Excellent | estimated |
Notes
Q8_0
M4 Ultra: ~1.5x M4 Max performance due to higher memory bandwidth and GPU cores.
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 Ultra (192GB)
Apple M4 Ultra (192GB) has 192 GB at 819 GB/s. Available in Mac Studio, Mac Pro.
See all models Apple M4 Ultra (192GB) can run →Estimate method: Estimated from M4 Max benchmarks scaled by memory bandwidth ratio (819/546 GB/s). Reference hardware source: github.com (2026-03-14)
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.