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Can Apple M2 Max run meta-llama/Llama-3.2-1B-Instruct?

Runs Q496GB VRAM availableRequires 1GB+

Apple M2 Max meets the minimum VRAM requirement for Q4 inference of meta-llama/Llama-3.2-1B-Instruct. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

Apple M2 Max can run meta-llama/Llama-3.2-1B-Instruct with Q4 quantization. At approximately 69 tokens/second, you can expect Good speed - acceptable for interactive use.

You have 95GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q41GB96GB69.17 tok/s✅ Fits comfortably
Q81GB96GB46.78 tok/s✅ Fits comfortably
FP162GB96GB23.77 tok/s✅ Fits comfortably

Suitable alternatives

AMD Instinct MI300X
192GB
961.12 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
890.15 tok/s
Price: —
AMD Instinct MI300X
192GB
621.23 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
619.98 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
592.98 tok/s
Price: —

More questions

Apple M2 Max specs & pricingFull guide for meta-llama/Llama-3.2-1B-Instructmeta-llama/Llama-3.2-1B-Instruct speed on Apple M2 Maxmeta-llama/Llama-3.2-1B-Instruct Q4 requirements