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Can Apple M2 Max run GSAI-ML/LLaDA-8B-Instruct?

Runs Q496GB VRAM availableRequires 4GB+

Apple M2 Max meets the minimum VRAM requirement for Q4 inference of GSAI-ML/LLaDA-8B-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 GSAI-ML/LLaDA-8B-Instruct with Q4 quantization. At approximately 58 tokens/second, you can expect Good speed - acceptable for interactive use.

You have 92GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q44GB96GB57.91 tok/s✅ Fits comfortably
Q89GB96GB39.30 tok/s✅ Fits comfortably
FP1617GB96GB21.80 tok/s✅ Fits comfortably

Suitable alternatives

AMD Instinct MI300X
192GB
691.77 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
644.97 tok/s
Price: —
AMD Instinct MI300X
192GB
521.02 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
496.07 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
465.05 tok/s
Price: —

More questions

Apple M2 Max specs & pricingFull guide for GSAI-ML/LLaDA-8B-InstructGSAI-ML/LLaDA-8B-Instruct speed on Apple M2 MaxGSAI-ML/LLaDA-8B-Instruct Q4 requirements