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Can Apple M3 Max run GSAI-ML/LLaDA-8B-Base?

Runs Q4128GB VRAM availableRequires 4GB+

Apple M3 Max meets the minimum VRAM requirement for Q4 inference of GSAI-ML/LLaDA-8B-Base. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

Apple M3 Max can run GSAI-ML/LLaDA-8B-Base with Q4 quantization. At approximately 51 tokens/second, you can expect Good speed - acceptable for interactive use.

You have 124GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q44GB128GB51.29 tok/s✅ Fits comfortably
Q89GB128GB36.63 tok/s✅ Fits comfortably
FP1617GB128GB20.53 tok/s✅ Fits comfortably

Best current price

Apple M3 Max
$3,999.00 on Amazon
Check Price

Suitable alternatives

AMD Instinct MI300X
192GB
691.62 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
620.73 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
517.79 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
513.69 tok/s
Price: —
AMD Instinct MI250X
128GB
507.91 tok/s
Price: —

More questions

Apple M3 Max specs & pricingFull guide for GSAI-ML/LLaDA-8B-BaseGSAI-ML/LLaDA-8B-Base speed on Apple M3 MaxGSAI-ML/LLaDA-8B-Base Q4 requirements