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Can Apple M2 Max run zai-org/GLM-OCR?

Runs Q496GB VRAM availableRequires 4GB+

Apple M2 Max meets the minimum VRAM requirement for Q4 inference of zai-org/GLM-OCR. 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 zai-org/GLM-OCR with Q4 quantization. At approximately 55 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
Q44GB96GB54.66 tok/s✅ Fits comfortably
Q88GB96GB40.98 tok/s✅ Fits comfortably
FP1616GB96GB20.98 tok/s✅ Fits comfortably

Suitable alternatives

AMD Instinct MI300X
192GB
786.99 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
743.54 tok/s
Price: —
AMD Instinct MI300X
192GB
574.22 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
511.83 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
498.75 tok/s
Price: —

More questions

Apple M2 Max specs & pricingFull guide for zai-org/GLM-OCRzai-org/GLM-OCR speed on Apple M2 Maxzai-org/GLM-OCR Q4 requirements