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Can Apple M2 Max run openai-community/gpt2-large?

Runs Q496GB VRAM availableRequires 4GB+

Apple M2 Max meets the minimum VRAM requirement for Q4 inference of openai-community/gpt2-large. 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 openai-community/gpt2-large with Q4 quantization. At approximately 51 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
Q44GB96GB51.35 tok/s✅ Fits comfortably
Q87GB96GB36.22 tok/s✅ Fits comfortably
FP1615GB96GB20.27 tok/s✅ Fits comfortably

Suitable alternatives

AMD Instinct MI300X
192GB
710.06 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
666.58 tok/s
Price: —
AMD Instinct MI300X
192GB
535.92 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
515.42 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
507.19 tok/s
Price: —

More questions

Apple M2 Max specs & pricingFull guide for openai-community/gpt2-largeopenai-community/gpt2-large speed on Apple M2 Maxopenai-community/gpt2-large Q4 requirements