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Can Apple M2 Max run HuggingFaceTB/SmolLM2-135M?

Runs Q496GB VRAM availableRequires 4GB+

Apple M2 Max meets the minimum VRAM requirement for Q4 inference of HuggingFaceTB/SmolLM2-135M. 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 HuggingFaceTB/SmolLM2-135M 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
Q44GB96GB57.52 tok/s✅ Fits comfortably
Q87GB96GB39.87 tok/s✅ Fits comfortably
FP1615GB96GB20.41 tok/s✅ Fits comfortably

Suitable alternatives

NVIDIA H200 SXM 141GB
141GB
755.02 tok/s
Price: —
AMD Instinct MI300X
192GB
742.59 tok/s
Price: —
AMD Instinct MI250X
128GB
511.85 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
491.50 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
485.20 tok/s
Price: —

More questions

Apple M2 Max specs & pricingFull guide for HuggingFaceTB/SmolLM2-135MHuggingFaceTB/SmolLM2-135M speed on Apple M2 MaxHuggingFaceTB/SmolLM2-135M Q4 requirements