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Can Apple M2 Max run deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct?

Runs Q496GB VRAM availableRequires 4GB+

Apple M2 Max meets the minimum VRAM requirement for Q4 inference of deepseek-ai/DeepSeek-Coder-V2-Lite-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 deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct 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
Q44GB96GB51.28 tok/s✅ Fits comfortably
Q87GB96GB37.46 tok/s✅ Fits comfortably
FP1615GB96GB19.92 tok/s✅ Fits comfortably

Suitable alternatives

NVIDIA H200 SXM 141GB
141GB
702.13 tok/s
Price: —
AMD Instinct MI300X
192GB
693.59 tok/s
Price: —
AMD Instinct MI300X
192GB
583.05 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
520.27 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
504.08 tok/s
Price: —

More questions

Apple M2 Max specs & pricingFull guide for deepseek-ai/DeepSeek-Coder-V2-Lite-Instructdeepseek-ai/DeepSeek-Coder-V2-Lite-Instruct speed on Apple M2 Maxdeepseek-ai/DeepSeek-Coder-V2-Lite-Instruct Q4 requirements