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Can Apple M2 Max run deepseek-ai/deepseek-coder-1.3b-instruct?

Runs Q496GB VRAM availableRequires 2GB+

Apple M2 Max meets the minimum VRAM requirement for Q4 inference of deepseek-ai/deepseek-coder-1.3b-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-1.3b-instruct with Q4 quantization. At approximately 71 tokens/second, you can expect Good speed - acceptable for interactive use.

You have 94GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q42GB96GB70.68 tok/s✅ Fits comfortably
Q83GB96GB43.82 tok/s✅ Fits comfortably
FP166GB96GB25.71 tok/s✅ Fits comfortably

Suitable alternatives

AMD Instinct MI300X
192GB
872.32 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
858.21 tok/s
Price: —
AMD Instinct MI300X
192GB
688.30 tok/s
Price: —
AMD Instinct MI250X
128GB
586.19 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
580.59 tok/s
Price: —

More questions

Apple M2 Max specs & pricingFull guide for deepseek-ai/deepseek-coder-1.3b-instructdeepseek-ai/deepseek-coder-1.3b-instruct speed on Apple M2 Maxdeepseek-ai/deepseek-coder-1.3b-instruct Q4 requirements