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Can Apple M2 Max run deepseek-ai/DeepSeek-R1-Distill-Llama-8B?

Runs Q496GB VRAM availableRequires 4GB+

Apple M2 Max meets the minimum VRAM requirement for Q4 inference of deepseek-ai/DeepSeek-R1-Distill-Llama-8B. 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-R1-Distill-Llama-8B with Q4 quantization. At approximately 50 tokens/second, you can expect Moderate speed - useful for batch processing.

You have 92GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q44GB96GB49.57 tok/s✅ Fits comfortably
Q89GB96GB40.08 tok/s✅ Fits comfortably
FP1617GB96GB22.36 tok/s✅ Fits comfortably

Suitable alternatives

NVIDIA H200 SXM 141GB
141GB
702.13 tok/s
Price: —
AMD Instinct MI300X
192GB
696.41 tok/s
Price: —
AMD Instinct MI300X
192GB
522.61 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
495.06 tok/s
Price: —
AMD Instinct MI250X
128GB
479.75 tok/s
Price: —

More questions

Apple M2 Max specs & pricingFull guide for deepseek-ai/DeepSeek-R1-Distill-Llama-8Bdeepseek-ai/DeepSeek-R1-Distill-Llama-8B speed on Apple M2 Maxdeepseek-ai/DeepSeek-R1-Distill-Llama-8B Q4 requirements