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Can RX 7900 GRE run deepseek-ai/DeepSeek-R1?

Runs Q416GB VRAM availableRequires 4GB+

RX 7900 GRE meets the minimum VRAM requirement for Q4 inference of deepseek-ai/DeepSeek-R1. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

RX 7900 GRE can run deepseek-ai/DeepSeek-R1 with Q4 quantization. At approximately 90 tokens/second, you can expect Good speed - acceptable for interactive use.

You have 12GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q44GB16GB90.47 tok/s✅ Fits comfortably
Q87GB16GB68.88 tok/s✅ Fits comfortably
FP1615GB16GB37.54 tok/s⚠️ Tight fit

Suitable alternatives

AMD Instinct MI300X
192GB
804.32 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
666.47 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
528.03 tok/s
Price: —
AMD Instinct MI300X
192GB
502.64 tok/s
Price: —
AMD Instinct MI250X
128GB
487.86 tok/s
Price: —

More questions

RX 7900 GRE specs & pricingFull guide for deepseek-ai/DeepSeek-R1deepseek-ai/DeepSeek-R1 speed on RX 7900 GREdeepseek-ai/DeepSeek-R1 Q4 requirements