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Can RX 7900 GRE run meta-llama/Llama-3.1-8B?

Runs Q416GB VRAM availableRequires 4GB+

RX 7900 GRE meets the minimum VRAM requirement for Q4 inference of meta-llama/Llama-3.1-8B. 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 meta-llama/Llama-3.1-8B with Q4 quantization. At approximately 93 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
Q44GB16GB92.53 tok/s✅ Fits comfortably
Q89GB16GB61.95 tok/s✅ Fits comfortably
FP1617GB16GB35.57 tok/s❌ Not recommended

Suitable alternatives

AMD Instinct MI300X
192GB
810.24 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
666.36 tok/s
Price: —
AMD Instinct MI300X
192GB
550.08 tok/s
Price: —
AMD Instinct MI250X
128GB
524.41 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
505.82 tok/s
Price: —

More questions

RX 7900 GRE specs & pricingFull guide for meta-llama/Llama-3.1-8Bmeta-llama/Llama-3.1-8B speed on RX 7900 GREmeta-llama/Llama-3.1-8B Q4 requirements