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Can NVIDIA A100 80GB SXM4 run NousResearch/Meta-Llama-3.1-8B-Instruct?

Runs Q480GB VRAM availableRequires 4GB+

NVIDIA A100 80GB SXM4 meets the minimum VRAM requirement for Q4 inference of NousResearch/Meta-Llama-3.1-8B-Instruct. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

NVIDIA A100 80GB SXM4 can run NousResearch/Meta-Llama-3.1-8B-Instruct with Q4 quantization. At approximately 319 tokens/second, you can expect Excellent speed - conversational response times under 1 second.

You have 76GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q44GB80GB318.68 tok/s✅ Fits comfortably
Q89GB80GB220.18 tok/s✅ Fits comfortably
FP1617GB80GB118.81 tok/s✅ Fits comfortably

Suitable alternatives

AMD Instinct MI300X
192GB
800.25 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
744.50 tok/s
Price: —
AMD Instinct MI300X
192GB
556.31 tok/s
Price: —
AMD Instinct MI250X
128GB
478.27 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
450.99 tok/s
Price: —

More questions

NVIDIA A100 80GB SXM4 specs & pricingFull guide for NousResearch/Meta-Llama-3.1-8B-InstructNousResearch/Meta-Llama-3.1-8B-Instruct speed on NVIDIA A100 80GB SXM4NousResearch/Meta-Llama-3.1-8B-Instruct Q4 requirements