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Can NVIDIA A100 80GB SXM4 run meta-llama/Llama-3.2-3B-Instruct?

Runs Q480GB VRAM availableRequires 2GB+

NVIDIA A100 80GB SXM4 meets the minimum VRAM requirement for Q4 inference of meta-llama/Llama-3.2-3B-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 meta-llama/Llama-3.2-3B-Instruct with Q4 quantization. At approximately 327 tokens/second, you can expect Excellent speed - conversational response times under 1 second.

You have 78GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q42GB80GB326.56 tok/s✅ Fits comfortably
Q83GB80GB244.50 tok/s✅ Fits comfortably
FP166GB80GB132.68 tok/s✅ Fits comfortably

Suitable alternatives

NVIDIA H200 SXM 141GB
141GB
891.20 tok/s
Price: —
AMD Instinct MI300X
192GB
885.01 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
635.06 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
633.16 tok/s
Price: —
AMD Instinct MI250X
128GB
611.92 tok/s
Price: —

More questions

NVIDIA A100 80GB SXM4 specs & pricingFull guide for meta-llama/Llama-3.2-3B-Instructmeta-llama/Llama-3.2-3B-Instruct speed on NVIDIA A100 80GB SXM4meta-llama/Llama-3.2-3B-Instruct Q4 requirements