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Can NVIDIA A100 80GB SXM4 run meta-llama/Llama-3.2-1B-Instruct?

Runs Q480GB VRAM availableRequires 1GB+

NVIDIA A100 80GB SXM4 meets the minimum VRAM requirement for Q4 inference of meta-llama/Llama-3.2-1B-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-3.2-1B-Instruct with Q4 quantization. At approximately 365 tokens/second, you can expect Excellent speed - conversational response times under 1 second.

You have 79GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q41GB80GB364.78 tok/s✅ Fits comfortably
Q81GB80GB247.70 tok/s✅ Fits comfortably
FP162GB80GB127.68 tok/s✅ Fits comfortably

Suitable alternatives

AMD Instinct MI300X
192GB
961.12 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
890.15 tok/s
Price: —
AMD Instinct MI300X
192GB
621.23 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
619.98 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
592.98 tok/s
Price: —

More questions

NVIDIA A100 80GB SXM4 specs & pricingFull guide for meta-llama/Llama-3.2-1B-Instructmeta-llama/Llama-3.2-1B-Instruct speed on NVIDIA A100 80GB SXM4meta-llama/Llama-3.2-1B-Instruct Q4 requirements