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Can NVIDIA H100 SXM5 80GB run meta-llama/Llama-3.2-3B?

Runs Q480GB VRAM availableRequires 2GB+

NVIDIA H100 SXM5 80GB meets the minimum VRAM requirement for Q4 inference of meta-llama/Llama-3.2-3B. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

NVIDIA H100 SXM5 80GB can run meta-llama/Llama-3.2-3B with Q4 quantization. At approximately 583 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
Q42GB80GB582.67 tok/s✅ Fits comfortably
Q83GB80GB424.85 tok/s✅ Fits comfortably
FP166GB80GB246.61 tok/s✅ Fits comfortably

Suitable alternatives

AMD Instinct MI300X
192GB
979.20 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
813.95 tok/s
Price: —
AMD Instinct MI300X
192GB
622.31 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
555.33 tok/s
Price: —
AMD Instinct MI250X
128GB
518.65 tok/s
Price: —

More questions

NVIDIA H100 SXM5 80GB specs & pricingFull guide for meta-llama/Llama-3.2-3Bmeta-llama/Llama-3.2-3B speed on NVIDIA H100 SXM5 80GBmeta-llama/Llama-3.2-3B Q4 requirements