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Can NVIDIA H100 SXM5 80GB run unsloth/Meta-Llama-3.1-8B-Instruct?

Runs Q480GB VRAM availableRequires 4GB+

NVIDIA H100 SXM5 80GB meets the minimum VRAM requirement for Q4 inference of unsloth/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 H100 SXM5 80GB can run unsloth/Meta-Llama-3.1-8B-Instruct with Q4 quantization. At approximately 472 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
Q44GB80GB471.78 tok/s✅ Fits comfortably
Q89GB80GB376.93 tok/s✅ Fits comfortably
FP1617GB80GB185.41 tok/s✅ Fits comfortably

Suitable alternatives

NVIDIA H200 SXM 141GB
141GB
741.80 tok/s
Price: —
AMD Instinct MI300X
192GB
721.38 tok/s
Price: —
AMD Instinct MI300X
192GB
533.67 tok/s
Price: —
AMD Instinct MI250X
128GB
457.32 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
454.65 tok/s
Price: —

More questions

NVIDIA H100 SXM5 80GB specs & pricingFull guide for unsloth/Meta-Llama-3.1-8B-Instructunsloth/Meta-Llama-3.1-8B-Instruct speed on NVIDIA H100 SXM5 80GBunsloth/Meta-Llama-3.1-8B-Instruct Q4 requirements