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Can NVIDIA A100 80GB SXM4 run lmsys/vicuna-7b-v1.5?

Runs Q480GB VRAM availableRequires 4GB+

NVIDIA A100 80GB SXM4 meets the minimum VRAM requirement for Q4 inference of lmsys/vicuna-7b-v1.5. 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 lmsys/vicuna-7b-v1.5 with Q4 quantization. At approximately 279 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
Q44GB80GB279.45 tok/s✅ Fits comfortably
Q87GB80GB215.48 tok/s✅ Fits comfortably
FP1615GB80GB119.81 tok/s✅ Fits comfortably

Suitable alternatives

NVIDIA H200 SXM 141GB
141GB
747.24 tok/s
Price: —
AMD Instinct MI300X
192GB
729.14 tok/s
Price: —
AMD Instinct MI300X
192GB
494.89 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
453.39 tok/s
Price: —
AMD Instinct MI250X
128GB
446.97 tok/s
Price: —

More questions

NVIDIA A100 80GB SXM4 specs & pricingFull guide for lmsys/vicuna-7b-v1.5lmsys/vicuna-7b-v1.5 speed on NVIDIA A100 80GB SXM4lmsys/vicuna-7b-v1.5 Q4 requirements