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Can NVIDIA A100 80GB SXM4 run bigscience/bloomz-560m?

Runs Q480GB VRAM availableRequires 4GB+

NVIDIA A100 80GB SXM4 meets the minimum VRAM requirement for Q4 inference of bigscience/bloomz-560m. 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 bigscience/bloomz-560m with Q4 quantization. At approximately 308 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
Q44GB80GB307.70 tok/s✅ Fits comfortably
Q87GB80GB197.23 tok/s✅ Fits comfortably
FP1615GB80GB110.34 tok/s✅ Fits comfortably

Suitable alternatives

AMD Instinct MI300X
192GB
818.71 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
623.64 tok/s
Price: —
AMD Instinct MI250X
128GB
502.96 tok/s
Price: —
AMD Instinct MI300X
192GB
486.24 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
472.55 tok/s
Price: —

More questions

NVIDIA A100 80GB SXM4 specs & pricingFull guide for bigscience/bloomz-560mbigscience/bloomz-560m speed on NVIDIA A100 80GB SXM4bigscience/bloomz-560m Q4 requirements