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Can NVIDIA A100 80GB SXM4 run bigcode/starcoder2-3b?

Runs Q480GB VRAM availableRequires 2GB+

NVIDIA A100 80GB SXM4 meets the minimum VRAM requirement for Q4 inference of bigcode/starcoder2-3b. 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 bigcode/starcoder2-3b with Q4 quantization. At approximately 324 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
Q42GB80GB324.31 tok/s✅ Fits comfortably
Q83GB80GB263.13 tok/s✅ Fits comfortably
FP166GB80GB132.27 tok/s✅ Fits comfortably

Suitable alternatives

AMD Instinct MI300X
192GB
974.08 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
798.71 tok/s
Price: —
AMD Instinct MI300X
192GB
668.98 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
591.63 tok/s
Price: —
AMD Instinct MI250X
128GB
570.73 tok/s
Price: —

More questions

NVIDIA A100 80GB SXM4 specs & pricingFull guide for bigcode/starcoder2-3bbigcode/starcoder2-3b speed on NVIDIA A100 80GB SXM4bigcode/starcoder2-3b Q4 requirements