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Can NVIDIA H100 SXM5 80GB run Qwen/Qwen2.5-14B-Instruct?

Runs Q480GB VRAM availableRequires 7GB+

NVIDIA H100 SXM5 80GB meets the minimum VRAM requirement for Q4 inference of Qwen/Qwen2.5-14B-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 Qwen/Qwen2.5-14B-Instruct with Q4 quantization. At approximately 382 tokens/second, you can expect Excellent speed - conversational response times under 1 second.

You have 73GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q47GB80GB381.87 tok/s✅ Fits comfortably
Q814GB80GB235.82 tok/s✅ Fits comfortably
FP1629GB80GB138.26 tok/s✅ Fits comfortably

Suitable alternatives

AMD Instinct MI300X
192GB
533.01 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
523.52 tok/s
Price: —
AMD Instinct MI300X
192GB
415.93 tok/s
Price: —
AMD Instinct MI250X
128GB
350.33 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
340.57 tok/s
Price: —

More questions

NVIDIA H100 SXM5 80GB specs & pricingFull guide for Qwen/Qwen2.5-14B-InstructQwen/Qwen2.5-14B-Instruct speed on NVIDIA H100 SXM5 80GBQwen/Qwen2.5-14B-Instruct Q4 requirements