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Can A100 80GB SXM4 run Qwen2.5-7B-Instruct?

NVIDIA · 80 GB HBM2e · 2039 GB/s bandwidth · Alibaba · 7.6B · model ctx up to 128K

Yes — the A100 80GB SXM4 (80 GB HBM2e) can run Qwen2.5-7B-Instruct. At Q4 with the default 8K context it needs ≈ 6.7 GB VRAM (weights 4.18 GB + KV cache 1.52 GB + 1 GB runtime overhead), which fits within 80 GB. Decode at Q4/8K: ≈ 154.05 tok/s (measured, batch 1). FP16 (≈ 17.72 GB) also fits, at ≈ 195.0 tok/s (measured). Estimates come from memory-bandwidth math; rows tagged measured override estimates. Relative ranking is more reliable than absolute tok/s. Methodology.

Fit & speed by quant and context

QuantContextVRAM neededFits?tok/s (decode)
Q44K5.94 GBYes154.05 measured
Q48K default6.7 GBYes154.05 measured
Q432K11.26 GBYes154.05 measured
FP164K16.96 GBYes195.0 measured
FP168K default17.72 GBYes195.0 measured
FP1632K22.28 GBYes195.0 measured

Fits = weights + KV(ctx) + 1 GB overhead ≤ 95% of VRAM. Measured anchors are context-agnostic; the fit verdict is recomputed per context. A missing tok/s means the model is far beyond this card (offload-only territory).

VRAM breakdown at 8K context

QuantWeightsKV cacheOverheadTotal neededA100 80GB SXM4 VRAM
Q44.18 GB1.52 GB1 GB6.7 GB80 GB
FP1615.2 GB1.52 GB1 GB17.72 GB80 GB

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