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Can H100 80GB SXM5 run Llama-3.2-3B-Instruct?

NVIDIA · 80 GB HBM3 · 3350 GB/s bandwidth · Meta · 3.2B · model ctx up to 128K

Yes — the H100 80GB SXM5 (80 GB HBM3) can run Llama-3.2-3B-Instruct. At Q4 with the default 8K context it needs ≈ 3.4 GB VRAM (weights 1.76 GB + KV cache 0.64 GB + 1 GB runtime overhead), which fits within 80 GB. Decode at Q4/8K: ≈ 666.2 tok/s (estimated, batch 1). FP16 (≈ 8.04 GB) also fits, at ≈ 183.2 tok/s (estimated). 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)
Q44K3.08 GBYes666.2 est.
Q48K default3.4 GBYes666.2 est.
Q432K5.32 GBYes666.2 est.
FP164K7.72 GBYes183.2 est.
FP168K default8.04 GBYes183.2 est.
FP1632K9.96 GBYes183.2 est.

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 neededH100 80GB SXM5 VRAM
Q41.76 GB0.64 GB1 GB3.4 GB80 GB
FP166.4 GB0.64 GB1 GB8.04 GB80 GB

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