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Can H100 80GB SXM5 run Llama-3.1-70B-Instruct?

NVIDIA · 80 GB HBM3 · 3350 GB/s bandwidth · Meta · 70.6B · model ctx up to 128K

Yes — the H100 80GB SXM5 (80 GB HBM3) can run Llama-3.1-70B-Instruct. At Q4 with the default 8K context it needs ≈ 53.83 GB VRAM (weights 38.83 GB + KV cache 14.0 GB + 1 GB runtime overhead), which fits within 80 GB. Decode at Q4/8K: ≈ 30.5 tok/s (estimated, batch 1). FP16 needs ≈ 156.2 GB — does not fit on this card. 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)
Q44K46.83 GBYes30.5 est.
Q48K default53.83 GBYes30.5 est.
Q432K95.83 GBNo60.6 est.
FP164K149.2 GBNo180.0 measured
FP168K default156.2 GBNo180.0 measured
FP1632K198.2 GBNo180.0 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 neededH100 80GB SXM5 VRAM
Q438.83 GB14.0 GB1 GB53.83 GB80 GB
FP16141.2 GB14.0 GB1 GB156.2 GB80 GB

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