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Can H100 80GB SXM5 run Phi-4-mini-instruct?

NVIDIA · 80 GB HBM3 · 3350 GB/s bandwidth · Microsoft · 3.8B · model ctx up to 128K

Yes — the H100 80GB SXM5 (80 GB HBM3) can run Phi-4-mini-instruct. At Q4 with the default 8K context it needs ≈ 3.85 GB VRAM (weights 2.09 GB + KV cache 0.76 GB + 1 GB runtime overhead), which fits within 80 GB. Decode at Q4/8K: ≈ 561.0 tok/s (estimated, batch 1). FP16 (≈ 9.36 GB) also fits, at ≈ 154.3 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)
Q44K3.47 GBYes561.0 est.
Q48K default3.85 GBYes561.0 est.
Q432K6.13 GBYes561.0 est.
FP164K8.98 GBYes154.3 est.
FP168K default9.36 GBYes154.3 est.
FP1632K11.64 GBYes154.3 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
Q42.09 GB0.76 GB1 GB3.85 GB80 GB
FP167.6 GB0.76 GB1 GB9.36 GB80 GB

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