Can a NVIDIA GH200 Grace Hopper (144GB HBM + 480GB) run Phi-4 14B?

Yes — Phi-4 14B runs at FP16 (29.3 GB) at about 90–136 tok/s on a NVIDIA GH200 Grace Hopper (144GB HBM + 480GB).

How much memory does Phi-4 14B need?

Phi-4 14B needs about 7.2 GB at 4K context at its smallest quantization. A NVIDIA GH200 Grace Hopper (144GB HBM + 480GB) has 144.0 GB.

Yes — Phi-4 14B runs on a NVIDIA GH200 Grace Hopper (144GB HBM + 480GB) at FP16

Yes — it runs great.

Runs great

Best fit: Phi-4 14B at FP16 · 29.3 GB weights · 90–136 tok/s on a NVIDIA GH200 Grace Hopper (144GB HBM + 480GB).

Arena Text Overall · style-controlled

1,256FP16 untested

phi-4 · published configuration reference · FP16 not tested

Arena Text Overall (style-controlled), exact published entry phi-4, 2026-10-08: reference rating 1,256.3. Published confidence bounds 1,251.7–1,260.9. 24,126 votes. Published phi-4 configuration reference. Reasoning mode is not disclosed by the Arena dataset. Tested precision, runtime and sampling settings are not disclosed in this dataset. Selected FP16 has not been measured by this Arena entry. No quantization quality adjustment is applied.

Snapshot published 2026-10-08 · snapshot imported 2026-10-11 UTC · validated last-good data · manual refresh

Arena leaderboard dataset · Arena / lmarena-ai, Arena Leaderboard Dataset (CC BY 4.0). Selected Text Overall style-controlled rows; field names adapted, ratings unchanged. · dataset CC BY 4.0 · revision e16f90232986

Total memory at 4K context: 31.0 GB; Weights + KV cache + runtime overhead
Estimated generation: 90–136 tok/s
Estimated first token: ~0.7s

Every quantization on this machine

On small screens, each quant lists every metric below its name. On wider screens, scroll sideways for total memory, speed and fit. Keyboard: focus the table, then use the arrow keys. Quant names stay visible.

Phi-4 14B quantizations on NVIDIA GH200 Grace Hopper (144GB HBM + 480GB), estimated at 4K context. Weights and total memory are shown separately.
Quant	Weights	Total memory	Speed	Fit
Q2_K	5.6 GB	7.2 GB	222–333 tok/s	Runs great
Q3_K_M	7.2 GB	8.8 GB	202–303 tok/s	Runs great
Q4_K_M	8.9 GB	10.5 GB	185–277 tok/s	Runs great
Q5_K_M	10.4 GB	12.0 GB	171–257 tok/s	Runs great
Q6_K	12.0 GB	13.7 GB	159–239 tok/s	Runs great
Q8_0	15.6 GB	17.2 GB	138–207 tok/s	Runs great
FP16	29.3 GB	31.0 GB	90–136 tok/s	Runs great

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