Can a NVIDIA H100 SXM (80GB) run GPT-OSS 120B (MoE)?

Yes — GPT-OSS 120B (MoE) runs at Q8_0 (63.4 GB) at about 256–384 tok/s on a NVIDIA H100 SXM (80GB).

How much memory does GPT-OSS 120B (MoE) need?

GPT-OSS 120B (MoE) needs about 63.5 GB at 4K context at its smallest quantization. A NVIDIA H100 SXM (80GB) has 80.0 GB.

Yes — GPT-OSS 120B (MoE) runs on a NVIDIA H100 SXM (80GB) at Q8_0

Yes — it runs great.

Runs great

Best fit: GPT-OSS 120B (MoE) at Q8_0 · 63.4 GB weights · 256–384 tok/s on a NVIDIA H100 SXM (80GB).

Arena Text Overall · style-controlled

1,352Q8_0 untested

gpt-oss-120b · published configuration reference · Q8_0 not tested

Arena Text Overall (style-controlled), exact published entry gpt-oss-120b, 2026-10-08: reference rating 1,351.8. Published confidence bounds 1,347.5–1,356.2. 30,218 votes. Published gpt-oss-120b configuration reference. Reasoning mode is not disclosed by the Arena dataset. Tested precision, runtime and sampling settings are not disclosed in this dataset. Selected Q8_0 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: 64.3 GB; Weights + KV cache + runtime overhead
Estimated generation: 256–384 tok/s
Estimated first token: ~0.2s

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.

GPT-OSS 120B (MoE) quantizations on NVIDIA H100 SXM (80GB), estimated at 4K context. Weights and total memory are shown separately.
Quant	Weights	Total memory	Speed	Fit
Q2_K	62.6 GB	63.5 GB	257–385 tok/s	Runs great
Q3_K_M	62.6 GB	63.6 GB	257–385 tok/s	Runs great
Q4_K_M	62.8 GB	63.7 GB	257–385 tok/s	Runs great
Q5_K_M	62.9 GB	63.8 GB	257–385 tok/s	Runs great
Q6_K	63.3 GB	64.2 GB	256–384 tok/s	Runs great
Q8_0	63.4 GB	64.3 GB	256–384 tok/s	Runs great
FP16	65.4 GB	66.3 GB	254–381 tok/s	Tight / slow

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