Can a NVIDIA H100 SXM (80GB) run GLM-4.7 Flash (MoE)?

Yes — GLM-4.7 Flash (MoE) runs at FP16 (59.9 GB) at about 191–286 tok/s on a NVIDIA H100 SXM (80GB).

How much memory does GLM-4.7 Flash (MoE) need?

GLM-4.7 Flash (MoE) needs about 12.4 GB at 4K context at its smallest quantization. A NVIDIA H100 SXM (80GB) has 80.0 GB.

Yes — GLM-4.7 Flash (MoE) runs on a NVIDIA H100 SXM (80GB) at FP16

Yes — it runs great.

Runs great

Best fit: GLM-4.7 Flash (MoE) at FP16 · 59.9 GB weights · 191–286 tok/s on a NVIDIA H100 SXM (80GB).

Arena Text Overall · style-controlled

1,365FP16 untested

glm-4.7-flash · published configuration reference · FP16 not tested

Arena Text Overall (style-controlled), exact published entry glm-4.7-flash, 2026-10-08: reference rating 1,364.7. Published confidence bounds 1,359–1,370.4. 12,020 votes. Published glm-4.7-flash 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: 60.9 GB; Weights + KV cache + runtime overhead
Estimated generation: 191–286 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.

GLM-4.7 Flash (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	11.3 GB	12.4 GB	305–458 tok/s	Runs great
Q3_K_M	14.6 GB	15.6 GB	294–440 tok/s	Runs great
Q4_K_M	18.3 GB	19.3 GB	281–422 tok/s	Runs great
Q5_K_M	21.4 GB	22.4 GB	272–407 tok/s	Runs great
Q6_K	24.7 GB	25.7 GB	262–393 tok/s	Runs great
Q8_0	31.8 GB	32.9 GB	244–366 tok/s	Runs great
FP16	59.9 GB	60.9 GB	191–286 tok/s	Runs great

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