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Can I run this LLM?

Can a NVIDIA A100 (80GB) run GLM-4.7 Flash (MoE)?

GLM · MIT · estimated for a 80.0 GB machine at 4K context.

Yes — it runs great.

Runs great

Best fit: GLM-4.7 Flash (MoE) at FP16 · 59.9 GB weights · 146–219 tok/s on a NVIDIA A100 (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
146–219 tok/s
Estimated first token
~0.3s

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 A100 (80GB), estimated at 4K context. Weights and total memory are shown separately.
QuantWeightsTotal memorySpeedFit
Q2_K11.3 GB12.4 GB276–414 tok/sRuns great
Q3_K_M14.6 GB15.6 GB260–390 tok/sRuns great
Q4_K_M18.3 GB19.3 GB244–367 tok/sRuns great
Q5_K_M21.4 GB22.4 GB233–349 tok/sRuns great
Q6_K24.7 GB25.7 GB221–332 tok/sRuns great
Q8_031.8 GB32.9 GB200–301 tok/sRuns great
FP1659.9 GB60.9 GB146–219 tok/sRuns great

Ran GLM-4.7 Flash (MoE) on a NVIDIA A100 (80GB)? Add your real numbers →