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August 23, 2026No. 113
Home / Will it run? / GLM-4.7-Flash / GeForce RTX 3090 (used)
GeForce RTX 3090 (used) · 24GB GDDR6X

Can the GeForce RTX 3090 (used) run GLM-4.7-Flash?

Fits comfortably at Q4_K_M.

GLM-4.7-Flash is 30B parameters (MoE; all experts resident). At Q4_K_M the weights are about 16.8 GiB; with the 1.5 GiB runtime reserve that is 18.3 GiB against the card's 24GB, leaving about 5.7 GiB for context.

All three quants

24GB card
QuantWeightsWith reserveVerdictHeadroom
Q4_K_Mthe everyday quant16.8 GiB18.3 GiBFits comfortably5.7 GiB
Q8_0near-lossless29.6 GiB31.1 GiBOnly with CPU offloadshort 7.1 GiB
FP16full weights55.9 GiB57.4 GiBDoes not fitshort 33.4 GiB

Verdict rules: fits comfortably when weights plus reserve sit within 85% of VRAM; tight when they fit with little left for context; CPU offload when they exceed VRAM by up to 2x (runs, slowly, with layers in system RAM); no beyond that. The KV cache per token depends on the model's architecture and is not modelled here.

Good match. Get the card.

The GeForce RTX 3090 (used) clears GLM-4.7-Flash at Q4_K_M. Live listings below; this page was rebuilt 2026-08-23.

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About the model

GLM-4.7-Flash by Z.ai (Zhipu): 202,752-token native context, text, released 2026 under the MIT. Model card → · Hosted pricing on PicksByModel →

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