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October 7, 2026No. 158
Home / Will it run? / GLM-4.7-Flash / GeForce RTX 5060
GeForce RTX 5060 · 8GB GDDR7

Can the GeForce RTX 5060 run GLM-4.7-Flash?

Does not fit 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 8GB, about 10.3 GiB more than the card has.

All three quants

8GB card
QuantWeightsWith reserveVerdictHeadroom
Q4_K_Mthe everyday quant16.8 GiB18.3 GiBDoes not fitshort 10.3 GiB
Q8_0near-lossless29.6 GiB31.1 GiBDoes not fitshort 23.1 GiB
FP16full weights55.9 GiB57.4 GiBDoes not fitshort 49.4 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.

The numbers for this pairing

At Q4_K_M the weights take about 16.8 GiB, so with the 1.5 GiB runtime reserve it needs 18.3 GB: 10.3 GB more than the card's 8 GB.

No version of it fits entirely in this card's memory, so it would lean on system RAM and run far slower.

It is a mixture-of-experts model: about 3B of its 30B parameters work on each token, which helps speed, but all of them still have to fit in memory.

The cheapest card on our list that runs it comfortably at Q4 is the Radeon RX 7900 XTX at about $850, against about $410 for this card.

At about $410, this card costs roughly $51 per GB of VRAM.

Running it at its full 145 W board power for 4 hours a day would use about 17 kWh a month, about $3.20 at the US average residential rate of 18.4 cents per kWh (2026-05); real use sits below that ceiling.

Prices are the lowest current listings our tracker saw on Oct 7, 2026, since averages include premium variants; launch prices are marked where we have no listing.

Not this card. These fit it comfortably at Q4.

What the GeForce RTX 5060 does run well → · GLM-4.7-Flash on every card →

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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