What GPU do I need to run unsloth/GLM-4.7-Flash?

31.2B parameters, published in BF16. View on Hugging Face

31.2B
Parameters
BF16
Native precision
Glm4MoeLiteForCausalLM
Architecture
text-generation
Pipeline

GLM-4.7-Flash is published by unsloth on Hugging Face, with 270,316 downloads and 17 likes to date. It's a Glm4MoeLiteForCausalLM model built for text-generation, published natively in BF16.

VRAM required & cheapest live GPU fit

Required VRAM = weight size at each precision, plus a fixed overhead for KV-cache, activations, and fragmentation. Full formula and assumptions: methodology.

PrecisionWeight sizeRequired VRAMCheapest live fitGPUs neededEst. $/hr (full fit)
BF1658.2 GB69.8 GBA1001$1.31/hr
cheaper alt.RTX A50003$0.528/hr
FP8 (quantized)29.1 GB34.9 GBRTX 40901$0.441/hr
cheaper alt.RTX 5060 Ti3$0.330/hr
INT4 (quantized)14.5 GB17.4 GBRTX A50001$0.176/hr

A GPU is only matched to a row if its hardware supports that precision, and the primary recommendation is always a single-GPU fit when one exists.

INT4 requires a quantized checkpoint actually published for this model, check its Hugging Face page before relying on this row.

Cheapest way to run GLM-4.7-Flash at its published (BF16) precision: 1× A100, at $1.31/hr per GPU ($1.31/hr total). Quantizing to FP8 or INT4 (rows above) can cost less, but requires a compatible quantized checkpoint to exist for this model.

GLM-4.7-Flash: common questions

Can GLM-4.7-Flash run on a single GPU?

Yes, but not on a desktop card. At BF16 it needs 69.8 GB of VRAM, more than a single 32 GB desktop card holds. The cheapest live single-card fit is a 80.0 GB A100 at $1.31/hr.

What is the least VRAM GLM-4.7-Flash can run in?

17.4 GB, at INT4 (quantized), which fits a 24 GB card, against 69.8 GB at BF16. That row assumes an INT4 checkpoint has actually been published for this model, so check its Hugging Face page before planning around it.

Does quantizing GLM-4.7-Flash lower the GPU bill?

Yes. At BF16 the cheapest live fit is one A100 at $1.31/hr. At INT4 (quantized) it drops to one RTX A5000 at $0.176/hr, provided a quantized checkpoint exists for it.

Weight-to-VRAM math, the fit rules, and how live prices are normalized: full methodology.

More GLM-4.5 models

All 12 GLM-4.5 models: VRAM and GPU requirements

Related reading: A100 pricing and specs, and The best GPUs for AI, ranked.

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