NVIDIA · 24 GB GDDR6X · 1008 GB/s bandwidth ·
Z.ai · 31.2B (active 3B) · MoE · model ctx up to 198K
Yes — the RTX 4090 24GB (24 GB GDDR6X) can run GLM-4.7-Flash. At Q4 with the default 8K context it needs ≈ 18.76 GB VRAM (weights 17.16 GB + KV cache 0.6 GB + 1 GB runtime overhead), which fits within 24 GB. Decode at Q4/8K: ≈ 213.8 tok/s (estimated, batch 1). FP16 needs ≈ 64.0 GB — does not fit on this card. Estimates come from memory-bandwidth math; rows tagged measured override estimates. Relative ranking is more reliable than absolute tok/s. Methodology.
Fit & speed by quant and context
Quant
Context
VRAM needed
Fits?
tok/s (decode)
Q4
4K
18.46 GB
Yes
213.8est.
Q4
8K default
18.76 GB
Yes
213.8est.
Q4
32K
20.56 GB
Yes
213.8est.
FP16
4K
63.7 GB
No
23.8est.
FP16
8K default
64.0 GB
No
23.6est.
FP16
32K
65.8 GB
No
22.4est.
Fits = weights + KV(ctx) + 1 GB overhead ≤ 95% of VRAM. Measured
anchors are context-agnostic; the fit verdict is recomputed per context. A missing tok/s
means the model is far beyond this card (offload-only territory).