Can the GeForce RTX 4090 (used) run GLM-4.5-Air?
Does not fit at Q4_K_M.
GLM-4.5-Air is 106B parameters (MoE; all experts resident). At Q4_K_M the weights are about 59.2 GiB; with the 1.5 GiB runtime reserve that is 60.7 GiB against the card's 24GB, about 36.7 GiB more than the card has.
All three quants
24GB card| Quant | Weights | With reserve | Verdict | Headroom |
|---|---|---|---|---|
| Q4_K_Mthe everyday quant | 59.2 GiB | 60.7 GiB | Does not fit | short 36.7 GiB |
| Q8_0near-lossless | 104.6 GiB | 106.1 GiB | Does not fit | short 82.1 GiB |
| FP16full weights | 197.4 GiB | 198.9 GiB | Does not fit | short 174.9 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.
Not this card. These fit it comfortably at Q4.
Nothing in the consumer catalog fits GLM-4.5-Air at Q4 on a single card; this is multi-GPU or datacenter territory, or a job for hosted inference (see PicksByModel for per-token pricing).
What the GeForce RTX 4090 (used) does run well → · GLM-4.5-Air on every card →
About the model
GLM-4.5-Air by Z.ai (Zhipu): 131,072-token native context, text, released 2025 under the MIT. Model card → · Hosted pricing on PicksByModel →