Can the GeForce RTX 4090 (used) run Gemma 4 31B IT?
Fits comfortably at Q4_K_M.
Gemma 4 31B IT is 31.3B parameters. At Q4_K_M the weights are about 17.5 GiB; with the 1.5 GiB runtime reserve that is 19.0 GiB against the card's 24GB, leaving about 5.0 GiB for context.
All three quants
24GB card| Quant | Weights | With reserve | Verdict | Headroom |
|---|---|---|---|---|
| Q4_K_Mthe everyday quant | 17.5 GiB | 19.0 GiB | Fits comfortably | 5.0 GiB |
| Q8_0near-lossless | 30.9 GiB | 32.4 GiB | Only with CPU offload | short 8.4 GiB |
| FP16full weights | 58.3 GiB | 59.8 GiB | Does not fit | short 35.8 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 4090 (used) clears Gemma 4 31B IT at Q4_K_M. Live listings below; this page was rebuilt 2026-08-23.
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About the model
Gemma 4 31B IT by Google: 262,144-token native context, text + vision, released 2026 under the Apache-2.0. Model card → · Hosted pricing on PicksByModel →