Can the GeForce RTX 4090 (used) run Gemma 3 27B IT?
Fits comfortably at Q4_K_M.
Gemma 3 27B IT is 27.4B parameters. At Q4_K_M the weights are about 15.3 GiB; with the 1.5 GiB runtime reserve that is 16.8 GiB against the card's 24GB, leaving about 7.2 GiB for context.
All three quants
24GB card| Quant | Weights | With reserve | Verdict | Headroom |
|---|---|---|---|---|
| Q4_K_Mthe everyday quant | 15.3 GiB | 16.8 GiB | Fits comfortably | 7.2 GiB |
| Q8_0near-lossless | 27.0 GiB | 28.5 GiB | Only with CPU offload | short 4.5 GiB |
| FP16full weights | 51.0 GiB | 52.5 GiB | Does not fit | short 28.5 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 3 27B IT at Q4_K_M. Live listings below; this page was rebuilt 2026-08-23.
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About the model
Gemma 3 27B IT by Google: 131,072-token native context, text + vision, released 2025 under the Gemma Terms of Use. Model card → · Hosted pricing on PicksByModel →