Can the GeForce RTX 3090 (used) run Gemma 3 12B IT?
Fits comfortably at Q4_K_M.
Gemma 3 12B IT is 12.2B parameters. At Q4_K_M the weights are about 6.8 GiB; with the 1.5 GiB runtime reserve that is 8.3 GiB against the card's 24GB, leaving about 15.7 GiB for context.
All three quants
24GB card| Quant | Weights | With reserve | Verdict | Headroom |
|---|---|---|---|---|
| Q4_K_Mthe everyday quant | 6.8 GiB | 8.3 GiB | Fits comfortably | 15.7 GiB |
| Q8_0near-lossless | 12.0 GiB | 13.5 GiB | Fits comfortably | 10.5 GiB |
| FP16full weights | 22.7 GiB | 24.2 GiB | Only with CPU offload | short 0.2 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 3090 (used) clears Gemma 3 12B IT at Q4_K_M and at Q8_0. Live listings below; this page was rebuilt 2026-08-23.
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About the model
Gemma 3 12B IT by Google: 131,072-token native context, text + vision, released 2025 under the Gemma Terms of Use. Model card → · Hosted pricing on PicksByModel →