Can the GeForce RTX 4090 (used) run Gemma 3 1B IT?
Fits comfortably at Q4_K_M.
Gemma 3 1B IT is 1B parameters. At Q4_K_M the weights are about 0.6 GiB; with the 1.5 GiB runtime reserve that is 2.1 GiB against the card's 24GB, leaving about 21.9 GiB for context.
All three quants
24GB card| Quant | Weights | With reserve | Verdict | Headroom |
|---|---|---|---|---|
| Q4_K_Mthe everyday quant | 0.6 GiB | 2.1 GiB | Fits comfortably | 21.9 GiB |
| Q8_0near-lossless | 1.0 GiB | 2.5 GiB | Fits comfortably | 21.5 GiB |
| FP16full weights | 1.9 GiB | 3.4 GiB | Fits comfortably | 20.6 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 1B 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 1B IT by Google: 32,768-token native context, text, released 2025 under the Gemma Terms of Use. Model card →