Home / Can I run it? / Gemma 3 12B / Gemma 3 12B on an RTX 4070 Ti Super

Yes, but it is tight. Gemma 3 12B at Q8_0 needs about 15.9 GB, and the GeForce RTX 4070 Ti Super has 16.0 GB usable at a ~4k context.

Can I run Gemma 3 12B on an RTX 4070 Ti Super?

Gemma 3 12B at Q8_0 needs about 15.9 GB, and the GeForce RTX 4070 Ti Super has 16.0 GB usable. That figure is 16 GB of VRAM on the spec sheet, of which 16.0 GB is usable for weights and cache, at 672 GB/s memory bandwidth. Google’s mid-small Gemma 3, sized for 12–16 GB cards that want more than a 4B or 8B. These are estimates from our formula, not measured benchmarks.

Quant that fits

Q8_0 Fits, short context only

Memory needed

15.9 GB at Q8_0, ~4k context

Usable VRAM

16.0 GB of 16 GB VRAM

Est. tokens/sec

31–44 estimate

gemma-3-12b-it · GeForce RTX 4070 Ti Super · Everything this machine runs · Q4 vs Q8 vs FP16

Memory at each quant

Estimated tokens per second

Estimate: 31–44 tokens/sec at Q8_0. This is a bandwidth-derived range, not a bench. Efficiency is a 60–85% GPU band from How we calculate.

Context headroom

We do not have a published KV config for this model, so the memory need is the ~4k-context estimate only. Use the VRAM calculator to explore longer chats.

What to do instead

• Run Qwen3-8B instead (6.7 GB at Q4). It is a different model, not a drop-in, but it does fit this machine.
• Keep context short, close other GPU work, and avoid a higher quant. The VRAM calculator shows how the KV cache grows.
• See the best GPU for this model family and the gemma-3-12b-it model page.

Other hardware for Gemma 3 12B

• Gemma 3 12B on an RTX 3060 12GBFits
• Gemma 3 12B on an RTX 3070 TiWon’t fit
• Gemma 3 12B on an RTX 3080Tight
• Gemma 3 12B on an RTX 4060 Ti 16GBTight
• Gemma 3 12B on an RTX 4090Fits
• Gemma 3 12B on an RTX 5070 TiTight

Other models on an RTX 4070 Ti Super

• Qwen3-32B on an RTX 4070 Ti SuperWon’t fit
• Qwen3-30B-A3B on an RTX 4070 Ti SuperWon’t fit
• Qwen3.8-27B on an RTX 4070 Ti SuperWon’t fit
• Gemma 3 27B on an RTX 4070 Ti SuperWon’t fit
• Gemma 4 31B on an RTX 4070 Ti SuperWon’t fit
• gpt-oss-20b on an RTX 4070 Ti SuperTight