Home / Can I run it? / Gemma 3 4B / Gemma 3 4B on an RTX 3070 Ti

Yes. Gemma 3 4B at Q8_0 needs about 6.3 GB, and the GeForce RTX 3070 Ti has 8.0 GB usable at a ~4k context.

Can I run Gemma 3 4B on an RTX 3070 Ti?

Gemma 3 4B at Q8_0 needs about 6.3 GB, and the GeForce RTX 3070 Ti has 8.0 GB usable. That figure is 8 GB of VRAM on the spec sheet, of which 8.0 GB is usable for weights and cache, at 608 GB/s memory bandwidth. Google’s small Gemma 3 instruct model, a good low-VRAM option with a different flavor from Llama 3.2 3B. These are estimates from our formula, not measured benchmarks.

Quant that fits

Q8_0 Fits with headroom

Memory needed

6.3 GB at Q8_0, ~4k context

Usable VRAM

8.0 GB of 8 GB VRAM

Est. tokens/sec

80–113 estimate

gemma-3-4b-it · GeForce RTX 3070 Ti · Everything this machine runs · Q4 vs Q8 vs FP16

Memory at each quant

Estimated tokens per second

Estimate: 80–113 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

• See the best GPU for this model family and the gemma-3-4b-it model page.

Other hardware for Gemma 3 4B

• Gemma 3 4B on an RTX 3060 12GBTight
• Gemma 3 4B on an RTX 4060 Ti 16GBFits
• Gemma 3 4B on an RTX 4090Fits
• Gemma 3 4B on an Arc B580Tight
• Gemma 3 4B on a Mac mini 16GBTight

Other models on an RTX 3070 Ti

• Qwen3-32B on an RTX 3070 TiWon’t fit
• Qwen3-30B-A3B on an RTX 3070 TiWon’t fit
• Qwen3.8-27B on an RTX 3070 TiWon’t fit
• Gemma 3 27B on an RTX 3070 TiWon’t fit
• Gemma 4 31B on an RTX 3070 TiWon’t fit
• gpt-oss-20b on an RTX 3070 TiWon’t fit