# Can I run Gemma 3 4B on an RTX 3070 Ti? | What Can I Run AI?

> Yes. Gemma 3 4B at Q8_0 needs about 6.3 GB; RTX 3070 Ti has 8.0 GB usable. Estimated tokens/sec and context headroom.

Source: https://whatcanirunai.vercel.app/can-i-run/gemma-3-4b-it/rtx-3070-ti/

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**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](https://whatcanirunai.vercel.app/method/), 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](https://whatcanirunai.vercel.app/models/gemma-3-4b-it/) · [GeForce RTX 3070 Ti](https://whatcanirunai.vercel.app/hardware/rtx-3070-ti/) · [Everything this machine runs](https://whatcanirunai.vercel.app/what-can-i-run/rtx-3070-ti/) · [Q4 vs Q8 vs FP16](https://whatcanirunai.vercel.app/quantization/)

## Memory at each quant

| Quant    | Need vs 8.0 GB | Verdict       |
| -------- | -------------- | ------------- |
| Q4\_K\_M | 4.0 GB         | Q4Fits        |
| Q8\_0    | 6.3 GB         | Q8Fits        |
| FP16     | 10.9 GB        | FP16Won’t fit |

## 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](https://whatcanirunai.vercel.app/method/).

## 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](https://whatcanirunai.vercel.app/vram-calculator/) to explore longer chats.

## What to do instead

* See the [best GPU for this model family](https://whatcanirunai.vercel.app/best-gpu-for/gemma-3/) and the [gemma-3-4b-it model page](https://whatcanirunai.vercel.app/models/gemma-3-4b-it/).

## Other hardware for Gemma 3 4B

* [Gemma 3 4B on an RTX 3060 12GB](https://whatcanirunai.vercel.app/can-i-run/gemma-3-4b-it/rtx-3060-12gb/)Tight
* [Gemma 3 4B on an RTX 4060 Ti 16GB](https://whatcanirunai.vercel.app/can-i-run/gemma-3-4b-it/rtx-4060-ti-16gb/)Fits
* [Gemma 3 4B on an RTX 4090](https://whatcanirunai.vercel.app/can-i-run/gemma-3-4b-it/rtx-4090/)Fits
* [Gemma 3 4B on an Arc B580](https://whatcanirunai.vercel.app/can-i-run/gemma-3-4b-it/arc-b580/)Tight
* [Gemma 3 4B on a Mac mini 16GB](https://whatcanirunai.vercel.app/can-i-run/gemma-3-4b-it/mac-mini-m6-16/)Tight

## Other models on an RTX 3070 Ti

* [Qwen3-32B on an RTX 3070 Ti](https://whatcanirunai.vercel.app/can-i-run/qwen3-32b/rtx-3070-ti/)Won’t fit
* [Qwen3-30B-A3B on an RTX 3070 Ti](https://whatcanirunai.vercel.app/can-i-run/qwen3-30b-a3b/rtx-3070-ti/)Won’t fit
* [Qwen3.8-27B on an RTX 3070 Ti](https://whatcanirunai.vercel.app/can-i-run/qwen3.8-27b/rtx-3070-ti/)Won’t fit
* [Gemma 3 27B on an RTX 3070 Ti](https://whatcanirunai.vercel.app/can-i-run/gemma-3-27b-it/rtx-3070-ti/)Won’t fit
* [Gemma 4 31B on an RTX 3070 Ti](https://whatcanirunai.vercel.app/can-i-run/gemma-4-31b-it/rtx-3070-ti/)Won’t fit
* [gpt-oss-20b on an RTX 3070 Ti](https://whatcanirunai.vercel.app/can-i-run/gpt-oss-20b/rtx-3070-ti/)Won’t fit

## Quick answers

Can I run 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.

How much VRAM does Gemma 3 4B need?

About 4.0 GB at Q4\_K\_M, 6.3 GB at Q8\_0 and 10.9 GB at FP16, estimated for a \~4k context.

How fast is Gemma 3 4B on an RTX 3070 Ti?

Our estimate is 80–113 tokens per second at Q8\_0\. It is not a measured benchmark.

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