# Can I run Gemma 2 9B on Nvidia GeForce RTX 3060 (12GB)?

> **Yes, it runs.** Runs at Q4_K_M using ~7.3 GB of ~11 GB usable.

Last validated: 2026-06-15.

## Memory math
- Gemma 2 9B: 9B; Q4_K_M weighs 5.76 GB on disk.
- At Q4_K_M with a 4k context it needs ~7.3 GB (weights + KV cache + ~0.8 GB runtime overhead, ±15% with context length).
- Nvidia GeForce RTX 3060 (12GB): 12 GB vram, ~11 GB usable for model weights.
- Headroom: ~3.7 GB.

## How to run
Recommended quant: Q4_K_M. Best tool on Windows: LM Studio.

```sh
ollama run gemma2:9b
```

## Run Gemma 2 9B on other devices
- [Nvidia GeForce RTX 4070 (12GB)](https://localmodel.run/can-i-run/gemma-2-9b/nvidia-rtx-4070-12gb)
- [Samsung Galaxy S24 Ultra](https://localmodel.run/can-i-run/gemma-2-9b/samsung-s24-ultra)
- [Generic Android Phone (12GB RAM)](https://localmodel.run/can-i-run/gemma-2-9b/android-generic-12gb)
- [iPhone 17 Pro](https://localmodel.run/can-i-run/gemma-2-9b/iphone-17-pro)
- [iPhone Air](https://localmodel.run/can-i-run/gemma-2-9b/iphone-air)
- [Apple M2 (16GB)](https://localmodel.run/can-i-run/gemma-2-9b/apple-m2-16gb)

## Other models that run on Nvidia GeForce RTX 3060 (12GB)
- [Phi-4 14B (14B)](https://localmodel.run/can-i-run/phi-4-14b/nvidia-rtx-3060-12gb)
- [Qwen2.5 14B (14B)](https://localmodel.run/can-i-run/qwen2.5-14b/nvidia-rtx-3060-12gb)
- [Qwen3 14B (14B)](https://localmodel.run/can-i-run/qwen3-14b/nvidia-rtx-3060-12gb)
- [DeepSeek-R1-Distill-Qwen 14B (14B)](https://localmodel.run/can-i-run/deepseek-r1-distill-qwen-14b/nvidia-rtx-3060-12gb)
- [Qwen2.5 Coder 14B (14B)](https://localmodel.run/can-i-run/qwen2.5-coder-14b/nvidia-rtx-3060-12gb)
- [Mistral Nemo 12B (12.2B)](https://localmodel.run/can-i-run/mistral-nemo-12b/nvidia-rtx-3060-12gb)

Estimate, not a guarantee. Sources: https://ollama.com/library/gemma2, https://ollama.com/library/gemma2/tags, https://huggingface.co/bartowski/gemma-2-9b-it-GGUF, https://lmarena.ai/leaderboard.
More: https://localmodel.run/can-i-run/gemma-2-9b/nvidia-rtx-3060-12gb