Can the NVIDIA RTX 4060 run Gemma 3 12B?
No
No. Even at Q4_K_M, Gemma 3 12B needs about 11.2 GB, but the NVIDIA RTX 4060 has 8 GB usable. You could offload some layers to system RAM, but it will be very slow.
Try other context lengths in the calculator →Run it in the cloud
Too big for the NVIDIA RTX 4060? Run Gemma 3 12B on a rented GPU instead.
Rent a cloud GPU by the hour. No upfront cost, cancel any time.
Memory needed by quantization
At 8,192 tokens of context.
| Quant | Quality | Memory | Fits? | Speed |
|---|---|---|---|---|
| FP16 | Full quality | 28.2 GB | Too big | — |
| Q8_0 | Near-lossless | 16.8 GB | Too big | — |
| Q6_K | Excellent | 13.8 GB | Too big | — |
| Q5_K_M | Very good | 12.5 GB | Too big | — |
| Q4_K_M | Good, most popular | 11.2 GB | Too big | — |
| Q3_K_M | Noticeably degraded | 9.8 GB | Too big | — |
| Q2_K | Heavily degraded | 8.4 GB | Too big | — |
How to run Gemma 3 12B anyway
On a rented cloud GPU with enough memory, the same command you'd use locally works:
ollama run gemma3:12b
At Q4_K_M it needs about 11.2 GB, so pick a GPU with at least 16 GB.
GPUs that run Gemma 3 12B comfortably
- NVIDIA RTX 3060 12GB
- NVIDIA RTX 4070 (12 GB)
- NVIDIA RTX 5070 (12 GB)
- NVIDIA RTX 4060 Ti 16GB
- NVIDIA RTX 5060 Ti 16GB