Can the NVIDIA RTX 3060 Ti run Gemma 2 9B?
- FP16
- Q8_0
- Q6_K
- Q5_K_M
- Q4_K_M
- Q3_K_M
- Q2_K
Only just. Gemma 2 9B fits on the NVIDIA RTX 3060 Ti at Q3_K_M, which costs noticeable quality. Expect about 60 tokens/second. A card with more memory is a better experience.
Run it with Ollama
Ollama's default gemma2:9b download is Q4_K_M, which needs about 8.3 GB, more than the 8 GB available. Download the Q3_K_M GGUF instead (LM Studio lists quants per model), or try a smaller context length.
New to this? Step-by-step setup for the RTX 3060 Ti
Run it in the cloud
Want full quality? Run Gemma 2 9B on a bigger rented GPU.
Rent a cloud GPU by the hour. No upfront cost, stop any time. Not sure whether to rent or buy? Compare the cost.
Memory needed by quantization
At 8,192 tokens of context. The black line marks the 8 GB the NVIDIA RTX 3060 Ti can use.
| Quant | Quality | Memory | Fits? | Speed | |
|---|---|---|---|---|---|
| FP16 | Full quality | 21.2 GB | Too big | — | |
| Q8_0 | Near-lossless | 12.5 GB | Too big | — | |
| Q6_K | Excellent | 10.3 GB | Too big | — | |
| Q5_K_M | Very good | 9.3 GB | Too big | — | |
| Q4_K_M | Good, most popular | 8.3 GB | Too big | — | |
| Q3_K_M | Noticeably degraded | 7.2 GB | Fits | ~60 tok/s | |
| Q2_K | Heavily degraded | 6.2 GB | Fits | ~78 tok/s |
Measured speed from real RTX 3060 Ti owners
Tokens per second that people measured on their own NVIDIA RTX 3060 Ti, next to our estimate.
No one has measured Gemma 2 9B on the NVIDIA RTX 3060 Ti yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.
Have an RTX 3060 Ti? Add your real speed
One command times Gemma 2 9B in your own Ollama, shows you exactly what it would send, and asks before sending anything. No sign-up, no personal data.
macOS and Linux
curl -fsSL https://gpufit.dev/bench.sh | sh -s -- gemma2:9bWindows (PowerShell)
$env:GPUFIT_MODEL="gemma2:9b"; irm https://gpufit.dev/bench.ps1 | iexGPUs that run Gemma 2 9B comfortably
Frequently asked questions
Can NVIDIA RTX 3060 Ti run Gemma 2 9B?
Only just. Gemma 2 9B fits on the NVIDIA RTX 3060 Ti at Q3_K_M, which costs noticeable quality. Expect about 60 tokens/second. A card with more memory is a better experience.
How much VRAM does Gemma 2 9B need?
About 8.3 GB at Q4_K_M with 8,192 tokens of context, and about 21.2 GB at full FP16 precision.
How fast is Gemma 2 9B on the NVIDIA RTX 3060 Ti?
Roughly 60 tokens per second at Q3_K_M, estimated from the NVIDIA RTX 3060 Ti's 448 GB/s memory bandwidth.