Can the NVIDIA RTX 5070 Ti run Gemma 2 9B?
- FP16
- Q8_0
- Q6_K
- Q5_K_M
- Q4_K_M
- Q3_K_M
- Q2_K
Yes. The NVIDIA RTX 5070 Ti can run Gemma 2 9B fully in VRAM at Q8_0 (near-lossless), using about 12.5 GB of the 16 GB available, at roughly 55 tokens/second.
Run it with Ollama
With Ollama installed, one command downloads and starts Gemma 2 9B:
ollama run gemma2:9bOllama's default download is Q4_K_M (about 8.3 GB here). You have room for Q8_0, which is near-lossless: pick that GGUF in LM Studio or from Hugging Face.
New to this? Step-by-step setup for the RTX 5070 Ti
Run it in the cloud
No NVIDIA RTX 5070 Ti? Run Gemma 2 9B in the cloud.
Rent a cloud GPU by the hour. No upfront cost, stop any time.
Memory needed by quantization
At 8,192 tokens of context. The black line marks the 16 GB the NVIDIA RTX 5070 Ti can use.
| Quant | Quality | Memory | Fits? | Speed | |
|---|---|---|---|---|---|
| FP16 | Full quality | 21.2 GB | Too big | — | |
| Q8_0 | Near-lossless | 12.5 GB | Fits | ~55 tok/s | |
| Q6_K | Excellent | 10.3 GB | Fits | ~71 tok/s | |
| Q5_K_M | Very good | 9.3 GB | Fits | ~82 tok/s | |
| Q4_K_M | Good, most popular | 8.3 GB | Fits | ~96 tok/s | |
| Q3_K_M | Noticeably degraded | 7.2 GB | Fits | ~119 tok/s | |
| Q2_K | Heavily degraded | 6.2 GB | Fits | ~155 tok/s |
Measured speed from real RTX 5070 Ti owners
Tokens per second that people measured on their own NVIDIA RTX 5070 Ti, next to our estimate.
No one has measured Gemma 2 9B on the NVIDIA RTX 5070 Ti yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.
Have an RTX 5070 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 5070 Ti run Gemma 2 9B?
Yes. The NVIDIA RTX 5070 Ti can run Gemma 2 9B fully in VRAM at Q8_0 (near-lossless), using about 12.5 GB of the 16 GB available, at roughly 55 tokens/second.
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 5070 Ti?
Roughly 55 tokens per second at Q8_0, estimated from the NVIDIA RTX 5070 Ti's 896 GB/s memory bandwidth.