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Can the NVIDIA RTX 5070 run Gemma 2 9B?

RTX 5070 × Gemma 2 9B8K context
YesRuns fully on the GPU
Memory at Q6_K10.3 GB of 12 GB
Weights 7.6 GBKV cache 2.1 GBRuntime 0.6 GB
QuantQ6_KExcellent
Speed~53tokens per second
Max context8Kthe model's full window
  1. FP16
  2. Q8_0
  3. Q6_K
  4. Q5_K_M
  5. Q4_K_M
  6. Q3_K_M
  7. Q2_K

Yes. The NVIDIA RTX 5070 can run Gemma 2 9B fully in VRAM at Q6_K (excellent), using about 10.3 GB of the 12 GB available, at roughly 53 tokens/second.

Try other context lengths

Run it with Ollama

With Ollama installed, one command downloads and starts Gemma 2 9B:

ollama run gemma2:9b

Ollama's default download is Q4_K_M (about 8.3 GB here). You have room for Q6_K, which is excellent: pick that GGUF in LM Studio or from Hugging Face.

New to this? Step-by-step setup for the RTX 5070

Run it in the cloud

No NVIDIA RTX 5070? Run Gemma 2 9B in the cloud.

Rent a cloud GPU by the hour. No upfront cost, stop any time.

Rent a GPU on RunPodRent a GPU on Vast.ai

Memory needed by quantization

At 8,192 tokens of context. The black line marks the 12 GB the NVIDIA RTX 5070 can use.

QuantQualityMemoryFits?Speed
FP16Full quality21.2 GBToo big—
Q8_0Near-lossless12.5 GBToo big—
Q6_KExcellent10.3 GBFits~53 tok/s
Q5_K_MVery good9.3 GBFits~61 tok/s
Q4_K_MGood, most popular8.3 GBFits~72 tok/s
Q3_K_MNoticeably degraded7.2 GBFits~89 tok/s
Q2_KHeavily degraded6.2 GBFits~116 tok/s

Measured speed from real RTX 5070 owners

Tokens per second that people measured on their own NVIDIA RTX 5070, next to our estimate.

No one has measured Gemma 2 9B on the NVIDIA RTX 5070 yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an RTX 5070? 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 -- gemma2:9b

Windows (PowerShell)

$env:GPUFIT_MODEL="gemma2:9b"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run Gemma 2 9B comfortably

Models that run well on the NVIDIA RTX 5070

Frequently asked questions

Can NVIDIA RTX 5070 run Gemma 2 9B?

Yes. The NVIDIA RTX 5070 can run Gemma 2 9B fully in VRAM at Q6_K (excellent), using about 10.3 GB of the 12 GB available, at roughly 53 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?

Roughly 53 tokens per second at Q6_K, estimated from the NVIDIA RTX 5070's 672 GB/s memory bandwidth.