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Can the NVIDIA RTX 3080 10GB run Gemma 2 9B?

RTX 3080 10GB × Gemma 2 9B8K context
YesRuns fully on the GPU
Memory at Q5_K_M9.3 GB of 10 GB
Weights 6.6 GBKV cache 2.1 GBRuntime 0.6 GB
QuantQ5_K_MVery good
Speed~69tokens 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 3080 10GB can run Gemma 2 9B fully in VRAM at Q5_K_M (very good), using about 9.3 GB of the 10 GB available, at roughly 69 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 Q5_K_M, which is very good: pick that GGUF in LM Studio or from Hugging Face.

New to this? Step-by-step setup for the RTX 3080 10GB

Run it in the cloud

No NVIDIA RTX 3080 10GB? 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 10 GB the NVIDIA RTX 3080 10GB can use.

QuantQualityMemoryFits?Speed
FP16Full quality21.2 GBToo big—
Q8_0Near-lossless12.5 GBToo big—
Q6_KExcellent10.3 GBToo big—
Q5_K_MVery good9.3 GBFits~69 tok/s
Q4_K_MGood, most popular8.3 GBFits~81 tok/s
Q3_K_MNoticeably degraded7.2 GBFits~101 tok/s
Q2_KHeavily degraded6.2 GBFits~132 tok/s

Measured speed from real RTX 3080 10GB owners

Tokens per second that people measured on their own NVIDIA RTX 3080 10GB, next to our estimate.

No one has measured Gemma 2 9B on the NVIDIA RTX 3080 10GB yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an RTX 3080 10GB? 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 3080 10GB

Frequently asked questions

Can NVIDIA RTX 3080 10GB run Gemma 2 9B?

Yes. The NVIDIA RTX 3080 10GB can run Gemma 2 9B fully in VRAM at Q5_K_M (very good), using about 9.3 GB of the 10 GB available, at roughly 69 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 3080 10GB?

Roughly 69 tokens per second at Q5_K_M, estimated from the NVIDIA RTX 3080 10GB's 760 GB/s memory bandwidth.