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Can the NVIDIA RTX 3080 Ti run Gemma 4 12B?

RTX 3080 Ti × Gemma 4 12B8K context
YesRuns fully on the GPU
Memory at Q6_K10.8 GB of 12 GB
Weights 9.8 GBKV cache 0.4 GBRuntime 0.6 GB
QuantQ6_KExcellent
Speed~56tokens per second
Max context149Ktokens that fit at Q6_K
  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 Ti can run Gemma 4 12B fully in VRAM at Q6_K (excellent), using about 10.8 GB of the 12 GB available, at roughly 56 tokens/second.

Try other context lengths

Run it with Ollama

With Ollama installed, one command downloads and starts Gemma 4 12B:

ollama run gemma4:12b

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 3080 Ti

Run it in the cloud

No NVIDIA RTX 3080 Ti? Run Gemma 4 12B 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 3080 Ti can use.

QuantQualityMemoryFits?Speed
FP16Full quality24.9 GBToo big—
Q8_0Near-lossless13.7 GBToo big—
Q6_KExcellent10.8 GBFits~56 tok/s
Q5_K_MVery good9.5 GBFits~64 tok/s
Q4_K_MGood, most popular8.3 GBFits~75 tok/s
Q3_K_MNoticeably degraded6.8 GBFits~94 tok/s
Q2_KHeavily degraded5.5 GBFits~122 tok/s

Measured speed from real RTX 3080 Ti owners

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

No one has measured Gemma 4 12B on the NVIDIA RTX 3080 Ti yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an RTX 3080 Ti? Add your real speed

One command times Gemma 4 12B 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 -- gemma4:12b

Windows (PowerShell)

$env:GPUFIT_MODEL="gemma4:12b"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run Gemma 4 12B comfortably

Models that run well on the NVIDIA RTX 3080 Ti

Frequently asked questions

Can NVIDIA RTX 3080 Ti run Gemma 4 12B?

Yes. The NVIDIA RTX 3080 Ti can run Gemma 4 12B fully in VRAM at Q6_K (excellent), using about 10.8 GB of the 12 GB available, at roughly 56 tokens/second.

How much VRAM does Gemma 4 12B need?

About 8.3 GB at Q4_K_M with 8,192 tokens of context, and about 24.9 GB at full FP16 precision.

How fast is Gemma 4 12B on the NVIDIA RTX 3080 Ti?

Roughly 56 tokens per second at Q6_K, estimated from the NVIDIA RTX 3080 Ti's 912 GB/s memory bandwidth.