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Can the NVIDIA RTX 3090 Ti run Gemma 4 12B?

RTX 3090 Ti × Gemma 4 12B8K context
YesRuns fully on the GPU
Memory at Q8_013.7 GB of 24 GB
Weights 12.7 GBKV cache 0.4 GBRuntime 0.6 GB
QuantQ8_0Near-lossless
Speed~48tokens per second
Max context256Kthe 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 3090 Ti can run Gemma 4 12B fully in VRAM at Q8_0 (near-lossless), using about 13.7 GB of the 24 GB available, at roughly 48 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 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 3090 Ti

Run it in the cloud

No NVIDIA RTX 3090 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 24 GB the NVIDIA RTX 3090 Ti can use.

QuantQualityMemoryFits?Speed
FP16Full quality24.9 GBToo big—
Q8_0Near-lossless13.7 GBFits~48 tok/s
Q6_KExcellent10.8 GBFits~62 tok/s
Q5_K_MVery good9.5 GBFits~71 tok/s
Q4_K_MGood, most popular8.3 GBFits~83 tok/s
Q3_K_MNoticeably degraded6.8 GBFits~103 tok/s
Q2_KHeavily degraded5.5 GBFits~135 tok/s

Measured speed from real RTX 3090 Ti owners

Tokens per second that people measured on their own NVIDIA RTX 3090 Ti, next to our estimate.

No one has measured Gemma 4 12B on the NVIDIA RTX 3090 Ti yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an RTX 3090 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 3090 Ti

Frequently asked questions

Can NVIDIA RTX 3090 Ti run Gemma 4 12B?

Yes. The NVIDIA RTX 3090 Ti can run Gemma 4 12B fully in VRAM at Q8_0 (near-lossless), using about 13.7 GB of the 24 GB available, at roughly 48 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 3090 Ti?

Roughly 48 tokens per second at Q8_0, estimated from the NVIDIA RTX 3090 Ti's 1008 GB/s memory bandwidth.