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Can the NVIDIA RTX 3080 Ti run Gemma 3 4B?

RTX 3080 Ti × Gemma 3 4B8K context
YesRuns fully on the GPU
Memory at FP169.5 GB of 12 GB
Weights 8.6 GBKV cache 0.3 GBRuntime 0.6 GB
QuantFP16Full quality
Speed~64tokens per second
Max context127Ktokens that fit at FP16
  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 3 4B fully in VRAM at FP16 (full quality), using about 9.5 GB of the 12 GB available, at roughly 64 tokens/second.

Try other context lengths

Run it with Ollama

With Ollama installed, one command downloads and starts Gemma 3 4B:

ollama run gemma3:4b

Ollama's default download is Q4_K_M (about 3.5 GB here). You have room for FP16, which is full quality: 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 3 4B 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 quality9.5 GBFits~64 tok/s
Q8_0Near-lossless5.5 GBFits~120 tok/s
Q6_KExcellent4.4 GBFits~155 tok/s
Q5_K_MVery good3.9 GBFits~179 tok/s
Q4_K_MGood, most popular3.5 GBFits~210 tok/s
Q3_K_MNoticeably degraded3 GBFits~260 tok/s
Q2_KHeavily degraded2.5 GBFits~339 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 3 4B 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 3 4B 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 -- gemma3:4b

Windows (PowerShell)

$env:GPUFIT_MODEL="gemma3:4b"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run Gemma 3 4B comfortably

Models that run well on the NVIDIA RTX 3080 Ti

Frequently asked questions

Can NVIDIA RTX 3080 Ti run Gemma 3 4B?

Yes. The NVIDIA RTX 3080 Ti can run Gemma 3 4B fully in VRAM at FP16 (full quality), using about 9.5 GB of the 12 GB available, at roughly 64 tokens/second.

How much VRAM does Gemma 3 4B need?

About 3.5 GB at Q4_K_M with 8,192 tokens of context, and about 9.5 GB at full FP16 precision.

How fast is Gemma 3 4B on the NVIDIA RTX 3080 Ti?

Roughly 64 tokens per second at FP16, estimated from the NVIDIA RTX 3080 Ti's 912 GB/s memory bandwidth.