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Can the NVIDIA RTX 4080 Super run Gemma 3 1B?

RTX 4080 Super × Gemma 3 1B8K context
YesRuns fully on the GPU
Memory at FP162.6 GB of 16 GB
Weights 2 GBKV cache 0 GBRuntime 0.6 GB
QuantFP16Full quality
Speed~221tokens per second
Max context32Kthe 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 4080 Super can run Gemma 3 1B fully in VRAM at FP16 (full quality), using about 2.6 GB of the 16 GB available, at roughly 221 tokens/second.

Try other context lengths

Run it with Ollama

With Ollama installed, one command downloads and starts Gemma 3 1B:

ollama run gemma3:1b

Ollama's default download is Q4_K_M (about 1.3 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 4080 Super

Run it in the cloud

No NVIDIA RTX 4080 Super? Run Gemma 3 1B 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 16 GB the NVIDIA RTX 4080 Super can use.

QuantQualityMemoryFits?Speed
FP16Full quality2.6 GBFits~221 tok/s
Q8_0Near-lossless1.7 GBFits~416 tok/s
Q6_KExcellent1.5 GBFits~539 tok/s
Q5_K_MVery good1.4 GBFits~621 tok/s
Q4_K_MGood, most popular1.3 GBFits~728 tok/s
Q3_K_MNoticeably degraded1.1 GBFits~904 tok/s
Q2_KHeavily degraded1 GBFits~1178 tok/s

Measured speed from real RTX 4080 Super owners

Tokens per second that people measured on their own NVIDIA RTX 4080 Super, next to our estimate.

No one has measured Gemma 3 1B on the NVIDIA RTX 4080 Super yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an RTX 4080 Super? Add your real speed

One command times Gemma 3 1B 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 -- gemma3:1b

Windows (PowerShell)

$env:GPUFIT_MODEL="gemma3:1b"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run Gemma 3 1B comfortably

Models that run well on the NVIDIA RTX 4080 Super

Frequently asked questions

Can NVIDIA RTX 4080 Super run Gemma 3 1B?

Yes. The NVIDIA RTX 4080 Super can run Gemma 3 1B fully in VRAM at FP16 (full quality), using about 2.6 GB of the 16 GB available, at roughly 221 tokens/second.

How much VRAM does Gemma 3 1B need?

About 1.3 GB at Q4_K_M with 8,192 tokens of context, and about 2.6 GB at full FP16 precision.

How fast is Gemma 3 1B on the NVIDIA RTX 4080 Super?

Roughly 221 tokens per second at FP16, estimated from the NVIDIA RTX 4080 Super's 736 GB/s memory bandwidth.