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Can the NVIDIA RTX 4090 run Gemma 4 26B-A4B?

RTX 4090 × Gemma 4 26B-A4B8K context
YesRuns fully on the GPU
Memory at Q6_K22 GB of 24 GB
Weights 21.2 GBKV cache 0.3 GBRuntime 0.6 GB
QuantQ6_KExcellent
Speed~194tokens per second
Max context193Ktokens 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 4090 can run Gemma 4 26B-A4B fully in VRAM at Q6_K (excellent), using about 22 GB of the 24 GB available, at roughly 194 tokens/second.

Try other context lengths

Run it with Ollama

With Ollama installed, one command downloads and starts Gemma 4 26B-A4B:

ollama run gemma4:26b

Ollama's default download is Q4_K_M (about 16.5 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 4090

Run it in the cloud

No NVIDIA RTX 4090? Run Gemma 4 26B-A4B 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 4090 can use.

QuantQualityMemoryFits?Speed
FP16Full quality52.5 GBToo big—
Q8_0Near-lossless28.3 GBToo big—
Q6_KExcellent22 GBFits~194 tok/s
Q5_K_MVery good19.2 GBFits~224 tok/s
Q4_K_MGood, most popular16.5 GBFits~263 tok/s
Q3_K_MNoticeably degraded13.5 GBFits~326 tok/s
Q2_KHeavily degraded10.6 GBFits~424 tok/s

Measured speed from real RTX 4090 owners

Tokens per second that people measured on their own NVIDIA RTX 4090, next to our estimate.

No one has measured Gemma 4 26B-A4B on the NVIDIA RTX 4090 yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an RTX 4090? Add your real speed

One command times Gemma 4 26B-A4B 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 -- gemma4:26b

Windows (PowerShell)

$env:GPUFIT_MODEL="gemma4:26b"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run Gemma 4 26B-A4B comfortably

Models that run well on the NVIDIA RTX 4090

Frequently asked questions

Can NVIDIA RTX 4090 run Gemma 4 26B-A4B?

Yes. The NVIDIA RTX 4090 can run Gemma 4 26B-A4B fully in VRAM at Q6_K (excellent), using about 22 GB of the 24 GB available, at roughly 194 tokens/second.

How much VRAM does Gemma 4 26B-A4B need?

About 16.5 GB at Q4_K_M with 8,192 tokens of context, and about 52.5 GB at full FP16 precision.

How fast is Gemma 4 26B-A4B on the NVIDIA RTX 4090?

Roughly 194 tokens per second at Q6_K, estimated from the NVIDIA RTX 4090's 1008 GB/s memory bandwidth.