Can the NVIDIA RTX 3080 Ti run Gemma 4 26B-A4B?

RTX 3080 Ti × Gemma 4 26B-A4B8K context
Yes, with heavy quantizationFits only at a low-quality quant
Memory at Q2_K10.6 GB of 12 GB
Weights 9.7 GBKV cache 0.3 GBRuntime 0.6 GB
QuantQ2_KHeavily degraded
Speed~384tokens per second
Max context144Ktokens that fit at Q2_K
  1. FP16
  2. Q8_0
  3. Q6_K
  4. Q5_K_M
  5. Q4_K_M
  6. Q3_K_M
  7. Q2_K

Only just. Gemma 4 26B-A4B fits on the NVIDIA RTX 3080 Ti at Q2_K, which costs noticeable quality. Expect about 384 tokens/second. A card with more memory is a better experience.

Run it with Ollama

Ollama's default gemma4:26b download is Q4_K_M, which needs about 16.5 GB, more than the 12 GB available. Download the Q2_K GGUF instead (LM Studio lists quants per model), or try a smaller context length.

New to this? Step-by-step setup for the RTX 3080 Ti

Run it in the cloud

Want full quality? Run Gemma 4 26B-A4B on a bigger rented GPU.

Rent a cloud GPU by the hour. No upfront cost, stop any time. Not sure whether to rent or buy? Compare the cost.

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 quality52.5 GBToo big—
Q8_0Near-lossless28.3 GBToo big—
Q6_KExcellent22 GBToo big—
Q5_K_MVery good19.2 GBToo big—
Q4_K_MGood, most popular16.5 GBToo big—
Q3_K_MNoticeably degraded13.5 GBToo big—
Q2_KHeavily degraded10.6 GBFits~384 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 26B-A4B 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 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

Frequently asked questions

Can NVIDIA RTX 3080 Ti run Gemma 4 26B-A4B?

Only just. Gemma 4 26B-A4B fits on the NVIDIA RTX 3080 Ti at Q2_K, which costs noticeable quality. Expect about 384 tokens/second. A card with more memory is a better experience.

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 3080 Ti?

Roughly 384 tokens per second at Q2_K, estimated from the NVIDIA RTX 3080 Ti's 912 GB/s memory bandwidth.