Rent a GPU

Can the NVIDIA RTX 5060 Ti 8GB run Gemma 4 26B-A4B?

RTX 5060 Ti 8GB × Gemma 4 26B-A4B8K context
NoDoes not fit in memory
Memory at Q4_K_M16.5 GB of 8 GB
Weights 15.6 GBKV cache 0.3 GBRuntime 0.6 GB
On the GPU45%of the Q4_K_M weights
In system RAM8.5 GBthe rest spills over
Offload speed~26tokens per second
  1. FP16
  2. Q8_0
  3. Q6_K
  4. Q5_K_M
  5. Q4_K_M
  6. Q3_K_M
  7. Q2_K

No. Even at Q4_K_M, Gemma 4 26B-A4B needs about 16.5 GB, but the NVIDIA RTX 5060 Ti 8GB has 8 GB usable. You could offload some layers to system RAM, but it will be very slow.

Try other context lengths

Run it on a rented GPU

On a cloud GPU with enough memory, the same command you'd use locally works:

ollama run gemma4:26b

At Q4_K_M it needs about 16.5 GB, so pick a GPU with at least 24 GB.

New to this? Step-by-step setup for the RTX 5060 Ti 8GB

Run it in the cloud

Too big for the NVIDIA RTX 5060 Ti 8GB? Run Gemma 4 26B-A4B on a rented GPU instead.

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

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 8 GB the NVIDIA RTX 5060 Ti 8GB 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 GBToo big—

Measured speed from real RTX 5060 Ti 8GB owners

Tokens per second that people measured on their own NVIDIA RTX 5060 Ti 8GB, next to our estimate.

No one has measured Gemma 4 26B-A4B on the NVIDIA RTX 5060 Ti 8GB yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an RTX 5060 Ti 8GB? 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

Check Radeon RX 7900 XT prices

Models that run well on the NVIDIA RTX 5060 Ti 8GB

Frequently asked questions

Can NVIDIA RTX 5060 Ti 8GB run Gemma 4 26B-A4B?

No. Even at Q4_K_M, Gemma 4 26B-A4B needs about 16.5 GB, but the NVIDIA RTX 5060 Ti 8GB has 8 GB usable. You could offload some layers to system RAM, but it will be very slow.

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 5060 Ti 8GB?

It does not fit in the NVIDIA RTX 5060 Ti 8GB's memory, so most layers would run from system RAM and generation would be very slow.