Can the NVIDIA RTX 4060 run Gemma 2 27B?

No

No. Even at Q4_K_M, Gemma 2 27B needs about 20.2 GB, but the NVIDIA RTX 4060 has 8 GB usable. You could offload some layers to system RAM, but it will be very slow.

Try other context lengths in the calculator →
Run it in the cloud

Too big for the NVIDIA RTX 4060? Run Gemma 2 27B on a rented GPU instead.

Rent a cloud GPU by the hour. No upfront cost, cancel any time.

RunPodOn-demand GPUs with ready-made templates for Ollama and vLLM.Rent a GPU on RunPod → Vast.aiA marketplace of rentable GPUs, from RTX cards to H100s.Rent a GPU on Vast.ai →

Memory needed by quantization

At 8,192 tokens of context.

QuantQualityMemoryFits?Speed
FP16Full quality58.1 GBToo big—
Q8_0Near-lossless32.6 GBToo big—
Q6_KExcellent26 GBToo big—
Q5_K_MVery good23 GBToo big—
Q4_K_MGood, most popular20.2 GBToo big—
Q3_K_MNoticeably degraded17 GBToo big—
Q2_KHeavily degraded13.9 GBToo big—

How to run Gemma 2 27B anyway

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

ollama run gemma2:27b

At Q4_K_M it needs about 20.2 GB, so pick a GPU with at least 24 GB.

GPUs that run Gemma 2 27B comfortably

Check NVIDIA RTX 3090 prices →

Models that run well on the NVIDIA RTX 4060