Rent a GPU

Can the NVIDIA RTX 5080 run Gemma 3 12B?

RTX 5080 × Gemma 3 12B8K context
YesRuns fully on the GPU
Memory at Q6_K13.8 GB of 16 GB
Weights 10 GBKV cache 3.2 GBRuntime 0.6 GB
QuantQ6_KExcellent
Memory13.8 GBof 16 GB usable
Speed~58tokens 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

Yes. The NVIDIA RTX 5080 can run Gemma 3 12B fully in VRAM at Q6_K (excellent), using about 13.8 GB of the 16 GB available, at roughly 58 tokens/second.

Try other context lengths

Run it with Ollama

With Ollama installed, one command downloads and starts Gemma 3 12B:

ollama run gemma3:12b

Ollama's default download is Q4_K_M (about 11.2 GB here). You have room for Q6_K, which is excellent: pick that GGUF in LM Studio or from Hugging Face.

Run it in the cloud

No NVIDIA RTX 5080? Run Gemma 3 12B 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 5080 can use.

QuantQualityMemoryFits?Speed
FP16Full quality28.2 GBToo big—
Q8_0Near-lossless16.8 GBToo big—
Q6_KExcellent13.8 GBFits~58 tok/s
Q5_K_MVery good12.5 GBFits~66 tok/s
Q4_K_MGood, most popular11.2 GBFits~78 tok/s
Q3_K_MNoticeably degraded9.8 GBFits~97 tok/s
Q2_KHeavily degraded8.4 GBFits~126 tok/s

GPUs that run Gemma 3 12B comfortably

Models that run well on the NVIDIA RTX 5080

Frequently asked questions

Can NVIDIA RTX 5080 run Gemma 3 12B?

Yes. The NVIDIA RTX 5080 can run Gemma 3 12B fully in VRAM at Q6_K (excellent), using about 13.8 GB of the 16 GB available, at roughly 58 tokens/second.

How much VRAM does Gemma 3 12B need?

About 11.2 GB at Q4_K_M with 8,192 tokens of context, and about 28.2 GB at full FP16 precision.

How fast is Gemma 3 12B on the NVIDIA RTX 5080?

Roughly 58 tokens per second at Q6_K, estimated from the NVIDIA RTX 5080's 960 GB/s memory bandwidth.