Rent a GPU

Can the NVIDIA RTX 3080 10GB run Gemma 3 4B?

RTX 3080 10GB × Gemma 3 4B8K context
YesRuns fully on the GPU
Memory at Q8_06.3 GB of 10 GB
Weights 4.6 GBKV cache 1.1 GBRuntime 0.6 GB
QuantQ8_0Near-lossless
Memory6.3 GBof 10 GB usable
Speed~100tokens 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 3080 10GB can run Gemma 3 4B fully in VRAM at Q8_0 (near-lossless), using about 6.3 GB of the 10 GB available, at roughly 100 tokens/second.

Try other context lengths

Run it with Ollama

With Ollama installed, one command downloads and starts Gemma 3 4B:

ollama run gemma3:4b

Ollama's default download is Q4_K_M (about 4.3 GB here). You have room for Q8_0, which is near-lossless: pick that GGUF in LM Studio or from Hugging Face.

Run it in the cloud

No NVIDIA RTX 3080 10GB? Run Gemma 3 4B 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 10 GB the NVIDIA RTX 3080 10GB can use.

QuantQualityMemoryFits?Speed
FP16Full quality10.3 GBToo big—
Q8_0Near-lossless6.3 GBFits~100 tok/s
Q6_KExcellent5.3 GBFits~129 tok/s
Q5_K_MVery good4.8 GBFits~149 tok/s
Q4_K_MGood, most popular4.3 GBFits~175 tok/s
Q3_K_MNoticeably degraded3.8 GBFits~217 tok/s
Q2_KHeavily degraded3.4 GBFits~283 tok/s

GPUs that run Gemma 3 4B comfortably

Models that run well on the NVIDIA RTX 3080 10GB

Frequently asked questions

Can NVIDIA RTX 3080 10GB run Gemma 3 4B?

Yes. The NVIDIA RTX 3080 10GB can run Gemma 3 4B fully in VRAM at Q8_0 (near-lossless), using about 6.3 GB of the 10 GB available, at roughly 100 tokens/second.

How much VRAM does Gemma 3 4B need?

About 4.3 GB at Q4_K_M with 8,192 tokens of context, and about 10.3 GB at full FP16 precision.

How fast is Gemma 3 4B on the NVIDIA RTX 3080 10GB?

Roughly 100 tokens per second at Q8_0, estimated from the NVIDIA RTX 3080 10GB's 760 GB/s memory bandwidth.