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Can the NVIDIA RTX 4060 Ti 8GB run Gemma 3 4B?

RTX 4060 Ti 8GB × Gemma 3 4B8K context
YesRuns fully on the GPU
Memory at Q8_05.5 GB of 8 GB
Weights 4.6 GBKV cache 0.3 GBRuntime 0.6 GB
QuantQ8_0Near-lossless
Speed~38tokens per second
Max context128Kthe model's full window
  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 4060 Ti 8GB can run Gemma 3 4B fully in VRAM at Q8_0 (near-lossless), using about 5.5 GB of the 8 GB available, at roughly 38 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 3.5 GB here). You have room for Q8_0, which is near-lossless: pick that GGUF in LM Studio or from Hugging Face.

New to this? Step-by-step setup for the RTX 4060 Ti 8GB

Run it in the cloud

No NVIDIA RTX 4060 Ti 8GB? 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 8 GB the NVIDIA RTX 4060 Ti 8GB can use.

QuantQualityMemoryFits?Speed
FP16Full quality9.5 GBToo big—
Q8_0Near-lossless5.5 GBFits~38 tok/s
Q6_KExcellent4.4 GBFits~49 tok/s
Q5_K_MVery good3.9 GBFits~57 tok/s
Q4_K_MGood, most popular3.5 GBFits~66 tok/s
Q3_K_MNoticeably degraded3 GBFits~82 tok/s
Q2_KHeavily degraded2.5 GBFits~107 tok/s

Measured speed from real RTX 4060 Ti 8GB owners

Tokens per second that people measured on their own NVIDIA RTX 4060 Ti 8GB, next to our estimate.

No one has measured Gemma 3 4B on the NVIDIA RTX 4060 Ti 8GB yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an RTX 4060 Ti 8GB? Add your real speed

One command times Gemma 3 4B 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 -- gemma3:4b

Windows (PowerShell)

$env:GPUFIT_MODEL="gemma3:4b"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run Gemma 3 4B comfortably

Models that run well on the NVIDIA RTX 4060 Ti 8GB

Frequently asked questions

Can NVIDIA RTX 4060 Ti 8GB run Gemma 3 4B?

Yes. The NVIDIA RTX 4060 Ti 8GB can run Gemma 3 4B fully in VRAM at Q8_0 (near-lossless), using about 5.5 GB of the 8 GB available, at roughly 38 tokens/second.

How much VRAM does Gemma 3 4B need?

About 3.5 GB at Q4_K_M with 8,192 tokens of context, and about 9.5 GB at full FP16 precision.

How fast is Gemma 3 4B on the NVIDIA RTX 4060 Ti 8GB?

Roughly 38 tokens per second at Q8_0, estimated from the NVIDIA RTX 4060 Ti 8GB's 288 GB/s memory bandwidth.