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Compatibility Check

Can I Run Gemma 3 4B?

Gemma 3 4B is a 4B parameter model from the Gemma family. Check if your hardware can handle it.

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Social proof

78% of 1,608 scanned PCs run Gemma 3 4B fully on GPU.

1,272 keep at least some work on GPU. Based on anonymous compatibility checks.

Full GPU
1,257
Hybrid CPU+GPU
15
CPU Only
269
Can't Run
67

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Hardware Requirements

Beginner tip: minimum values mean the model can start, while recommended values usually feel smoother during real use. VRAM is your GPU's dedicated memory; RAM is your system memory used as fallback. See the full glossary.

QuantizationFile SizeMin VRAMRecommended VRAMMin RAMContext
Q4_K_MEasiest2.5 GB3.5 GB4 GB4 GB8K / 32K
Q8_04.3 GB5.5 GB8 GB8 GB8K / 32K

Not sure your GPU has enough VRAM? Compare GPUs that can run Gemma 3 4B.

Recommended GPUs for Gemma 3 4B

These GPUs meet the recommended 4 GB VRAM for the Q4_K_M quantization. Estimated speeds are approximate and assume full GPU offloading.

Need a detailed comparison? See all GPU rankings for Gemma 3 4B.

Strong OpenClaw Model Candidate

Gemma 3 4B is a common OpenClaw pick for local agent workflows. Use this model with Ollama, llama.cpp, or LM Studio, then confirm full OpenClaw hardware compatibility.

OpenClaw Setup GuideOpenClaw Requirements Checker

Why choose Gemma 3 4B?

General-purpose local model brief

  • • Pilot testing with your own tasks
  • • Controlled local experiments

Quantization tip: Benchmark at least two quantizations and validate with a task-specific eval set before production use.

Full Model DetailsBest GPU for Gemma 3 4BCheck on RTX 4090Gemma 3 4B pros & consSetup GuidesDecision WizardBrowse All Models