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79% of 1,465 scanned PCs run Stable Code 3B fully on GPU.

1,167 keep at least some work on GPU. Based on anonymous compatibility checks.

Full GPU
1,152
Partial GPU
3
Hybrid CPU+GPU
12
CPU Only
235
Can't Run
63

Test Your Hardware

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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_MEasiest1.8 GB2.5 GB4 GB4 GB4K / 16K

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

Recommended GPUs for Stable Code 3B

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 Stable Code 3B.

Strong OpenClaw Model Candidate

Stable Code 3B 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.

Why choose Stable Code 3B?

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 Stable Code 3BCheck on RTX 4090Stable Code 3B pros & consSetup GuidesDecision WizardBrowse All Models