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Compatibility Check

Can I Run CodeLlama 13B?

CodeLlama 13B is a 13B parameter model from the CodeLlama family. Check if your hardware can handle it.

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Social proof

59% of 1,583 scanned PCs run CodeLlama 13B fully on GPU.

1,202 keep at least some work on GPU. Based on anonymous compatibility checks.

Full GPU
932
Partial GPU
16
Hybrid CPU+GPU
254
CPU Only
251
Can't Run
130

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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_MEasiest7.9 GB9 GB12 GB12 GB4K / 16K

Not sure your GPU has enough VRAM? Compare GPUs that can run CodeLlama 13B.

Recommended GPUs for CodeLlama 13B

These GPUs meet the recommended 12 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 CodeLlama 13B.

Strong OpenClaw Model Candidate

CodeLlama 13B 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 CodeLlama 13B?

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 CodeLlama 13BCheck on RTX 4090CodeLlama 13B pros & consSetup GuidesDecision WizardBrowse All Models