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Compatibility Check

Can I Run CodeLlama 34B?

CodeLlama 34B is a 34B parameter model from the CodeLlama family. Check if your hardware can handle it.

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Social proof

32% of 1,605 scanned PCs run CodeLlama 34B fully on GPU.

968 keep at least some work on GPU. Based on anonymous compatibility checks.

Full GPU
509
Partial GPU
2
Hybrid CPU+GPU
457
CPU Only
222
Can't Run
415

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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_MEasiest20 GB22 GB24 GB24 GB4K / 16K

Not sure your GPU has enough VRAM? Compare GPUs that can run CodeLlama 34B.

Recommended GPUs for CodeLlama 34B

These GPUs meet the recommended 24 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 34B.

Strong OpenClaw Model Candidate

CodeLlama 34B 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 34B?

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 34BCheck on RTX 4090CodeLlama 34B pros & consSetup GuidesDecision WizardBrowse All Models