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61% of 996 scanned PCs run Qwen3 14B fully on GPU.

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

Full GPU
611
Partial GPU
98
Hybrid CPU+GPU
68
CPU Only
167
Can't Run
52

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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 GB8 GB9.1 GB11 GB8K / 8K
Q5_K_M8.8 GB10.1 GB11.4 GB14 GB8K / 8K
Q8_014 GB16.1 GB18.2 GB21 GB8K / 8K
FP1628 GB32.2 GB36.4 GB42 GB8K / 8K

Not sure your GPU has enough VRAM? Compare GPUs that can run Qwen3 14B.

Recommended GPUs for Qwen3 14B

These GPUs meet the recommended 9.1 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 Qwen3 14B.

Strong OpenClaw Model Candidate

Qwen3 14B 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 Qwen3 14B?

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 Qwen3 14BCheck on RTX 4090Qwen3 14B pros & consSetup GuidesDecision WizardBrowse All Models