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59% of 1,608 scanned PCs run Phi-3 Medium 14B fully on GPU.

1,221 keep at least some work on GPU. Based on anonymous compatibility checks.

Full GPU
949
Partial GPU
16
Hybrid CPU+GPU
256
CPU Only
256
Can't Run
131

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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_MEasiest8.2 GB9.5 GB12 GB12 GB4K / 4K
Q8_014.8 GB16 GB20 GB20 GB4K / 4K

Not sure your GPU has enough VRAM? Compare GPUs that can run Phi-3 Medium 14B.

Recommended GPUs for Phi-3 Medium 14B

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 Phi-3 Medium 14B.

Strong OpenClaw Model Candidate

Phi-3 Medium 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 Phi-3 Medium 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 Phi-3 Medium 14BCheck on RTX 4090Phi-3 Medium 14B pros & consSetup GuidesDecision WizardBrowse All Models