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32% of 1,596 scanned PCs run Qwen 2.5 Coder 32B fully on GPU.

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

Full GPU
508
Partial GPU
2
Hybrid CPU+GPU
452
CPU Only
218
Can't Run
416

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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_MEasiest19 GB21 GB24 GB24 GB8K / 128K
Q8_034 GB36 GB40 GB40 GB8K / 128K

Not sure your GPU has enough VRAM? Compare GPUs that can run Qwen 2.5 Coder 32B.

Recommended GPUs for Qwen 2.5 Coder 32B

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 Qwen 2.5 Coder 32B.

Strong OpenClaw Model Candidate

Qwen 2.5 Coder 32B 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 Qwen 2.5 Coder 32B?

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 Qwen 2.5 Coder 32BCheck on RTX 4090Qwen 2.5 Coder 32B pros & consSetup GuidesDecision WizardBrowse All Models