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Social proof

32% of 1,463 scanned PCs run Yi 1.5 34B fully on GPU.

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

Full GPU
471
Partial GPU
2
Hybrid CPU+GPU
417
CPU Only
186
Can't Run
387

Test Your Hardware

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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 / 4K
Q8_036 GB38 GB44 GB44 GB4K / 4K

Not sure your GPU has enough VRAM? Compare GPUs that can run Yi 1.5 34B.

Recommended GPUs for Yi 1.5 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 Yi 1.5 34B.

Strong OpenClaw Model Candidate

Yi 1.5 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.

Why choose Yi 1.5 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 Yi 1.5 34BCheck on RTX 4090Yi 1.5 34B pros & consSetup GuidesDecision WizardBrowse All Models