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25% of 1,572 scanned PCs run Llama 3.1 70B fully on GPU.

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

Full GPU
386
Hybrid CPU+GPU
526
CPU Only
209
Can't Run
451

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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
Q2_KEasiest25 GB27 GB32 GB32 GB8K / 128K
Q3_K_M33 GB35 GB40 GB40 GB8K / 128K
Q4_K_M40 GB42 GB48 GB48 GB8K / 128K
Q5_K_M48 GB50 GB56 GB56 GB8K / 128K
Q8_074 GB76 GB80 GB80 GB8K / 128K

Not sure your GPU has enough VRAM? Compare GPUs that can run Llama 3.1 70B.

Recommended GPUs for Llama 3.1 70B

These GPUs meet the recommended 32 GB VRAM for the Q2_K quantization. Estimated speeds are approximate and assume full GPU offloading.

Need a detailed comparison? See all GPU rankings for Llama 3.1 70B.

Strong OpenClaw Model Candidate

Llama 3.1 70B 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 Llama 3.1 70B?

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 Llama 3.1 70BCheck on RTX 4090Llama 3.1 70B pros & consSetup GuidesDecision WizardBrowse All Models