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71% of 1,559 scanned PCs run DeepSeek R1 Distill Llama 8B fully on GPU.

1,228 keep at least some work on GPU. Based on anonymous compatibility checks.

Full GPU
1,103
Partial GPU
76
Hybrid CPU+GPU
49
CPU Only
254
Can't Run
77

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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_MEasiest4.9 GB5.5 GB8 GB8 GB8K / 128K
Q8_08.5 GB9.5 GB12 GB12 GB8K / 128K

Not sure your GPU has enough VRAM? Compare GPUs that can run DeepSeek R1 Distill Llama 8B.

Recommended GPUs for DeepSeek R1 Distill Llama 8B

These GPUs meet the recommended 8 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 DeepSeek R1 Distill Llama 8B.

Strong OpenClaw Model Candidate

DeepSeek R1 Distill Llama 8B 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 DeepSeek R1 Distill Llama 8B?

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 DeepSeek R1 Distill Llama 8BCheck on RTX 4090DeepSeek R1 Distill Llama 8B pros & consSetup GuidesDecision WizardBrowse All Models