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Social proof

71% of 1,613 scanned PCs run Command R7B fully on GPU.

1,271 keep at least some work on GPU. Based on anonymous compatibility checks.

Full GPU
1,140
Partial GPU
79
Hybrid CPU+GPU
52
CPU Only
264
Can't Run
78

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_MEasiest4.5 GB5.5 GB8 GB8 GB4K / 64K
Q8_07.7 GB9 GB12 GB12 GB4K / 64K

Not sure your GPU has enough VRAM? Compare GPUs that can run Command R7B.

Recommended GPUs for Command R7B

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 Command R7B.

Strong OpenClaw Model Candidate

Command R7B 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 Command R7B?

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 Command R7BCheck on RTX 4090Command R7B pros & consSetup GuidesDecision WizardBrowse All Models