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71% of 1,567 scanned PCs run InternLM 2.5 7B fully on GPU.

1,235 keep at least some work on GPU. Based on anonymous compatibility checks.

Full GPU
1,108
Partial GPU
77
Hybrid CPU+GPU
50
CPU Only
255
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_MEasiest4.7 GB5.5 GB8 GB8 GB8K / 32K

Not sure your GPU has enough VRAM? Compare GPUs that can run InternLM 2.5 7B.

Recommended GPUs for InternLM 2.5 7B

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 InternLM 2.5 7B.

Strong OpenClaw Model Candidate

InternLM 2.5 7B 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 InternLM 2.5 7B?

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 InternLM 2.5 7BCheck on RTX 4090InternLM 2.5 7B pros & consSetup GuidesDecision WizardBrowse All Models