Compatibility Check
Can I Run GLM 5?
GLM 5 is a 744B parameter model from the GLM family. Check if your hardware can handle it.
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Social proof
0% of 999 scanned PCs run GLM 5 fully on GPU.
199 keep at least some work on GPU. Based on anonymous compatibility checks.
Test Your Hardware
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.
| Quantization | File Size | Min VRAM | Recommended VRAM | Min RAM | Context |
|---|---|---|---|---|---|
| Q4_K_MEasiest | 372 GB | 427.8 GB | 483.6 GB | 558 GB | 8K / 8K |
| Q5_K_M | 465 GB | 534.8 GB | 604.5 GB | 698 GB | 8K / 8K |
| Q8_0 | 744 GB | 855.6 GB | 967.2 GB | 1116 GB | 8K / 8K |
| FP16 | 1488 GB | 1711.2 GB | 1934.4 GB | 2232 GB | 8K / 8K |
Not sure your GPU has enough VRAM? Compare GPUs that can run GLM 5.
Strong OpenClaw Model Candidate
GLM 5 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 GLM 5?
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.