Compatibility Check
Can I Run Kimi K2.5?
Kimi K2.5 is a 1000B parameter model from the Kimi family. Check if your hardware can handle it.
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Social proof
0% of 1,002 scanned PCs run Kimi K2.5 fully on GPU.
202 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 | 500 GB | 575 GB | 650 GB | 750 GB | 8K / 8K |
| Q5_K_M | 625 GB | 718.8 GB | 812.5 GB | 938 GB | 8K / 8K |
| Q8_0 | 1000 GB | 1150 GB | 1300 GB | 1500 GB | 8K / 8K |
| FP16 | 2000 GB | 2300 GB | 2600 GB | 3000 GB | 8K / 8K |
Not sure your GPU has enough VRAM? Compare GPUs that can run Kimi K2.5.
Strong OpenClaw Model Candidate
Kimi K2.5 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 Kimi K2.5?
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.