Budget Pick
NVIDIA GeForce RTX 3080 10GB10 GB VRAM · ~110.5 tok/s
Lowest cost that meets recommended VRAM
Check price on AmazonCompatibility Check
Can I Run Yi 1.5 9B?
Yi 1.5 9B is a 9B parameter model from the Yi family. Check if your hardware can handle it.
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60% of 1,609 scanned PCs run Yi 1.5 9B fully on GPU.
1,262 keep at least some work on GPU. Based on anonymous compatibility checks.
Full GPU
965Partial GPU
171Hybrid CPU+GPU
126CPU Only
264Can't Run
83Test 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.
| Quantization | File Size | Min VRAM | Recommended VRAM | Min RAM | Context |
|---|---|---|---|---|---|
| Q4_K_MEasiest | 5.5 GB | 6.5 GB | 10 GB | 8 GB | 4K / 4K |
Not sure your GPU has enough VRAM? Compare GPUs that can run Yi 1.5 9B.
Recommended GPUs for Yi 1.5 9B
These GPUs meet the recommended 10 GB VRAM for the Q4_K_M quantization. Estimated speeds are approximate and assume full GPU offloading.
Fastest Pick
NVIDIA GeForce RTX 509032 GB VRAM · ~260.7 tok/s
Highest estimated throughput
Check price on AmazonBest Value
NVIDIA GeForce RTX 3080 Ti12 GB VRAM · ~132.7 tok/s
Best speed per dollar of VRAM
Check price on AmazonNeed a detailed comparison? See all GPU rankings for Yi 1.5 9B.
Strong OpenClaw Model Candidate
Yi 1.5 9B 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 Yi 1.5 9B?
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.