Budget Pick
NVIDIA GeForce RTX 3060 Laptop6 GB VRAM · ~72.6 tok/s
Lowest cost that meets recommended VRAM
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Can I Run Yi 1.5 6B?
Yi 1.5 6B is a 6B parameter model from the Yi family. Check if your hardware can handle it.
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Social proof
76% of 1,613 scanned PCs run Yi 1.5 6B fully on GPU.
1,271 keep at least some work on GPU. Based on anonymous compatibility checks.
Full GPU
1,219Hybrid CPU+GPU
52CPU Only
264Can't Run
78Test 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 | 3.7 GB | 4.5 GB | 6 GB | 6 GB | 4K / 4K |
Not sure your GPU has enough VRAM? Compare GPUs that can run Yi 1.5 6B.
Recommended GPUs for Yi 1.5 6B
These GPUs meet the recommended 6 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 · ~387.5 tok/s
Highest estimated throughput
Check price on AmazonBest Value
NVIDIA GeForce RTX 3070 Ti8 GB VRAM · ~131.5 tok/s
Best speed per dollar of VRAM
Check price on AmazonNeed a detailed comparison? See all GPU rankings for Yi 1.5 6B.
Strong OpenClaw Model Candidate
Yi 1.5 6B 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 6B?
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.