Nari Labs Dia2 2B speed on RTX 3060 12GB and quantization-level VRAM fit.
RTX 3060 12GB meets the minimum VRAM requirement for Q4 inference of Nari Labs Dia2 2B. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
RTX 3060 12GB can run Nari Labs Dia2 2B with Q4 quantization. At approximately 70 tokens/second, you can expect Good speed - acceptable for interactive use.
You have 11GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 1GB | 12GB | 69.67 tok/s | ✅ Fits comfortably |
| Q8 | 2GB | 12GB | 48.77 tok/s | ✅ Fits comfortably |
| FP16 | 4GB | 12GB | 26.47 tok/s | ✅ Fits comfortably |
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RTX 3060 12GB can run Nari Labs Dia2 2B at Q4 with an estimated 70 tok/s.
Q4 inference is estimated to need about 1GB VRAM on this page, while RTX 3060 12GB has 12GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.