Deepseek AI Deepseek R1 Distill Llama 8B speed on RTX 3060 12GB and quantization-level VRAM fit.
RTX 3060 12GB meets the minimum VRAM requirement for Q4 inference of Deepseek AI Deepseek R1 Distill Llama 8B. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
RTX 3060 12GB can run Deepseek AI Deepseek R1 Distill Llama 8B with Q4 quantization. At approximately 54 tokens/second, you can expect Good speed - acceptable for interactive use.
You have 7GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 5GB | 12GB | 54.43 tok/s | ✅ Fits comfortably |
| Q8 | 9GB | 12GB | 38.10 tok/s | ✅ Fits comfortably |
| FP16 | 17GB | 12GB | 20.68 tok/s | ❌ Not recommended |
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RTX 3060 12GB can run Deepseek AI Deepseek R1 Distill Llama 8B at Q4 with an estimated 54 tok/s.
Q4 inference is estimated to need about 5GB 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.