Deepseek AI Deepseek R1 Distill Llama 8B speed on Intel Arc B580 and quantization-level VRAM fit.
Intel Arc B580 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.
Intel Arc B580 can run Deepseek AI Deepseek R1 Distill Llama 8B with Q4 quantization. At approximately 70 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 | 70.44 tok/s | ✅ Fits comfortably |
| Q8 | 9GB | 12GB | 49.31 tok/s | ✅ Fits comfortably |
| FP16 | 17GB | 12GB | 26.77 tok/s | ❌ Not recommended |
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Intel Arc B580 can run Deepseek AI Deepseek R1 Distill Llama 8B at Q4 with an estimated 70 tok/s.
Q4 inference is estimated to need about 5GB VRAM on this page, while Intel Arc B580 has 12GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.