Deepseek AI Deepseek R1 Distill Qwen 1.5B speed on RTX 5080 and quantization-level VRAM fit.
RTX 5080 meets the minimum VRAM requirement for Q4 inference of Deepseek AI Deepseek R1 Distill Qwen 1.5B. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
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Deepseek ai deepseek r1 distill qwen 1.5b speed on rtx 5080
Deepseek AI Deepseek R1 Distill Qwen 1.5B runs on RTX 5080 at about 237 tok/s at Q4 in our current compatibility dataset.
Based on 132 impressions tracked in Search Console.
RTX 5080 can run Deepseek AI Deepseek R1 Distill Qwen 1.5B with Q4 quantization. At approximately 237 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 15GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 1GB | 16GB | 237.15 tok/s | ✅ Fits comfortably |
| Q8 | 2GB | 16GB | 166.01 tok/s | ✅ Fits comfortably |
| FP16 | 3GB | 16GB | 90.12 tok/s | ✅ Fits comfortably |
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RTX 5080 can run Deepseek AI Deepseek R1 Distill Qwen 1.5B at Q4 with an estimated 237 tok/s.
Q4 inference is estimated to need about 1GB VRAM on this page, while RTX 5080 has 16GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.