Meta Llama Llama 2 13B Chat HF speed on RTX 5080 and quantization-level VRAM fit.
RTX 5080 meets the minimum VRAM requirement for Q4 inference of Meta Llama Llama 2 13B Chat HF. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
RTX 5080 can run Meta Llama Llama 2 13B Chat HF with Q4 quantization. At approximately 119 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 9GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 7GB | 16GB | 118.58 tok/s | ✅ Fits comfortably |
| Q8 | 13GB | 16GB | 83.00 tok/s | ✅ Fits comfortably |
| FP16 | 26GB | 16GB | 45.06 tok/s | ❌ Not recommended |
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Compare prebuilt systems →RTX 5080 can run Meta Llama Llama 2 13B Chat HF at Q4 with an estimated 119 tok/s.
Q4 inference is estimated to need about 7GB 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.