Meta Llama Llama 3.1 8B Instruct speed on RTX 3080 and quantization-level VRAM fit.
RTX 3080 meets the minimum VRAM requirement for Q4 inference of Meta Llama Llama 3.1 8B Instruct. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
RTX 3080 can run Meta Llama Llama 3.1 8B Instruct with Q4 quantization. At approximately 94 tokens/second, you can expect Good speed - acceptable for interactive use.
You have 5GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 5GB | 10GB | 94.27 tok/s | ✅ Fits comfortably |
| Q8 | 9GB | 10GB | 65.99 tok/s | ⚠️ Tight fit |
| FP16 | 17GB | 10GB | 35.82 tok/s | ❌ Not recommended |
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RTX 3080 can run Meta Llama Llama 3.1 8B Instruct at Q4 with an estimated 94 tok/s.
Q4 inference is estimated to need about 5GB VRAM on this page, while RTX 3080 has 10GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.