Meta Llama Llama 3.1 8B Instruct speed on RTX 4080 Super and quantization-level VRAM fit.
RTX 4080 Super 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.
Query match answer
Meta llama llama 3.1 8b instruct speed on rtx 4080 super
Meta Llama Llama 3.1 8B Instruct runs on RTX 4080 Super at about 127 tok/s at Q4 in our current compatibility dataset.
Based on 421 impressions tracked in Search Console.
RTX 4080 Super can run Meta Llama Llama 3.1 8B Instruct with Q4 quantization. At approximately 127 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 12GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 4GB | 16GB | 126.70 tok/s | ✅ Fits comfortably |
| Q8 | 8GB | 16GB | 88.69 tok/s | ✅ Fits comfortably |
| FP16 | 16GB | 16GB | 48.14 tok/s | ⚠️ Tight fit |
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RTX 4080 Super can run Meta Llama Llama 3.1 8B Instruct at Q4 with an estimated 127 tok/s.
Q4 inference is estimated to need about 4GB VRAM on this page, while RTX 4080 Super has 16GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.