Meta Llama Llama Guard 3 8B speed on RTX 3090 and quantization-level VRAM fit.
RTX 3090 meets the minimum VRAM requirement for Q4 inference of Meta Llama Llama Guard 3 8B. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
RTX 3090 can run Meta Llama Llama Guard 3 8B with Q4 quantization. At approximately 116 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 19GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 5GB | 24GB | 115.64 tok/s | ✅ Fits comfortably |
| Q8 | 9GB | 24GB | 80.95 tok/s | ✅ Fits comfortably |
| FP16 | 17GB | 24GB | 43.94 tok/s | ✅ Fits comfortably |
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RTX 3090 can run Meta Llama Llama Guard 3 8B at Q4 with an estimated 116 tok/s.
Q4 inference is estimated to need about 5GB VRAM on this page, while RTX 3090 has 24GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.