Meta Llama Llama 3 1 8B Instruct speed on NVIDIA L4 and quantization-level VRAM fit.
NVIDIA L4 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.
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Meta llama llama 3 1 8b instruct speed on nvidia l4
Meta Llama Llama 3 1 8B Instruct runs on NVIDIA L4 at about 45 tok/s at Q4 in our current compatibility dataset.
Based on 184 impressions tracked in Search Console.
NVIDIA L4 can run Meta Llama Llama 3 1 8B Instruct with Q4 quantization. At approximately 45 tokens/second, you can expect Moderate speed - useful for batch processing.
You have 19GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 5GB | 24GB | 45.43 tok/s | ✅ Fits comfortably |
| Q8 | 9GB | 24GB | 31.80 tok/s | ✅ Fits comfortably |
| FP16 | 17GB | 24GB | 17.26 tok/s | ✅ Fits comfortably |
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NVIDIA L4 can run Meta Llama Llama 3 1 8B Instruct at Q4 with an estimated 45 tok/s.
Q4 inference is estimated to need about 5GB VRAM on this page, while NVIDIA L4 has 24GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.