Meta Llama Llama 3.1 8B Instruct speed on RTX 5070 and quantization-level VRAM fit.
RTX 5070 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 5070
Meta Llama Llama 3.1 8B Instruct runs on RTX 5070 at about 108 tok/s at Q4 in our current compatibility dataset.
Based on 558 impressions tracked in Search Console.
RTX 5070 can run Meta Llama Llama 3.1 8B Instruct with Q4 quantization. At approximately 108 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 8GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 4GB | 12GB | 107.58 tok/s | ✅ Fits comfortably |
| Q8 | 8GB | 12GB | 75.30 tok/s | ✅ Fits comfortably |
| FP16 | 16GB | 12GB | 40.88 tok/s | ❌ Not recommended |
Check current pricing links for RTX 5070 and similar cards.
Open RTX 5070 buy links →Use workload-focused recommendations before committing to a purchase.
Browse best GPU guides →Compare complete systems if you want ready-to-run hardware.
Compare prebuilt systems →RTX 5070 can run Meta Llama Llama 3.1 8B Instruct at Q4 with an estimated 108 tok/s.
Q4 inference is estimated to need about 4GB VRAM on this page, while RTX 5070 has 12GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.