Meta Llama Meta Llama 3 8B speed on RTX 4060 and quantization-level VRAM fit.
RTX 4060 meets the minimum VRAM requirement for Q4 inference of Meta Llama Meta Llama 3 8B. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
RTX 4060 can run Meta Llama Meta Llama 3 8B with Q4 quantization. At approximately 34 tokens/second, you can expect Moderate speed - useful for batch processing.
VRAM usage will be very close to your GPU's limit. Consider closing other applications or using Q3 quantization for more margin.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 5GB | 8GB | 33.65 tok/s | ✅ Fits comfortably |
| Q8 | 9GB | 8GB | 23.55 tok/s | ❌ Not recommended |
| FP16 | 17GB | 8GB | 12.79 tok/s | ❌ Not recommended |
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RTX 4060 can run Meta Llama Meta Llama 3 8B at Q4 with an estimated 34 tok/s.
Q4 inference is estimated to need about 5GB VRAM on this page, while RTX 4060 has 8GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.