NVIDIA RTX 6000 Ada meets the minimum VRAM requirement for Q4 inference of unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
NVIDIA RTX 6000 Ada can run unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit with Q4 quantization. At approximately 183 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 44GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 4GB | 48GB | 183.46 tok/s | ✅ Fits comfortably |
| Q8 | 9GB | 48GB | 113.36 tok/s | ✅ Fits comfortably |
| FP16 | 17GB | 48GB | 68.86 tok/s | ✅ Fits comfortably |