RTX 4080 meets the minimum VRAM requirement for Q4 inference of TinyLlama/TinyLlama-1.1B-Chat-v1.0. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
RTX 4080 can run TinyLlama/TinyLlama-1.1B-Chat-v1.0 with Q4 quantization. At approximately 149 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 15GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 1GB | 16GB | 148.90 tok/s | ✅ Fits comfortably |
| Q8 | 1GB | 16GB | 99.74 tok/s | ✅ Fits comfortably |
| FP16 | 2GB | 16GB | 56.08 tok/s | ✅ Fits comfortably |