RTX 4070 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 4070 can run TinyLlama/TinyLlama-1.1B-Chat-v1.0 with Q4 quantization. At approximately 105 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 11GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 1GB | 12GB | 104.99 tok/s | ✅ Fits comfortably |
| Q8 | 1GB | 12GB | 72.30 tok/s | ✅ Fits comfortably |
| FP16 | 2GB | 12GB | 36.85 tok/s | ✅ Fits comfortably |