RTX 4090 meets the minimum VRAM requirement for Q4 inference of nineninesix/kani-tts-2-en. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
RTX 4090 can run nineninesix/kani-tts-2-en with Q4 quantization. At approximately 199 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 23GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 1GB | 24GB | 199.04 tok/s | ✅ Fits comfortably |
| Q8 | 1GB | 24GB | 142.24 tok/s | ✅ Fits comfortably |
| FP16 | 1GB | 24GB | 77.94 tok/s | ✅ Fits comfortably |