RTX 4090 meets the minimum VRAM requirement for Q4 inference of dicta-il/dictalm2.0-instruct. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
RTX 4090 can run dicta-il/dictalm2.0-instruct with Q4 quantization. At approximately 174 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 20GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 4GB | 24GB | 173.73 tok/s | ✅ Fits comfortably |
| Q8 | 7GB | 24GB | 130.92 tok/s | ✅ Fits comfortably |
| FP16 | 15GB | 24GB | 67.96 tok/s | ✅ Fits comfortably |