RTX 4090 meets the minimum VRAM requirement for Q4 inference of openai-community/gpt2. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
RTX 4090 can run openai-community/gpt2 with Q4 quantization. At approximately 178 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 | 177.58 tok/s | ✅ Fits comfortably |
| Q8 | 7GB | 24GB | 120.33 tok/s | ✅ Fits comfortably |
| FP16 | 15GB | 24GB | 72.37 tok/s | ✅ Fits comfortably |