Quantization-specific throughput and VRAM requirements for deepseek-ai/deepseek-coder-1.3b-instruct running on RTX 5090.
Speed values come from the compatibility dataset (`estimatedTokensPerSec`) and are sorted by quantization.
For full verdict logic and alternate GPUs, see the canonical compatibility page.
Open full compatibility report| Quantization | VRAM needed | VRAM available | Speed | Verdict |
|---|---|---|---|---|
| Q4 | 2GB | 32GB | 371 tok/s | ✅ Fits |
| Q8 | 3GB | 32GB | 265 tok/s | ✅ Fits |
| FP16 | 6GB | 32GB | 127 tok/s | ✅ Fits |