Quantization-specific throughput and VRAM requirements for deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct running on RTX 4070 Ti Super.
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 | 4GB | 16GB | 112 tok/s | ✅ Fits |
| Q8 | 7GB | 16GB | 74 tok/s | ✅ Fits |
| FP16 | 15GB | 16GB | 42 tok/s | ⚠️ Tight fit |