Deepseek AI Deepseek Coder V2 Instruct 0724 speed on NVIDIA L4 and quantization-level VRAM fit.
NVIDIA L4 does not meet the minimum VRAM requirement for Q4 inference of Deepseek AI Deepseek Coder V2 Instruct 0724. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
NVIDIA L4 lacks sufficient VRAM for comfortable Deepseek AI Deepseek Coder V2 Instruct 0724 operation with Q4 quantization.
Your 24GB GPU is 12GB short of the 36GB minimum.
Options: (1) Try Q2 or Q3 quantization for lower VRAM requirements, (2) Consider cloud GPU rental, (3) Upgrade to a GPU with at least 16GB VRAM.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 36GB | 24GB | 15.14 tok/s | ❌ Not recommended |
| Q8 | 72GB | 24GB | 10.60 tok/s | ❌ Not recommended |
| FP16 | 144GB | 24GB | 5.75 tok/s | ❌ Not recommended |
Check current pricing links for NVIDIA L4 and similar cards.
Open NVIDIA L4 buy links →Use workload-focused recommendations before committing to a purchase.
Browse best GPU guides →Compare complete systems if you want ready-to-run hardware.
Compare prebuilt systems →NVIDIA L4 is not a comfortable Q4 fit for Deepseek AI Deepseek Coder V2 Instruct 0724 (about 36GB needed).
Q4 inference is estimated to need about 36GB VRAM on this page, while NVIDIA L4 has 24GB available.
Try lower-bit quantization, choose a smaller model, or move to a higher-VRAM GPU from the alternatives list.