Codellama Codellama 34B HF speed on NVIDIA A4000 and quantization-level VRAM fit.
NVIDIA A4000 does not meet the minimum VRAM requirement for Q4 inference of Codellama Codellama 34B HF. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
NVIDIA A4000 lacks sufficient VRAM for comfortable Codellama Codellama 34B HF operation with Q4 quantization.
Your 16GB GPU is 1GB short of the 17GB 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 | 17GB | 16GB | 26.91 tok/s | ❌ Not recommended |
| Q8 | 34GB | 16GB | 18.83 tok/s | ❌ Not recommended |
| FP16 | 68GB | 16GB | 10.22 tok/s | ❌ Not recommended |
Check current pricing links for NVIDIA A4000 and similar cards.
Open NVIDIA A4000 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 →Your GPU doesn't meet the VRAM requirements. Run Codellama Codellama 34B HF on cloud GPU instantly.
NVIDIA A4000 is not a comfortable Q4 fit for Codellama Codellama 34B HF (about 17GB needed).
Q4 inference is estimated to need about 17GB VRAM on this page, while NVIDIA A4000 has 16GB available.
Try lower-bit quantization, choose a smaller model, or move to a higher-VRAM GPU from the alternatives list.