Deepseek AI Deepseek Coder V2 Lite Instruct speed on RX 7700 XT and quantization-level VRAM fit.
RX 7700 XT meets the minimum VRAM requirement for Q4 inference of Deepseek AI Deepseek Coder V2 Lite Instruct. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
RX 7700 XT can run Deepseek AI Deepseek Coder V2 Lite Instruct with Q4 quantization. At approximately 46 tokens/second, you can expect Moderate speed - useful for batch processing.
You have 4GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 8GB | 12GB | 46.30 tok/s | ✅ Fits comfortably |
| Q8 | 16GB | 12GB | 32.41 tok/s | ❌ Not recommended |
| FP16 | 32GB | 12GB | 17.60 tok/s | ❌ Not recommended |
Need a GPU with 8GB+ VRAM? These guides match your requirements.
Check current pricing links for RX 7700 XT and similar cards.
Open RX 7700 XT 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 →Rent cloud GPUs by the hour — no upfront hardware cost.
RX 7700 XT can run Deepseek AI Deepseek Coder V2 Lite Instruct at Q4 with an estimated 46 tok/s.
Q4 inference is estimated to need about 8GB VRAM on this page, while RX 7700 XT has 12GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.