Openpipe Qwen3 14B Instruct speed on RX 7900 GRE and quantization-level VRAM fit.
RX 7900 GRE meets the minimum VRAM requirement for Q4 inference of Openpipe Qwen3 14B Instruct. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
RX 7900 GRE can run Openpipe Qwen3 14B Instruct with Q4 quantization. At approximately 68 tokens/second, you can expect Good speed - acceptable for interactive use.
You have 9GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 7GB | 16GB | 68.40 tok/s | ✅ Fits comfortably |
| Q8 | 14GB | 16GB | 47.88 tok/s | ✅ Fits comfortably |
| FP16 | 28GB | 16GB | 25.99 tok/s | ❌ Not recommended |
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RX 7900 GRE can run Openpipe Qwen3 14B Instruct at Q4 with an estimated 68 tok/s.
Q4 inference is estimated to need about 7GB VRAM on this page, while RX 7900 GRE has 16GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.