Zai Org Glm 4 7 Flash speed on RX 7900 GRE and quantization-level VRAM fit.
RX 7900 GRE meets the minimum VRAM requirement for Q4 inference of Zai Org Glm 4 7 Flash. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
RX 7900 GRE can run Zai Org Glm 4 7 Flash with Q4 quantization. At approximately 32 tokens/second, you can expect Moderate speed - useful for batch processing.
VRAM usage will be very close to your GPU's limit. Consider closing other applications or using Q3 quantization for more margin.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 16GB | 16GB | 31.92 tok/s | ⚠️ Tight fit |
| Q8 | 32GB | 16GB | 22.35 tok/s | ❌ Not recommended |
| FP16 | 63GB | 16GB | 12.13 tok/s | ❌ Not recommended |
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RX 7900 GRE can run Zai Org Glm 4 7 Flash at Q4 with an estimated 32 tok/s.
Q4 inference is estimated to need about 16GB 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.