Mlx Community Gpt Oss 20B Mxfp4 Q8 speed on Intel Arc B570 and quantization-level VRAM fit.
Intel Arc B570 meets the minimum VRAM requirement for Q4 inference of Mlx Community Gpt Oss 20B Mxfp4 Q8. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
Intel Arc B570 can run Mlx Community Gpt Oss 20B Mxfp4 Q8 with Q4 quantization. At approximately 34 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 | 10GB | 10GB | 34.18 tok/s | ⚠️ Tight fit |
| Q8 | 20GB | 10GB | 23.93 tok/s | ❌ Not recommended |
| FP16 | 40GB | 10GB | 12.99 tok/s | ❌ Not recommended |
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Intel Arc B570 can run Mlx Community Gpt Oss 20B Mxfp4 Q8 at Q4 with an estimated 34 tok/s.
Q4 inference is estimated to need about 10GB VRAM on this page, while Intel Arc B570 has 10GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.