Unsloth Gpt Oss 20B Bf16 speed on Apple M2 Max and quantization-level VRAM fit.
Apple M2 Max meets the minimum VRAM requirement for Q4 inference of Unsloth Gpt Oss 20B Bf16. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
Apple M2 Max can run Unsloth Gpt Oss 20B Bf16 with Q4 quantization. At approximately 30 tokens/second, you can expect Moderate speed - useful for batch processing.
You have 85GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 11GB | 96GB | 29.52 tok/s | ✅ Fits comfortably |
| Q8 | 21GB | 96GB | 20.67 tok/s | ✅ Fits comfortably |
| FP16 | 42GB | 96GB | 11.22 tok/s | ✅ Fits comfortably |
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Apple M2 Max can run Unsloth Gpt Oss 20B Bf16 at Q4 with an estimated 30 tok/s.
Q4 inference is estimated to need about 11GB VRAM on this page, while Apple M2 Max has 96GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.