Written by Jakub Rusinowski · Last updated August 15, 2026
Yes — comfortably
Yes, comfortably — GPT-OSS 20B at Q8_0 needs about 22.5 GB of the 48 GB usable on Mac mini (M4 Pro, 64 GB), leaving ~25.5 GB spare and running at ~6.8 tok/s (estimated), with room for about 131,072 tokens of context.
Confidence: high · Recommended quantization: Q8_0 · Estimated speed: ~6.8 tok/s
| Usable memory for models | 48 GB |
| Memory bandwidth | 273 GB/s |
| Form factor | Mini PC |
| Operating system | macOS |
| Memory upgradeable | No — soldered |
| Quant | Memory needed | Fits 48 GB? | Max context | Est. speed | Download |
|---|---|---|---|---|---|
| F16 | 41.2 GB | ✓ Yes | 128K | ~3.7 tok/s | 40 GB |
| Q8_0 | 22.5 GB | ✓ Yes | 128K | ~6.8 tok/s | 21.3 GB |
| Q6_K | 17.6 GB | ✓ Yes | 128K | ~8.8 tok/s | 16.4 GB |
| Q5_K_M | 15.4 GB | ✓ Yes | 128K | ~10.1 tok/s | 14.2 GB |
| Q4_K_M | 13.3 GB | ✓ Yes | 128K | ~11.8 tok/s | 12.1 GB |
| Q3_K_M | 9.7 GB | ✓ Yes | 128K | ~16.3 tok/s | 8.5 GB |
| Q2_K | 7.8 GB | ✓ Yes | 128K | ~20.7 tok/s | 6.6 GB |
| Variant | Needs at Q4_K_M | Fits? | Est. speed |
|---|---|---|---|
| GPT-oss 120B | 73.9 GB | ✗ Too large | — |
| GPT-OSS 20B | 13.3 GB | ✓ Fits | ~11.8 tok/s |
Ollama or LM Studio (Metal) — MLX for the fastest Apple-native throughput
Yes, comfortably — GPT-OSS 20B at Q8_0 needs about 22.5 GB of the 48 GB usable on Mac mini (M4 Pro, 64 GB), leaving ~25.5 GB spare and running at ~6.8 tok/s (estimated), with room for about 131,072 tokens of context.
Q8_0 — it needs about 22.5 GB of the 48 GB available, downloads as roughly 21.3 GB, and runs at an estimated 6.8 tokens/sec with up to 128K of context.
Nothing binding — the model fits with headroom and generates at a usable speed on this hardware.
Ollama or LM Studio (Metal) — MLX for the fastest Apple-native throughput