Autor: Jakub Rusinowski · Ostatnia aktualizacja: 15 sierpnia 2026
Yes
Yes — GPT-oss 120B at Q5_K_M needs about 84.2 GB of the 96 GB usable on MacBook Pro 16" (M5 Max, 128 GB) (~11.8 GB spare), at ~68.3 tok/s (estimated), with room for about 131,072 tokens of context.
Confidence: high · Recommended quantization: Q5_K_M · Estimated speed: ~68.3 tok/s
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| Usable memory for models | 96 GB |
| Memory bandwidth | 614 GB/s |
| Form factor | Laptop |
| Operating system | macOS |
| Memory upgradeable | No — soldered |
| Quant | Memory needed | Fits 96 GB? | Max context | Est. speed | Download |
|---|---|---|---|---|---|
| F16 | 235 GB | ✗ No | — | — | 233.6 GB |
| Q8_0 | 125.5 GB | ✗ No | — | — | 124.1 GB |
| Q6_K | 97.2 GB | ✗ No | — | — | 95.8 GB |
| Q5_K_M | 84.2 GB | ✓ Yes | 128K | ~68.3 tok/s | 82.8 GB |
| Q4_K_M | 71.9 GB | ✓ Yes | 128K | ~76.6 tok/s | 70.5 GB |
| Q3_K_M | 51.2 GB | ✓ Yes | 128K | ~96.6 tok/s | 49.8 GB |
| Q2_K | 39.8 GB | ✓ Yes | 128K | ~112.6 tok/s | 38.4 GB |
| Variant | Needs at Q4_K_M | Fits? | Est. speed |
|---|---|---|---|
| GPT-oss 120B | 71.9 GB | ✓ Fits | ~76.6 tok/s |
| GPT-OSS 20B | 13.8 GB | ✓ Fits | ~99.4 tok/s |
Ollama or LM Studio (Metal) — MLX for the fastest Apple-native throughput
Yes — GPT-oss 120B at Q5_K_M needs about 84.2 GB of the 96 GB usable on MacBook Pro 16" (M5 Max, 128 GB) (~11.8 GB spare), at ~68.3 tok/s (estimated), with room for about 131,072 tokens of context.
Q5_K_M — it needs about 84.2 GB of the 96 GB available, downloads as roughly 82.8 GB, and runs at an estimated 68.3 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