Yes — the MacBook Pro M1 Max 32GB (32 GB LPDDR5) can run gpt-oss-20b. At Q4 with the default 8K context it needs ≈ 13.55 GB VRAM (weights 11.83 GB + KV cache 0.72 GB + 1 GB runtime overhead), which fits within 32 GB. Decode at Q4/8K: ≈ 70.7 tok/s (estimated, batch 1). FP16 needs ≈ 44.72 GB — does not fit on this card. Estimates come from memory-bandwidth math; rows tagged measured override estimates. Relative ranking is more reliable than absolute tok/s. Methodology. Buy MacBook Pro M1 Max 32GB on Amazon →
Fit & speed by quant and context
Quant
Context
VRAM needed
Fits?
tok/s (decode)
Q4
4K
13.19 GB
Yes
70.7±est.
Q4
8K default
13.55 GB
Yes
70.7±est.
Q4
32K
15.71 GB
Yes
70.7±est.
FP16
4K
44.36 GB
No
28.9±est.
FP16
8K default
44.72 GB
No
28.4±est.
FP16
32K
46.88 GB
No
25.8±est.
Fits = weights + KV(ctx) + 1 GB overhead ≤ 95% of VRAM. Measured anchors are context-agnostic; the fit verdict is recomputed per context. A missing tok/s means the model is far beyond this card (offload-only territory).