Yes — the MacBook Pro M1 Max 64GB (64 GB LPDDR5) can run Llama-3.3-70B-Instruct. At Q4 with the default 8K context it needs ≈ 53.83 GB VRAM (weights 38.83 GB + KV cache 14.0 GB + 1 GB runtime overhead), which fits within 64 GB. Decode at Q4/8K: ≈ 3.6 tok/s (estimated, batch 1). FP16 needs ≈ 156.2 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 64GB on Amazon →
Fit & speed by quant and context
Quant
Context
VRAM needed
Fits?
tok/s (decode)
Q4
4K
46.83 GB
Yes
3.6±est.
Q4
8K default
53.83 GB
Yes
3.6±est.
Q4
32K
95.83 GB
No
4.6±est.
FP16
4K
149.2 GB
No
0.5±est.
FP16
8K default
156.2 GB
No
0.5±est.
FP16
32K
198.2 GB
No
0.3±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).