Yes — the MacBook Pro M1 Max 64GB (64 GB LPDDR5) can run Llama-3.1-8B-Instruct. At Q4 with the default 8K context it needs ≈ 7.0 GB VRAM (weights 4.4 GB + KV cache 1.6 GB + 1 GB runtime overhead), which fits within 64 GB. Decode at Q4/8K: ≈ 31.8 tok/s (estimated, batch 1). FP16 (≈ 18.6 GB) also fits, at ≈ 8.8 tok/s (estimated). 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
6.2 GB
Yes
31.8±est.
Q4
8K default
7.0 GB
Yes
31.8±est.
Q4
32K
11.8 GB
Yes
31.8±est.
FP16
4K
17.8 GB
Yes
8.8±est.
FP16
8K default
18.6 GB
Yes
8.8±est.
FP16
32K
23.4 GB
Yes
8.8±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).