Can MacBook Pro M4 Max 128GB run Llama-3.1-8B-Instruct?
Apple · 128 GB LPDDR5X · 546 GB/s bandwidth ·
Meta · 8.0B · model ctx up to 128K
Yes — the MacBook Pro M4 Max 128GB (128 GB LPDDR5X) 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 128 GB. Decode at Q4/8K: ≈ 43.4 tok/s (estimated, batch 1). FP16 (≈ 18.6 GB) also fits, at ≈ 11.9 tok/s (estimated). Estimates come from memory-bandwidth math; rows tagged measured override estimates. Relative ranking is more reliable than absolute tok/s. Methodology.
Fit & speed by quant and context
Quant
Context
VRAM needed
Fits?
tok/s (decode)
Q4
4K
6.2 GB
Yes
43.4est.
Q4
8K default
7.0 GB
Yes
43.4est.
Q4
32K
11.8 GB
Yes
43.4est.
FP16
4K
17.8 GB
Yes
11.9est.
FP16
8K default
18.6 GB
Yes
11.9est.
FP16
32K
23.4 GB
Yes
11.9est.
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).