Can MacBook Pro M4 Max 128GB run Llama-3.1-70B-Instruct?
Apple · 128 GB LPDDR5X · 546 GB/s bandwidth ·
Meta · 70.6B · model ctx up to 128K
Yes — the MacBook Pro M4 Max 128GB (128 GB LPDDR5X) can run Llama-3.1-70B-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 128 GB. Decode at Q4/8K: ≈ 5.0 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.
Fit & speed by quant and context
Quant
Context
VRAM needed
Fits?
tok/s (decode)
Q4
4K
46.83 GB
Yes
5.0est.
Q4
8K default
53.83 GB
Yes
5.0est.
Q4
32K
95.83 GB
Yes
5.0est.
FP16
4K
149.2 GB
No
2.9est.
FP16
8K default
156.2 GB
No
2.6est.
FP16
32K
198.2 GB
No
1.6est.
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).