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Can MacBook Pro M3 Max 128GB run Llama-4-Scout-17B-16E-Instruct?

Apple · 128 GB LPDDR5 · 400 GB/s bandwidth · Meta · 109.0B (active 17.0B) · MoE · model ctx up to 10240K

Yes — the MacBook Pro M3 Max 128GB (128 GB LPDDR5) can run Llama-4-Scout-17B-16E-Instruct. At Q4 with the default 8K context it needs ≈ 64.35 GB VRAM (weights 59.95 GB + KV cache 3.4 GB + 1 GB runtime overhead), which fits within 128 GB. Decode at Q4/8K: ≈ 15.0 tok/s (estimated, batch 1). FP16 needs ≈ 222.4 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

QuantContextVRAM neededFits?tok/s (decode)
Q44K62.65 GBYes15.0 est.
Q48K default64.35 GBYes15.0 est.
Q432K74.55 GBYes15.0 est.
FP164K220.7 GBNo4.0 est.
FP168K default222.4 GBNo3.9 est.
FP1632K232.6 GBNo3.6 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).

VRAM breakdown at 8K context

QuantWeightsKV cacheOverheadTotal neededMacBook Pro M3 Max 128GB VRAM
Q459.95 GB3.4 GB1 GB64.35 GB128 GB
FP16218.0 GB3.4 GB1 GB222.4 GB128 GB

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