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Can MacBook Pro M1 Max 32GB run Llama-3.2-3B-Instruct?

Apple · 32 GB LPDDR5 · 400 GB/s bandwidth · Meta · 3.2B · model ctx up to 128K

SS · ExcellentComposite score: VRAM headroom × 0.5 + tok/s speed × 0.5. Q4 @ 8K context.
METAL

Yes — the MacBook Pro M1 Max 32GB (32 GB LPDDR5) can run Llama-3.2-3B-Instruct. At Q4 with the default 8K context it needs ≈ 3.4 GB VRAM (weights 1.76 GB + KV cache 0.64 GB + 1 GB runtime overhead), which fits within 32 GB. Decode at Q4/8K: ≈ 79.5 tok/s (estimated, batch 1). FP16 (≈ 8.04 GB) also fits, at ≈ 21.9 tok/s (estimated). Estimates come from memory-bandwidth math; rows tagged measured override estimates. Relative ranking is more reliable than absolute tok/s. Methodology. Buy MacBook Pro M1 Max 32GB on Amazon →

Fit & speed by quant and context

QuantContextVRAM neededFits?tok/s (decode)
Q44K3.08 GBYes79.5 ± est.
Q48K default3.4 GBYes79.5 ± est.
Q432K5.32 GBYes79.5 ± est.
FP164K7.72 GBYes21.9 ± est.
FP168K default8.04 GBYes21.9 ± est.
FP1632K9.96 GBYes21.9 ± 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 M1 Max 32GB VRAM
Q41.76 GB0.64 GB1 GB3.4 GB32 GB
FP166.4 GB0.64 GB1 GB8.04 GB32 GB

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