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Can MacBook Pro M1 Max 32GB run Qwen2.5-72B-Instruct?

Apple · 32 GB LPDDR5 · 400 GB/s bandwidth · Alibaba · 72.7B · model ctx up to 128K

FF · No FitComposite score: VRAM headroom × 0.5 + tok/s speed × 0.5. Q4 @ 8K context.
METAL

No — Qwen2.5-72B-Instruct at Q4 needs ≈ 48.26 GB even at 4K context, beyond the MacBook Pro M1 Max 32GB's 32 GB LPDDR5. It would only run with heavy CPU/disk offload. Decode at Q4/8K: ≈ 3.3 tok/s (estimated, batch 1). FP16 needs ≈ 160.94 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.

Cheapest GPU that can: H100 80GB SXM5 See fit details →or☁️ Rent on RunPod from ~$0.50/hr

Fit & speed by quant and context

QuantContextVRAM neededFits?tok/s (decode)
Q44K48.26 GBNo4.4 ± est.
Q48K default55.53 GBNo3.3 ± est.
Q432K99.15 GBNo1.0 ± est.
FP164K153.67 GBNo
FP168K default160.94 GBNo
FP1632K204.56 GBNo

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
Q439.99 GB14.54 GB1 GB55.53 GB32 GB
FP16145.4 GB14.54 GB1 GB160.94 GB32 GB

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