Can MacBook Pro M3 Max 128GB run Llama-3.2-1B-Instruct?
Apple · 128 GB LPDDR5 · 400 GB/s bandwidth ·
Meta · 1.2B · model ctx up to 128K
Yes — the MacBook Pro M3 Max 128GB (128 GB LPDDR5) can run Llama-3.2-1B-Instruct. At Q4 with the default 8K context it needs ≈ 1.9 GB VRAM (weights 0.66 GB + KV cache 0.24 GB + 1 GB runtime overhead), which fits within 128 GB. Decode at Q4/8K: ≈ 212.1 tok/s (estimated, batch 1). FP16 (≈ 3.64 GB) also fits, at ≈ 58.3 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
1.78 GB
Yes
212.1est.
Q4
8K default
1.9 GB
Yes
212.1est.
Q4
32K
2.62 GB
Yes
212.1est.
FP16
4K
3.52 GB
Yes
58.3est.
FP16
8K default
3.64 GB
Yes
58.3est.
FP16
32K
4.36 GB
Yes
58.3est.
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).