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Can MacBook Pro M3 Max 128GB run AI21-Jamba-Large-1.5?

Apple · 128 GB LPDDR5 · 400 GB/s bandwidth · ai21labs · 398.6B · model ctx up to NoneK

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

No — AI21-Jamba-Large-1.5 at Q4 needs ≈ 260.09 GB even at 4K context, beyond the MacBook Pro M3 Max 128GB's 128 GB LPDDR5. It would only run with heavy CPU/disk offload. Decode at Q4/8K: ≈ 0.3 tok/s (estimated, batch 1). FP16 needs ≈ 877.92 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: DGX Spark (GH200 480GB) See fit details →or☁️ Rent on RunPod from ~$0.50/hr

Fit & speed by quant and context

QuantContextVRAM neededFits?tok/s (decode)
Q44K260.09 GBNo0.4 ± est.
Q48K default299.95 GBNo0.3 ± est.
Q432K539.11 GBNo
FP164K838.06 GBNo
FP168K default877.92 GBNo
FP1632K1117.08 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 M3 Max 128GB VRAM
Q4219.23 GB79.72 GB1 GB299.95 GB128 GB
FP16797.2 GB79.72 GB1 GB877.92 GB128 GB

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