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Can I run this LLM?

Can a MacBook Pro / Mac Studio M5 Max (128GB) run North Mini Code 1.0 (MoE)?

North · Apache 2.0 · estimated for a 128.0 GB machine at 4K context.

Yes — it runs great.

Runs great

Best fit: North Mini Code 1.0 (MoE) at FP16 · 61.0 GB weights · 47–70 tok/s on a MacBook Pro / Mac Studio M5 Max (128GB).

Arena Text Overall · style-controlled

UnratedNo exact match

No reviewed exact Arena match

No reviewed exact model/configuration match in the Arena Text Overall style-controlled snapshot. No family or editorial score is substituted. Local quantization quality is unmeasured.

Snapshot published 2026-10-08 · snapshot imported 2026-10-11 UTC · validated last-good data · manual refresh

Arena leaderboard dataset · Arena / lmarena-ai, Arena Leaderboard Dataset (CC BY 4.0). Selected Text Overall style-controlled rows; field names adapted, ratings unchanged. · dataset CC BY 4.0 · revision e16f90232986

Total memory at 4K context
62.2 GB
Weights + KV cache + runtime overhead
Estimated generation
47–70 tok/s
Estimated first token
~2.1s

Every quantization on this machine

On small screens, each quant lists every metric below its name. On wider screens, scroll sideways for total memory, speed and fit. Keyboard: focus the table, then use the arrow keys. Quant names stay visible.

North Mini Code 1.0 (MoE) quantizations on MacBook Pro / Mac Studio M5 Max (128GB), estimated at 4K context. Weights and total memory are shown separately.
QuantWeightsTotal memorySpeedFit
Q2_K10.5 GB11.7 GB107–161 tok/sRuns great
Q3_K_M14.2 GB15.4 GB98–147 tok/sRuns great
Q4_K_M19.2 GB20.4 GB88–132 tok/sRuns great
Q5_K_M23.0 GB24.2 GB82–122 tok/sRuns great
Q6_K25.5 GB26.7 GB78–116 tok/sRuns great
Q8_032.4 GB33.7 GB69–103 tok/sRuns great
FP1661.0 GB62.2 GB47–70 tok/sRuns great

Ran North Mini Code 1.0 (MoE) on a MacBook Pro / Mac Studio M5 Max (128GB)? Add your real numbers →