Skip to content
can-i-run-this-llm

Can I run this LLM?

Can a MacBook Air/Pro M5 (16GB) run MiniCPM5 2B?

MiniCPM · Apache 2.0 · estimated for a 16.0 GB machine at 4K context.

Yes — it runs great.

Runs great

Best fit: MiniCPM5 2B at FP16 · 5.0 GB weights · 18–27 tok/s on a MacBook Air/Pro M5 (16GB).

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
6.0 GB
Weights + KV cache + runtime overhead
Estimated generation
18–27 tok/s
Estimated first token
~7.2s

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.

MiniCPM5 2B quantizations on MacBook Air/Pro M5 (16GB), estimated at 4K context. Weights and total memory are shown separately.
QuantWeightsTotal memorySpeedFit
Q2_K1.0 GB2.0 GB58–87 tok/sRuns great
Q3_K_M1.2 GB2.2 GB51–77 tok/sRuns great
Q4_K_M1.6 GB2.6 GB43–65 tok/sRuns great
Q5_K_M1.9 GB2.9 GB38–57 tok/sRuns great
Q6_K2.1 GB3.1 GB36–54 tok/sRuns great
Q8_02.7 GB3.7 GB30–45 tok/sRuns great
FP165.0 GB6.0 GB18–27 tok/sRuns great

Ran MiniCPM5 2B on a MacBook Air/Pro M5 (16GB)? Add your real numbers →