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Can I run this LLM?

Can a MacBook Air / Mac mini M2 (24GB) run Muse Glimmer 30B?

Muse · Apache 2.0 · estimated for a 24.0 GB machine at 4K context.

Yes, but it's tight.

Tight / slow

Best fit: Muse Glimmer 30B at Q2_K · 11.0 GB weights · 6–9 tok/s on a MacBook Air / Mac mini M2 (24GB).

Arena Text Overall · style-controlled

UnratedAmbiguous match

Ambiguous Arena identity; unrated

Arena identity is ambiguous. The Arena identifier omits the 30B size. An independent Arena alias-to-release binding is not yet verified. No rating is assigned or used for ranking. 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
12.0 GB
Weights + KV cache + runtime overhead
Estimated generation
6–9 tok/s
Estimated first token
~94s

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.

Muse Glimmer 30B quantizations on MacBook Air / Mac mini M2 (24GB), estimated at 4K context. Weights and total memory are shown separately.
QuantWeightsTotal memorySpeedFit
Q2_K11.0 GB12.0 GB6–9 tok/sTight / slow
Q3_K_M14.0 GB14.9 GB5–7 tok/sTight / slow
Q4_K_M17.3 GB18.2 GB— not residentWon't fit
Q5_K_M20.1 GB21.0 GB— not residentWon't fit
Q6_K23.4 GB24.3 GB— not residentWon't fit
Q8_029.6 GB30.5 GB— not residentWon't fit
FP1655.7 GB56.7 GB— not residentWon't fit

Ran Muse Glimmer 30B on a MacBook Air / Mac mini M2 (24GB)? Add your real numbers →