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Can I run this LLM?

Can a Laptop CPU, DDR5 dual-channel (16GB) run GLM-4 9B?

GLM · MIT · estimated for a 16.0 GB machine at 4K context.

Yes, but it's tight.

Tight / slow

Best fit: GLM-4 9B at Q2_K · 4.0 GB weights · 6–8 tok/s on a Laptop CPU, DDR5 dual-channel (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
5.0 GB
Weights + KV cache + runtime overhead
Estimated generation
6–8 tok/s
Estimated first token
~3m

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.

GLM-4 9B quantizations on Laptop CPU, DDR5 dual-channel (16GB), estimated at 4K context. Weights and total memory are shown separately.
QuantWeightsTotal memorySpeedFit
Q2_K4.0 GB5.0 GB6–8 tok/sTight / slow
Q3_K_M5.0 GB5.9 GB5–7 tok/sTight / slow
Q4_K_M6.2 GB7.1 GB4–6 tok/sTight / slow
Q5_K_M7.1 GB8.0 GB3–5 tok/sTight / slow
Q6_K8.3 GB9.2 GB3–4 tok/sTight / slow
Q8_010.0 GB11.0 GB2–4 tok/sTight / slow
FP1618.8 GB19.8 GB— not residentWon't fit
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