How much RAM does GLM-4.6 need?

GLM-4.6 needs about 220 GB of memory at Q4_K_M quantization with 4K context. The download itself is 215 GB; the extra covers the context cache and runtime overhead.

Can I run GLM-4.6 on a laptop?

Not on typical consumer hardware. GLM-4.6 needs 220 GB, which is beyond a normal laptop or desktop.

GLM-4.6: hardware requirements

GLM-4.6 needs about 220 GB of memory at Q4 quantization — a 215 GB download plus room for context and overhead. That is beyond consumer hardware; use it through an API instead.

Parameters

357B

Tier

Server only

Licence

See model card

Released

2025-09-30

Will it run on your machine?

8GB RAMNot enough memory 16GB RAMNot enough memory 24GB RAMNot enough memory 32GB RAMNot enough memory 64GB RAMNot enough memory 128GB RAMNot enough memory 8GB VRAMNot enough memory 12GB VRAMNot enough memory 16GB VRAMNot enough memory 24GB VRAMNot enough memory 32GB VRAMNot enough memory

Download sizes by quantization

Lower quantization means a smaller file and less memory, at some cost to quality. Q4_K_M is the usual starting point. What is this?

Quant	Download	RAM @ 4K	RAM @ 32K	Source
Q4_K_Mrecommended	215 GB	220 GB	231 GB	estimated
Q5_K_M	253 GB	258 GB	268 GB	estimated
Q6_K	293 GB	297 GB	308 GB	estimated
Q8_0	379 GB	384 GB	395 GB	estimated
BF16	714 GB	718 GB	729 GB	estimated

“Measured” sizes are read from published GGUF files. “Estimated” sizes are derived from the parameter count and are typically within a few percent. The RAM columns add the context cache and runtime overhead to the download size.

Other sizes of GLM-4.6

GLM-4.6V-Flash10B · 7.0 GB GLM-4.6V108B · 69 GB

Model card on HuggingFace →API specs & pricing →Verified 2026-09-13Tracked for 12 months after release