How much RAM does GLM-5.2 need?

GLM-5.2 needs about 485 GB of memory at Q4_K_M quantization with 4K context. The download itself is 466 GB; the extra covers the context cache and runtime overhead.

Can I run GLM-5.2 on a laptop?

Not on typical consumer hardware. GLM-5.2 needs 485 GB, which is beyond a normal laptop or desktop.

GLM-5.2: hardware requirements

GLM-5.2 needs about 485 GB of memory at Q4 quantization — a 466 GB download plus room for context and overhead. That is beyond consumer hardware; use it through an API instead.

Parameters

753B

Tier

Server only

Licence

mit

Released

2026-06-16

Will it run on your machine?

8GB RAMNot enough memory 16GB 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	466 GB	485 GB	595 GB	measured
Q5_K_M	561 GB	580 GB	690 GB	measured
Q6_K	626 GB	645 GB	755 GB	measured
Q8_0	801 GB	820 GB	930 GB	measured
BF16	1508 GB	1527 GB	1637 GB	measured

“Measured” sizes are read from published GGUF files (unsloth/GLM-5.2-GGUF). “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.

Model card on HuggingFace →API specs & pricing →Verified 2026-08-03