Model Anatomy See what's inside open-weight AI models

Can I run GLM-5.3-GGUF on a Mac with 512 GB?

Yes, just

Its UD-IQ4_XS file (365 GB) fits in the 384 GB a Mac with 512 GB can use, with room for ≈ 203K tokens of context.

Full analysis of GLM-5.3-GGUF Everything that runs on Mac with 512 GB Get the UD-IQ4_XS file on Hugging Face
llama-server -hf unsloth/GLM-5.3-GGUF:UD-IQ4_XS

Files and context on Mac with 512 GB

Each file of GLM-5.3-GGUF (and of GGUF versions the site has analyzed), and how much context fits next to it, with the context cache in 16-bit or 8-bit.

FileSizeOn Mac with 512 GB Context (16-bit)Context (8-bit)
BF161.51 TBDoesn't fit——
Q8_0801 GBDoesn't fit——
UD-Q6_K_XL684 GBDoesn't fit——
UD-Q5_K_XL562 GBDoesn't fit——
UD-Q4_K_XL467 GBDoesn't fit——
UD-IQ4_XS365 GBTight203K406K
UD-Q3_K_XL343 GBTight446K892K
UD-IQ3_XXS282 GBFits1M1M
UD-Q2_K_XL254 GBFits1M1M
UD-IQ2_M239 GBFits1M1M
UD-IQ1_M228 GBFits1M1M
UD-IQ1_S217 GBFits1M1M

GLM-5.3-GGUF on other hardware

Popular models that run on Mac with 512 GB

Assumes 75% of the Mac's memory is usable (macOS's default limit for the GPU; it can be raised) and at least 4K tokens of context for one conversation, with the context cache in 16-bit unless noted. Fits leaves at least 20% of that memory for context; Tight leaves less.