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

Can I run gemma-4-12b-it-GGUF on a Mac with 16 GB?

Yes, just

Its UD-Q5_K_XL file (8.61 GB) fits in the 10.7 GB a Mac with 16 GB can use, with room for ≈ 10K tokens of context.

Full analysis of gemma-4-12b-it-GGUF Everything that runs on Mac with 16 GB Get the UD-Q5_K_XL file on Hugging Face
ollama run hf.co/unsloth/gemma-4-12b-it-GGUF:UD-Q5_K_XL

Files and context on Mac with 16 GB

Each file of gemma-4-12b-it-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 16 GB Context (16-bit)Context (8-bit)
gemma-4-12b-it-BF1623.8 GBDoesn't fit——
UD-Q8_K_XL13.6 GBDoesn't fit——
gemma-4-12b-it-Q8_012.7 GBDoesn't fit——
UD-Q6_K_XL10.7 GBDoesn't fit——
Q6_K9.79 GBDoesn't fit2K8K
UD-Q5_K_XL8.61 GBTight10K26K
Q5_K_M8.41 GBFits12K29K
Q5_K_S8.20 GBFits13K32K
Q4_17.40 GBFits19K44K
UD-Q4_K_XL7.37 GBFits20K44K
Q4_K_M7.12 GBFits21K48K
Q4_K_S6.76 GBFits24K53K
Q4_06.74 GBFits24K54K
IQ4_NL6.72 GBFits24K54K
IQ4_XS6.38 GBFits27K59K
UD-Q3_K_XL6.02 GBFits30K64K
Q3_K_M5.69 GBFits32K69K
Q3_K_S5.14 GBFits36K77K
UD-Q2_K_XL4.66 GBFits40K84K
UD-IQ3_XXS4.64 GBFits40K85K
UD-IQ2_M4.21 GBFits43K91K

gemma-4-12b-it-GGUF on other hardware

Popular models that run on Mac with 16 GB

Assumes 67% 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.