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

Can I run gemma-4-12B-coder-fable5-composer2.5-v1-GGUF on a Mac with 16 GB?

Yes

Its Q4_K_M file (7.38 GB) fits in the 10.7 GB a Mac with 16 GB can use, with room for ≈ 19K tokens of context.

Full analysis of gemma-4-12B-coder-fable5-composer2.5-v1-GGUF Everything that runs on Mac with 16 GB Get the Q4_K_M file on Hugging Face
ollama run hf.co/yuxinlu1/gemma-4-12B-coder-fable5-composer2.5-v1-GGUF:Q4_K_M

Files and context on Mac with 16 GB

Each file of gemma-4-12B-coder-fable5-composer2.5-v1-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)
Q8_012.7 GBDoesn't fit——
Q6_K9.79 GBDoesn't fit2K8K
Q4_K_M7.38 GBFits19K44K
Q3_K_M6.09 GBFits29K63K
Q2_K4.83 GBFits38K82K

gemma-4-12B-coder-fable5-composer2.5-v1-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.