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Can I run Qwen3.8-27B-pi-GGUF on a Mac with 32 GB?

Yes, just

Its Q5_K_M file (19.2 GB) fits in the 21.3 GB a Mac with 32 GB can use, with room for ≈ 29K tokens of context.

Full analysis of Qwen3.8-27B-pi-GGUF Everything that runs on Mac with 32 GB Get the Q5_K_M file on Hugging Face
ollama run hf.co/bytkim/Qwen3.8-27B-pi-GGUF:Q5_K_M

Files and context on Mac with 32 GB

Each file of Qwen3.8-27B-pi-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 32 GB Context (16-bit)Context (8-bit)
BF1653.8 GBDoesn't fit——
Q8_028.6 GBDoesn't fit——
Q6_K22.1 GBDoesn't fit——
Q5_K_M19.2 GBTight29K58K
Q5_K_S18.7 GBTight37K74K
Q4_K_M16.5 GBFits69K138K
IQ4_NL15.8 GBFits80K160K
Q4_K_S15.6 GBFits83K167K
IQ4_XS15.1 GBFits91K182K
Q3_K_L14.3 GBFits102K204K
Q3_K_M13.3 GBFits117K235K
IQ3_M12.6 GBFits128K256K
Q3_K_S12.1 GBFits136K256K
IQ3_XS12.0 GBFits137K256K
Q2_K10.7 GBFits156K256K
IQ2_M10.0 GBFits167K256K
IQ2_S9.36 GBFits176K256K
IQ2_XS9.09 GBFits180K256K

Qwen3.8-27B-pi-GGUF on other hardware

Popular models that run on Mac with 32 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.