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

Can I run Qwen3.8-27B-Coder390-EfficientThink-Opus5.5-GPT6Astra-Grok4.7-DSV4Pro-K3-SFT-RLOO-MTP-DFlash2 on a Mac with 32 GB?

Yes, just

Its Qwen3.8-27B-Coder390-EfficientThink-Q4LynnStyle-Q8MTP file (19.8 GB) fits in the 21.3 GB a Mac with 32 GB can use, with room for ≈ 20K tokens of context.

Full analysis of Qwen3.8-27B-Coder390-EfficientThink-Opus5.5-GPT6Astra-Grok4.7-DSV4Pro-K3-SFT-RLOO-MTP-DFlash2 Everything that runs on Mac with 32 GB Get the Qwen3.8-27B-Coder390-EfficientThink-Q4LynnStyle-Q8MTP file on Hugging Face
ollama run hf.co/nerkyor/Qwen3.8-27B-Coder390-EfficientThink-Opus5.5-GPT6Astra-Grok4.7-DSV4Pro-K3-SFT-RLOO-MTP-DFlash2

Files and context on Mac with 32 GB

Each file of Qwen3.8-27B-Coder390-EfficientThink-Opus5.5-GPT6Astra-Grok4.7-DSV4Pro-K3-SFT-RLOO-MTP-DFlash2 (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)
Q8_029.1 GBDoesn't fit——
Q6_K23.2 GBDoesn't fit——
Qwen3.8-27B-Coder390-EfficientThink-Q4LynnStyle-Q8MTP19.8 GBTight20K40K
Qwen3.8-27B-Coder390-EfficientThink-Q4LynnStyle-MTP19.6 GBTight23K46K
Qwen3.8-27B-Coder390-EfficientThink-Q3LynnStyle-Q8MTP17.5 GBTight55K109K
Qwen3.8-27B-Coder390-EfficientThink-Q3LynnStyle-MTP17.3 GBTight58K116K
Qwen3.8-27B-Coder390-EfficientThink-Q2LynnStyle-Q8MTP13.5 GBFits115K229K
Qwen3.8-27B-Coder390-Q3LynnStyle16G-MTP13.3 GBFits118K236K
Qwen3.8-27B-Coder390-EfficientThink-Q2LynnStyle-MTP13.3 GBFits118K236K

Qwen3.8-27B-Coder390-EfficientThink-Opus5.5-GPT6Astra-Grok4.7-DSV4Pro-K3-SFT-RLOO-MTP-DFlash2 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.