Can I run Qwen3.6-27B-int4-AutoRound on a Mac with 32 GB?

Yes, just

Its published weights (19.0 GB) fit in the 21.3 GB a Mac with 32 GB can use, with room for ≈ 33K tokens of context.

Full analysis of Qwen3.6-27B-int4-AutoRound Everything that runs on Mac with 32 GB Get the weights on Hugging Face

hf download Lorbus/Qwen3.6-27B-int4-AutoRound

Files and context on Mac with 32 GB

Each file of Qwen3.6-27B-int4-AutoRound (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.

File	Size	On Mac with 32 GB	Context (16-bit)	Context (8-bit)
As published	19.0 GB	Tight	33K	65K
4-bit (estimate)	15.6 GB	Fits	83K	165K

Qwen3.6-27B-int4-AutoRound on other hardware

NVIDIA H100Yes
RTX 5090Yes
RTX 4090Yes, just
RTX 3090Yes, just
RTX 5060 Ti 16 GBNo
RTX 3060 12 GBNo
RTX 4060No
Mac with 32 GBYes, just
Mac with 64 GBYes
Mac with 128 GBYes

Popular models that run on Mac with 32 GB

Qwen3-0.6BQwen · 752M
Qwen3-VL-8B-InstructQwen · 8.77B
gpt2openai-community · 137M
Qwen3-8BQwen · 8.19B
Qwen3-Coder-30B-A3B-Instruct-GGUFunsloth · 30.5B
Qwen2.5-7B-InstructQwen · 7.62B
Qwen3.5-9BQwen · 9.65B
Qwen2.5-0.5B-InstructQwen · 494M

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.