Can I run ThinkingCap-Qwen3.8-Flash-Next on a Mac with 32 GB?

Even its smallest file (4-bit (estimate), 101 GB) is more than a Mac with 32 GB can hold (21.3 GB usable): it needs a Mac with 192 GB.

Full analysis of ThinkingCap-Qwen3.8-Flash-Next Everything that runs on Mac with 32 GB

Files and context on Mac with 32 GB

Each file of ThinkingCap-Qwen3.8-Flash-Next (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	360 GB	Doesn't fit	—	—
4-bit (estimate)	101 GB	Doesn't fit	—	—

ThinkingCap-Qwen3.8-Flash-Next on other hardware

NVIDIA H100No
RTX 5090No
RTX 4090No
RTX 3090No
RTX 5060 Ti 16 GBNo
RTX 3060 12 GBNo
RTX 4060No
Mac with 32 GBNo
Mac with 64 GBNo
Mac with 128 GBNo

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.