Can I run Smaug-Humanizer on a Mac with 36 GB?

Probably, at 4-bit

The published weights are too big, but a 4-bit version (about 6.73 GB) would fit, with room for ≈ 252K tokens of context. The site hasn't analyzed a GGUF of Smaug-Humanizer yet.

Full analysis of Smaug-Humanizer Everything that runs on Mac with 36 GB

Files and context on Mac with 36 GB

Each file of Smaug-Humanizer (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 36 GB	Context (16-bit)	Context (8-bit)
As published	23.9 GB	Doesn't fit	204	409
4-bit (estimate)	6.73 GB	Fits	252K	256K

Smaug-Humanizer on other hardware

NVIDIA H100Yes
RTX 5090Yes, just
RTX 4090Probably, at 4-bit
RTX 3090Probably, at 4-bit
RTX 5060 Ti 16 GBProbably, at 4-bit
RTX 3060 12 GBProbably, at 4-bit
RTX 4060No
Mac with 32 GBProbably, at 4-bit
Mac with 36 GBProbably, at 4-bit
Mac with 64 GBYes
Mac with 128 GBYes

Popular models that run on Mac with 36 GB

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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.