Can I run MemT-1.0-Nano on a Mac with 192 GB?

Yes

Its published weights (70.2 GB) fit in the 144 GB a Mac with 192 GB can use, with room for an unknown amount of context.

Full analysis of MemT-1.0-Nano Everything that runs on Mac with 192 GB Get the weights on Hugging Face

hf download MemTensor/MemT-1.0-Nano

Files and context on Mac with 192 GB

Each file of MemT-1.0-Nano (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 192 GB	Context (16-bit)	Context (8-bit)
As published	70.2 GB	Fits	not known	not known
4-bit (estimate)	19.8 GB	Fits	not known	not known

MemT-1.0-Nano on other hardware

NVIDIA H100Probably, at 4-bit
RTX 5090Probably, at 4-bit
RTX 4090No
RTX 3090No
RTX 5060 Ti 16 GBNo
RTX 3060 12 GBNo
RTX 4060No
Mac with 32 GBNo
Mac with 64 GBProbably, at 4-bit
Mac with 128 GBYes
Mac with 192 GBYes

Popular models that run on Mac with 192 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
gemma-4-26B-A4B-itgoogle · 25.8B
Qwen2.5-7B-InstructQwen · 7.62B
Qwen3.5-9BQwen · 9.65B

Assumes 75% 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.