Can I run Ling-3.0-tiny on a Mac with 96 GB?

Yes

Its published weights (15.8 GB) fit in the 72.0 GB a Mac with 96 GB can use, with room for an unknown amount of context.

Full analysis of Ling-3.0-tiny Everything that runs on Mac with 96 GB Get the weights on Hugging Face

hf download inclusionAI/Ling-3.0-tiny

Files and context on Mac with 96 GB

Each file of Ling-3.0-tiny (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 96 GB	Context (16-bit)	Context (8-bit)
As published	15.8 GB	Fits	not known	not known
4-bit (estimate)	4.44 GB	Fits	not known	not known

Ling-3.0-tiny on other hardware

NVIDIA H100Yes
RTX 5090Yes
RTX 4090Yes
RTX 3090Yes
RTX 5060 Ti 16 GBProbably, at 4-bit
RTX 3060 12 GBProbably, at 4-bit
RTX 4060Probably, at 4-bit
Mac with 32 GBYes
Mac with 64 GBYes
Mac with 96 GBYes
Mac with 128 GBYes

Popular models that run on Mac with 96 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.