Model Anatomy See what's inside open-weight AI models

Can I run blip2-opt-2.7b on a Mac with 16 GB?

Probably, at 4-bit

The published weights are too big, but a 4-bit version (about 2.11 GB) would fit, with room for ≈ 26K tokens of context. The site hasn't analyzed a GGUF of blip2-opt-2.7b yet.

Full analysis of blip2-opt-2.7b Everything that runs on Mac with 16 GB

Files and context on Mac with 16 GB

Each file of blip2-opt-2.7b (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.

FileSizeOn Mac with 16 GB Context (16-bit)Context (8-bit)
As published15.0 GBDoesn't fit——
4-bit (estimate)2.11 GBFits26K51K

blip2-opt-2.7b on other hardware

Popular models that run on Mac with 16 GB

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.