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

Can I run MiniCPM-OCR-1.0-gguf on a Mac with 24 GB?

Yes

Its F16 file (1.52 GB) fits in the 16.0 GB a Mac with 24 GB can use, with room for ≈ 256K tokens of context.

Full analysis of MiniCPM-OCR-1.0-gguf Everything that runs on Mac with 24 GB Get the F16 file on Hugging Face
ollama run hf.co/openbmb/MiniCPM-OCR-1.0-gguf:F16

Files and context on Mac with 24 GB

Each file of MiniCPM-OCR-1.0-gguf (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 24 GB Context (16-bit)Context (8-bit)
F161.52 GBFits256K256K
Q8_0812 MBFits256K256K
Q6_K630 MBFits256K256K
Q5_1595 MBFits256K256K
Q5_K_M578 MBFits256K256K
Q5_0563 MBFits256K256K
Q5_K_S563 MBFits256K256K
Q4_1532 MBFits256K256K
Q4_K_M529 MBFits256K256K
Q4_K_S505 MBFits256K256K
Q4_0501 MBFits256K256K

MiniCPM-OCR-1.0-gguf on other hardware

Popular models that run on Mac with 24 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.