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

Can I run MiniCPM5-2B-GGUF on an RTX 5060 Ti 16 GB?

Yes

Its F16 file (5.04 GB) fits in the 14.4 GB an RTX 5060 Ti 16 GB can use, with room for ≈ 128K tokens of context.

Full analysis of MiniCPM5-2B-GGUF Everything that runs on RTX 5060 Ti 16 GB Get the F16 file on Hugging Face
ollama run hf.co/openbmb/MiniCPM5-2B-GGUF:F16

Files and context on RTX 5060 Ti 16 GB

Each file of MiniCPM5-2B-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 RTX 5060 Ti 16 GB Context (16-bit)Context (8-bit)
F165.04 GBFits128K128K
Q8_02.68 GBFits128K128K
Q4_K_M1.56 GBFits128K128K

MiniCPM5-2B-GGUF on other hardware

Popular models that run on RTX 5060 Ti 16 GB

Assumes 90% of the card's memory is usable 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.