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Can I run MiniCPM-V-4.7-1B-gguf on an NVIDIA B300?

Yes

Its F16 file (2.02 GB) fits in the 259 GB an NVIDIA B300 can use, with room for ≈ 256K tokens of context.

Full analysis of MiniCPM-V-4.7-1B-gguf Everything that runs on NVIDIA B300 Get the F16 file on Hugging Face
ollama run hf.co/openbmb/MiniCPM-V-4.7-1B-gguf:F16

Files and context on NVIDIA B300

Each file of MiniCPM-V-4.7-1B-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 NVIDIA B300 Context (16-bit)Context (8-bit)
F162.02 GBFits256K256K
Q8_01.08 GBFits256K256K
Q6_K838 MBFits256K256K
Q5_1785 MBFits256K256K
Q5_K_M752 MBFits256K256K
Q5_0738 MBFits256K256K
Q5_K_S738 MBFits256K256K
Q4_1691 MBFits256K256K
Q4_K_M672 MBFits256K256K
IQ4_NL659 MBFits256K256K
Q4_K_S648 MBFits256K256K
Q4_0644 MBFits256K256K
IQ4_XS639 MBFits256K256K
IQ3_M563 MBFits256K256K
IQ3_XS552 MBFits256K256K
dspark-MiniCPM-V-4_7-1B-F16438 MBFits256K256K

MiniCPM-V-4.7-1B-gguf on other hardware

Popular models that run on NVIDIA B300

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.