Can I run blip2-opt-2.7b on an NVIDIA B300?

Yes

Its published weights (15.0 GB) fit in the 259 GB an NVIDIA B300 can use, with room for ≈ 728K tokens of context.

Full analysis of blip2-opt-2.7b Everything that runs on NVIDIA B300 Get the weights on Hugging Face

hf download Salesforce/blip2-opt-2.7b

Files and context on NVIDIA B300

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.

File	Size	On NVIDIA B300	Context (16-bit)	Context (8-bit)
As published	15.0 GB	Fits	728K	1.4M
4-bit (estimate)	2.11 GB	Fits	766K	1.5M

blip2-opt-2.7b on other hardware

NVIDIA B300Yes
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 128 GBYes

Popular models that run on NVIDIA B300

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gemma-4-26B-A4B-itgoogle · 25.8B
Qwen2.5-7B-InstructQwen · 7.62B
Qwen3.5-9BQwen · 9.65B

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.