What GPU do I need to run Salesforce/blip2-flan-t5-xl?
3.9B parameters, published in F32. View on Hugging Face
blip2-flan-t5-xl is published by Salesforce on Hugging Face, with 132,983 downloads and 93 likes to date. It's a Blip2ForConditionalGeneration model built for image-text-to-text, published natively in F32.
VRAM required & cheapest live GPU fit
Required VRAM = weight size at each precision, plus a fixed overhead for KV-cache, activations, and fragmentation. Full formula and assumptions: methodology.
A GPU is only matched to a row if its hardware supports that precision, and the primary recommendation is always a single-GPU fit when one exists.
INT4 caveat: requires a quantized checkpoint actually published for this model, check its Hugging Face page before relying on this row.
Cheapest way to run blip2-flan-t5-xl at its published (F32) precision: 1× P40 on akash, at $0.137/hr per GPU ($0.137/hr total). Quantizing to FP8 or INT4 (rows above) can cost less, but requires a compatible quantized checkpoint to exist for this model.
Weight-to-VRAM math, the fit rules, and how live prices are normalized: full methodology.
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