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I believe it's roughly the same size as the model files. If you look in the transformers folder you can see there are around 9 5gb files, so I would expect you need ~45gb vram on your GPU. Usually quantized versions of models are eventually released/created that can run on much less vram but with some quality loss.


Why doesn't huggingface list the aggregate model size?


I've been bugging them about this for a while. There are repos that contain multiple model weights in a single repo which means adding up the file sizes won't work universally, but I'd still find it useful to have a "repo size" indicator somewhere.

I ended up building my own tool for that: https://tools.simonwillison.net/huggingface-storage


HF does this for ggufs, and it’ll show you what quantizations will work on the GPU(s) you’ve selected. Hopefully that feature gets expanded to support more model types.


I've been wondering this for literally years now...


Huggingface is just a git hosting service, like github. You can add up the sizes of all the files in the directory yourself


That’s what we have computers for though - to compute.


Model size = file for fp8, so if this was released at fp16 then 40-ish, if it's quantized to fp4 then 10ish




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