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I wouldn't mind throwing hardware after the problem, but I haven't yet found a "full" guide on how to set it up, it always ends up being something to run in Google Colab or similar.

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Hmm. I have full size bloom running on a server in my basement. It can be ran naively with about 400GB of ram. Using used hardware you can get that for about $1200. Still, with CPU inference, you're looking at about 5 mins per response.

With optimization, I have it down to 140GB of ram. Trying to get it under 120GB without loosing too much accuracy so it can be ran on standard desktop consumer hardware (who's limits are usually 128GB).

Given the lack of resources I have found I figured the general intrest was low? Maybe I will open source it and do a write up.

I think that would be an incredibly interesting write-up. There are many applications where a 5-min response time would be more than adequate. It could slowly churn through the inbox, while I'm not looking. Or parse customer emails and suggest replies for a rep to potentially use.

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