this post was submitted on 03 Jun 2024
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As a rough rule of thumb, if it's running locally on a CPU with acceptable performance, the environmental impact is going to be minimal, or at least within socially acceptable bounds.
This elides whatever resources were used in training/development. Which in the cases of ML models is quite often not minimal. Even the diy things you can train yourself make a significant dent. And there’s likely to be an ongoing cost of this too, because of updates