I do think this will be a useful metric, and it seems obvious that the hyperscalers will have a feature helping you keep track of energy use and emissions of the resources you rented. But why demand this on the level of an individual model/product? For these foundation models, I think it's reasonable to assume they will all be trained on hyperscaler-provided gpu-clusters, so there'll likely be an off-the-shelf funcitonality by AWS/Azure/GCP to report this number, but the draft of the EU AI Act also demands tracking energy use for other 'high-risk' AI systems which companies may plausibly train and/or deploy on-prem. Good luck tracking the per-token energy use of your model that's running on some on-prem server on last-gen GPUs.