[TeMPOraL]

Problem is, the literal/default definition of "open source" is meaningless/worthless in this context. It's the weights, training data and methodology that matter for those models - NOT the inference shell.

It's basically like giving people a binary program and calling it open source because the compiler and runtime used are open source.

[jerpint]

The weights are the inference and result of training. I can give you all the training details and you might not be able to reproduce what I did (google does this all the time). As a dev, I’d much rather an open model over an open recipe without weights. We can all agree having both is the best case scenario but having openly licensed weights is for me the bare minimum of open source