> Model weights aren't software so there's not an automatic correspondence between the freedoms, but the essential one you might think you need the training dat

> Model weights aren't software so there's not an automatic correspondence between the freedoms, but the essential one you might think you need the training data for is freedom to modify and inspect the source. Models aren't just the weights, but also the list of operations to perform using those weights. I haven't heard a good definition that allows for neural network models to not be software, but allows any other table lookup heavy signal processing algorithm to be software. > Modification is fine tuning which you're free to do if you have the weights. And the model weights + code fully define a system that can be interrogated to give a practitioner relevant info about how the model works (within our understanding) that the training data isn't needed or relevant for. I don't see that any freedom on use or inspection is violated by not having the data. Mistral wouldn't constrain themselves to fine tuning if they have a big enough change, they would go back to their build pipeline. This argument sounds a lot like 'there's nothing stopping you from patching the binary, so that's basically as good as source'.