[jononor]

You have to write all the code needed to do the modifications you are interested in. That is, there is no source code provided that can be used to make the modifications of interest. One also has to come up with suite le datasets, from scratch. Training setup and data is completely non trivial for a large language model. To replicate Llama would take hundreds of hours of engineering, at least.

[sailingparrot]

> You have to write all the code needed to do the modifications you are interested in. That is, there is no source code provided that can be used to make the modifications of interest.

Just like open source?

> Training setup and data is completely non trivial for a large language model. To replicate Llama would take hundreds of hours of engineering, at least.

The entire point of having the pre-trained weight released is to *not* have to do this. You just need to finetune, which can be done with very little data, depending on the task, and many open source toolkits, that work with those weights, exist to make this trivial.

[wrs]

I think maybe we’re talking past each other because it seems obvious to me and others that the weights are the output of the compilation process, whereas you seem to think they’re the input. Whether you can fine tune the weights is irrelevant to whether you got all the materials needed to make them in the first place (i.e., the source).

I can do all sorts of things by “fine tuning” Excel with formulas, but I certainly don’t have the source for Excel.