shows detailed info about the GGUF file. This will include all the key-value pairs, including arrays, and detailed tensors informations. Tensor offsets will be relative to the start *of the file* (so they are actually absolute offsets), not the start of the data section like in the GGUF format.
For each matching tensor (same name and parameters count) compute the average weights difference. This is useful to see if a model is a finetune of another model, how much it was finetuned, which layers were frozen while finetuning and so forth. Note that becasue of quantization, even tensors that are functionally equivalent may have some small average difference.
Show all (if count is not specified, otherwise only the first _count_) weights values of the specified tensor. This is useful for low level stuff, like checking if quantization is working as expected, see the introduced error, model fingerprinting and so forth.
Note that split-mixtral is quite useless as models obtained in this way will not perform any useful action. This is just an experiment and a non trivial task to show how to use the library. Likely it will be removed soon, once I have more interesting and useful examples to show, like models merging.
