Improve gguf tensor processing
Author: VladOS95-cyber
Pull request: yes

# What does this PR do?

Adding more and more architectures with custom weights conversion is making tensor processing system bigger, less flexible and readable. 
Improve GGUF tensor processing system in modeling_gguf_pytorch_utils.py by adding TensorProcessor class for general cases without custom weights changes and all necessary separated tensor processor classes based on architecture with custom process logic.

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## Who can review?
Regarding the task @SunMarc @LysandreJik @ArthurZucker .

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Comments:
Hey @SunMarc! I made some refactoring changes regarding tensor GGUF processing. Please, take a look. What do you think?

Hey @SunMarc! Just a kind ping, does it make sense to have these changes?

Hey @SunMarc , @Isotr0py! I made some refactoring based on your comments, please, take a look again.

Hey @SunMarc! Do you have any further comments or it looks good to you?

Hey @SunMarc! Just a kind reminder in order to not loose this PR.

The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_34515). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.

Feel free to merge when happy @SunMarc