Xturing

Evaluation and documentation, CPU support
- [Evaluation](https://github.com/stochasticai/xTuring/blob/main/examples/evaluation/evaluation.py) of finetuned models, thanks to tushar2407.
- Llama2 model support and enchantments of Generic models.
- Batch size support for both evaluation and generation.
- CPU inference and finetuning.
- Documentation and examples, thanks to tushar2407.

INT4 models

- [INT4 Generic](https://github.com/stochasticai/xTuring/tree/main/examples/generic) model now supports large variety of open source models finetuning in INT4, thanks to tushar2407.
- All INT4 finetunings are now much stable and work on large variety of GPUs.
- Support of flags for models loading, thanks to msinha251.
- Documentation enchantment and bug fix, thanks to tushar2407.

- Changing `BaseModel` to work with `LoRA` after previous release, thanks to tushar2407

New models and logging

- [Generic](https://github.com/stochasticai/xTuring/tree/main/examples/generic) model to support large variety of open source models, thanks to tushar2407
- Falcon model support as a latest open source model release, thanks to tushar2407
- Documentation enchantment, again, big thanks to tushar2407
- Logger integration and refactoring, thanks to Georgehe4

Bugs and fixes

- Fixed issues with INT8 and INT4 model saving and loading after fine-tuning
- Dataset from different sources saving fixes
- Hub loading progress bar fixing, replaced old model formats
- Added generic Wandb integration, thanks to 180 by cnbeining

Bugs and fixes

- Improved default generation parameters for all models
- Fixed issue of both INT8 and INT4 generation like https://github.com/stochasticai/xturing/issues/167. Added correct model weights mapping for INT4
- Bumped `transformers` version to 4.28.1
- Fix hub recursive downloads