* Add `trust_remote_code` configuration option and apply it when loading models and tokenizers
* Default `trust_remote_code` to `None` and set it to `True` if previously `None` so the user wouldn't be asked multiple times
* Consistently access `trust_remote_code` from `self.settings` instead of the global `settings` object.
* Introduce `trusted_models` dictionary to manage and confirm `trust_remote_code` settings during model loading
* Assign `trust_remote_code` to `evaluate_model` in `trusted_models` instead of `model`
* Ensure projector is on the same device as the matrix for multi-GPU support
* Optimize memory management for loaded model weights
* Refactor memory management by removing unnecessary gc.collect() calls
* Optimize memory usage (#1)
* Improve memory management by explicitly deleting model layers and optimizing projector usage
* Optimize memory management by explicitly deleting the model and forcing garbage collection
* Add back deleted `empty_cache` call
* Fix broken file
* Remove unnecessary deletions
* Remove unnecessary empty_cache() calls
* Remove unused import of gc
* Duplicate `gc.collect` call in `empty_cache()`
* Move additional `gc.collect` call in front of `torch.x.empty_cache`
Nikolai Kolodziej