* feat: adjust scoring to avoid useless iteration
Adjusts the scoring function to avoid targeting meaninglessly low KL divergences.
Below a threshold value, the KL divergence score switches to the refusal count.
Adds config option kl_divergence_target (defaulting to 0.01).
* fix: Clean up parameter selection in objective
Create variables for num_layers and last_layer_index
* Improves readability and makes choices explicit
* feat: Print the parameters of the selected model
* add max_memory parameter to limit memory usage
* Added to reload_model also
* forgot to add self
* Process max_memory once in __init__ and store it as an instance variable, then reuse it in both locations
Spiky Moth