trategies: linear and dynamic. Their scaling factor must be an float greater than 1. The expected format
            is `{"type": strategy name, "factor": scaling factor}`. When using this flag, don't update
            `max_position_embeddings` to the expected new maximum. See the following thread for more information on how
            these scaling strategies behave:
            https://www.reddit.com/r/LocalLLaMA/comments/14mrgpr/dynamically_scaled_rope_further_increases/. This is an
            experimental feature, subject to breaking API changes in future versions.

        Example:

    ```python
    >>> from transformers import GPTNeoXConfig, GPTNeoXModel

    >>> # Initializing a GPTNeoX gpt-neox-20b style configuration
    >>> configuration = GPTNeoXConfig()

    >>> # Initializing a model (with random weights) from the gpt-neox-20b style configuration
    >>> model = GPTNeoXModel(configuration)  # doctest: +SKIP

    >>> # Accessing the model configuration
    >>> configuration = model.config  # doctest: +SKIP
    ```Zgpt_neox