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    use_bidirectional_attention (`bool`, *optional*):
        If True, the model will attend to all text tokens instead of using a causal mask.

    ```python
    >>> from transformers import GemmaModel, GemmaConfig
    >>> # Initializing a Gemma gemma-7b style configuration
    >>> configuration = GemmaConfig()
    >>> # Initializing a model from the gemma-7b style configuration
    >>> model = GemmaModel(configuration)
    >>> # Accessing the model configuration
    >>> configuration = model.config
    ```ÚgemmaÚpast_key_valuesÚcolwiseÚrowwise)zlayers.*.self_attn.q_projzlayers.*.self_attn.k_projzlayers.*.self_attn.v_projzlayers.*.self_attn.o_projzlayers.*.mlp.gate_projzlayers.*.mlp.up_projzlayers.*.mlp.down_projÚ	input_idsÚinputs_embedsÚhidden_statesÚattention_mask)Úembed_tokensÚlayersÚnormi è Ú
vocab_sizei   Úhidden_sizei `  Úintermediate_sizeé   Únum_hidden_layersé   Únum_attention_headsÚnum_key_value_headsé   Úhead_dimÚgelu_pytorch_tanhÚ
hidden_acti    Úmax_position_embeddingsg{®Gáz”?Úinitializer_rangeg�íµ ÷Æ°>Úrms_norm_epsTÚ	use_cacher   NÚpad_token_idé   Úeos_token_idé   Úbos_token_idÚtie_word_embeddingsÚrope_parametersFÚattention_biasg        Úattention_dropoutÚuse_bidirectional_attention)$Ú__name__Ú
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model_typeÚkeys_to_ignore_at_inferenceÚbase_model_tp_planÚbase_model_pp_planr   ÚintÚ__annotations__r   r   r   r   r   r   r!   Ústrr"   r#   Úfloatr$   r%   Úboolr&   r(   Úlistr*   r+   r,   r   Údictr-   r.   r/   © ó    úx/var/www/ramen.bs-engineer-server.com/venv/lib/python3.12/site-packages/transformers/models/gemma/configuration_gemma.pyr
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Úhuggingface_hub.dataclassesr   Úconfiguration_utilsr   Úmodeling_rope_utilsr   Úutilsr   r
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