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    ‚Štjò	  ã                   ó�   — d Z ddlmZ ddlmZ ddlmZ ddlmZ  ed¬¦  «        e G d	„ d
e¦  «        ¦   «         ¦   «         Z	d
gZ
dS )zStableLM model configurationé    )Ústricté   )ÚPreTrainedConfig)ÚRopeParameters)Úauto_docstringzstabilityai/stablelm-3b-4e1t)Ú
checkpointc                   ó�  ‡ — e Zd ZU dZdZdgZdZeed<   dZ	eed<   dZ
eed	<   d
Zeed<   d
Zeed<   d
Zeed<   dZeed<   dZeed<   dZeed<   dZeed<   dZeed<   dZeed<   dZeez  dz  ed<   dZeed<   dZeed<   dZeed<   dZeez  ed <   dZeez  ed!<   d"Zedz  ed#<   d"Z ee!e         z  dz  ed$<   dZ"edz  ed%<   ˆ fd&„Z#ˆ xZ$S )'ÚStableLmConfiga'  
    use_parallel_residual (`bool`, *optional*, defaults to `False`):
        Whether to use a "parallel" formulation in each Transformer layer, which can provide a slight training
        speedup at large scales.
    hidden_dropout (`float`, *optional*, defaults to 0.0):
        The dropout ratio after applying the MLP to the hidden states.

    Example:

    ```python
    >>> from transformers import StableLmModel, StableLmConfig

    >>> # Initializing a StableLM stablelm-3b style configuration
    >>> configuration = StableLmConfig()
    ```ÚstablelmÚpast_key_valuesi€Ä  Ú
vocab_sizei   Úintermediate_sizei 
  Úhidden_sizeé    Únum_hidden_layersÚnum_attention_headsÚnum_key_value_headsÚsiluÚ
hidden_acti   Úmax_position_embeddingsg{®Gáz”?Úinitializer_rangegñhãˆµøä>Úlayer_norm_epsTÚ	use_cacheFÚtie_word_embeddingsNÚrope_parametersÚuse_qkv_biasÚqk_layernormÚuse_parallel_residualg        Úhidden_dropoutÚattention_dropoutr   Úbos_token_idÚeos_token_idÚpad_token_idc                 óf   •— |                      dd¦  «          t          ¦   «         j        di |¤Ž d S )NÚpartial_rotary_factorg      Ð?© )Ú
setdefaultÚsuperÚ__post_init__)ÚselfÚkwargsÚ	__class__s     €úq/var/www/html/CA-Chatbot/venv/lib/python3.11/site-packages/transformers/models/stablelm/configuration_stablelm.pyr)   zStableLmConfig.__post_init__C   s=   ø€ Ø×ÒÐ1°4Ñ8Ô8Ð8Ø�‰ŒÔÐ'Ð' Ð'Ð'Ð'Ð'Ð'ó    )%Ú__name__Ú
__module__Ú__qualname__Ú__doc__Ú
model_typeÚkeys_to_ignore_at_inferencer   ÚintÚ__annotations__r   r   r   r   r   r   Ústrr   r   Úfloatr   r   Úboolr   r   r   Údictr   r   r   r   r    r!   r"   Úlistr#   r)   Ú__classcell__)r,   s   @r-   r
   r
      sÔ  ø€ € € € € € ðð ð  €JØ#4Ð"5Ðà€J�ÐÐÑØ!Ð�sÐ!Ð!Ñ!Ø€K�ÐÐÑØÐ�sÐÐÑØ!Ð˜Ð!Ð!Ñ!Ø!Ð˜Ð!Ð!Ñ!Ø€J�ÐÐÑØ#'Ð˜SÐ'Ð'Ñ'Ø#Ð�uÐ#Ð#Ñ#Ø"€N�EÐ"Ð"Ñ"Ø€IˆtÐÐÑØ %Ð˜Ð%Ð%Ñ%Ø48€O�^ dÑ*¨TÑ1Ð8Ð8Ñ8Ø€L�$ÐÐÑØ€L�$ÐÐÑØ"'Ð˜4Ð'Ð'Ñ'Ø"%€N�E˜C‘KÐ%Ð%Ñ%Ø%(Ð�u˜s‘{Ð(Ð(Ñ(Ø €L�#˜‘*Ð Ð Ñ Ø+,€L�#˜˜Sœ	‘/ DÑ(Ð,Ð,Ñ,Ø#€L�#˜‘*Ð#Ð#Ñ#ð(ð (ð (ð (ð (ð (ð (ð (ð (r.   r
   N)r2   Úhuggingface_hub.dataclassesr   Úconfiguration_utilsr   Úmodeling_rope_utilsr   Úutilsr   r
   Ú__all__r&   r.   r-   ú<module>rB      s´   ðð #Ð "à .Ð .Ð .Ð .Ð .Ð .à 3Ð 3Ð 3Ð 3Ð 3Ð 3Ø 1Ð 1Ð 1Ð 1Ð 1Ð 1Ø #Ð #Ð #Ð #Ð #Ð #ð €Ð9Ð:Ñ:Ô:Øð,(ð ,(ð ,(ð ,(ð ,(Ð%ñ ,(ô ,(ñ „ñ ;Ô:ð,(ð^ Ð
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