+
    œ°³j³  ã                   ól   € R t ^ RIHt ^RIHt ^RIHt ]! RR7      ] ! R R]4      4       4       tR.tR# )	zGPT-J model configuration)Ústrict)ÚPreTrainedConfig)Úauto_docstringzEleutherAI/gpt-j-6B)Ú
checkpointc                   ó�   a € ] tR t^t o RtRtRRRRRRR	R
/tRtRtRt	^t
^t^@tRtRtRtRtRtRtRtRtRtRtRtRtV 3R ltRtV tR# )Ú
GPTJConfigaÄ  
rotary_dim (`int`, *optional*, defaults to 64):
    Number of dimensions in the embedding that Rotary Position Embedding is applied to.

Example:

```python
>>> from transformers import GPTJModel, GPTJConfig

>>> # Initializing a GPT-J 6B configuration
>>> configuration = GPTJConfig()

>>> # Initializing a model from the configuration
>>> model = GPTJModel(configuration)

>>> # Accessing the model configuration
>>> configuration = model.config
```ÚgptjÚmax_position_embeddingsÚn_positionsÚhidden_sizeÚn_embdÚnum_attention_headsÚn_headÚnum_hidden_layersÚn_layeriàÄ  i   i   NÚgelu_newg        gñhãˆµøä>g{®Gáz”?TiPÄ  Fc                óz  <€ V ^8„  d   Qh/ S[ ;R&   S[ ;R&   S[ ;R&   S[ ;R&   S[ ;R&   S[ ;R&   S[ R,          ;R&   S[;R	&   S[S[ ,          ;R
&   S[S[ ,          ;R&   S[S[ ,          ;R&   S[;R&   S[;R&   S[;R&   S[ R,          ;R&   S[ S[S[ ,          ,          R,          ;R&   S[ R,          ;R&   S[;R&   # )é   Ú
vocab_sizer
   r   r   r   Ú
rotary_dimNÚn_innerÚactivation_functionÚresid_pdropÚ
embd_pdropÚ
attn_pdropÚlayer_norm_epsilonÚinitializer_rangeÚ	use_cacheÚbos_token_idÚeos_token_idÚpad_token_idÚtie_word_embeddings)ÚintÚstrÚfloatÚboolÚlist)ÚformatÚ__classdict__s   "€Úl/home/luca/screen-checking/.venv/lib/python3.14/site-packages/transformers/models/gptj/configuration_gptj.pyÚ__annotate__ÚGPTJConfig.__annotate__   s4  ø‡ ‚ ñ< Ññ= ñ> Ññ? ñ@ ÑñA ñB ÑñC ñD ÑñE ñF ÑñG ñH �4�ZÑñI ñJ Ñ)ñK ñL ™•Ñ"ñM ñN ™•Ñ!ñO ñP ™•Ñ!ñQ ñR Ñ$ñS ñT Ñ#ñU ñV ÑñW ñX ˜•*Ñ$ñY ñZ ™™S�	•/ DÕ(Ñ0ñ[ ñ\ ˜•*Ñ#ñ] ñ^ Ñ%ò_ ó    © )Ú__name__Ú
__module__Ú__qualname__Ú__firstlineno__Ú__doc__Ú
model_typeÚattribute_mapr   r
   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r    r!   Ú__annotate_func__Ú__static_attributes__Ú__classdictcell__)r(   s   @r)   r   r      s”   ø‡ € ñð& €Jà! =Ø�xØ˜xØ˜Yð	€Mð €JØ€KØ€FØ€GØ€FØ€JØ€GØ)ÐØ"€KØ!€JØ!€JØ $ÐØ#ÐØ€IØ$€LØ+0€LØ#€LØ %Ð÷_ ƒ r,   r   N)	r2   Úhuggingface_hub.dataclassesr   Úconfiguration_utilsr   Úutilsr   r   Ú__all__r-   r,   r)   Ú<module>r<      sG   ðñ  å .å 3Ý #ñ Ð0Ô1Øô-&Ð!ó -&ó ó 2ð-&ð` ˆ.‚r,   