o ÔÙ¾iã@sˆddlmZddlmZddlmZGdd„deƒZGdd„deƒZGdd „d eƒZGd d „d eƒZ Gd d „d eƒZ Gdd„deƒZ dS)é)ÚPretrainedConfig)ÚQwen3NextConfig)ÚQwen3VLVisionConfigc@seZdZdZdZdS)ÚQwen3_5VisionConfigÚqwen3_5Ú vision_configN)Ú__name__Ú __module__Ú __qualname__Ú model_typeÚbase_config_key©r r úN/home/ubuntu/.local/lib/python3.10/site-packages/sglang/srt/configs/qwen3_5.pyrsrcs$eZdZdZdZ‡fdd„Z‡ZS)ÚQwen3_5TextConfigÚ qwen3_5_textÚ text_configc s`| dd¡}| d¡dur|dur||d<tƒjdi|¤Ž|jdur(|p&i|_|p,|j|_dS)NÚrope_parametersÚ rope_scalingr )ÚpopÚgetÚsuperÚ__init__rr)ÚselfÚkwargsr©Ú __class__r rrs   zQwen3_5TextConfig.__init__)rr r r r rÚ __classcell__r r rrr srcsDeZdZdZdZeedœZdgZ      d ‡fd d „ Z ‡Z S)Ú Qwen3_5Configac This is the configuration class to store the configuration of a [`Qwen3_5Model`]. It is used to instantiate a Qwen3.5 model according to the specified arguments, defining the model architecture. Instantiating a configuration with the defaults will yield a similar configuration to that of Qwen3.5. Configuration objects inherit from [`PretrainedConfig`] and can be used to control the model outputs. Read the documentation from [`PretrainedConfig`] for more information. Args: text_config (`Union[PreTrainedConfig, dict]`, *optional*, defaults to `Qwen3_5TextConfig`): The config object or dictionary of the text backbone. vision_config (`Union[PreTrainedConfig, dict]`, *optional*, defaults to `Qwen3_5VisionConfig`): The config object or dictionary of the vision backbone. image_token_id (`int`, *optional*, defaults to 151655): The image token index to encode the image prompt. video_token_id (`int`, *optional*, defaults to 151656): The video token index to encode the image prompt. vision_start_token_id (`int`, *optional*, defaults to 151652): The start token index to encode the image prompt. vision_end_token_id (`int`, *optional*, defaults to 151653): The end token index to encode the image prompt. tie_word_embeddings (`bool`, *optional*, defaults to `False`): Whether to tie the word embeddings. ```python >>> from transformers import Qwen3_5ForConditionalGeneration, Qwen3_5Config >>> # Initializing a Qwen3.5 style configuration >>> configuration = Qwen3_5Config() >>> # Initializing a model from the Qwen3.5 style configuration >>> model = Qwen3_5ForConditionalGeneration(configuration) >>> # Accessing the model configuration >>> configuration = model.config ```r©rrÚpast_key_valuesNégPéhPédPéePFc  s¦t|tƒr|jddi|¤Ž|_n |dur|jdƒ|_t|tƒr-|jddi|¤Ž|_n |dur8|jdƒ|_||_||_||_||_t ƒj di|¤d|i¤ŽdS)NrrÚtie_word_embeddingsr ) Ú isinstanceÚdictÚ sub_configsrrÚimage_token_idÚvideo_token_idÚvision_start_token_idÚvision_end_token_idrr) rrrr(r)r*r+r$rrr rrQs  zQwen3_5Config.__init__)NNr r!r"r#F) rr r Ú__doc__r rrr'Úkeys_to_ignore_at_inferencerrr r rrr"s'þørc@óeZdZdZdS)ÚQwen3_5MoeVisionConfigÚ qwen3_5_moeN©rr r r r r r rr/mór/c@r.)ÚQwen3_5MoeTextConfigÚqwen3_5_moe_textNr1r r r rr3qr2r3c@seZdZdZeedœZdS)ÚQwen3_5MoeConfigr0rN)rr r r r/r3r'r r r rr5us  þr5N) Ú transformersrÚsglang.srt.configs.qwen3_nextrÚsglang.srt.configs.qwen3_vlrrrrr/r3r5r r r rÚs  K