+ j^RIHt^RIHt^RIHt^RIHt]!RR7]!RR]444t]!RR7]!R R ]444t ]!RR7]!R R ]444t .ROt R #))strict)PreTrainedConfig)RopeParameters)auto_docstringzzai-org/GLM-4.1V-9B-Thinking) checkpointca]tRt^toRtRtRtRtRR/t^t Rt Rt R t R t ^ t^tR t^tR t^t^tR tRtRtRtV3RltRtVtR#)Glm4vVisionConfiga out_hidden_size (`int`, *optional*, defaults to 4096): The output hidden size of the vision model. Example: ```python >>> from transformers import Glm4vVisionConfig, Glm4vVisionModel >>> # Initializing a Glm4vVisionConfig GLM-4.1V-9B style configuration >>> configuration = Glm4vVisionConfig() >>> # Initializing a model (with random weights) from the GLM-4.1V-9B configuration >>> model = Glm4vVisionModel(configuration) >>> # Accessing the model configuration >>> configuration = model.config ``` glm4v_vision vision_configaxialnum_attention_heads num_headsisiluFiPh㈵>5{Gz?Nc<V^8dQh/S[;R&S[;R&S[;R&S[;R&S[S[,;R&S[;R&S[;R&S[S[S[,,S[S[S[3,,;R&S[S[S[,,S[S[S[3,,;R &S[;R &S[;R &S[S[S[,,S[S[S[3,,;R &S[;R &S[;R&S[;R&S[R,;R&#)depth hidden_size hidden_actattention_biasattention_dropoutr in_channels image_size patch_size rms_norm_epsspatial_merge_sizetemporal_patch_sizeout_hidden_sizeintermediate_sizeinitializer_rangeNrope_parameters)intstrboolfloatlisttupledict)format __classdict__s"n/home/luca/screen-checking/.venv/lib/python3.14/site-packages/transformers/models/glm4v/configuration_glm4v.py __annotate__Glm4vVisionConfig.__annotate__s16 O789:;< =>s{(?@ABCDd3i%S/17EFd3i%S/16GHIJKLtCy5c?:>MNOP"QR#STD['U)__name__ __module__ __qualname____firstlineno____doc__ model_typebase_config_keydefault_rope_type attribute_maprrrrrrrrrrr r!r"r#r$r%__annotate_func____static_attributes____classdictcell__)r.s@r/r r s & J%O*K8MEKJ N%(IK47J46JL=>O"##'OUr2r c aa]tRt^HtoRtRtRtR.tRRRRRRR R R R R R/tRR.R.3RRR.R.3RR.R.3/t R0t Rt Rt Rt ^(t^ t^tRtRtRtRtRtRtR tR tV3R!ltV3R"ltR#tVtV;t#)$Glm4vTextConfiga\ Example: ```python >>> from transformers import Glm4vTextModel, Glm4vConfig >>> # Initializing a GLM-4.1V style configuration >>> configuration = Glm4vConfig() >>> # Initializing a model from the GLM-4.1V style configuration >>> model = Glm4vTextModel(configuration) >>> # Accessing the model configuration >>> configuration = model.config ``` glm4v_text text_configpast_key_valueszlayers.*.self_attn.q_projcolwisezlayers.*.self_attn.k_projzlayers.*.self_attn.v_projzlayers.*.self_attn.o_projrowwisezlayers.*.mlp.gate_up_projcolwise_gather_outputzlayers.*.mlp.down_projrowwise_split_input embed_tokens input_ids inputs_embedslayers hidden_statesattention_masknorm mrope_sectioniPrrrirrTrNc f<VPfVPVn\SV` !R/VBR#)Nr3)num_key_value_headsr super __post_init__selfkwargs __class__s&,r/rTGlm4vTextConfig.__post_init__}s-  # # +'+'?'?D $ ''r2c <V^8dQh/S[;R&S[;R&S[;R&S[;R&S[;R&S[R,;R&S[;R&S[;R &S[;R &S[;R &S[;R &S[S[,;R &S[S[,R,;R&S[R,;R&#)r vocab_sizerr#num_hidden_layersr NrRrmax_position_embeddingsr$r use_cacherr% pad_token_id)r&r'r)r(rr,)r-r.s"r/r0Glm4vTextConfig.__annotate__HsLMNOP"QRST!UVt'WXYZ!([\#]^_`abs{(cd$d*T18ef*#gr2)rR)r4r5r6r7r8r9r:keys_to_ignore_at_inferencebase_model_tp_planbase_model_pp_planignore_keys_at_rope_validationr[rr#r\r rRrr]r$rr^rr%r_rTr=r>r? __classcell__rXr.s@@r/rArAHs J#O#4"5 $Y#Y#Y#Y#%< "7  +(9:O%568IJ/"_$56 '6%6"JK"!&'J#(#LI%(48O#L(kr2rAc|aa]tRt^toRtRtR]R]/tR.t Rt Rt Rt Rt R tR tR tR tR tV3RltV3RltRtVtV;t#) Glm4vConfigaU image_start_token_id (`int`, *optional*, defaults to 151339): The image start token index to encode the start of image. image_end_token_id (`int`, *optional*, defaults to 151340): The image end token index to encode the end of image. video_start_token_id (`int`, *optional*, defaults to 151341): The video start token index to encode the start of video. video_end_token_id (`int`, *optional*, defaults to 151342): The video end token index to encode the end of video. ```python >>> from transformers import Glm4vForConditionalGeneration, Glm4vConfig >>> # Initializing a GLM-4.1V style configuration >>> configuration = Glm4vConfig() >>> # Initializing a model from the GLM-4.1V style configuration >>> model = Glm4vForConditionalGeneration(configuration) >>> # Accessing the model configuration >>> configuration = model.config ```glm4vr rCrDNi/Oi0Oi+Oi,Oi-Oi.OFc h<\VP\4'd*VPR,!R/VPBVnM,VPfVPR,!R/VBVn\VP\4'd*VPR,!R/VPBVnM,VPfVPR,!R/VBVnVP 'g%\ VPRR4'dRVn\SV` !R/VBR#)r NrCtie_word_embeddingsFTr3) isinstancer r, sub_configsrCrkgetattrrSrTrUs&,r/rTGlm4vConfig.__post_init__s d(($ / /!%!1!1/!B!XTEWEW!XD     '!%!1!1/!B!LV!LD  d&& - -#// >RAQAQRD     %#// >HHD  '''GD4D4DF[]b,c,c'+D $ ''r2c<V^8dQh/S[S[,R,;R&S[S[,R,;R&S[;R&S[;R&S[;R&S[;R&S[;R&S[;R &S[;R &#) rNrCr image_token_idvideo_token_idimage_start_token_idimage_end_token_idvideo_start_token_idvideo_end_token_idrk)r,rr&r()r-r.s"r/r0Glm4vConfig.__annotate__s<((4/6=>**T18?@ AB CD&EF$GH&IJ$KL%Mr2)rCrkr )r4r5r6r7r8r9r rArmrarCr rqrrrsrtrurvrkrTr=r>r?rerfs@@r/rhrhsh .J"$5}oVK#4"526K48M N N &$ &$ %(Qr2rhN)rhrAr ) huggingface_hub.dataclassesrconfiguration_utilsrmodeling_rope_utilsrutilsrr rArh__all__r3r2r/r}s(/31#9:(((((;((V9:7(&7(;7(t9:7("7(;7(t Br2