+ jRt^RIHt^RIHt^RIHtHt^RIH t H t ]P!] 4t ]!RR7]!RR]444t]!RR7]!R R ]444t]!RR7]!R R ]444t.ROtR #)zIdefics2 model configuration)strict)PreTrainedConfig)auto_docstringlogging)CONFIG_MAPPING AutoConfigzHuggingFaceM4/idefics2-8b) checkpointcda]tRt^toRtRtRtRtRt^ t ^ t ^t ^t ^ t RtRtRtR tV3R ltR tVtR #) Idefics2VisionConfigaY Example: ```python >>> from transformers.models.idefics2.modeling_idefics2 import Idefics2VisionTransformer >>> from transformers.models.idefics2.configuration_idefics2 import Idefics2VisionConfig >>> # Initializing a Idefics2VisionConfig with google/siglip-base-patch16-224 style configuration >>> configuration = Idefics2VisionConfig() >>> # Initializing a Idefics2VisionTransformer (with random weights) from the google/siglip-base-patch16-224 style configuration >>> model = Idefics2VisionTransformer(configuration) >>> # Accessing the model configuration >>> configuration = model.config ```idefics2_vision vision_configii gelu_pytorch_tanhư>{Gz?c:<V^8dQh/S[;R&S[;R&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[,;R &S[;R &#)  hidden_sizeintermediate_sizenum_hidden_layersnum_attention_heads num_channels image_size patch_size hidden_actlayer_norm_epsattention_dropoutinitializer_range)intlisttuplestrfloat)format __classdict__s"t/home/luca/screen-checking/.venv/lib/python3.14/site-packages/transformers/models/idefics2/configuration_idefics2.py __annotate__!Idefics2VisionConfig.__annotate__s./0!1234!5678d3i%S/179:d3i%S/16;<)=> ?@s{(AB#CN)__name__ __module__ __qualname____firstlineno____doc__ model_typebase_config_keyrrrrrrrrrrr__annotate_func____static_attributes____classdictcell__r$s@r%r r sZ "#J%OK!!L47J46J)J N%(#Cr(r cba]tRt^=toRtRtRtRtRt^@t ^t ^t ^`t ^t RtRtRtV3R ltR tVtR #) Idefics2PerceiverConfiga4 resampler_n_latents (`int`, *optional*, defaults to 64): Number of latent embeddings to resample ("compress") the input sequence to (usually < 128). resampler_depth (`int`, *optional*, defaults to 3): Depth of the Perceiver Resampler (Transformer w/ cross attention). Should be shallow (<= 3). resampler_n_heads (`int`, *optional*, defaults to 16): Number of heads in each Transformer block (for multi-headed self-attention). resampler_head_dim (`int`, *optional*, defaults to 96): Dimensionality of each head projection in the Transformer block. idefics2_perceiversiluirrrc VPVP8d&\RVP RVP 24hR#)zOPart of `@strict`-powered validation. Validates the architecture of the config.znum_key_value_heads=z1 must be less than or equal to resampler_n_heads=N)num_key_value_headsresampler_n_heads ValueError)selfs&r%validate_architecture-Idefics2PerceiverConfig.validate_architectureXsM  # #d&<&< <&t'?'?&@A&&*&<&<%=?  =r(c<V^8dQh/S[;R&S[;R&S[;R&S[;R&S[;R&S[;R&S[;R&S[;R&S[S[,;R &S[;R &#) rrr rms_norm_epsresampler_n_latentsresampler_depthr;resampler_head_dimr:rr)r!rr")r#r$s"r%r&$Idefics2PerceiverConfig.__annotate__=s !"#$%&!'()*+, -. /0s{(12#3r(r)N)r*r+r,r-r.r/rrrArBrCr;rDr:rrr>r1r2r3r4s@r%r6r6=sU &JJKL!O  %(#7r(r6cnaa]tRt^atoRtRtR]R]R]/t Rt Rt Rt R t R tR tV3R ltV3R ltR tVtV;t#) Idefics2Configa perceiver_config (`IdeficsPerceiverConfig` or `dict`, *optional*): Custom perceiver config or dict Example: ```python >>> from transformers import Idefics2Model, Idefics2Config >>> # Initializing configuration >>> configuration = Idefics2Config() >>> # Initializing a model from the configuration >>> model = Idefics2Model(configuration) >>> # Accessing the model configuration >>> configuration = model.config ```idefics2 text_configperceiver_configr Ti}FNc n<VPf&\4Vn\PR4M:\ VP\ 4'd\R /VPBVnVP f&\4Vn\PR4M:\ VP \ 4'd\R /VP BVn\ VP\ 4'd^VPPRR4VPR&\VPR,,!R /VPBVnM>VPf1\PR4\R,!R R^R7VnVPPVPP8wd`VPPVPn VPPVPn \PR4\SV`<!R /VBR#) Nz7perciver_config is None, using default perceiver configz2vision_config is None, using default vision configr/mistralz.text_config is None, using default text configgh㈵>)max_position_embeddingsrA pad_token_idzPerceiver config has a different `hidden_size` than text config, which means default values were used. In your model's config on the hub, add `hidden_size` and `rms_norm_eps` keys under the `perceiver_config` dict. r)i)rJr6loggerinfo isinstancedictr r rIgetrrrA warning_oncesuper __post_init__)r=kwargs __class__s&,r%rVIdefics2Config.__post_init__s  ($;$=D ! KKQ R --t 4 4$;$Td>S>S$TD !    %!5!7D  KKL M **D 1 1!5!K8J8J!KD  d&& - --1-=-=-A-A,PY-ZD  \ *-d.>.>|.LMaPTP`P`aD     % KKH I-i8(0!  D     ' '4+@+@+L+L L040@0@0L0LD ! ! -151A1A1N1ND ! ! .   C  ''r(c<V^8dQh/S[;R&S[;R&S[;R&S[S[,R,;R&S[S[,R,;R&S[S[,R,;R&#)r use_cacheimage_token_idtie_word_embeddingsNr rJrI)boolrrRr)r#r$s"r%r&Idefics2Config.__annotate__ast234 56%78**T189:--4;;<((4/6=r()rJrIr )r*r+r,r-r.r/rr6r sub_configsr[r\r]r rJrIrVr1r2r3 __classcell__)rXr$s@@r%rGrGasX  Jz3-K I N %48M7;26K!(Ar(rGN)rGr6r )r.huggingface_hub.dataclassesrconfiguration_utilsrutilsrrautorr get_loggerr*rOr r6rG__all__r)r(r%rhs#.3,-   H %67$+$8$D67.8D67?(%?(8?(D Pr(