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Upload CenturioForConditionalGeneration

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config.json ADDED
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+ {
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+ "_name_or_path": "centurio_aya",
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+ "adapter_config": {
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+ "adapter_multi_scale": 2
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+ },
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+ "adapter_type": "multiscale-pool",
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+ "architectures": [
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+ "CenturioForConditionalGeneration"
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+ ],
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+ "auto_map": {
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+ "AutoConfig": "configuration_centurio.CenturioConfig",
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+ "AutoModelForCausalLM": "modeling_centurio.CenturioForConditionalGeneration"
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+ },
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+ "ignore_index": -100,
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+ "image_hidden_size": 1152,
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+ "image_token_index": 255029,
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+ "model_type": "centurio",
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+ "text_config": {
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+ "_name_or_path": "CohereForAI/aya-expanse-8b",
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+ "add_cross_attention": false,
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+ "architectures": [
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+ "CohereForCausalLM"
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+ ],
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+ "attention_bias": false,
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+ "bos_token_id": 5,
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+ "decoder_start_token_id": null,
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+ "diversity_penalty": 0.0,
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+ "do_sample": false,
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+ "early_stopping": false,
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+ "encoder_no_repeat_ngram_size": 0,
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+ "eos_token_id": 255001,
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+ "exponential_decay_length_penalty": null,
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+ "finetuning_task": null,
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+ "forced_bos_token_id": null,
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+ "forced_eos_token_id": null,
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+ "hidden_act": "silu",
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+ "hidden_size": 4096,
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+ "id2label": {
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+ "0": "LABEL_0",
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+ "1": "LABEL_1"
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+ },
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+ "initializer_range": 0.02,
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+ "intermediate_size": 14336,
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+ "is_decoder": false,
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+ "is_encoder_decoder": false,
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+ "label2id": {
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+ "LABEL_0": 0,
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+ "LABEL_1": 1
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+ },
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+ "layer_norm_eps": 1e-05,
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+ "length_penalty": 1.0,
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+ "logit_scale": 0.125,
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+ "max_length": 20,
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+ "max_position_embeddings": 8192,
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+ "min_length": 0,
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+ "model_type": "cohere",
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+ "no_repeat_ngram_size": 0,
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+ "num_attention_heads": 32,
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+ "num_beam_groups": 1,
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+ "num_beams": 1,
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+ "num_hidden_layers": 32,
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+ "num_key_value_heads": 8,
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+ "num_return_sequences": 1,
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+ "output_attentions": false,
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+ "output_hidden_states": false,
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+ "output_scores": false,
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+ "pad_token_id": 0,
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+ "prefix": null,
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+ "problem_type": null,
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+ "pruned_heads": {},
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+ "remove_invalid_values": false,
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+ "repetition_penalty": 1.0,
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+ "return_dict": true,
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+ "return_dict_in_generate": false,
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+ "rope_scaling": null,
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+ "rope_theta": 10000,
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+ "sep_token_id": null,
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+ "suppress_tokens": null,
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+ "task_specific_params": null,
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+ "temperature": 1.0,
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+ "tf_legacy_loss": false,
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+ "tie_encoder_decoder": false,
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+ "tie_word_embeddings": true,
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+ "tokenizer_class": null,
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+ "top_k": 50,
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+ "top_p": 1.0,
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+ "torch_dtype": "bfloat16",
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+ "torchscript": false,
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+ "typical_p": 1.0,
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+ "use_bfloat16": false,
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+ "use_cache": true,
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+ "use_qk_norm": false,
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+ "vocab_size": 256000
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+ },
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+ "timm_model": "vit_so400m_patch14_siglip_384",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.45.2",
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+ "vision_config": {}
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+ }
configuration_centurio.py ADDED
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+ # coding=utf-8
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+
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+ from transformers.configuration_utils import PretrainedConfig
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+ from transformers import logging, AutoConfig
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+ from transformers import CONFIG_MAPPING
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+
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+
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+ logger = logging.get_logger(__name__)
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+
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+
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+ class CenturioConfig(PretrainedConfig):
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+ r"""
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+ Based on LlavaConfig.
14
+
15
+ Args:
16
+ vision_config (`str`, *optional*, timm model, defaults to `vit_so400m_patch14_siglip_384`):
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+ The config object or dictionary of the vision backbone.
18
+ text_config (`Union[AutoConfig, dict]`, *optional*, defaults to `LlamaConfig`):
19
+ The config object or dictionary of the text backbone.
20
+ ignore_index (`int`, *optional*, defaults to -100):
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+ The ignore index for the loss function.
22
+ image_token_index (`int`, *optional*, defaults to 32000):
23
+ The image token index to encode the image prompt.
24
+ adapter_type (`str`, *optional*, defaults to `multiscale-pool`):
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+ The adapter type.
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+ adapter_config (`dict`, *optional*, defaults to `None`):
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+ """
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+
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+ model_type = "centurio"
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+ is_composition = True
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+
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+ def __init__(
33
+ self,
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+ timm_model="vit_so400m_patch14_siglip_384",
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+ image_hidden_size=1024,
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+ text_config=None,
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+ ignore_index=-100,
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+ image_token_index=32000,
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+ adapter_type="multiscale-pool",
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+ adapter_config=None,
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+ **kwargs,
42
+ ):
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+ self.ignore_index = ignore_index
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+ self.image_token_index = image_token_index
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+ self.adapter_type = adapter_type
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+ self.adapter_config = adapter_config
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+
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+ self.timm_model = timm_model
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+ self.image_hidden_size = image_hidden_size
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+
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+ if isinstance(text_config, dict):
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+ text_config["model_type"] = text_config["model_type"] if "model_type" in text_config else "llama"
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+ text_config = CONFIG_MAPPING[text_config["model_type"]](**text_config)
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+ elif text_config is None:
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+ text_config = CONFIG_MAPPING["llama"]()
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+
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+ self.text_config = text_config
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+
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+ super().__init__(**kwargs)
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+
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+
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+ # q = CenturioConfig(
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+ # text_config=AutoConfig.from_pretrained("Qwen/Qwen2.5-7B-Instruct"),
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+ # image_token_index=151665,
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+ # adapter_type="multiscale-pool",
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+ # adapter_config=dict(adapter_multi_scale=2),
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+ # attn_implementation="flash_attention_2"
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+ # )
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+ # q.save_pretrained("centurio_qwen")
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+ #
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+ # a = CenturioConfig(
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+ # text_config=AutoConfig.from_pretrained("CohereForAI/aya-expanse-8b"),
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+ # image_token_index=255029,
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+ # adapter_type="multiscale-pool",
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+ # adapter_config=dict(adapter_multi_scale=2),
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+ # attn_implementation="flash_attention_2"
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+ # )
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+ # a.save_pretrained("centurio_aya")
generation_config.json ADDED
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+ "transformers_version": "4.45.2"
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+ }
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