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  1. config.json +81 -0
  2. pytorch_model.bin +3 -0
config.json ADDED
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+ {
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+ "_name_or_path": "jinaai/jina-embeddings-v3",
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+ "architectures": [
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+ "XLMRobertaModel"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "auto_map": {
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+ "AutoConfig": "jinaai/xlm-roberta-flash-implementation--configuration_xlm_roberta.XLMRobertaFlashConfig",
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+ "AutoModel": "jinaai/xlm-roberta-flash-implementation--modeling_lora.XLMRobertaLoRA",
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+ "AutoModelForMaskedLM": "jinaai/xlm-roberta-flash-implementation--modeling_xlm_roberta.XLMRobertaForMaskedLM",
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+ "AutoModelForPreTraining": "jinaai/xlm-roberta-flash-implementation--modeling_xlm_roberta.XLMRobertaForPreTraining"
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+ },
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+ "bos_token_id": 0,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 1024,
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+ "id2label": {
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+ "0": "LABEL_0",
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+ "1": "LABEL_1",
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+ "2": "LABEL_2",
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+ "3": "LABEL_3",
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+ "4": "LABEL_4"
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+ "intermediate_size": 4096,
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+ "LABEL_4": 4
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+ },
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+ "layer_norm_eps": 1e-05,
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+ "load_trained_adapters": true,
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+ "lora_adaptations": [
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+ "retrieval.query",
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+ "retrieval.passage",
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+ "separation",
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+ "classification",
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+ "text-matching"
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+ ],
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+ "lora_alpha": 1,
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+ "lora_dropout_p": 0.0,
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+ "lora_main_params_trainable": false,
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+ "lora_rank": 4,
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+ "matryoshka_dimensions": [
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+ 32,
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+ 64,
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+ 128,
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+ 256,
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+ 512,
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+ 768,
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+ 1024
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+ ],
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+ "max_position_embeddings": 8194,
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+ "model_type": "xlm-roberta",
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+ "num_attention_heads": 16,
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+ "num_hidden_layers": 24,
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+ "output_past": true,
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+ "pad_token_id": 1,
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+ "position_embedding_type": "rotary",
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+ "rotary_emb_base": 20000.0,
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+ "task_instructions": {
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+ "classification": "",
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+ "retrieval.passage": "Represent the document for retrieval: ",
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+ "retrieval.query": "Represent the query for retrieving evidence documents: ",
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+ "separation": "",
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+ "text-matching": ""
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+ },
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.45.1",
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+ "truncate_dim": null,
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+ "type_vocab_size": 1,
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+ "use_cache": true,
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+ "use_flash_attn": true,
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+ "use_reentrant": false,
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+ "vocab_size": 250002
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+ }
pytorch_model.bin ADDED
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