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config.json

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+{
+ "_name_or_path": "jinaai/jina-embeddings-v3",
+ "architectures": [
+ "XLMRobertaModel"
+ ],
+ "attention_probs_dropout_prob": 0.1,
+ "auto_map": {
+ "AutoConfig": "jinaai/xlm-roberta-flash-implementation--configuration_xlm_roberta.XLMRobertaFlashConfig",
+ "AutoModel": "jinaai/xlm-roberta-flash-implementation--modeling_lora.XLMRobertaLoRA",
+ "AutoModelForMaskedLM": "jinaai/xlm-roberta-flash-implementation--modeling_xlm_roberta.XLMRobertaForMaskedLM",
+ "AutoModelForPreTraining": "jinaai/xlm-roberta-flash-implementation--modeling_xlm_roberta.XLMRobertaForPreTraining"
+ },
+ "bos_token_id": 0,
+ "classifier_dropout": null,
+ "emb_pooler": null,
+ "eos_token_id": 2,
+ "hidden_act": "gelu",
+ "hidden_dropout_prob": 0.1,
+ "hidden_size": 1024,
+ "initializer_range": 0.02,
+ "intermediate_size": 4096,
+ "layer_norm_eps": 1e-05,
+ "load_trained_adapters": true,
+ "lora_adaptations": ["retrieval.query", "retrieval.passage", "separation", "classification", "text-matching"],
+ "lora_alpha": 1,
+ "lora_dropout_p": 0.0,
+ "lora_main_params_trainable": false,
+ "lora_rank": 4,
+ "matryoshka_dimensions": [32, 64, 128, 256, 512, 768, 1024],
+ "max_position_embeddings": 8194,
+ "num_attention_heads": 16,
+ "num_hidden_layers": 24,
+ "output_past": true,
+ "pad_token_id": 1,
+ "position_embedding_type": "rotary",
+ "rotary_emb_base": 20000.0,
+ "torch_dtype": "bfloat16",
+ "transformers_version": "4.30.2",
+ "truncate_dim": null,
+ "type_vocab_size": 1,
+ "use_cache": true,
+ "use_flash_attn": true,
+ "vocab_size": 250002,
+ "task_instructions": {
+ "retrieval.query": "Represent the query for retrieving evidence documents: ",
+ "retrieval.passage": "Represent the document for retrieval: ",
+ "separation": "",
+ "classification": "",
+ "text-matching": ""
+ }
+}

model.safetensors

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pytorch_model.bin

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