config.json

{
  "_name_or_path": "jinaai/jina-embeddings-v3",
  "architectures": [
    "XLMRobertaLoRA"
  ],
  "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,
  "model_type": "xlm-roberta",
  "num_attention_heads": 16,
  "num_hidden_layers": 24,
  "output_past": true,
  "pad_token_id": 1,
  "position_embedding_type": "rotary",
  "rotary_emb_base": 20000.0,
  "task_instructions": {
    "classification": "",
    "retrieval.passage": "Represent the document for retrieval: ",
    "retrieval.query": "Represent the query for retrieving evidence documents: ",
    "separation": "",
    "text-matching": ""
  },
  "torch_dtype": "float32",
  "transformers_version": "4.44.2",
  "truncate_dim": null,
  "type_vocab_size": 1,
  "use_cache": true,
  "use_flash_attn": true,
  "use_reentrant": false,
  "vocab_size": 250002
}