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jinaai
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jina-embeddings-v3

Feature Extraction
Transformers
PyTorch
ONNX
Safetensors
sentence-transformers
sentence-similarity
mteb
custom_code
Eval Results
🇪🇺 Region: EU
Model card Files Community
63
jina-embeddings-v3
File size: 1,818 Bytes 
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{
  "_name_or_path": "jina-embeddings-v3-xlm-large-pairs-vol5-lora",
  "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": ""
  }
}