config.json

{
  "_name_or_path": "Alibaba-NLP/gte-large-en-v1.5",
  "architectures": [
    "NewForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.0,
  "auto_map": {
    "AutoConfig": "Alibaba-NLP/new-impl--configuration.NewConfig",
    "AutoModel": "Alibaba-NLP/new-impl--modeling.NewModel",
    "AutoModelForMaskedLM": "Alibaba-NLP/new-impl--modeling.NewForMaskedLM",
    "AutoModelForMultipleChoice": "Alibaba-NLP/new-impl--modeling.NewForMultipleChoice",
    "AutoModelForQuestionAnswering": "Alibaba-NLP/new-impl--modeling.NewForQuestionAnswering",
    "AutoModelForSequenceClassification": "Alibaba-NLP/new-impl--modeling.NewForSequenceClassification",
    "AutoModelForTokenClassification": "Alibaba-NLP/new-impl--modeling.NewForTokenClassification"
  },
  "classifier_dropout": null,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 1024,
  "initializer_range": 0.02,
  "intermediate_size": 4096,
  "layer_norm_eps": 1e-12,
  "layer_norm_type": "layer_norm",
  "logn_attention_clip1": false,
  "logn_attention_scale": false,
  "max_position_embeddings": 8192,
  "model_type": "new",
  "num_attention_heads": 16,
  "num_hidden_layers": 24,
  "pack_qkv": true,
  "pad_token_id": 0,
  "position_embedding_type": "rope",
  "problem_type": "single_label_classification",
  "rope_scaling": {
    "factor": 2.0,
    "type": "ntk"
  },
  "rope_theta": 160000,
  "torch_dtype": "float32",
  "transformers_version": "4.45.2",
  "type_vocab_size": 2,
  "unpad_inputs": false,
  "use_memory_efficient_attention": false,
  "vocab_size": 30528
}