GLiNER2.5-Decide-ONNX / config.json
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GLiNER2.5-Decide classification path, ONNX fp32/fp16/q4/q4f16
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{
"_attn_implementation_autoset": true,
"attention_probs_dropout_prob": 0.1,
"dtype": "float32",
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 1024,
"initializer_range": 0.02,
"intermediate_size": 4096,
"layer_norm_eps": 1e-07,
"legacy": true,
"max_position_embeddings": 512,
"max_relative_positions": -1,
"model_type": "deberta-v2",
"norm_rel_ebd": "layer_norm",
"num_attention_heads": 16,
"num_hidden_layers": 24,
"pad_token_id": 0,
"pooler_dropout": 0,
"pooler_hidden_act": "gelu",
"pooler_hidden_size": 1024,
"pos_att_type": [
"p2c",
"c2p"
],
"position_biased_input": false,
"position_buckets": 256,
"relative_attention": true,
"share_att_key": true,
"transformers_version": "4.57.6",
"type_vocab_size": 0,
"vocab_size": 128011,
"architectures": [
"DebertaV2Model"
],
"gliner2": {
"description": "GLiNER2.5-Decide classification path: schema-conditioned DeBERTa-v3-large, one logit per [L] label marker from a 1024-2048-1 MLP head.",
"special_tokens": [
"[SEP_STRUCT]",
"[SEP_TEXT]",
"[P]",
"[C]",
"[E]",
"[R]",
"[L]",
"[EXAMPLE]",
"[OUTPUT]",
"[DESCRIPTION]"
],
"max_len": 512,
"temperature": 1.0,
"inputs": "input_ids, attention_mask, marker_positions (index of each [L] token)",
"output": "logits (batch, markers); softmax within each question's markers",
"source": "fastino/GLiNER2.5-Decide"
},
"transformers.js_config": {
"use_external_data_format": {
"model.onnx": 1,
"model_fp16.onnx": 1,
"model_q4.onnx": 1,
"model_q4f16.onnx": 1
},
"dtype": "fp16"
}
}