Transformers
Safetensors
English
deberta-v2
reward_model
reward-model
RLHF
evaluation
llm
instruction
reranking
Inference Endpoints
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{
  "architectures": [
    "DebertaV2PairRM"
  ],
  "attention_probs_dropout_prob": 0.1,
  "cand1_prefix_id": 128002,
  "cand2_prefix_id": 128003,
  "cand_prefix_id": 128004,
  "drop_out": 0.05,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 1024,
  "initializer_range": 0.02,
  "intermediate_size": 4096,
  "layer_norm_eps": 1e-07,
  "max_position_embeddings": 512,
  "max_relative_positions": -1,
  "model_type": "deberta-v2",
  "n_tasks": 1,
  "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,
  "source_prefix_id": 128001,
  "torch_dtype": "float32",
  "transformers_version": "4.37.0",
  "type_vocab_size": 0,
  "vocab_size": 128005
}