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QRM-Llama3.1-8B

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llama
custom_code
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QRM-Llama3.1-8B
File size: 1,345 Bytes 
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{
  "_name_or_path": "nicolinho/QRM-Llama3.1-8B",
  "architectures": [
    "LlamaForRewardModelWithGating"
  ],
  "attention_bias": false,
  "attention_dropout": 0.0,
  "auto_map": {
    "AutoModelForSequenceClassification": "modeling_custom.LlamaForRewardModelWithGating"
  },
  "bos_token_id": 128000,
  "eos_token_id": [
    128001,
    128008,
    128009
  ],
  "gating_hidden_dim": 1024,
  "gating_n_hidden": 3,
  "gating_newtork": true,
  "gating_temperature": 5.0,
  "hidden_act": "silu",
  "hidden_size": 4096,
  "id2label": {
    "0": "LABEL_0"
  },
  "initializer_range": 0.02,
  "intermediate_size": 14336,
  "label2id": {
    "LABEL_0": 0
  },
  "loss": "quantile_regression",
  "max_position_embeddings": 131072,
  "model_type": "llama",
  "num_attention_heads": 32,
  "num_hidden_layers": 32,
  "num_key_value_heads": 8,
  "num_objectives": 19,
  "num_quantiles": 19,
  "pad_token_id": 128256,
  "pretraining_tp": 1,
  "rms_norm_eps": 1e-05,
  "rope_scaling": {
    "factor": 8.0,
    "high_freq_factor": 4.0,
    "low_freq_factor": 1.0,
    "original_max_position_embeddings": 8192,
    "rope_type": "llama3"
  },
  "rope_theta": 500000.0,
  "tie_word_embeddings": false,
  "torch_dtype": "bfloat16",
  "attn_implementation": "flash_attention_2",
  "transformers_version": "4.43.1",
  "use_cache": false,
  "vocab_size": 128257
}