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{
  "_description": "Deep-Narrow (Paper Deep): 30 layers \u00d7 384 hidden \u00d7 1024 intermediate - ~59.50M parameters. Paper SOTA configuration from original paper's 125M deep architecture.",
  "_name_or_path": "/home/yaliangcai/mobilelm/MobileLLM/configs/60M_deep_scale/",
  "architectures": [
    "LlamaForCausalLM"
  ],
  "attention_bias": false,
  "attention_dropout": 0.0,
  "bos_token_id": 1,
  "eos_token_id": 2,
  "hidden_act": "silu",
  "hidden_size": 384,
  "initializer_range": 0.02,
  "intermediate_size": 1024,
  "layer_sharing": true,
  "max_position_embeddings": 2048,
  "mlp_bias": false,
  "model_type": "llama",
  "num_attention_heads": 6,
  "num_hidden_layers": 30,
  "num_key_value_heads": 2,
  "pretraining_tp": 1,
  "rms_norm_eps": 1e-05,
  "rope_scaling": null,
  "rope_theta": 10000.0,
  "share_embedding": true,
  "tie_word_embeddings": false,
  "torch_dtype": "float32",
  "transformers_version": "4.41.2",
  "use_cache": true,
  "vocab_size": 32000
}