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OPTForCausalLM(
  (model): OPTModel(
    (decoder): OPTDecoder(
      (embed_tokens): Embedding(50272, 512, padding_idx=1)
      (embed_positions): OPTLearnedPositionalEmbedding(2050, 1024)
      (project_out): Linear(in_features=1024, out_features=512, bias=False)
      (project_in): Linear(in_features=512, out_features=1024, bias=False)
      (layers): ModuleList(
        (0-23): 24 x OPTDecoderLayer(
          (self_attn): OPTAttention(
            (k_proj): Linear(in_features=1024, out_features=1024, bias=True)
            (v_proj): Linear(in_features=1024, out_features=1024, bias=True)
            (q_proj): Linear(in_features=1024, out_features=1024, bias=True)
            (out_proj): Linear(in_features=1024, out_features=1024, bias=True)
          )
          (activation_fn): ReLU()
          (self_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
          (fc1): Linear(in_features=1024, out_features=4096, bias=True)
          (fc2): Linear(in_features=4096, out_features=1024, bias=True)
          (final_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
        )
      )
    )
  )
  (lm_head): Linear(in_features=512, out_features=50272, bias=False)
)