code: def __init__(self, config):
      super(LlamaForCausalLM, self).__init__(config)
      self.model = FERRETLlamaModel(config)
  
      self.lm_head = nn.Linear(
          config.hidden_size, config.vocab_size, bias=False
      )
  
      # Initialize weights and apply final processing
      self.post_init()
  
file_path: ml-ferret/ferret/model/language_model/ferret_llama.py
imports: from typing import List, Optional, Tuple, Union
  import torch
  import torch.nn
  from torch.nn import CrossEntropyLoss
  from transformers import AutoConfig, AutoModelForCausalLM, LlamaConfig, LlamaModel, LlamaForCausalLM
  from transformers.modeling_outputs import CausalLMOutputWithPast
  from ..ferret_arch import FERRETMetaModel, FERRETMetaForCausalLM
label_desc: Use image node_id 1 to create a new FERRETLlamaForCausalLM object from inherited base classes: LlamaForCausalLM, FERRETMetaForCausalLM with example: obj = FERRETLlamaForCausalLM(config)