code: def gpt2_xl(checkpoint=True):
      return GPTLMModel(
          hidden_size=1600,
          num_layers=48,
          num_attention_heads=32,
          checkpoint=checkpoint,
      )
  
file_path: ColossalAI/examples/language/gpt/experiments/pipeline_parallel/model_zoo.py
imports: from torch import nn
  from transformers import GPT2Config, GPT2LMHeadModel
label_desc: Use image node_id 2 for calling a global function with example usage: gpt2_xl(checkpoint) and returns: GPTLMModel