code: def xmoe2_v1_l4k_compressed_c8():
      """With compressed attention."""
      hparams = xmoe2_v1_l4k_compressed_c4()
      hparams.compression_factor = 8
      return hparams
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from tensor2tensor.models import mtf_transformer
  from tensor2tensor.models import mtf_transformer2
  from tensor2tensor.models.research import moe
  from tensor2tensor.utils import registry
label_desc: Use image node_id 26 for calling a global function with example usage: xmoe2_v1_l4k_compressed_c8() and returns: hparams