code: def lmx_h3k_f12k():
      """HParams for training languagemodel_lm1b32k_packed.  880M Params."""
      hparams = lmx_base()
      hparams.hidden_size = 3072
      hparams.filter_size = 12288
      hparams.batch_size = 2048
      hparams.weight_dtype = "bfloat16"
      return hparams
  
file_path: tensor2tensor/tensor2tensor/models/research/lm_experiments.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from tensor2tensor.models import transformer
  from tensor2tensor.utils import registry
label_desc: Use image node_id 4 for calling a global function with example usage: lmx_h3k_f12k() and returns: hparams