code: def transformer_moe_prepend_8k():
    
    hparams = transformer_moe_8k()
    hparams.prepend_mode = "prepend_inputs_masked_attention"
    hparams.eval_drop_long_sequences = False
    hparams.max_input_seq_length = 7500
    hparams.default_ff = "sepm"
    hparams.layer_types = "locm/redm/locm-moe/redm/locm"
    hparams.moe_num_experts = 256
    return hparams
docs: Model which formulate a seq2seq problem as language modeling.