code: def load_params(
      self, module, sd, weight_quantizer, mp_replace, prefix
  ):
      param_names = (
          "self_attn.q_proj.weight",
          "self_attn.k_proj.weight",
          "self_attn.v_proj.weight",
          "self_attn.q_proj.bias",
          "self_attn.k_proj.bias",
          "self_attn.v_proj.bias",
          "self_attn.out_proj.weight",
          "self_attn.out_proj.bias",
          "fc1.weight",
          "fc1.bias",
          "fc2.weight",
          "fc2.bias",
          "final_layer_norm.weight",
          "final_layer_norm.bias",
          "self_attn_layer_norm.weight",
          "self_attn_layer_norm.bias",
      )
  
      for i in range(0, 6, 3):
          maybe_copy_qkv(
              module.attention,
              sd,
              weight_quantizer,
              mp_replace,
              transformer_param_names[i // 3],
              [
                  prefix + param_names[i],
                  prefix + param_names[i + 1],
                  prefix + param_names[i + 2],
              ],
              split_qkv=self.policy.split_qkv,
          )
      for i in range(6, 8):
          maybe_copy(
              module.attention,
              sd,
              weight_quantizer,
              mp_replace,
              transformer_param_names[i - 4],
              prefix + param_names[i],
          )
      for i in range(8, 14):
          maybe_copy(
              module.mlp,
              sd,
              weight_quantizer,
              mp_replace,
              transformer_param_names[i - 4],
              prefix + param_names[i],
          )
      for i in range(14, 16):
          maybe_copy(
              module,
              sd,
              weight_quantizer,
              mp_replace,
              transformer_param_names[i - 4],
              prefix + param_names[i],
          )
  
imports: from .base import *
  from .features import MetaTensorContainer, HybridSplitQKVContainer
  from deepspeed.model_implementations.transformers.ds_opt import DeepSpeedOPTInference
  import torch
  from torch.nn.parameter import Parameter
  from ..policy import TransformerPolicy
  from ..policy import transformer_param_names
  from ..policy import maybe_copy
  from ..policy import maybe_copy_qkv
  from ..policy import maybe_get_lora
  from deepspeed.utils.types import ActivationFuncType
label_desc: Use image node_id 6 for calling the DS_OPTContainer obj's underlying member method code with example usage: obj.load_params(module, sd, weight_quantizer, mp_replace, prefix) without return types