code: def load_params(
      self, module, sd, weight_quantizer, mp_replace, prefix
  ):
      param_names = (
          "attention.wq.weight",
          "attention.wk.weight",
          "attention.wv.weight",
          "attention.wo.weight",
          "feed_forward.w3.weight",
          "feed_forward.w1.weight",
          "feed_forward.w2.weight",
          "ffn_norm.weight",
          "attention_norm.weight",
      )
  
      maybe_copy_qkv(
          module.attention,
          sd,
          weight_quantizer,
          mp_replace,
          "attn_qkvw",
          [
              prefix + param_names[0],
              prefix + param_names[1],
              prefix + param_names[2],
          ],
          split_qkv=self.policy.split_qkv,
      )
      for i in range(3, 4):
          maybe_copy(
              module.attention,
              sd,
              weight_quantizer,
              mp_replace,
              transformer_param_names[i - 1],
              prefix + param_names[i],
          )
      maybe_copy_geglu(
          module.mlp,
          sd,
          weight_quantizer,
          mp_replace,
          "inter_w",
          [prefix + param_names[4], prefix + param_names[5]],
      )
      maybe_copy(
          module.mlp,
          sd,
          weight_quantizer,
          mp_replace,
          "output_w",
          prefix + param_names[6],
      )
  
      maybe_copy(
          module.mlp,
          sd,
          weight_quantizer,
          mp_replace,
          transformer_param_names[8],
          prefix + param_names[7],
      )
      maybe_copy(
          module,
          sd,
          weight_quantizer,
          mp_replace,
          transformer_param_names[10],
          prefix + param_names[8],
      )
  
imports: from .base import *
  from .features import HybridSplitQKVContainer, HybridGatedMLPContainer, MetaTensorContainer
  from deepspeed.utils.types import ActivationFuncType, NormType
  from deepspeed.model_implementations.transformers.ds_llama2 import DeepSpeedLlama2Inference
  import torch
  from torch.nn.parameter import Parameter
  from ..policy import TransformerPolicy, transformer_param_names, maybe_copy, maybe_copy_qkv, maybe_copy_geglu, maybe_get_lora
label_desc: Use image node_id 7 for calling the DS_LLAMA2Container obj's underlying member method code with example usage: obj.load_params(module, sd, weight_quantizer, mp_replace, prefix) without return types