code: def get_mixtral_module_name(name):
      if name == "token_embd.weight":
          return "model.embed_tokens.weight"
      if name == "output_norm.weight":
          return "model.norm.weight"
      if name == "output.weight":
          return "lm_head.weight"
      layer_id = name.split(".")[1]
      if "attn_q" in name:
          return f"model.layers.{layer_id}.self_attn.q_proj.weight"
      if "attn_k" in name:
          return f"model.layers.{layer_id}.self_attn.k_proj.weight"
      if "attn_v" in name:
          return f"model.layers.{layer_id}.self_attn.v_proj.weight"
      if "attn_output" in name:
          return f"model.layers.{layer_id}.self_attn.o_proj.weight"
      if "attn_norm" in name:
          return f"model.layers.{layer_id}.input_layernorm.weight"
      if "ffn_norm" in name:
          return (
              f"model.layers.{layer_id}.post_attention_layernorm.weight"
          )
      if "ffn_gate_inp" in name:
          return f"model.layers.{layer_id}.block_sparse_moe.gate.weight"
      local_expert_id = name.split(".")[3]
      if "ffn_gate" in name:
          return (
              f"model.layers.{layer_id}."
              + f"block_sparse_moe.experts.{local_expert_id}.w1.weight"
          )
      if "ffn_down" in name:
          return (
              f"model.layers.{layer_id}."
              + f"block_sparse_moe.experts.{local_expert_id}.w2.weight"
          )
      if "ffn_up" in name:
          return (
              f"model.layers.{layer_id}."
              + f"block_sparse_moe.experts.{local_expert_id}.w3.weight"
          )
  
file_path: BigDL/python/llm/src/bigdl/llm/transformers/gguf/models/mixtral.py
imports: import os
  import torch
  from accelerate import init_empty_weights
  from accelerate.utils import set_module_tensor_to_device
  from tempfile import NamedTemporaryFile
  from transformers import MixtralConfig, MixtralForCausalLM, LlamaTokenizer
  from ..gguf import GGUFFileLoader
label_desc: Use image node_id 2 for calling a global function with example usage: get_mixtral_module_name(name) and returns: str, str, str, str, layer_id, str, str, layer_id, str, str, layer_id, str, str, layer_id, str, str, layer_id, str, str, layer_id, str, str, layer_id, str, unknown, unknown, unknown