code: def load_weights(
      self,
      model_name_or_path: str,
      cache_dir: Optional[str] = None,
      load_format: str = "auto",
      revision: Optional[str] = None,
  ):
      pass
  
imports: import torch
  from torch import nn
  from typing import Optional, Tuple, List, Type, Dict
  from transformers import LlamaConfig
  from bigdl.llm.vllm.sequence import SequenceOutputs, SequenceGroupMetadata
  from bigdl.llm.transformers.models.utils import extend_kv_cache
  from bigdl.llm.vllm.logger import init_logger
label_desc: Use image node_id 10 for calling the BigDLModelForCausalLM obj's underlying member method code with example usage: obj.load_weights(model_name_or_path, cache_dir, load_format, revision) without return types