code: def create_from_arg_string(cls, arg_string, additional_config=None):
      kwargs = {
          el.split("=")[0]: el.split("=")[1]
          for el in arg_string.split(",")
      }
      return cls(**kwargs, **additional_config)
  
file_path: tinygrad/test/external/external_llama_eval.py
imports: from lm_eval.base import BaseLM
  from lm_eval import evaluator, tasks
  import torch, json, argparse
  from examples.llama import LLaMa
  from tinygrad.tensor import Tensor
  from tinygrad import Device
label_desc: Use image node_id 2 for calling the LLaMaAdaptor obj's underlying member method code with example usage: obj.create_from_arg_string(cls, arg_string, additional_config) and returns: cls