code: def _model_call(self, inps):
      Tensor.no_grad = True
      return torch.Tensor(
          self.llama.model(Tensor(inps.numpy()), 0).numpy()
      )
  
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 10 for calling the LLaMaAdaptor obj's underlying member method code with example usage: obj._model_call(inps) and returns: torch