code: def greedy_until(self, requests):
      continuations = []
      for request in requests:
          prompt, until = request[0], request[1]["until"]
          output = self.llama.greedy_until(
              prompt, until, max_length=128, temperature=0.0
          )
          continuations.append(output[len(prompt) :])
      return continuations
  
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 11 for calling the LLaMaAdaptor obj's underlying member method code with example usage: obj.greedy_until(requests) and returns: continuations