Doesn't work with any HF model

Hello,
I've been trying with different LLMs but I haven't been able to make it works. Could you bring some light?
luispoveda93@LUIS-PC:~/mlmm-evaluation$  bash scripts/run.sh es microsoft/Phi-3-mini-4k-instruct
Selected Tasks: ['arc_es', 'hellaswag_es', 'mmlu_es']
config.json: 100%|█████████████████████████████████████████████████████████████████████| 904/904 [00:00<00:00, 9.41MB/s]
Traceback (most recent call last):
  File "/home/luispoveda93/mlmm-evaluation/main.py", line 135, in <module>
    main()
  File "/home/luispoveda93/mlmm-evaluation/main.py", line 108, in main
    results = evaluator.open_llm_evaluate(
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/luispoveda93/mlmm-evaluation/lm_eval/utils.py", line 205, in _wrapper
    return fn(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^
  File "/home/luispoveda93/mlmm-evaluation/lm_eval/evaluator.py", line 66, in open_llm_evaluate
    lm = lm_eval.models.get_model(model).create_from_arg_string(
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/luispoveda93/mlmm-evaluation/lm_eval/base.py", line 116, in create_from_arg_string
    return cls(**args, **args2)
           ^^^^^^^^^^^^^^^^^^^^
  File "/home/luispoveda93/mlmm-evaluation/lm_eval/models/huggingface.py", line 169, in __init__
    self._config = self.AUTO_CONFIG_CLASS.from_pretrained(
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/luispoveda93/.pyenv/versions/3.11.9/lib/python3.11/site-packages/transformers/models/auto/configuration_auto.py", line 931, in from_pretrained
    trust_remote_code = resolve_trust_remote_code(
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/luispoveda93/.pyenv/versions/3.11.9/lib/python3.11/site-packages/transformers/dynamic_module_utils.py", line 627, in resolve_trust_remote_code
    raise ValueError(
ValueError: Loading microsoft/Phi-3-mini-4k-instruct requires you to execute the configuration file in that repo on your local machine. Make sure you have read the code there to avoid malicious use, then set the option `trust_remote_code=True` to remove this error.
nlp-uoregon / mlmm-evaluation

Doesn't work with any HF model #6
