{
    "model": "Weni/WeniGPT-2.8.1-Zephyr-7B-zephyr-prompt-binarized",
    "base_model": "Weni/WeniGPT-2.2.3-Zephyr-7B-merged-LLM_Base_2.0.3_SFT",
    "revision": "main",
    "private": false,
    "precision": "4bit",
    "params": 7.0,
    "architectures": "?",
    "weight_type": "Adapter",
    "main_language": "Other",
    "status": "FAILED",
    "submitted_time": "2024-04-09T03:00:51Z",
    "model_type": "💬 : chat models (RLHF, DPO, IFT, ...)",
    "source": "leaderboard",
    "job_id": 451,
    "job_start_time": "2024-04-14T08-35-25.881106",
    "error_msg": "load_in_4bit requires peft >= 0.4.0",
    "traceback": "Traceback (most recent call last):\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 196, in wait_download_and_run_request\n    run_request(\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 65, in run_request\n    results = run_eval_on_model(\n              ^^^^^^^^^^^^^^^^^^\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/run_eval.py\", line 60, in run_eval_on_model\n    result = evaluate(\n             ^^^^^^^^^\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/lm_eval_util.py\", line 145, in evaluate\n    results = evaluator.simple_evaluate(\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/utils.py\", line 419, in _wrapper\n    return fn(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/evaluator.py\", line 100, in simple_evaluate\n    lm = lm_eval.api.registry.get_model(model).create_from_arg_string(\n         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/api/model.py\", line 134, in create_from_arg_string\n    return cls(**args, **args2)\n           ^^^^^^^^^^^^^^^^^^^^\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 297, in __init__\n    self._create_model(\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 636, in _create_model\n    assert PEFT_VERSION >= \"0.4.0\", \"load_in_4bit requires peft >= 0.4.0\"\n           ^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: load_in_4bit requires peft >= 0.4.0\n"
}