Update status of unsloth/gemma-2-27b-bnb-4bit_eval_request_False_4bit_Original to FAILED

unsloth/gemma-2-27b-bnb-4bit_eval_request_False_4bit_Original.json

@@ -8,11 +8,13 @@
     "architectures": "Gemma2ForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
-    "status": "RUNNING",
+    "status": "FAILED",
     "submitted_time": "2025-05-07T14:12:05Z",
     "model_type": "🟢 : pretrained",
     "source": "leaderboard",
     "job_id": 1636,
     "job_start_time": "2025-05-07T19-39-28.902879",
-    "lm_eval_model_type": "vllm"
+    "lm_eval_model_type": "vllm",
+    "error_msg": "As of transformers v4.44, default chat template is no longer allowed, so you must provide a chat template if the tokenizer does not define one.",
+    "traceback": "Traceback (most recent call last):\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 243, in wait_download_and_run_request\n    run_request(\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 109, in run_request\n    results = run_eval_on_model(\n              ^^^^^^^^^^^^^^^^^^\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/run_eval.py\", line 63, 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 159, in simple_evaluate\n    results = 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 343, in evaluate\n    resps = getattr(lm, reqtype)(cloned_reqs)\n            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/vllm_causallms.py\", line 552, in generate_until\n    response = self._model_chat(\n               ^^^^^^^^^^^^^^^^^\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/vllm_causallms.py\", line 331, in _model_chat\n    outputs = self.model.chat(\n              ^^^^^^^^^^^^^^^^\n  File \"/usr/local/lib/python3.12/dist-packages/vllm/entrypoints/llm.py\", line 752, in chat\n    prompt_str = apply_hf_chat_template(\n                 ^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/usr/local/lib/python3.12/dist-packages/vllm/entrypoints/chat_utils.py\", line 1196, in apply_hf_chat_template\n    raise ValueError(\nValueError: As of transformers v4.44, default chat template is no longer allowed, so you must provide a chat template if the tokenizer does not define one.\n"
 }