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eduagarcia-temp
/

llm_pt_leaderboard_requests

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eduagarcia commited on Feb 3

Commit

95e25c3

verified ·

1 Parent(s): 88481fa

Retry 36 FAILED models

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Files changed (36) hide show

AALF/gemma-2-27b-it-SimPO-37K_eval_request_False_bfloat16_Original.json +2 -4
AALF/gemma-2-27b-it-SimPO-37K_eval_request_False_float16_Original.json +2 -4
BAAI/Gemma2-9B-IT-Simpo-Infinity-Preference_eval_request_False_bfloat16_Original.json +2 -4
EpistemeAI2/Fireball-Alpaca-Llama3.1.06-8B-Philos_eval_request_False_float16_Original.json +2 -4
J-LAB/Nemo_Think2_eval_request_False_float16_Original.json +2 -4
J-LAB/Nemo_Think3_eval_request_False_float16_Original.json +2 -4
J-LAB/Nemo_Think_eval_request_False_float16_Original.json +2 -4
Magpie-Align/MagpieLM-8B-Chat-v0.1_eval_request_False_bfloat16_Original.json +2 -4
Magpie-Align/MagpieLM-8B-SFT-v0.1_eval_request_False_bfloat16_Original.json +2 -4
MaziyarPanahi/calme-2.1-qwen2-7b_eval_request_False_bfloat16_Original.json +2 -4
MaziyarPanahi/calme-2.2-qwen2-7b_eval_request_False_bfloat16_Original.json +2 -4
MaziyarPanahi/calme-2.3-qwen2-7b_eval_request_False_bfloat16_Original.json +2 -4
MaziyarPanahi/calme-2.4-qwen2-7b_eval_request_False_bfloat16_Original.json +2 -4
Qwen/Qwen2.5-14B_eval_request_False_bfloat16_Original.json +2 -4
Qwen/Qwen2.5-7B-Instruct_eval_request_False_bfloat16_Original.json +2 -4
Qwen/Qwen2.5-7B_eval_request_False_bfloat16_Original.json +2 -4
SicariusSicariiStuff/Qwen2.5-14B_Uncencored_eval_request_False_float16_Original.json +2 -4
TheDrummer/Big-Tiger-Gemma-27B-v1_eval_request_False_bfloat16_Original.json +2 -4
TheDrummer/Gemmasutra-9B-v1_eval_request_False_bfloat16_Original.json +2 -4
VAGOsolutions/SauerkrautLM-Phi-3-medium_eval_request_False_bfloat16_Original.json +2 -4
abacusai/Slerp-CM-mist-dpo_eval_request_False_float16_Original.json +2 -4
abacusai/bigstral-12b-32k_eval_request_False_float16_Original.json +2 -4
abacusai/bigyi-15b_eval_request_False_float16_Original.json +2 -4
anthracite-org/magnum-v2.5-12b-kto_eval_request_False_float16_Original.json +2 -4
bunnycore/HyperLlama-3.1-8B_eval_request_False_bfloat16_Original.json +2 -4
byroneverson/gemma-2-27b-it-abliterated_eval_request_False_bfloat16_Original.json +2 -4
gaverfraxz/Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES_eval_request_False_float16_Original.json +2 -4
jpacifico/Chocolatine-14B-Instruct-DPO-v1.2_eval_request_False_float16_Original.json +2 -4
migtissera/Tess-3-Mistral-Nemo-12B_eval_request_False_bfloat16_Original.json +2 -4
migtissera/Tess-v2.5-Gemma-2-27B-alpha_eval_request_False_bfloat16_Original.json +2 -4
monsterapi/Llama-3_1-8B-Instruct-orca-ORPO_eval_request_False_bfloat16_Adapter.json +2 -4
nbeerbower/mistral-nemo-wissenschaft-12B_eval_request_False_bfloat16_Original.json +2 -4
princeton-nlp/gemma-2-9b-it-DPO_eval_request_False_bfloat16_Original.json +2 -4
recoilme/recoilme-gemma-2-9B-v0.3_eval_request_False_bfloat16_Original.json +2 -4
recoilme/recoilme-gemma-2-9B-v0.4_eval_request_False_bfloat16_Original.json +2 -4
v000000/Qwen2.5-Lumen-14B_eval_request_False_bfloat16_Original.json +2 -4

AALF/gemma-2-27b-it-SimPO-37K_eval_request_False_bfloat16_Original.json CHANGED Viewed

@@ -8,12 +8,10 @@
     "architectures": "Gemma2ForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
-    "status": "FAILED",
     "submitted_time": "2024-08-29T19:24:31Z",
     "model_type": "💬 : chat (RLHF, DPO, IFT, ...)",
     "source": "leaderboard",
     "job_id": 1061,
-    "job_start_time": "2024-09-09T02-16-20.601975",
-    "error_msg": "[Errno 28] No space left on device",
-    "traceback": "Traceback (most recent call last):\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 200, in wait_download_and_run_request\n    run_request(\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 71, 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 304, in __init__\n    self._create_model(\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 616, in _create_model\n    self._model = self.AUTO_MODEL_CLASS.from_pretrained(\n                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/models/auto/auto_factory.py\", line 564, in from_pretrained\n    return model_class.from_pretrained(\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/modeling_utils.py\", line 3903, in from_pretrained\n    ) = cls._load_pretrained_model(\n        ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/modeling_utils.py\", line 4351, in _load_pretrained_model\n    resolved_archive_file = logging.tqdm(resolved_archive_file, desc=\"Loading checkpoint shards\")\n                            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/logging.py\", line 361, in __call__\n    return tqdm_lib.tqdm(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/asyncio.py\", line 24, in __init__\n    super(tqdm_asyncio, self).__init__(iterable, *args, **kwargs)\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 1097, in __init__\n    self.sp = self.status_printer(self.fp)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 451, in status_printer\n    getattr(sys.stderr, 'flush', lambda: None)()\nOSError: [Errno 28] No space left on device\n"
 }

     "architectures": "Gemma2ForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
+    "status": "RERUN",
     "submitted_time": "2024-08-29T19:24:31Z",
     "model_type": "💬 : chat (RLHF, DPO, IFT, ...)",
     "source": "leaderboard",
     "job_id": 1061,
+    "job_start_time": "2024-09-09T02-16-20.601975"
 }

AALF/gemma-2-27b-it-SimPO-37K_eval_request_False_float16_Original.json CHANGED Viewed

@@ -8,12 +8,10 @@
     "architectures": "Gemma2ForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
-    "status": "FAILED",
     "submitted_time": "2024-09-05T20:33:39Z",
     "model_type": "💬 : chat (RLHF, DPO, IFT, ...)",
     "source": "leaderboard",
     "job_id": 1058,
-    "job_start_time": "2024-09-09T02-07-11.545200",
-    "error_msg": "[Errno 28] No space left on device",
-    "traceback": "Traceback (most recent call last):\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 200, in wait_download_and_run_request\n    run_request(\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 71, 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 304, in __init__\n    self._create_model(\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 616, in _create_model\n    self._model = self.AUTO_MODEL_CLASS.from_pretrained(\n                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/models/auto/auto_factory.py\", line 564, in from_pretrained\n    return model_class.from_pretrained(\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/modeling_utils.py\", line 3903, in from_pretrained\n    ) = cls._load_pretrained_model(\n        ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/modeling_utils.py\", line 4351, in _load_pretrained_model\n    resolved_archive_file = logging.tqdm(resolved_archive_file, desc=\"Loading checkpoint shards\")\n                            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/logging.py\", line 361, in __call__\n    return tqdm_lib.tqdm(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/asyncio.py\", line 24, in __init__\n    super(tqdm_asyncio, self).__init__(iterable, *args, **kwargs)\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 1097, in __init__\n    self.sp = self.status_printer(self.fp)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 451, in status_printer\n    getattr(sys.stderr, 'flush', lambda: None)()\nOSError: [Errno 28] No space left on device\n"
 }

     "architectures": "Gemma2ForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
+    "status": "RERUN",
     "submitted_time": "2024-09-05T20:33:39Z",
     "model_type": "💬 : chat (RLHF, DPO, IFT, ...)",
     "source": "leaderboard",
     "job_id": 1058,
+    "job_start_time": "2024-09-09T02-07-11.545200"
 }

BAAI/Gemma2-9B-IT-Simpo-Infinity-Preference_eval_request_False_bfloat16_Original.json CHANGED Viewed

@@ -8,12 +8,10 @@
     "architectures": "Gemma2ForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
-    "status": "FAILED",
     "submitted_time": "2024-09-02T16:32:57Z",
     "model_type": "💬 : chat (RLHF, DPO, IFT, ...)",
     "source": "leaderboard",
     "job_id": 1050,
-    "job_start_time": "2024-09-09T01-43-17.349330",
-    "error_msg": "[Errno 28] No space left on device",
-    "traceback": "Traceback (most recent call last):\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 200, in wait_download_and_run_request\n    run_request(\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 71, 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 304, in __init__\n    self._create_model(\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 616, in _create_model\n    self._model = self.AUTO_MODEL_CLASS.from_pretrained(\n                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/models/auto/auto_factory.py\", line 564, in from_pretrained\n    return model_class.from_pretrained(\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/modeling_utils.py\", line 3658, in from_pretrained\n    resolved_archive_file, sharded_metadata = get_checkpoint_shard_files(\n                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/hub.py\", line 1076, in get_checkpoint_shard_files\n    for shard_filename in tqdm(shard_filenames, desc=\"Downloading shards\", disable=not show_progress_bar):\n                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/logging.py\", line 361, in __call__\n    return tqdm_lib.tqdm(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/asyncio.py\", line 24, in __init__\n    super(tqdm_asyncio, self).__init__(iterable, *args, **kwargs)\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 1097, in __init__\n    self.sp = self.status_printer(self.fp)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 451, in status_printer\n    getattr(sys.stderr, 'flush', lambda: None)()\nOSError: [Errno 28] No space left on device\n"
 }

     "architectures": "Gemma2ForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
+    "status": "RERUN",
     "submitted_time": "2024-09-02T16:32:57Z",
     "model_type": "💬 : chat (RLHF, DPO, IFT, ...)",
     "source": "leaderboard",
     "job_id": 1050,
+    "job_start_time": "2024-09-09T01-43-17.349330"
 }

EpistemeAI2/Fireball-Alpaca-Llama3.1.06-8B-Philos_eval_request_False_float16_Original.json CHANGED Viewed

@@ -8,12 +8,10 @@
     "architectures": "LlamaForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
-    "status": "FAILED",
     "submitted_time": "2024-09-09T17:52:08Z",
     "model_type": "🔶 : fine-tuned/fp on domain-specific datasets",
     "source": "leaderboard",
     "job_id": 1063,
-    "job_start_time": "2024-09-10T01-40-21.109448",
-    "error_msg": "[Errno 28] No space left on device",
-    "traceback": "Traceback (most recent call last):\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 200, in wait_download_and_run_request\n    run_request(\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 71, 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 304, in __init__\n    self._create_model(\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 616, in _create_model\n    self._model = self.AUTO_MODEL_CLASS.from_pretrained(\n                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/models/auto/auto_factory.py\", line 564, in from_pretrained\n    return model_class.from_pretrained(\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/modeling_utils.py\", line 3658, in from_pretrained\n    resolved_archive_file, sharded_metadata = get_checkpoint_shard_files(\n                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/hub.py\", line 1076, in get_checkpoint_shard_files\n    for shard_filename in tqdm(shard_filenames, desc=\"Downloading shards\", disable=not show_progress_bar):\n                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/logging.py\", line 361, in __call__\n    return tqdm_lib.tqdm(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/asyncio.py\", line 24, in __init__\n    super(tqdm_asyncio, self).__init__(iterable, *args, **kwargs)\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 1097, in __init__\n    self.sp = self.status_printer(self.fp)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 451, in status_printer\n    getattr(sys.stderr, 'flush', lambda: None)()\nOSError: [Errno 28] No space left on device\n"
 }

     "architectures": "LlamaForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
+    "status": "RERUN",
     "submitted_time": "2024-09-09T17:52:08Z",
     "model_type": "🔶 : fine-tuned/fp on domain-specific datasets",
     "source": "leaderboard",
     "job_id": 1063,
+    "job_start_time": "2024-09-10T01-40-21.109448"
 }

J-LAB/Nemo_Think2_eval_request_False_float16_Original.json CHANGED Viewed

@@ -8,12 +8,10 @@
     "architectures": "MistralForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
-    "status": "FAILED",
     "submitted_time": "2024-09-19T20:13:29Z",
     "model_type": "💬 : chat (RLHF, DPO, IFT, ...)",
     "source": "leaderboard",
     "job_id": 1120,
-    "job_start_time": "2024-09-23T09-36-36.092477",
-    "error_msg": "[Errno 28] No space left on device",
-    "traceback": "Traceback (most recent call last):\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 200, in wait_download_and_run_request\n    run_request(\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 71, 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 304, in __init__\n    self._create_model(\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 616, in _create_model\n    self._model = self.AUTO_MODEL_CLASS.from_pretrained(\n                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/models/auto/auto_factory.py\", line 564, in from_pretrained\n    return model_class.from_pretrained(\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/modeling_utils.py\", line 3658, in from_pretrained\n    resolved_archive_file, sharded_metadata = get_checkpoint_shard_files(\n                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/hub.py\", line 1076, in get_checkpoint_shard_files\n    for shard_filename in tqdm(shard_filenames, desc=\"Downloading shards\", disable=not show_progress_bar):\n                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/logging.py\", line 361, in __call__\n    return tqdm_lib.tqdm(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/asyncio.py\", line 24, in __init__\n    super(tqdm_asyncio, self).__init__(iterable, *args, **kwargs)\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 1097, in __init__\n    self.sp = self.status_printer(self.fp)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 451, in status_printer\n    getattr(sys.stderr, 'flush', lambda: None)()\nOSError: [Errno 28] No space left on device\n"
 }

     "architectures": "MistralForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
+    "status": "RERUN",
     "submitted_time": "2024-09-19T20:13:29Z",
     "model_type": "💬 : chat (RLHF, DPO, IFT, ...)",
     "source": "leaderboard",
     "job_id": 1120,
+    "job_start_time": "2024-09-23T09-36-36.092477"
 }

J-LAB/Nemo_Think3_eval_request_False_float16_Original.json CHANGED Viewed

@@ -8,12 +8,10 @@
     "architectures": "MistralForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
-    "status": "FAILED",
     "submitted_time": "2024-09-20T19:24:41Z",
     "model_type": "💬 : chat (RLHF, DPO, IFT, ...)",
     "source": "leaderboard",
     "job_id": 1123,
-    "job_start_time": "2024-09-23T09-46-58.753067",
-    "error_msg": "[Errno 28] No space left on device",
-    "traceback": "Traceback (most recent call last):\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 200, in wait_download_and_run_request\n    run_request(\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 71, 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 304, in __init__\n    self._create_model(\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 616, in _create_model\n    self._model = self.AUTO_MODEL_CLASS.from_pretrained(\n                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/models/auto/auto_factory.py\", line 564, in from_pretrained\n    return model_class.from_pretrained(\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/modeling_utils.py\", line 3658, in from_pretrained\n    resolved_archive_file, sharded_metadata = get_checkpoint_shard_files(\n                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/hub.py\", line 1076, in get_checkpoint_shard_files\n    for shard_filename in tqdm(shard_filenames, desc=\"Downloading shards\", disable=not show_progress_bar):\n                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/logging.py\", line 361, in __call__\n    return tqdm_lib.tqdm(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/asyncio.py\", line 24, in __init__\n    super(tqdm_asyncio, self).__init__(iterable, *args, **kwargs)\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 1097, in __init__\n    self.sp = self.status_printer(self.fp)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 451, in status_printer\n    getattr(sys.stderr, 'flush', lambda: None)()\nOSError: [Errno 28] No space left on device\n"
 }

     "architectures": "MistralForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
+    "status": "RERUN",
     "submitted_time": "2024-09-20T19:24:41Z",
     "model_type": "💬 : chat (RLHF, DPO, IFT, ...)",
     "source": "leaderboard",
     "job_id": 1123,
+    "job_start_time": "2024-09-23T09-46-58.753067"
 }

J-LAB/Nemo_Think_eval_request_False_float16_Original.json CHANGED Viewed

@@ -8,12 +8,10 @@
     "architectures": "MistralForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
-    "status": "FAILED",
     "submitted_time": "2024-09-19T13:42:42Z",
     "model_type": "💬 : chat (RLHF, DPO, IFT, ...)",
     "source": "leaderboard",
     "job_id": 1113,
-    "job_start_time": "2024-09-23T09-11-05.359972",
-    "error_msg": "[Errno 28] No space left on device",
-    "traceback": "Traceback (most recent call last):\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 200, in wait_download_and_run_request\n    run_request(\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 71, 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 304, in __init__\n    self._create_model(\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 616, in _create_model\n    self._model = self.AUTO_MODEL_CLASS.from_pretrained(\n                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/models/auto/auto_factory.py\", line 564, in from_pretrained\n    return model_class.from_pretrained(\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/modeling_utils.py\", line 3658, in from_pretrained\n    resolved_archive_file, sharded_metadata = get_checkpoint_shard_files(\n                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/hub.py\", line 1076, in get_checkpoint_shard_files\n    for shard_filename in tqdm(shard_filenames, desc=\"Downloading shards\", disable=not show_progress_bar):\n                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/logging.py\", line 361, in __call__\n    return tqdm_lib.tqdm(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/asyncio.py\", line 24, in __init__\n    super(tqdm_asyncio, self).__init__(iterable, *args, **kwargs)\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 1097, in __init__\n    self.sp = self.status_printer(self.fp)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 451, in status_printer\n    getattr(sys.stderr, 'flush', lambda: None)()\nOSError: [Errno 28] No space left on device\n"
 }

     "architectures": "MistralForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
+    "status": "RERUN",
     "submitted_time": "2024-09-19T13:42:42Z",
     "model_type": "💬 : chat (RLHF, DPO, IFT, ...)",
     "source": "leaderboard",
     "job_id": 1113,
+    "job_start_time": "2024-09-23T09-11-05.359972"
 }

Magpie-Align/MagpieLM-8B-Chat-v0.1_eval_request_False_bfloat16_Original.json CHANGED Viewed

@@ -8,12 +8,10 @@
     "architectures": "LlamaForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
-    "status": "FAILED",
     "submitted_time": "2024-09-19T04:37:59Z",
     "model_type": "💬 : chat (RLHF, DPO, IFT, ...)",
     "source": "leaderboard",
     "job_id": 1112,
-    "job_start_time": "2024-09-23T09-07-25.125234",
-    "error_msg": "[Errno 28] No space left on device",
-    "traceback": "Traceback (most recent call last):\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 200, in wait_download_and_run_request\n    run_request(\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 71, 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 304, in __init__\n    self._create_model(\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 616, in _create_model\n    self._model = self.AUTO_MODEL_CLASS.from_pretrained(\n                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/models/auto/auto_factory.py\", line 564, in from_pretrained\n    return model_class.from_pretrained(\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/modeling_utils.py\", line 3658, in from_pretrained\n    resolved_archive_file, sharded_metadata = get_checkpoint_shard_files(\n                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/hub.py\", line 1076, in get_checkpoint_shard_files\n    for shard_filename in tqdm(shard_filenames, desc=\"Downloading shards\", disable=not show_progress_bar):\n                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/logging.py\", line 361, in __call__\n    return tqdm_lib.tqdm(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/asyncio.py\", line 24, in __init__\n    super(tqdm_asyncio, self).__init__(iterable, *args, **kwargs)\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 1097, in __init__\n    self.sp = self.status_printer(self.fp)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 451, in status_printer\n    getattr(sys.stderr, 'flush', lambda: None)()\nOSError: [Errno 28] No space left on device\n"
 }

     "architectures": "LlamaForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
+    "status": "RERUN",
     "submitted_time": "2024-09-19T04:37:59Z",
     "model_type": "💬 : chat (RLHF, DPO, IFT, ...)",
     "source": "leaderboard",
     "job_id": 1112,
+    "job_start_time": "2024-09-23T09-07-25.125234"
 }

Magpie-Align/MagpieLM-8B-SFT-v0.1_eval_request_False_bfloat16_Original.json CHANGED Viewed

@@ -8,12 +8,10 @@
     "architectures": "LlamaForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
-    "status": "FAILED",
     "submitted_time": "2024-09-19T04:36:41Z",
     "model_type": "🔶 : fine-tuned/fp on domain-specific datasets",
     "source": "leaderboard",
     "job_id": 1111,
-    "job_start_time": "2024-09-23T09-03-42.325574",
-    "error_msg": "[Errno 28] No space left on device",
-    "traceback": "Traceback (most recent call last):\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 200, in wait_download_and_run_request\n    run_request(\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 71, 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 304, in __init__\n    self._create_model(\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 616, in _create_model\n    self._model = self.AUTO_MODEL_CLASS.from_pretrained(\n                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/models/auto/auto_factory.py\", line 564, in from_pretrained\n    return model_class.from_pretrained(\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/modeling_utils.py\", line 3658, in from_pretrained\n    resolved_archive_file, sharded_metadata = get_checkpoint_shard_files(\n                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/hub.py\", line 1076, in get_checkpoint_shard_files\n    for shard_filename in tqdm(shard_filenames, desc=\"Downloading shards\", disable=not show_progress_bar):\n                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/logging.py\", line 361, in __call__\n    return tqdm_lib.tqdm(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/asyncio.py\", line 24, in __init__\n    super(tqdm_asyncio, self).__init__(iterable, *args, **kwargs)\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 1097, in __init__\n    self.sp = self.status_printer(self.fp)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 451, in status_printer\n    getattr(sys.stderr, 'flush', lambda: None)()\nOSError: [Errno 28] No space left on device\n"
 }

     "architectures": "LlamaForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
+    "status": "RERUN",
     "submitted_time": "2024-09-19T04:36:41Z",
     "model_type": "🔶 : fine-tuned/fp on domain-specific datasets",
     "source": "leaderboard",
     "job_id": 1111,
+    "job_start_time": "2024-09-23T09-03-42.325574"
 }

MaziyarPanahi/calme-2.1-qwen2-7b_eval_request_False_bfloat16_Original.json CHANGED Viewed

@@ -8,12 +8,10 @@
     "architectures": "Qwen2ForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
-    "status": "FAILED",
     "submitted_time": "2024-09-18T20:25:05Z",
     "model_type": "🔶 : fine-tuned/fp on domain-specific datasets",
     "source": "leaderboard",
     "job_id": 1103,
-    "job_start_time": "2024-09-23T05-22-36.556078",
-    "error_msg": "[Errno 28] No space left on device",
-    "traceback": "Traceback (most recent call last):\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 200, in wait_download_and_run_request\n    run_request(\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 71, 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 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/huggingface.py\", line 1553, in generate_until\n    pbar.update(1)\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 1243, in update\n    self.refresh(lock_args=self.lock_args)\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 1348, in refresh\n    self.display()\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 1496, in display\n    self.sp(self.__str__() if msg is None else msg)\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 462, in print_status\n    fp_write('\\r' + s + (' ' * max(last_len[0] - len_s, 0)))\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 455, in fp_write\n    fp.write(str(s))\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/utils.py\", line 195, in inner\n    return func(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^^^\nOSError: [Errno 28] No space left on device\n"
 }

     "architectures": "Qwen2ForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
+    "status": "RERUN",
     "submitted_time": "2024-09-18T20:25:05Z",
     "model_type": "🔶 : fine-tuned/fp on domain-specific datasets",
     "source": "leaderboard",
     "job_id": 1103,
+    "job_start_time": "2024-09-23T05-22-36.556078"
 }

MaziyarPanahi/calme-2.2-qwen2-7b_eval_request_False_bfloat16_Original.json CHANGED Viewed

@@ -8,12 +8,10 @@
     "architectures": "Qwen2ForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
-    "status": "FAILED",
     "submitted_time": "2024-09-18T20:25:13Z",
     "model_type": "🔶 : fine-tuned/fp on domain-specific datasets",
     "source": "leaderboard",
     "job_id": 1104,
-    "job_start_time": "2024-09-23T08-38-27.841505",
-    "error_msg": "[Errno 28] No space left on device",
-    "traceback": "Traceback (most recent call last):\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 200, in wait_download_and_run_request\n    run_request(\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 71, 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 304, in __init__\n    self._create_model(\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 616, in _create_model\n    self._model = self.AUTO_MODEL_CLASS.from_pretrained(\n                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/models/auto/auto_factory.py\", line 564, in from_pretrained\n    return model_class.from_pretrained(\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/modeling_utils.py\", line 3658, in from_pretrained\n    resolved_archive_file, sharded_metadata = get_checkpoint_shard_files(\n                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/hub.py\", line 1076, in get_checkpoint_shard_files\n    for shard_filename in tqdm(shard_filenames, desc=\"Downloading shards\", disable=not show_progress_bar):\n                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/logging.py\", line 361, in __call__\n    return tqdm_lib.tqdm(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/asyncio.py\", line 24, in __init__\n    super(tqdm_asyncio, self).__init__(iterable, *args, **kwargs)\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 1097, in __init__\n    self.sp = self.status_printer(self.fp)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 451, in status_printer\n    getattr(sys.stderr, 'flush', lambda: None)()\nOSError: [Errno 28] No space left on device\n"
 }

     "architectures": "Qwen2ForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
+    "status": "RERUN",
     "submitted_time": "2024-09-18T20:25:13Z",
     "model_type": "🔶 : fine-tuned/fp on domain-specific datasets",
     "source": "leaderboard",
     "job_id": 1104,
+    "job_start_time": "2024-09-23T08-38-27.841505"
 }

MaziyarPanahi/calme-2.3-qwen2-7b_eval_request_False_bfloat16_Original.json CHANGED Viewed

@@ -8,12 +8,10 @@
     "architectures": "Qwen2ForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
-    "status": "FAILED",
     "submitted_time": "2024-09-18T20:25:21Z",
     "model_type": "🔶 : fine-tuned/fp on domain-specific datasets",
     "source": "leaderboard",
     "job_id": 1105,
-    "job_start_time": "2024-09-23T08-42-03.286008",
-    "error_msg": "[Errno 28] No space left on device",
-    "traceback": "Traceback (most recent call last):\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 200, in wait_download_and_run_request\n    run_request(\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 71, 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 304, in __init__\n    self._create_model(\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 616, in _create_model\n    self._model = self.AUTO_MODEL_CLASS.from_pretrained(\n                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/models/auto/auto_factory.py\", line 564, in from_pretrained\n    return model_class.from_pretrained(\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/modeling_utils.py\", line 3658, in from_pretrained\n    resolved_archive_file, sharded_metadata = get_checkpoint_shard_files(\n                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/hub.py\", line 1076, in get_checkpoint_shard_files\n    for shard_filename in tqdm(shard_filenames, desc=\"Downloading shards\", disable=not show_progress_bar):\n                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/logging.py\", line 361, in __call__\n    return tqdm_lib.tqdm(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/asyncio.py\", line 24, in __init__\n    super(tqdm_asyncio, self).__init__(iterable, *args, **kwargs)\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 1097, in __init__\n    self.sp = self.status_printer(self.fp)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 451, in status_printer\n    getattr(sys.stderr, 'flush', lambda: None)()\nOSError: [Errno 28] No space left on device\n"
 }

     "architectures": "Qwen2ForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
+    "status": "RERUN",
     "submitted_time": "2024-09-18T20:25:21Z",
     "model_type": "🔶 : fine-tuned/fp on domain-specific datasets",
     "source": "leaderboard",
     "job_id": 1105,
+    "job_start_time": "2024-09-23T08-42-03.286008"
 }

MaziyarPanahi/calme-2.4-qwen2-7b_eval_request_False_bfloat16_Original.json CHANGED Viewed

@@ -8,12 +8,10 @@
     "architectures": "Qwen2ForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
-    "status": "FAILED",
     "submitted_time": "2024-09-18T20:25:28Z",
     "model_type": "🔶 : fine-tuned/fp on domain-specific datasets",
     "source": "leaderboard",
     "job_id": 1106,
-    "job_start_time": "2024-09-23T08-45-39.179643",
-    "error_msg": "[Errno 28] No space left on device",
-    "traceback": "Traceback (most recent call last):\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 200, in wait_download_and_run_request\n    run_request(\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 71, 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 304, in __init__\n    self._create_model(\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 616, in _create_model\n    self._model = self.AUTO_MODEL_CLASS.from_pretrained(\n                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/models/auto/auto_factory.py\", line 564, in from_pretrained\n    return model_class.from_pretrained(\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/modeling_utils.py\", line 3658, in from_pretrained\n    resolved_archive_file, sharded_metadata = get_checkpoint_shard_files(\n                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/hub.py\", line 1076, in get_checkpoint_shard_files\n    for shard_filename in tqdm(shard_filenames, desc=\"Downloading shards\", disable=not show_progress_bar):\n                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/logging.py\", line 361, in __call__\n    return tqdm_lib.tqdm(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/asyncio.py\", line 24, in __init__\n    super(tqdm_asyncio, self).__init__(iterable, *args, **kwargs)\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 1097, in __init__\n    self.sp = self.status_printer(self.fp)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 451, in status_printer\n    getattr(sys.stderr, 'flush', lambda: None)()\nOSError: [Errno 28] No space left on device\n"
 }

     "architectures": "Qwen2ForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
+    "status": "RERUN",
     "submitted_time": "2024-09-18T20:25:28Z",
     "model_type": "🔶 : fine-tuned/fp on domain-specific datasets",
     "source": "leaderboard",
     "job_id": 1106,
+    "job_start_time": "2024-09-23T08-45-39.179643"
 }

Qwen/Qwen2.5-14B_eval_request_False_bfloat16_Original.json CHANGED Viewed

@@ -8,12 +8,10 @@
     "architectures": "Qwen2ForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
-    "status": "FAILED",
     "submitted_time": "2024-09-18T22:09:13Z",
     "model_type": "🟢 : pretrained",
     "source": "leaderboard",
     "job_id": 1109,
-    "job_start_time": "2024-09-23T08-56-25.014044",
-    "error_msg": "[Errno 28] No space left on device",
-    "traceback": "Traceback (most recent call last):\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 200, in wait_download_and_run_request\n    run_request(\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 71, 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 304, in __init__\n    self._create_model(\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 616, in _create_model\n    self._model = self.AUTO_MODEL_CLASS.from_pretrained(\n                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/models/auto/auto_factory.py\", line 564, in from_pretrained\n    return model_class.from_pretrained(\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/modeling_utils.py\", line 3658, in from_pretrained\n    resolved_archive_file, sharded_metadata = get_checkpoint_shard_files(\n                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/hub.py\", line 1076, in get_checkpoint_shard_files\n    for shard_filename in tqdm(shard_filenames, desc=\"Downloading shards\", disable=not show_progress_bar):\n                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/logging.py\", line 361, in __call__\n    return tqdm_lib.tqdm(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/asyncio.py\", line 24, in __init__\n    super(tqdm_asyncio, self).__init__(iterable, *args, **kwargs)\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 1097, in __init__\n    self.sp = self.status_printer(self.fp)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 451, in status_printer\n    getattr(sys.stderr, 'flush', lambda: None)()\nOSError: [Errno 28] No space left on device\n"
 }

     "architectures": "Qwen2ForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
+    "status": "RERUN",
     "submitted_time": "2024-09-18T22:09:13Z",
     "model_type": "🟢 : pretrained",
     "source": "leaderboard",
     "job_id": 1109,
+    "job_start_time": "2024-09-23T08-56-25.014044"
 }

Qwen/Qwen2.5-7B-Instruct_eval_request_False_bfloat16_Original.json CHANGED Viewed

@@ -8,12 +8,10 @@
     "architectures": "Qwen2ForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
-    "status": "FAILED",
     "submitted_time": "2024-09-18T22:08:38Z",
     "model_type": "💬 : chat (RLHF, DPO, IFT, ...)",
     "source": "leaderboard",
     "job_id": 1108,
-    "job_start_time": "2024-09-23T08-52-49.584127",
-    "error_msg": "[Errno 28] No space left on device",
-    "traceback": "Traceback (most recent call last):\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 200, in wait_download_and_run_request\n    run_request(\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 71, 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 304, in __init__\n    self._create_model(\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 616, in _create_model\n    self._model = self.AUTO_MODEL_CLASS.from_pretrained(\n                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/models/auto/auto_factory.py\", line 564, in from_pretrained\n    return model_class.from_pretrained(\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/modeling_utils.py\", line 3658, in from_pretrained\n    resolved_archive_file, sharded_metadata = get_checkpoint_shard_files(\n                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/hub.py\", line 1076, in get_checkpoint_shard_files\n    for shard_filename in tqdm(shard_filenames, desc=\"Downloading shards\", disable=not show_progress_bar):\n                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/logging.py\", line 361, in __call__\n    return tqdm_lib.tqdm(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/asyncio.py\", line 24, in __init__\n    super(tqdm_asyncio, self).__init__(iterable, *args, **kwargs)\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 1097, in __init__\n    self.sp = self.status_printer(self.fp)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 451, in status_printer\n    getattr(sys.stderr, 'flush', lambda: None)()\nOSError: [Errno 28] No space left on device\n"
 }

     "architectures": "Qwen2ForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
+    "status": "RERUN",
     "submitted_time": "2024-09-18T22:08:38Z",
     "model_type": "💬 : chat (RLHF, DPO, IFT, ...)",
     "source": "leaderboard",
     "job_id": 1108,
+    "job_start_time": "2024-09-23T08-52-49.584127"
 }

Qwen/Qwen2.5-7B_eval_request_False_bfloat16_Original.json CHANGED Viewed

@@ -8,12 +8,10 @@
     "architectures": "Qwen2ForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
-    "status": "FAILED",
     "submitted_time": "2024-09-18T22:09:22Z",
     "model_type": "🟢 : pretrained",
     "source": "leaderboard",
     "job_id": 1110,
-    "job_start_time": "2024-09-23T09-00-01.154915",
-    "error_msg": "[Errno 28] No space left on device",
-    "traceback": "Traceback (most recent call last):\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 200, in wait_download_and_run_request\n    run_request(\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 71, 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 304, in __init__\n    self._create_model(\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 616, in _create_model\n    self._model = self.AUTO_MODEL_CLASS.from_pretrained(\n                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/models/auto/auto_factory.py\", line 564, in from_pretrained\n    return model_class.from_pretrained(\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/modeling_utils.py\", line 3658, in from_pretrained\n    resolved_archive_file, sharded_metadata = get_checkpoint_shard_files(\n                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/hub.py\", line 1076, in get_checkpoint_shard_files\n    for shard_filename in tqdm(shard_filenames, desc=\"Downloading shards\", disable=not show_progress_bar):\n                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/logging.py\", line 361, in __call__\n    return tqdm_lib.tqdm(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/asyncio.py\", line 24, in __init__\n    super(tqdm_asyncio, self).__init__(iterable, *args, **kwargs)\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 1097, in __init__\n    self.sp = self.status_printer(self.fp)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 451, in status_printer\n    getattr(sys.stderr, 'flush', lambda: None)()\nOSError: [Errno 28] No space left on device\n"
 }

     "architectures": "Qwen2ForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
+    "status": "RERUN",
     "submitted_time": "2024-09-18T22:09:22Z",
     "model_type": "🟢 : pretrained",
     "source": "leaderboard",
     "job_id": 1110,
+    "job_start_time": "2024-09-23T09-00-01.154915"
 }

SicariusSicariiStuff/Qwen2.5-14B_Uncencored_eval_request_False_float16_Original.json CHANGED Viewed

@@ -8,12 +8,10 @@
     "architectures": "Qwen2ForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
-    "status": "FAILED",
     "submitted_time": "2024-09-20T17:08:18Z",
     "model_type": "🔶 : fine-tuned/fp on domain-specific datasets",
     "source": "leaderboard",
     "job_id": 1121,
-    "job_start_time": "2024-09-23T09-40-08.401951",
-    "error_msg": "[Errno 28] No space left on device",
-    "traceback": "Traceback (most recent call last):\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 200, in wait_download_and_run_request\n    run_request(\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 71, 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 304, in __init__\n    self._create_model(\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 616, in _create_model\n    self._model = self.AUTO_MODEL_CLASS.from_pretrained(\n                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/models/auto/auto_factory.py\", line 564, in from_pretrained\n    return model_class.from_pretrained(\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/modeling_utils.py\", line 3658, in from_pretrained\n    resolved_archive_file, sharded_metadata = get_checkpoint_shard_files(\n                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/hub.py\", line 1076, in get_checkpoint_shard_files\n    for shard_filename in tqdm(shard_filenames, desc=\"Downloading shards\", disable=not show_progress_bar):\n                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/logging.py\", line 361, in __call__\n    return tqdm_lib.tqdm(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/asyncio.py\", line 24, in __init__\n    super(tqdm_asyncio, self).__init__(iterable, *args, **kwargs)\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 1097, in __init__\n    self.sp = self.status_printer(self.fp)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 451, in status_printer\n    getattr(sys.stderr, 'flush', lambda: None)()\nOSError: [Errno 28] No space left on device\n"
 }

     "architectures": "Qwen2ForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
+    "status": "RERUN",
     "submitted_time": "2024-09-20T17:08:18Z",
     "model_type": "🔶 : fine-tuned/fp on domain-specific datasets",
     "source": "leaderboard",
     "job_id": 1121,
+    "job_start_time": "2024-09-23T09-40-08.401951"
 }

TheDrummer/Big-Tiger-Gemma-27B-v1_eval_request_False_bfloat16_Original.json CHANGED Viewed

@@ -8,12 +8,10 @@
     "architectures": "Gemma2ForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
-    "status": "FAILED",
     "submitted_time": "2024-09-05T20:25:36Z",
     "model_type": "🔶 : fine-tuned/fp on domain-specific datasets",
     "source": "leaderboard",
     "job_id": 1056,
-    "job_start_time": "2024-09-09T02-01-14.321515",
-    "error_msg": "[Errno 28] No space left on device",
-    "traceback": "Traceback (most recent call last):\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 200, in wait_download_and_run_request\n    run_request(\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 71, 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 304, in __init__\n    self._create_model(\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 616, in _create_model\n    self._model = self.AUTO_MODEL_CLASS.from_pretrained(\n                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/models/auto/auto_factory.py\", line 564, in from_pretrained\n    return model_class.from_pretrained(\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/modeling_utils.py\", line 3658, in from_pretrained\n    resolved_archive_file, sharded_metadata = get_checkpoint_shard_files(\n                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/hub.py\", line 1076, in get_checkpoint_shard_files\n    for shard_filename in tqdm(shard_filenames, desc=\"Downloading shards\", disable=not show_progress_bar):\n                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/logging.py\", line 361, in __call__\n    return tqdm_lib.tqdm(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/asyncio.py\", line 24, in __init__\n    super(tqdm_asyncio, self).__init__(iterable, *args, **kwargs)\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 1097, in __init__\n    self.sp = self.status_printer(self.fp)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 451, in status_printer\n    getattr(sys.stderr, 'flush', lambda: None)()\nOSError: [Errno 28] No space left on device\n"
 }

     "architectures": "Gemma2ForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
+    "status": "RERUN",
     "submitted_time": "2024-09-05T20:25:36Z",
     "model_type": "🔶 : fine-tuned/fp on domain-specific datasets",
     "source": "leaderboard",
     "job_id": 1056,
+    "job_start_time": "2024-09-09T02-01-14.321515"
 }

TheDrummer/Gemmasutra-9B-v1_eval_request_False_bfloat16_Original.json CHANGED Viewed

@@ -8,12 +8,10 @@
     "architectures": "Gemma2ForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
-    "status": "FAILED",
     "submitted_time": "2024-09-19T15:28:20Z",
     "model_type": "🤝 : base merges and moerges",
     "source": "leaderboard",
     "job_id": 1115,
-    "job_start_time": "2024-09-23T09-18-21.723039",
-    "error_msg": "[Errno 28] No space left on device",
-    "traceback": "Traceback (most recent call last):\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 200, in wait_download_and_run_request\n    run_request(\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 71, 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 304, in __init__\n    self._create_model(\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 616, in _create_model\n    self._model = self.AUTO_MODEL_CLASS.from_pretrained(\n                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/models/auto/auto_factory.py\", line 564, in from_pretrained\n    return model_class.from_pretrained(\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/modeling_utils.py\", line 3658, in from_pretrained\n    resolved_archive_file, sharded_metadata = get_checkpoint_shard_files(\n                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/hub.py\", line 1076, in get_checkpoint_shard_files\n    for shard_filename in tqdm(shard_filenames, desc=\"Downloading shards\", disable=not show_progress_bar):\n                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/logging.py\", line 361, in __call__\n    return tqdm_lib.tqdm(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/asyncio.py\", line 24, in __init__\n    super(tqdm_asyncio, self).__init__(iterable, *args, **kwargs)\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 1097, in __init__\n    self.sp = self.status_printer(self.fp)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 451, in status_printer\n    getattr(sys.stderr, 'flush', lambda: None)()\nOSError: [Errno 28] No space left on device\n"
 }

     "architectures": "Gemma2ForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
+    "status": "RERUN",
     "submitted_time": "2024-09-19T15:28:20Z",
     "model_type": "🤝 : base merges and moerges",
     "source": "leaderboard",
     "job_id": 1115,
+    "job_start_time": "2024-09-23T09-18-21.723039"
 }

VAGOsolutions/SauerkrautLM-Phi-3-medium_eval_request_False_bfloat16_Original.json CHANGED Viewed

@@ -8,12 +8,10 @@
     "architectures": "MistralForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
-    "status": "FAILED",
     "submitted_time": "2024-09-19T16:16:35Z",
     "model_type": "💬 : chat (RLHF, DPO, IFT, ...)",
     "source": "leaderboard",
     "job_id": 1119,
-    "job_start_time": "2024-09-23T09-32-59.618920",
-    "error_msg": "[Errno 28] No space left on device",
-    "traceback": "Traceback (most recent call last):\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 200, in wait_download_and_run_request\n    run_request(\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 71, 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 304, in __init__\n    self._create_model(\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 616, in _create_model\n    self._model = self.AUTO_MODEL_CLASS.from_pretrained(\n                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/models/auto/auto_factory.py\", line 564, in from_pretrained\n    return model_class.from_pretrained(\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/modeling_utils.py\", line 3658, in from_pretrained\n    resolved_archive_file, sharded_metadata = get_checkpoint_shard_files(\n                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/hub.py\", line 1076, in get_checkpoint_shard_files\n    for shard_filename in tqdm(shard_filenames, desc=\"Downloading shards\", disable=not show_progress_bar):\n                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/logging.py\", line 361, in __call__\n    return tqdm_lib.tqdm(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/asyncio.py\", line 24, in __init__\n    super(tqdm_asyncio, self).__init__(iterable, *args, **kwargs)\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 1097, in __init__\n    self.sp = self.status_printer(self.fp)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 451, in status_printer\n    getattr(sys.stderr, 'flush', lambda: None)()\nOSError: [Errno 28] No space left on device\n"
 }

     "architectures": "MistralForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
+    "status": "RERUN",
     "submitted_time": "2024-09-19T16:16:35Z",
     "model_type": "💬 : chat (RLHF, DPO, IFT, ...)",
     "source": "leaderboard",
     "job_id": 1119,
+    "job_start_time": "2024-09-23T09-32-59.618920"
 }

abacusai/Slerp-CM-mist-dpo_eval_request_False_float16_Original.json CHANGED Viewed

@@ -8,12 +8,10 @@
     "architectures": "MistralForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
-    "status": "FAILED",
     "submitted_time": "2024-09-05T03:45:24Z",
     "model_type": "💬 : chat (RLHF, DPO, IFT, ...)",
     "source": "leaderboard",
     "job_id": 1053,
-    "job_start_time": "2024-09-09T01-52-14.100568",
-    "error_msg": "[Errno 28] No space left on device",
-    "traceback": "Traceback (most recent call last):\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 200, in wait_download_and_run_request\n    run_request(\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 71, 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 304, in __init__\n    self._create_model(\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 616, in _create_model\n    self._model = self.AUTO_MODEL_CLASS.from_pretrained(\n                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/models/auto/auto_factory.py\", line 564, in from_pretrained\n    return model_class.from_pretrained(\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/modeling_utils.py\", line 3658, in from_pretrained\n    resolved_archive_file, sharded_metadata = get_checkpoint_shard_files(\n                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/hub.py\", line 1076, in get_checkpoint_shard_files\n    for shard_filename in tqdm(shard_filenames, desc=\"Downloading shards\", disable=not show_progress_bar):\n                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/logging.py\", line 361, in __call__\n    return tqdm_lib.tqdm(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/asyncio.py\", line 24, in __init__\n    super(tqdm_asyncio, self).__init__(iterable, *args, **kwargs)\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 1097, in __init__\n    self.sp = self.status_printer(self.fp)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 451, in status_printer\n    getattr(sys.stderr, 'flush', lambda: None)()\nOSError: [Errno 28] No space left on device\n"
 }

     "architectures": "MistralForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
+    "status": "RERUN",
     "submitted_time": "2024-09-05T03:45:24Z",
     "model_type": "💬 : chat (RLHF, DPO, IFT, ...)",
     "source": "leaderboard",
     "job_id": 1053,
+    "job_start_time": "2024-09-09T01-52-14.100568"
 }

abacusai/bigstral-12b-32k_eval_request_False_float16_Original.json CHANGED Viewed

@@ -8,12 +8,10 @@
     "architectures": "MistralForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
-    "status": "FAILED",
     "submitted_time": "2024-09-04T16:49:34Z",
     "model_type": "🤝 : base merges and moerges",
     "source": "leaderboard",
     "job_id": 1051,
-    "job_start_time": "2024-09-09T01-46-16.045949",
-    "error_msg": "[Errno 28] No space left on device",
-    "traceback": "Traceback (most recent call last):\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 200, in wait_download_and_run_request\n    run_request(\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 71, 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 304, in __init__\n    self._create_model(\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 616, in _create_model\n    self._model = self.AUTO_MODEL_CLASS.from_pretrained(\n                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/models/auto/auto_factory.py\", line 564, in from_pretrained\n    return model_class.from_pretrained(\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/modeling_utils.py\", line 3658, in from_pretrained\n    resolved_archive_file, sharded_metadata = get_checkpoint_shard_files(\n                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/hub.py\", line 1076, in get_checkpoint_shard_files\n    for shard_filename in tqdm(shard_filenames, desc=\"Downloading shards\", disable=not show_progress_bar):\n                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/logging.py\", line 361, in __call__\n    return tqdm_lib.tqdm(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/asyncio.py\", line 24, in __init__\n    super(tqdm_asyncio, self).__init__(iterable, *args, **kwargs)\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 1097, in __init__\n    self.sp = self.status_printer(self.fp)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 451, in status_printer\n    getattr(sys.stderr, 'flush', lambda: None)()\nOSError: [Errno 28] No space left on device\n"
 }

     "architectures": "MistralForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
+    "status": "RERUN",
     "submitted_time": "2024-09-04T16:49:34Z",
     "model_type": "🤝 : base merges and moerges",
     "source": "leaderboard",
     "job_id": 1051,
+    "job_start_time": "2024-09-09T01-46-16.045949"
 }

abacusai/bigyi-15b_eval_request_False_float16_Original.json CHANGED Viewed

@@ -8,12 +8,10 @@
     "architectures": "LlamaForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
-    "status": "FAILED",
     "submitted_time": "2024-09-04T16:50:31Z",
     "model_type": "🤝 : base merges and moerges",
     "source": "leaderboard",
     "job_id": 1052,
-    "job_start_time": "2024-09-09T01-49-14.056504",
-    "error_msg": "[Errno 28] No space left on device",
-    "traceback": "Traceback (most recent call last):\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 200, in wait_download_and_run_request\n    run_request(\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 71, 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 304, in __init__\n    self._create_model(\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 616, in _create_model\n    self._model = self.AUTO_MODEL_CLASS.from_pretrained(\n                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/models/auto/auto_factory.py\", line 564, in from_pretrained\n    return model_class.from_pretrained(\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/modeling_utils.py\", line 3658, in from_pretrained\n    resolved_archive_file, sharded_metadata = get_checkpoint_shard_files(\n                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/hub.py\", line 1076, in get_checkpoint_shard_files\n    for shard_filename in tqdm(shard_filenames, desc=\"Downloading shards\", disable=not show_progress_bar):\n                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/logging.py\", line 361, in __call__\n    return tqdm_lib.tqdm(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/asyncio.py\", line 24, in __init__\n    super(tqdm_asyncio, self).__init__(iterable, *args, **kwargs)\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 1097, in __init__\n    self.sp = self.status_printer(self.fp)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 451, in status_printer\n    getattr(sys.stderr, 'flush', lambda: None)()\nOSError: [Errno 28] No space left on device\n"
 }

     "architectures": "LlamaForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
+    "status": "RERUN",
     "submitted_time": "2024-09-04T16:50:31Z",
     "model_type": "🤝 : base merges and moerges",
     "source": "leaderboard",
     "job_id": 1052,
+    "job_start_time": "2024-09-09T01-49-14.056504"
 }

anthracite-org/magnum-v2.5-12b-kto_eval_request_False_float16_Original.json CHANGED Viewed

@@ -8,12 +8,10 @@
     "architectures": "MistralForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
-    "status": "FAILED",
     "submitted_time": "2024-08-22T18:39:50Z",
     "model_type": "💬 : chat (RLHF, DPO, IFT, ...)",
     "source": "leaderboard",
     "job_id": 1060,
-    "job_start_time": "2024-09-09T02-13-17.352675",
-    "error_msg": "[Errno 28] No space left on device",
-    "traceback": "Traceback (most recent call last):\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 200, in wait_download_and_run_request\n    run_request(\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 71, 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 304, in __init__\n    self._create_model(\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 616, in _create_model\n    self._model = self.AUTO_MODEL_CLASS.from_pretrained(\n                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/models/auto/auto_factory.py\", line 564, in from_pretrained\n    return model_class.from_pretrained(\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/modeling_utils.py\", line 3658, in from_pretrained\n    resolved_archive_file, sharded_metadata = get_checkpoint_shard_files(\n                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/hub.py\", line 1076, in get_checkpoint_shard_files\n    for shard_filename in tqdm(shard_filenames, desc=\"Downloading shards\", disable=not show_progress_bar):\n                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/logging.py\", line 361, in __call__\n    return tqdm_lib.tqdm(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/asyncio.py\", line 24, in __init__\n    super(tqdm_asyncio, self).__init__(iterable, *args, **kwargs)\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 1097, in __init__\n    self.sp = self.status_printer(self.fp)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 451, in status_printer\n    getattr(sys.stderr, 'flush', lambda: None)()\nOSError: [Errno 28] No space left on device\n"
 }

     "architectures": "MistralForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
+    "status": "RERUN",
     "submitted_time": "2024-08-22T18:39:50Z",
     "model_type": "💬 : chat (RLHF, DPO, IFT, ...)",
     "source": "leaderboard",
     "job_id": 1060,
+    "job_start_time": "2024-09-09T02-13-17.352675"
 }

bunnycore/HyperLlama-3.1-8B_eval_request_False_bfloat16_Original.json CHANGED Viewed

@@ -8,12 +8,10 @@
     "architectures": "LlamaForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
-    "status": "FAILED",
     "submitted_time": "2024-09-05T20:28:57Z",
     "model_type": "🤝 : base merges and moerges",
     "source": "leaderboard",
     "job_id": 1057,
-    "job_start_time": "2024-09-09T02-04-13.523740",
-    "error_msg": "[Errno 28] No space left on device",
-    "traceback": "Traceback (most recent call last):\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 200, in wait_download_and_run_request\n    run_request(\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 71, 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 304, in __init__\n    self._create_model(\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 616, in _create_model\n    self._model = self.AUTO_MODEL_CLASS.from_pretrained(\n                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/models/auto/auto_factory.py\", line 564, in from_pretrained\n    return model_class.from_pretrained(\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/modeling_utils.py\", line 3658, in from_pretrained\n    resolved_archive_file, sharded_metadata = get_checkpoint_shard_files(\n                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/hub.py\", line 1076, in get_checkpoint_shard_files\n    for shard_filename in tqdm(shard_filenames, desc=\"Downloading shards\", disable=not show_progress_bar):\n                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/logging.py\", line 361, in __call__\n    return tqdm_lib.tqdm(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/asyncio.py\", line 24, in __init__\n    super(tqdm_asyncio, self).__init__(iterable, *args, **kwargs)\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 1097, in __init__\n    self.sp = self.status_printer(self.fp)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 451, in status_printer\n    getattr(sys.stderr, 'flush', lambda: None)()\nOSError: [Errno 28] No space left on device\n"
 }

     "architectures": "LlamaForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
+    "status": "RERUN",
     "submitted_time": "2024-09-05T20:28:57Z",
     "model_type": "🤝 : base merges and moerges",
     "source": "leaderboard",
     "job_id": 1057,
+    "job_start_time": "2024-09-09T02-04-13.523740"
 }

byroneverson/gemma-2-27b-it-abliterated_eval_request_False_bfloat16_Original.json CHANGED Viewed

@@ -8,12 +8,10 @@
     "architectures": "Gemma2ForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
-    "status": "FAILED",
     "submitted_time": "2024-09-05T20:20:45Z",
     "model_type": "🔶 : fine-tuned/fp on domain-specific datasets",
     "source": "leaderboard",
     "job_id": 1054,
-    "job_start_time": "2024-09-09T01-55-12.781709",
-    "error_msg": "[Errno 28] No space left on device",
-    "traceback": "Traceback (most recent call last):\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 200, in wait_download_and_run_request\n    run_request(\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 71, 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 304, in __init__\n    self._create_model(\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 616, in _create_model\n    self._model = self.AUTO_MODEL_CLASS.from_pretrained(\n                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/models/auto/auto_factory.py\", line 564, in from_pretrained\n    return model_class.from_pretrained(\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/modeling_utils.py\", line 3658, in from_pretrained\n    resolved_archive_file, sharded_metadata = get_checkpoint_shard_files(\n                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/hub.py\", line 1076, in get_checkpoint_shard_files\n    for shard_filename in tqdm(shard_filenames, desc=\"Downloading shards\", disable=not show_progress_bar):\n                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/logging.py\", line 361, in __call__\n    return tqdm_lib.tqdm(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/asyncio.py\", line 24, in __init__\n    super(tqdm_asyncio, self).__init__(iterable, *args, **kwargs)\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 1097, in __init__\n    self.sp = self.status_printer(self.fp)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 451, in status_printer\n    getattr(sys.stderr, 'flush', lambda: None)()\nOSError: [Errno 28] No space left on device\n"
 }

     "architectures": "Gemma2ForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
+    "status": "RERUN",
     "submitted_time": "2024-09-05T20:20:45Z",
     "model_type": "🔶 : fine-tuned/fp on domain-specific datasets",
     "source": "leaderboard",
     "job_id": 1054,
+    "job_start_time": "2024-09-09T01-55-12.781709"
 }

gaverfraxz/Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES_eval_request_False_float16_Original.json CHANGED Viewed

@@ -8,12 +8,10 @@
     "architectures": "LlamaForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
-    "status": "FAILED",
     "submitted_time": "2024-09-19T16:00:14Z",
     "model_type": "🤝 : base merges and moerges",
     "source": "leaderboard",
     "job_id": 1118,
-    "job_start_time": "2024-09-23T09-29-21.605427",
-    "error_msg": "[Errno 28] No space left on device",
-    "traceback": "Traceback (most recent call last):\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 200, in wait_download_and_run_request\n    run_request(\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 71, 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 304, in __init__\n    self._create_model(\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 616, in _create_model\n    self._model = self.AUTO_MODEL_CLASS.from_pretrained(\n                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/models/auto/auto_factory.py\", line 564, in from_pretrained\n    return model_class.from_pretrained(\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/modeling_utils.py\", line 3658, in from_pretrained\n    resolved_archive_file, sharded_metadata = get_checkpoint_shard_files(\n                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/hub.py\", line 1076, in get_checkpoint_shard_files\n    for shard_filename in tqdm(shard_filenames, desc=\"Downloading shards\", disable=not show_progress_bar):\n                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/logging.py\", line 361, in __call__\n    return tqdm_lib.tqdm(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/asyncio.py\", line 24, in __init__\n    super(tqdm_asyncio, self).__init__(iterable, *args, **kwargs)\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 1097, in __init__\n    self.sp = self.status_printer(self.fp)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 451, in status_printer\n    getattr(sys.stderr, 'flush', lambda: None)()\nOSError: [Errno 28] No space left on device\n"
 }

     "architectures": "LlamaForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
+    "status": "RERUN",
     "submitted_time": "2024-09-19T16:00:14Z",
     "model_type": "🤝 : base merges and moerges",
     "source": "leaderboard",
     "job_id": 1118,
+    "job_start_time": "2024-09-23T09-29-21.605427"
 }

jpacifico/Chocolatine-14B-Instruct-DPO-v1.2_eval_request_False_float16_Original.json CHANGED Viewed

@@ -8,12 +8,10 @@
     "architectures": "Phi3ForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
-    "status": "FAILED",
     "submitted_time": "2024-09-07T01:34:44Z",
     "model_type": "💬 : chat (RLHF, DPO, IFT, ...)",
     "source": "leaderboard",
     "job_id": 1059,
-    "job_start_time": "2024-09-09T02-10-17.527294",
-    "error_msg": "[Errno 28] No space left on device",
-    "traceback": "Traceback (most recent call last):\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 200, in wait_download_and_run_request\n    run_request(\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 71, 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 304, in __init__\n    self._create_model(\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 616, in _create_model\n    self._model = self.AUTO_MODEL_CLASS.from_pretrained(\n                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/models/auto/auto_factory.py\", line 559, in from_pretrained\n    return model_class.from_pretrained(\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/modeling_utils.py\", line 3658, in from_pretrained\n    resolved_archive_file, sharded_metadata = get_checkpoint_shard_files(\n                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/hub.py\", line 1076, in get_checkpoint_shard_files\n    for shard_filename in tqdm(shard_filenames, desc=\"Downloading shards\", disable=not show_progress_bar):\n                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/logging.py\", line 361, in __call__\n    return tqdm_lib.tqdm(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/asyncio.py\", line 24, in __init__\n    super(tqdm_asyncio, self).__init__(iterable, *args, **kwargs)\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 1097, in __init__\n    self.sp = self.status_printer(self.fp)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 451, in status_printer\n    getattr(sys.stderr, 'flush', lambda: None)()\nOSError: [Errno 28] No space left on device\n"
 }

     "architectures": "Phi3ForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
+    "status": "RERUN",
     "submitted_time": "2024-09-07T01:34:44Z",
     "model_type": "💬 : chat (RLHF, DPO, IFT, ...)",
     "source": "leaderboard",
     "job_id": 1059,
+    "job_start_time": "2024-09-09T02-10-17.527294"
 }

migtissera/Tess-3-Mistral-Nemo-12B_eval_request_False_bfloat16_Original.json CHANGED Viewed

@@ -8,12 +8,10 @@
     "architectures": "MistralForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
-    "status": "FAILED",
     "submitted_time": "2024-08-30T03:06:38Z",
     "model_type": "🔶 : fine-tuned/fp on domain-specific datasets",
     "source": "leaderboard",
     "job_id": 1049,
-    "job_start_time": "2024-09-09T01-40-19.519026",
-    "error_msg": "[Errno 28] No space left on device",
-    "traceback": "Traceback (most recent call last):\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 200, in wait_download_and_run_request\n    run_request(\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 71, 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 304, in __init__\n    self._create_model(\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 616, in _create_model\n    self._model = self.AUTO_MODEL_CLASS.from_pretrained(\n                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/models/auto/auto_factory.py\", line 564, in from_pretrained\n    return model_class.from_pretrained(\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/modeling_utils.py\", line 3658, in from_pretrained\n    resolved_archive_file, sharded_metadata = get_checkpoint_shard_files(\n                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/hub.py\", line 1076, in get_checkpoint_shard_files\n    for shard_filename in tqdm(shard_filenames, desc=\"Downloading shards\", disable=not show_progress_bar):\n                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/logging.py\", line 361, in __call__\n    return tqdm_lib.tqdm(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/asyncio.py\", line 24, in __init__\n    super(tqdm_asyncio, self).__init__(iterable, *args, **kwargs)\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 1097, in __init__\n    self.sp = self.status_printer(self.fp)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 451, in status_printer\n    getattr(sys.stderr, 'flush', lambda: None)()\nOSError: [Errno 28] No space left on device\n"
 }

     "architectures": "MistralForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
+    "status": "RERUN",
     "submitted_time": "2024-08-30T03:06:38Z",
     "model_type": "🔶 : fine-tuned/fp on domain-specific datasets",
     "source": "leaderboard",
     "job_id": 1049,
+    "job_start_time": "2024-09-09T01-40-19.519026"
 }

migtissera/Tess-v2.5-Gemma-2-27B-alpha_eval_request_False_bfloat16_Original.json CHANGED Viewed

@@ -8,12 +8,10 @@
     "architectures": "Gemma2ForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
-    "status": "FAILED",
     "submitted_time": "2024-09-05T20:23:26Z",
     "model_type": "🔶 : fine-tuned/fp on domain-specific datasets",
     "source": "leaderboard",
     "job_id": 1055,
-    "job_start_time": "2024-09-09T01-58-12.573627",
-    "error_msg": "[Errno 28] No space left on device",
-    "traceback": "Traceback (most recent call last):\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 200, in wait_download_and_run_request\n    run_request(\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 71, 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 304, in __init__\n    self._create_model(\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 616, in _create_model\n    self._model = self.AUTO_MODEL_CLASS.from_pretrained(\n                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/models/auto/auto_factory.py\", line 564, in from_pretrained\n    return model_class.from_pretrained(\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/modeling_utils.py\", line 3658, in from_pretrained\n    resolved_archive_file, sharded_metadata = get_checkpoint_shard_files(\n                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/hub.py\", line 1076, in get_checkpoint_shard_files\n    for shard_filename in tqdm(shard_filenames, desc=\"Downloading shards\", disable=not show_progress_bar):\n                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/logging.py\", line 361, in __call__\n    return tqdm_lib.tqdm(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/asyncio.py\", line 24, in __init__\n    super(tqdm_asyncio, self).__init__(iterable, *args, **kwargs)\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 1097, in __init__\n    self.sp = self.status_printer(self.fp)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 451, in status_printer\n    getattr(sys.stderr, 'flush', lambda: None)()\nOSError: [Errno 28] No space left on device\n"
 }

     "architectures": "Gemma2ForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
+    "status": "RERUN",
     "submitted_time": "2024-09-05T20:23:26Z",
     "model_type": "🔶 : fine-tuned/fp on domain-specific datasets",
     "source": "leaderboard",
     "job_id": 1055,
+    "job_start_time": "2024-09-09T01-58-12.573627"
 }

monsterapi/Llama-3_1-8B-Instruct-orca-ORPO_eval_request_False_bfloat16_Adapter.json CHANGED Viewed

@@ -8,12 +8,10 @@
     "architectures": "?",
     "weight_type": "Adapter",
     "main_language": "English",
-    "status": "FAILED",
     "submitted_time": "2024-08-30T04:21:37Z",
     "model_type": "💬 : chat (RLHF, DPO, IFT, ...)",
     "source": "leaderboard",
     "job_id": 1062,
-    "job_start_time": "2024-09-09T02-19-18.425282",
-    "error_msg": "[Errno 28] No space left on device",
-    "traceback": "Traceback (most recent call last):\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 200, in wait_download_and_run_request\n    run_request(\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 71, 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 304, in __init__\n    self._create_model(\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 616, in _create_model\n    self._model = self.AUTO_MODEL_CLASS.from_pretrained(\n                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/models/auto/auto_factory.py\", line 564, in from_pretrained\n    return model_class.from_pretrained(\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/modeling_utils.py\", line 3903, in from_pretrained\n    ) = cls._load_pretrained_model(\n        ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/modeling_utils.py\", line 4351, in _load_pretrained_model\n    resolved_archive_file = logging.tqdm(resolved_archive_file, desc=\"Loading checkpoint shards\")\n                            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/logging.py\", line 361, in __call__\n    return tqdm_lib.tqdm(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/asyncio.py\", line 24, in __init__\n    super(tqdm_asyncio, self).__init__(iterable, *args, **kwargs)\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 1097, in __init__\n    self.sp = self.status_printer(self.fp)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 451, in status_printer\n    getattr(sys.stderr, 'flush', lambda: None)()\nOSError: [Errno 28] No space left on device\n"
 }

     "architectures": "?",
     "weight_type": "Adapter",
     "main_language": "English",
+    "status": "RERUN",
     "submitted_time": "2024-08-30T04:21:37Z",
     "model_type": "💬 : chat (RLHF, DPO, IFT, ...)",
     "source": "leaderboard",
     "job_id": 1062,
+    "job_start_time": "2024-09-09T02-19-18.425282"
 }

nbeerbower/mistral-nemo-wissenschaft-12B_eval_request_False_bfloat16_Original.json CHANGED Viewed

@@ -8,12 +8,10 @@
     "architectures": "MistralForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
-    "status": "FAILED",
     "submitted_time": "2024-08-30T03:00:12Z",
     "model_type": "💬 : chat (RLHF, DPO, IFT, ...)",
     "source": "leaderboard",
     "job_id": 1048,
-    "job_start_time": "2024-09-09T01-37-18.215572",
-    "error_msg": "[Errno 28] No space left on device",
-    "traceback": "Traceback (most recent call last):\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 200, in wait_download_and_run_request\n    run_request(\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 71, 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 304, in __init__\n    self._create_model(\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 616, in _create_model\n    self._model = self.AUTO_MODEL_CLASS.from_pretrained(\n                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/models/auto/auto_factory.py\", line 564, in from_pretrained\n    return model_class.from_pretrained(\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/modeling_utils.py\", line 3658, in from_pretrained\n    resolved_archive_file, sharded_metadata = get_checkpoint_shard_files(\n                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/hub.py\", line 1076, in get_checkpoint_shard_files\n    for shard_filename in tqdm(shard_filenames, desc=\"Downloading shards\", disable=not show_progress_bar):\n                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/logging.py\", line 361, in __call__\n    return tqdm_lib.tqdm(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/asyncio.py\", line 24, in __init__\n    super(tqdm_asyncio, self).__init__(iterable, *args, **kwargs)\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 1097, in __init__\n    self.sp = self.status_printer(self.fp)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 451, in status_printer\n    getattr(sys.stderr, 'flush', lambda: None)()\nOSError: [Errno 28] No space left on device\n"
 }

     "architectures": "MistralForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
+    "status": "RERUN",
     "submitted_time": "2024-08-30T03:00:12Z",
     "model_type": "💬 : chat (RLHF, DPO, IFT, ...)",
     "source": "leaderboard",
     "job_id": 1048,
+    "job_start_time": "2024-09-09T01-37-18.215572"
 }

princeton-nlp/gemma-2-9b-it-DPO_eval_request_False_bfloat16_Original.json CHANGED Viewed

@@ -8,12 +8,10 @@
     "architectures": "Gemma2ForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
-    "status": "FAILED",
     "submitted_time": "2024-09-19T15:24:11Z",
     "model_type": "💬 : chat (RLHF, DPO, IFT, ...)",
     "source": "leaderboard",
     "job_id": 1114,
-    "job_start_time": "2024-09-23T09-14-45.604278",
-    "error_msg": "[Errno 28] No space left on device",
-    "traceback": "Traceback (most recent call last):\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 200, in wait_download_and_run_request\n    run_request(\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 71, 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 304, in __init__\n    self._create_model(\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 616, in _create_model\n    self._model = self.AUTO_MODEL_CLASS.from_pretrained(\n                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/models/auto/auto_factory.py\", line 564, in from_pretrained\n    return model_class.from_pretrained(\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/modeling_utils.py\", line 3658, in from_pretrained\n    resolved_archive_file, sharded_metadata = get_checkpoint_shard_files(\n                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/hub.py\", line 1076, in get_checkpoint_shard_files\n    for shard_filename in tqdm(shard_filenames, desc=\"Downloading shards\", disable=not show_progress_bar):\n                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/logging.py\", line 361, in __call__\n    return tqdm_lib.tqdm(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/asyncio.py\", line 24, in __init__\n    super(tqdm_asyncio, self).__init__(iterable, *args, **kwargs)\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 1097, in __init__\n    self.sp = self.status_printer(self.fp)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 451, in status_printer\n    getattr(sys.stderr, 'flush', lambda: None)()\nOSError: [Errno 28] No space left on device\n"
 }

     "architectures": "Gemma2ForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
+    "status": "RERUN",
     "submitted_time": "2024-09-19T15:24:11Z",
     "model_type": "💬 : chat (RLHF, DPO, IFT, ...)",
     "source": "leaderboard",
     "job_id": 1114,
+    "job_start_time": "2024-09-23T09-14-45.604278"
 }

recoilme/recoilme-gemma-2-9B-v0.3_eval_request_False_bfloat16_Original.json CHANGED Viewed

@@ -8,12 +8,10 @@
     "architectures": "Gemma2ForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
-    "status": "FAILED",
     "submitted_time": "2024-09-19T15:29:39Z",
     "model_type": "🔶 : fine-tuned/fp on domain-specific datasets",
     "source": "leaderboard",
     "job_id": 1116,
-    "job_start_time": "2024-09-23T09-22-04.155178",
-    "error_msg": "[Errno 28] No space left on device",
-    "traceback": "Traceback (most recent call last):\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 200, in wait_download_and_run_request\n    run_request(\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 71, 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 304, in __init__\n    self._create_model(\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 616, in _create_model\n    self._model = self.AUTO_MODEL_CLASS.from_pretrained(\n                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/models/auto/auto_factory.py\", line 564, in from_pretrained\n    return model_class.from_pretrained(\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/modeling_utils.py\", line 3658, in from_pretrained\n    resolved_archive_file, sharded_metadata = get_checkpoint_shard_files(\n                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/hub.py\", line 1076, in get_checkpoint_shard_files\n    for shard_filename in tqdm(shard_filenames, desc=\"Downloading shards\", disable=not show_progress_bar):\n                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/logging.py\", line 361, in __call__\n    return tqdm_lib.tqdm(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/asyncio.py\", line 24, in __init__\n    super(tqdm_asyncio, self).__init__(iterable, *args, **kwargs)\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 1097, in __init__\n    self.sp = self.status_printer(self.fp)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 451, in status_printer\n    getattr(sys.stderr, 'flush', lambda: None)()\nOSError: [Errno 28] No space left on device\n"
 }

     "architectures": "Gemma2ForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
+    "status": "RERUN",
     "submitted_time": "2024-09-19T15:29:39Z",
     "model_type": "🔶 : fine-tuned/fp on domain-specific datasets",
     "source": "leaderboard",
     "job_id": 1116,
+    "job_start_time": "2024-09-23T09-22-04.155178"
 }

recoilme/recoilme-gemma-2-9B-v0.4_eval_request_False_bfloat16_Original.json CHANGED Viewed

@@ -8,12 +8,10 @@
     "architectures": "Gemma2ForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
-    "status": "FAILED",
     "submitted_time": "2024-09-19T15:29:45Z",
     "model_type": "🔶 : fine-tuned/fp on domain-specific datasets",
     "source": "leaderboard",
     "job_id": 1117,
-    "job_start_time": "2024-09-23T09-25-45.091565",
-    "error_msg": "[Errno 28] No space left on device",
-    "traceback": "Traceback (most recent call last):\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 200, in wait_download_and_run_request\n    run_request(\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 71, 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 304, in __init__\n    self._create_model(\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 616, in _create_model\n    self._model = self.AUTO_MODEL_CLASS.from_pretrained(\n                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/models/auto/auto_factory.py\", line 564, in from_pretrained\n    return model_class.from_pretrained(\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/modeling_utils.py\", line 3658, in from_pretrained\n    resolved_archive_file, sharded_metadata = get_checkpoint_shard_files(\n                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/hub.py\", line 1076, in get_checkpoint_shard_files\n    for shard_filename in tqdm(shard_filenames, desc=\"Downloading shards\", disable=not show_progress_bar):\n                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/logging.py\", line 361, in __call__\n    return tqdm_lib.tqdm(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/asyncio.py\", line 24, in __init__\n    super(tqdm_asyncio, self).__init__(iterable, *args, **kwargs)\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 1097, in __init__\n    self.sp = self.status_printer(self.fp)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 451, in status_printer\n    getattr(sys.stderr, 'flush', lambda: None)()\nOSError: [Errno 28] No space left on device\n"
 }

     "architectures": "Gemma2ForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
+    "status": "RERUN",
     "submitted_time": "2024-09-19T15:29:45Z",
     "model_type": "🔶 : fine-tuned/fp on domain-specific datasets",
     "source": "leaderboard",
     "job_id": 1117,
+    "job_start_time": "2024-09-23T09-25-45.091565"
 }

v000000/Qwen2.5-Lumen-14B_eval_request_False_bfloat16_Original.json CHANGED Viewed

@@ -8,12 +8,10 @@
     "architectures": "Qwen2ForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
-    "status": "FAILED",
     "submitted_time": "2024-09-20T18:11:48Z",
     "model_type": "💬 : chat (RLHF, DPO, IFT, ...)",
     "source": "leaderboard",
     "job_id": 1122,
-    "job_start_time": "2024-09-23T09-43-32.674090",
-    "error_msg": "[Errno 28] No space left on device",
-    "traceback": "Traceback (most recent call last):\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 200, in wait_download_and_run_request\n    run_request(\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 71, 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 304, in __init__\n    self._create_model(\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 616, in _create_model\n    self._model = self.AUTO_MODEL_CLASS.from_pretrained(\n                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/models/auto/auto_factory.py\", line 564, in from_pretrained\n    return model_class.from_pretrained(\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/modeling_utils.py\", line 3658, in from_pretrained\n    resolved_archive_file, sharded_metadata = get_checkpoint_shard_files(\n                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/hub.py\", line 1076, in get_checkpoint_shard_files\n    for shard_filename in tqdm(shard_filenames, desc=\"Downloading shards\", disable=not show_progress_bar):\n                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/logging.py\", line 361, in __call__\n    return tqdm_lib.tqdm(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/asyncio.py\", line 24, in __init__\n    super(tqdm_asyncio, self).__init__(iterable, *args, **kwargs)\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 1097, in __init__\n    self.sp = self.status_printer(self.fp)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/tqdm/std.py\", line 451, in status_printer\n    getattr(sys.stderr, 'flush', lambda: None)()\nOSError: [Errno 28] No space left on device\n"
 }

     "architectures": "Qwen2ForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
+    "status": "RERUN",
     "submitted_time": "2024-09-20T18:11:48Z",
     "model_type": "💬 : chat (RLHF, DPO, IFT, ...)",
     "source": "leaderboard",
     "job_id": 1122,
+    "job_start_time": "2024-09-23T09-43-32.674090"
 }