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Update status of EleutherAI/gpt-neo-125m_eval_request_False_float16_Original to FAILED
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{ | |
"model": "EleutherAI/gpt-neo-125m", | |
"base_model": "", | |
"revision": "main", | |
"private": false, | |
"precision": "float16", | |
"params": 0.15, | |
"architectures": "GPTNeoForCausalLM", | |
"weight_type": "Original", | |
"status": "FAILED", | |
"submitted_time": "2024-02-05T23:11:59Z", | |
"model_type": "🟢 : pretrained", | |
"source": "script", | |
"job_id": -1, | |
"job_start_time": null, | |
"error_msg": "Failed to download and/or use the AutoModel class, trust_remote_code=True - Original Exception: CUDA error: an illegal memory access was encountered\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1.\nCompile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.\n", | |
"traceback": "Traceback (most recent call last):\n File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 186, in wait_download_and_run_request\n raise Exception(f\"Failed to download and/or use the AutoModel class, trust_remote_code={TRUST_REMOTE_CODE} - Original Exception: {exception_msg}\")\nException: Failed to download and/or use the AutoModel class, trust_remote_code=True - Original Exception: CUDA error: an illegal memory access was encountered\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1.\nCompile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.\n\n" | |
} |