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{
"model": "EleutherAI/pythia-1b-deduped",
"base_model": "",
"revision": "main",
"private": false,
"precision": "float16",
"params": 1.079,
"architectures": "GPTNeoXForCausalLM",
"weight_type": "Original",
"status": "FAILED",
"submitted_time": "2024-02-05T23:11:36Z",
"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"
} |