EleutherAI/pythia-1b-deduped_eval_request_False_float16_Original.json

{
    "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"
}