Update status of EleutherAI/pythia-410m-deduped_eval_request_False_float16_Original to FAILED

EleutherAI/pythia-410m-deduped_eval_request_False_float16_Original.json

@@ -1 +1,18 @@
-{"model": "EleutherAI/pythia-410m-deduped", "base_model": "", "revision": "main", "private": false, "precision": "float16", "params": 0.506, "architectures": "GPTNeoXForCausalLM", "weight_type": "Original", "status": "PENDING", "submitted_time": "2024-02-05T23:11:30Z", "model_type": "\ud83d\udfe2 : pretrained", "source": "script", "job_id": -1, "job_start_time": null}
+{
+    "model": "EleutherAI/pythia-410m-deduped",
+    "base_model": "",
+    "revision": "main",
+    "private": false,
+    "precision": "float16",
+    "params": 0.506,
+    "architectures": "GPTNeoXForCausalLM",
+    "weight_type": "Original",
+    "status": "FAILED",
+    "submitted_time": "2024-02-05T23:11:30Z",
+    "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"
+}