{
  "python": "3.13.13",
  "platform": "Linux-6.17.0-1012-aws-x86_64-with-glibc2.39",
  "torch": "2.10.0+cu130",
  "cuda_available": true,
  "cuda_device_count": 1,
  "cuda_device_name": "NVIDIA A10G",
  "transformers": "5.5.0",
  "datasets": "4.3.0",
  "trl": "0.24.0",
  "peft": "0.19.1",
  "unsloth": "2026.5.2",
  "nvidia_smi": "Sat May  9 14:51:08 2026       \n+-----------------------------------------------------------------------------------------+\n| NVIDIA-SMI 580.126.16             Driver Version: 580.126.16     CUDA Version: 13.0     |\n+-----------------------------------------+------------------------+----------------------+\n| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |\n| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |\n|                                         |                        |               MIG M. |\n|=========================================+========================+======================|\n|   0  NVIDIA A10G                    On  |   00000000:00:1E.0 Off |                    0 |\n|  0%   29C    P8             17W /  300W |       3MiB /  23028MiB |      0%      Default |\n|                                         |                        |                  N/A |\n+-----------------------------------------+------------------------+----------------------+\n\n+-----------------------------------------------------------------------------------------+\n| Processes:                                                                              |\n|  GPU   GI   CI              PID   Type   Process name                        GPU Memory |\n|        ID   ID                                                               Usage      |\n|=========================================================================================|\n|  No running processes found                                                             |\n+-----------------------------------------------------------------------------------------+"
}