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/mnt/petrelfs/wangweiyun/miniconda3/envs/internvl_eval2/lib/python3.10/site-packages/bitsandbytes/cextension.py:34: UserWarning: The installed version of bitsandbytes was compiled without GPU support. 8-bit optimizers, 8-bit multiplication, and GPU quantization are unavailable.
warn("The installed version of bitsandbytes was compiled without GPU support. "
/mnt/petrelfs/wangweiyun/miniconda3/envs/internvl_eval2/lib/python3.10/site-packages/bitsandbytes/libbitsandbytes_cpu.so: undefined symbol: cadam32bit_grad_fp32
model path is /mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/
12/05 03:12:05 - OpenCompass - WARNING - No previous results to reuse!
12/05 03:12:05 - OpenCompass - INFO - Reusing experiements from 20241205_031205
12/05 03:12:05 - OpenCompass - INFO - Current exp folder: /mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/20241205_031205
12/05 03:12:09 - OpenCompass - INFO - Partitioned into 256 tasks.
[ ] 0/256, elapsed: 0s, ETA:use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=28898 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61736_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=13974 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61745_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=23895 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61741_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=23397 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61732_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=26460 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61734_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=29300 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61743_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=28515 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61729_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=15592 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61727_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=31987 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61709_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=28267 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61730_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=14705 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61715_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=19544 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61728_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=19219 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61707_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=15202 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61738_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17846 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61739_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=28064 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61489_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
commandcommand torchrun --master_port=18516 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61479_params.pytorchrun --master_port=17120 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61714_params.py
command torchrun --master_port=13177 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61486_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=19363 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61459_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22050 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61462_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=18484 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61468_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=18175 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61496_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17936 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61742_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=26207 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61474_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=16246 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61744_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=23833 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61708_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=29874 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61491_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17808 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61731_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=18926 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61495_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=18853 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61446_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30638 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61447_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30944 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61671_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=20476 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61497_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=23623 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61238_params.py
use_backenduse_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17105 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61681_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30007 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61664_params.py
False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=31226 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61455_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=31610 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61490_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=21005 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61711_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=21719 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61718_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=20883 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61244_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=18678 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61661_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=29693 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61712_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=24996 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61657_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17745 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61678_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=15237 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61677_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=19673 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61698_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22391 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61656_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=18334 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61623_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=26543 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61746_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=23493 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61236_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12254 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61735_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=20664 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61654_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=23138 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61616_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30625 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61627_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=28676 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61643_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22903 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61713_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=29872 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61680_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=21410 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61663_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=29298 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61243_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22812 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61667_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=18038 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61737_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=14937 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61706_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=24286 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61660_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=18431 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61665_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22560 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61702_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=13116 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61669_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=15790 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61703_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12051 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61659_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17684 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61682_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=31432 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61619_params.py
command torchrun --master_port=27634 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61539_params.py
command torchrun --master_port=14953 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61615_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30299 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61631_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=20142 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61675_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=31068 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61537_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12072 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61621_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=31398 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61653_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=31910 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61543_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=19582 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61634_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12260 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61672_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=20692 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61622_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=21883 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61733_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=14392 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61710_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22906 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61674_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=23028 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61676_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=27286 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61644_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=23295 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61642_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=18810 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61699_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=28796 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61670_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}command
torchrun --master_port=29389 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61630_params.py
command torchrun --master_port=24171 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61632_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=31117 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61655_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12257 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61668_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=20939 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61700_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}use_backend
False use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
use_backenduse_backend False False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
commandcommandcommand torchrun --master_port=20246 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61666_params.py torchrun --master_port=28833 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61538_params.py
torchrun --master_port=19074 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61705_params.py
commandcommand command torchrun --master_port=20927 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61704_params.py torchrun --master_port=29770 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61637_params.pytorchrun --master_port=19211 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61499_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=16212 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61635_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=15578 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61633_params.py
use_backend False use_backend {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}False
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22986 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61535_params.py
command torchrun --master_port=21802 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61526_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=16569 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61541_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=24929 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61647_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=26125 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61533_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=14589 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61612_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30595 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61488_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=27107 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61536_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=18904 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61608_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
use_backendcommand torchrun --master_port=27067 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61613_params.py
False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=24349 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61502_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=18647 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61624_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=15091 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61508_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=23905 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61697_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=25995 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61673_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17722 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61513_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=15129 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61617_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12063 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61701_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17903 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61517_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30652 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61485_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=25797 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61636_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
use_backendcommand torchrun --master_port=20437 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61463_params.py
False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=21118 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61662_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=13753 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61516_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=26202 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61626_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30597 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61528_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22287 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61506_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=27109 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61481_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=27673 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61527_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=27995 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61540_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=19175 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61638_params.py
use_backenduse_backend False False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}command torchrun --master_port=16940 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61641_params.py
command
torchrun --master_port=24665 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61509_params.py
command torchrun --master_port=17789 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61477_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=18840 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61453_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=26681 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61629_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=14843 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61449_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=13329 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61510_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=23933 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61628_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
use_backend False command torchrun --master_port=16069 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61469_params.py
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=14111 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61639_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=26093 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61525_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=15292 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61523_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=26907 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61465_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=19140 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61640_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=27303 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61611_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=25314 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61524_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17627 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61512_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=15364 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61646_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17393 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61504_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=25295 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61501_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=31326 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61620_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=23101 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61237_params.py
use_backend False use_backend False use_backend False use_backend False use_backend False use_backend False use_backend False use_backend False use_backend False use_backend False use_backend False use_backend False use_backenduse_backend use_backenduse_backendFalseFalse {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
FalseFalse{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command command {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
torchrun --master_port=24107 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61203_params.py
command
torchrun --master_port=21988 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61192_params.py
command use_backenduse_backend torchrun --master_port=17160 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61220_params.py torchrun --master_port=23367 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61225_params.py
False
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command use_backenduse_backendtorchrun --master_port=24782 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61205_params.py
FalseFalse False{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'} {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
use_backenduse_backend False
command Falsecommand command torchrun --master_port=22138 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61440_params.py{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}torchrun --master_port=13387 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61614_params.py
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
torchrun --master_port=18899 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61206_params.py
commandcommand torchrun --master_port=22793 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61498_params.pytorchrun --master_port=13334 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61460_params.py
use_backenduse_backend FalseFalse {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
commandcommand torchrun --master_port=31859 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61445_params.pytorchrun --master_port=25871 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61618_params.py
use_backenduse_backend FalseFalse {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
commandcommand torchrun --master_port=12150 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61241_params.pytorchrun --master_port=17066 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61216_params.py
use_backenduse_backend{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}use_backenduse_backenduse_backenduse_backend
False FalseFalseFalse FalseFalse command {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'} {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
torchrun --master_port=21004 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61461_params.pycommandcommand
command commandcommandtorchrun --master_port=31715 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61240_params.pytorchrun --master_port=16309 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61199_params.py
torchrun --master_port=24709 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61228_params.py
torchrun --master_port=19968 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61507_params.pytorchrun --master_port=23031 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61208_params.pycommand
torchrun --master_port=20362 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61505_params.py
use_backenduse_backenduse_backenduse_backenduse_backenduse_backenduse_backend{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}use_backenduse_backenduse_backenduse_backend{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}use_backenduse_backend{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}use_backend {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
use_backend
use_backenduse_backenduse_backend
FalseFalseFalseFalseFalseFalseFalse FalseFalseFalse False False False
command
command command False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}False
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'} False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}torchrun --master_port=20953 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61514_params.py
torchrun --master_port=26650 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61493_params.py{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}command
command
command
command commandcommand commandcommand commandcommand Falsecommand {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}use_backenduse_backenduse_backenduse_backend{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}use_backenduse_backenduse_backenduse_backenduse_backend
use_backenduse_backenduse_backenduse_backend False
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'} use_backend torchrun --master_port=30850 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61515_params.pyuse_backenduse_backenduse_backend use_backenduse_backendFalseuse_backend use_backenduse_backendtorchrun --master_port=30874 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61482_params.pyuse_backenduse_backendtorchrun --master_port=31010 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61204_params.pytorchrun --master_port=15699 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61214_params.py torchrun --master_port=17567 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61494_params.pyuse_backendFalse
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}FalseFalseFalse
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}FalseFalse
False use_backend
commandcommand
use_backend
False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}torchrun --master_port=23251 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61235_params.py{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}use_backenduse_backenduse_backendtorchrun --master_port=24168 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61425_params.py use_backendtorchrun --master_port=14821 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61500_params.py use_backend{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
use_backendFalsecommand command FalseFalseFalseFalse False FalseFalse
False
False
False command
False False{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'} {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'} torchrun --master_port=23210 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61480_params.pytorchrun --master_port=17671 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61224_params.py
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'} {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}False{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}False False False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'} torchrun --master_port=17076 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61542_params.pytorchrun --master_port=16661 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61444_params.pyFalsecommandcommandcommand
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}command
torchrun --master_port=16851 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61609_params.py{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
torchrun --master_port=28556 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61511_params.py{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command
torchrun --master_port=17254 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61450_params.py
commandcommand
command
command
command commandcommand
command command commandcommandcommand commandcommand
use_backendcommandtorchrun --master_port=26257 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61679_params.pytorchrun --master_port=27273 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61451_params.py{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}command
use_backend
torchrun --master_port=12936 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61483_params.py use_backend
False command
Falsetorchrun --master_port=27145 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61464_params.py {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
torchrun --master_port=23331 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61487_params.py
False
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}False
torchrun --master_port=19421 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61478_params.py
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
commandcommand {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
commandcommandtorchrun --master_port=25494 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61217_params.py
torchrun --master_port=27635 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61196_params.pycommandtorchrun --master_port=15703 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61226_params.py torchrun --master_port=24106 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61458_params.py
commandcommand
torchrun --master_port=27043 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61212_params.pytorchrun --master_port=14260 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61222_params.py Falsetorchrun --master_port=23113 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61522_params.py
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=25247 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61607_params.py use_backenduse_backenduse_backendtorchrun --master_port=13601 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61443_params.pytorchrun --master_port=13957 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61213_params.pycommand use_backendcommanduse_backend{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}use_backendtorchrun --master_port=22847 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61215_params.py
use_backend{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'} False False
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'} torchrun --master_port=28382 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61231_params.pycommandtorchrun --master_port=23801 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61476_params.pytorchrun --master_port=27792 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61503_params.pytorchrun --master_port=22916 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61610_params.py Falseuse_backend{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}torchrun --master_port=24298 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61441_params.pyFalsetorchrun --master_port=25598 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61197_params.pyuse_backendtorchrun --master_port=21263 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61467_params.py{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}False
False
torchrun --master_port=31268 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61221_params.pyFalse Falsetorchrun --master_port=30663 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61457_params.py
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
Falsetorchrun --master_port=17986 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61239_params.pyuse_backendtorchrun --master_port=17901 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61202_params.pycommandtorchrun --master_port=31709 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61209_params.py {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}torchrun --master_port=20434 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61232_params.pytorchrun --master_port=25988 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61193_params.pytorchrun --master_port=16682 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61473_params.pytorchrun --master_port=20556 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61470_params.pytorchrun --master_port=21286 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61234_params.py
use_backendcommand
FalseFalse
torchrun --master_port=22307 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61484_params.py
command
Falsecommand
torchrun --master_port=13288 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61210_params.pycommand{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}command torchrun --master_port=17857 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61518_params.py {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
torchrun --master_port=12379 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61219_params.py{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'} torchrun --master_port=17714 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61201_params.py
torchrun --master_port=25328 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61230_params.py{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}command
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command
torchrun --master_port=13233 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61454_params.pytorchrun --master_port=18079 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61245_params.py
commandcommand use_backend torchrun --master_port=14962 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61472_params.pytorchrun --master_port=22401 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61471_params.py
command
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
torchrun --master_port=22509 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61194_params.pycommand{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'} commandFalse
commandtorchrun --master_port=24380 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61492_params.pycommandcommand
command torchrun --master_port=27261 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61223_params.py
commandtorchrun --master_port=22679 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61218_params.py Falsetorchrun --master_port=29759 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61207_params.pytorchrun --master_port=21903 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61211_params.py{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}torchrun --master_port=12484 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61452_params.py {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
commandcommand
torchrun --master_port=29702 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61233_params.py
torchrun --master_port=15309 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61442_params.py
torchrun --master_port=15713 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61466_params.py
torchrun --master_port=16087 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61190_params.py
command torchrun --master_port=23838 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61242_params.py
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12846 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61195_params.py
command torchrun --master_port=15689 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61191_params.py
command use_backendtorchrun --master_port=27365 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61625_params.py
False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12436 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61448_params.py
False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=20686 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/61227_params.py
[ ] 1/256, 0.0 task/s, elapsed: 558s, ETA: 142355s
[ ] 2/256, 0.0 task/s, elapsed: 583s, ETA: 74091s
[ ] 3/256, 0.0 task/s, elapsed: 585s, ETA: 49368s
[ ] 4/256, 0.0 task/s, elapsed: 598s, ETA: 37697s
[ ] 5/256, 0.0 task/s, elapsed: 631s, ETA: 31694s
[ ] 6/256, 0.0 task/s, elapsed: 641s, ETA: 26723s
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[>>>>>>>>>>>>>>>>>>>>> ] 191/256, 0.2 task/s, elapsed: 927s, ETA: 316s
[>>>>>>>>>>>>>>>>>>>>> ] 192/256, 0.2 task/s, elapsed: 928s, ETA: 309s
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[>>>>>>>>>>>>>>>>>>>>>> ] 197/256, 0.2 task/s, elapsed: 936s, ETA: 280s
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[>>>>>>>>>>>>>>>>>>>>>>>> ] 220/256, 0.2 task/s, elapsed: 971s, ETA: 159s
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[>>>>>>>>>>>>>>>>>>>>>>>>> ] 228/256, 0.2 task/s, elapsed: 988s, ETA: 121s
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[>>>>>>>>>>>>>>>>>>>>>>>>> ] 235/256, 0.2 task/s, elapsed: 1001s, ETA: 89s
[>>>>>>>>>>>>>>>>>>>>>>>>> ] 236/256, 0.2 task/s, elapsed: 1004s, ETA: 85s
[>>>>>>>>>>>>>>>>>>>>>>>>> ] 237/256, 0.2 task/s, elapsed: 1006s, ETA: 81s
[>>>>>>>>>>>>>>>>>>>>>>>>>> ] 238/256, 0.2 task/s, elapsed: 1010s, ETA: 76s
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[>>>>>>>>>>>>>>>>>>>>>>>>>> ] 245/256, 0.2 task/s, elapsed: 1022s, ETA: 46s
[>>>>>>>>>>>>>>>>>>>>>>>>>> ] 246/256, 0.2 task/s, elapsed: 1024s, ETA: 42s
[>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 247/256, 0.2 task/s, elapsed: 1028s, ETA: 37s
[>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 248/256, 0.2 task/s, elapsed: 1036s, ETA: 33s
[>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 249/256, 0.2 task/s, elapsed: 1037s, ETA: 29s
[>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 250/256, 0.2 task/s, elapsed: 1037s, ETA: 25s
[>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 251/256, 0.2 task/s, elapsed: 1051s, ETA: 21s
[>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 252/256, 0.2 task/s, elapsed: 1056s, ETA: 17s
[>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 253/256, 0.2 task/s, elapsed: 1057s, ETA: 13s
[>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 254/256, 0.2 task/s, elapsed: 1077s, ETA: 8s
[>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 255/256, 0.2 task/s, elapsed: 1091s, ETA: 4s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 256/256, 0.2 task/s, elapsed: 1105s, ETA: 0s
12/05 03:30:44 - OpenCompass - INFO - Partitioned into 287 tasks.
[ ] 0/287, elapsed: 0s, ETA:
[ ] 1/287, 0.0 task/s, elapsed: 22s, ETA: 6365s
[ ] 2/287, 0.1 task/s, elapsed: 22s, ETA: 3189s
[ ] 3/287, 0.1 task/s, elapsed: 22s, ETA: 2122s
[ ] 4/287, 0.2 task/s, elapsed: 23s, ETA: 1622s
[ ] 5/287, 0.2 task/s, elapsed: 23s, ETA: 1298s
[ ] 6/287, 0.3 task/s, elapsed: 23s, ETA: 1080s
[ ] 7/287, 0.3 task/s, elapsed: 23s, ETA: 931s
[ ] 8/287, 0.3 task/s, elapsed: 23s, ETA: 812s
[> ] 9/287, 0.4 task/s, elapsed: 23s, ETA: 722s
[> ] 10/287, 0.4 task/s, elapsed: 24s, ETA: 658s
[> ] 11/287, 0.5 task/s, elapsed: 24s, ETA: 596s
[> ] 12/287, 0.5 task/s, elapsed: 24s, ETA: 558s
[> ] 13/287, 0.5 task/s, elapsed: 24s, ETA: 513s
[> ] 14/287, 0.6 task/s, elapsed: 24s, ETA: 476s
[> ] 15/287, 0.6 task/s, elapsed: 24s, ETA: 444s
[> ] 16/287, 0.7 task/s, elapsed: 24s, ETA: 414s
[> ] 17/287, 0.7 task/s, elapsed: 25s, ETA: 389s
[> ] 18/287, 0.7 task/s, elapsed: 25s, ETA: 368s
[>> ] 19/287, 0.7 task/s, elapsed: 25s, ETA: 359s
[>> ] 20/287, 0.8 task/s, elapsed: 26s, ETA: 341s
[>> ] 21/287, 0.8 task/s, elapsed: 26s, ETA: 323s
[>> ] 22/287, 0.9 task/s, elapsed: 26s, ETA: 308s
[>> ] 23/287, 0.9 task/s, elapsed: 26s, ETA: 293s
[>> ] 24/287, 0.9 task/s, elapsed: 26s, ETA: 280s
[>> ] 25/287, 0.8 task/s, elapsed: 33s, ETA: 349s
[>> ] 26/287, 0.8 task/s, elapsed: 33s, ETA: 335s
[>> ] 27/287, 0.8 task/s, elapsed: 33s, ETA: 322s
[>>> ] 28/287, 0.8 task/s, elapsed: 33s, ETA: 310s
[>>> ] 29/287, 0.9 task/s, elapsed: 34s, ETA: 298s
[>>> ] 30/287, 0.9 task/s, elapsed: 34s, ETA: 287s
[>>> ] 31/287, 0.9 task/s, elapsed: 34s, ETA: 277s
[>>> ] 32/287, 0.9 task/s, elapsed: 34s, ETA: 269s
[>>> ] 33/287, 1.0 task/s, elapsed: 34s, ETA: 260s
[>>> ] 34/287, 1.0 task/s, elapsed: 34s, ETA: 252s
[>>> ] 35/287, 1.0 task/s, elapsed: 34s, ETA: 244s
[>>> ] 36/287, 1.1 task/s, elapsed: 34s, ETA: 236s
[>>> ] 37/287, 1.1 task/s, elapsed: 34s, ETA: 230s
[>>>> ] 38/287, 1.1 task/s, elapsed: 34s, ETA: 223s
[>>>> ] 39/287, 1.1 task/s, elapsed: 34s, ETA: 217s
[>>>> ] 40/287, 1.2 task/s, elapsed: 34s, ETA: 210s
[>>>> ] 41/287, 1.2 task/s, elapsed: 34s, ETA: 204s
[>>>> ] 42/287, 1.2 task/s, elapsed: 34s, ETA: 199s
[>>>> ] 43/287, 1.3 task/s, elapsed: 34s, ETA: 193s
[>>>> ] 44/287, 1.3 task/s, elapsed: 34s, ETA: 188s
[>>>> ] 45/287, 1.3 task/s, elapsed: 34s, ETA: 183s
[>>>> ] 46/287, 1.3 task/s, elapsed: 34s, ETA: 179s
[>>>>> ] 47/287, 1.4 task/s, elapsed: 34s, ETA: 174s
[>>>>> ] 48/287, 1.4 task/s, elapsed: 34s, ETA: 170s
[>>>>> ] 49/287, 1.4 task/s, elapsed: 34s, ETA: 166s
[>>>>> ] 50/287, 1.5 task/s, elapsed: 34s, ETA: 162s
[>>>>> ] 51/287, 1.5 task/s, elapsed: 34s, ETA: 158s
[>>>>> ] 52/287, 1.5 task/s, elapsed: 34s, ETA: 154s
[>>>>> ] 53/287, 1.6 task/s, elapsed: 34s, ETA: 151s
[>>>>> ] 54/287, 1.6 task/s, elapsed: 34s, ETA: 147s
[>>>>> ] 55/287, 1.6 task/s, elapsed: 34s, ETA: 144s
[>>>>>> ] 56/287, 1.6 task/s, elapsed: 34s, ETA: 141s
[>>>>>> ] 57/287, 1.7 task/s, elapsed: 34s, ETA: 138s
[>>>>>> ] 58/287, 1.7 task/s, elapsed: 34s, ETA: 135s
[>>>>>> ] 59/287, 1.7 task/s, elapsed: 34s, ETA: 132s
[>>>>>> ] 60/287, 1.8 task/s, elapsed: 34s, ETA: 129s
[>>>>>> ] 61/287, 1.8 task/s, elapsed: 34s, ETA: 127s
[>>>>>> ] 62/287, 1.8 task/s, elapsed: 34s, ETA: 124s
[>>>>>> ] 63/287, 1.8 task/s, elapsed: 34s, ETA: 122s
[>>>>>> ] 64/287, 1.9 task/s, elapsed: 34s, ETA: 119s
[>>>>>>> ] 65/287, 1.9 task/s, elapsed: 34s, ETA: 117s
[>>>>>>> ] 66/287, 1.9 task/s, elapsed: 34s, ETA: 115s
[>>>>>>> ] 67/287, 1.9 task/s, elapsed: 34s, ETA: 113s
[>>>>>>> ] 68/287, 2.0 task/s, elapsed: 34s, ETA: 111s
[>>>>>>> ] 69/287, 2.0 task/s, elapsed: 35s, ETA: 109s
[>>>>>>> ] 70/287, 2.0 task/s, elapsed: 35s, ETA: 107s
[>>>>>>> ] 71/287, 2.0 task/s, elapsed: 35s, ETA: 105s
[>>>>>>> ] 72/287, 2.0 task/s, elapsed: 35s, ETA: 106s
[>>>>>>> ] 73/287, 2.0 task/s, elapsed: 36s, ETA: 104s
[>>>>>>> ] 74/287, 2.1 task/s, elapsed: 36s, ETA: 103s
[>>>>>>>> ] 75/287, 2.1 task/s, elapsed: 36s, ETA: 101s
[>>>>>>>> ] 76/287, 2.1 task/s, elapsed: 36s, ETA: 99s
[>>>>>>>> ] 77/287, 2.2 task/s, elapsed: 36s, ETA: 98s
[>>>>>>>> ] 78/287, 2.2 task/s, elapsed: 36s, ETA: 96s
[>>>>>>>> ] 79/287, 2.2 task/s, elapsed: 36s, ETA: 94s
[>>>>>>>> ] 80/287, 2.2 task/s, elapsed: 36s, ETA: 93s
[>>>>>>>> ] 81/287, 2.3 task/s, elapsed: 36s, ETA: 91s
[>>>>>>>> ] 82/287, 2.3 task/s, elapsed: 36s, ETA: 90s
[>>>>>>>> ] 83/287, 2.3 task/s, elapsed: 36s, ETA: 89s
[>>>>>>>>> ] 84/287, 2.3 task/s, elapsed: 36s, ETA: 87s
[>>>>>>>>> ] 85/287, 2.4 task/s, elapsed: 36s, ETA: 86s
[>>>>>>>>> ] 86/287, 2.4 task/s, elapsed: 36s, ETA: 84s
[>>>>>>>>> ] 87/287, 2.4 task/s, elapsed: 36s, ETA: 83s
[>>>>>>>>> ] 88/287, 2.4 task/s, elapsed: 36s, ETA: 82s
[>>>>>>>>> ] 89/287, 2.5 task/s, elapsed: 36s, ETA: 80s
[>>>>>>>>> ] 90/287, 2.5 task/s, elapsed: 36s, ETA: 79s
[>>>>>>>>> ] 91/287, 2.5 task/s, elapsed: 36s, ETA: 78s
[>>>>>>>>> ] 92/287, 2.5 task/s, elapsed: 36s, ETA: 77s
[>>>>>>>>>> ] 93/287, 2.6 task/s, elapsed: 36s, ETA: 76s
[>>>>>>>>>> ] 94/287, 2.6 task/s, elapsed: 36s, ETA: 75s
[>>>>>>>>>> ] 95/287, 2.6 task/s, elapsed: 36s, ETA: 73s
[>>>>>>>>>> ] 96/287, 2.6 task/s, elapsed: 36s, ETA: 72s
[>>>>>>>>>> ] 97/287, 2.7 task/s, elapsed: 36s, ETA: 71s
[>>>>>>>>>> ] 98/287, 2.7 task/s, elapsed: 36s, ETA: 70s
[>>>>>>>>>> ] 99/287, 2.7 task/s, elapsed: 36s, ETA: 69s
[>>>>>>>>>> ] 100/287, 2.7 task/s, elapsed: 36s, ETA: 68s
[>>>>>>>>>> ] 101/287, 2.8 task/s, elapsed: 36s, ETA: 67s
[>>>>>>>>>> ] 102/287, 2.8 task/s, elapsed: 36s, ETA: 66s
[>>>>>>>>>> ] 103/287, 2.8 task/s, elapsed: 36s, ETA: 65s
[>>>>>>>>>> ] 104/287, 2.9 task/s, elapsed: 36s, ETA: 64s
[>>>>>>>>>> ] 105/287, 2.9 task/s, elapsed: 36s, ETA: 63s
[>>>>>>>>>>> ] 106/287, 2.9 task/s, elapsed: 36s, ETA: 62s
[>>>>>>>>>>> ] 107/287, 2.9 task/s, elapsed: 36s, ETA: 61s
[>>>>>>>>>>> ] 108/287, 3.0 task/s, elapsed: 36s, ETA: 60s
[>>>>>>>>>>> ] 109/287, 3.0 task/s, elapsed: 36s, ETA: 59s
[>>>>>>>>>>> ] 110/287, 3.0 task/s, elapsed: 36s, ETA: 59s
[>>>>>>>>>>> ] 111/287, 3.0 task/s, elapsed: 36s, ETA: 58s
[>>>>>>>>>>> ] 112/287, 3.1 task/s, elapsed: 36s, ETA: 57s
[>>>>>>>>>>> ] 113/287, 3.1 task/s, elapsed: 36s, ETA: 56s
[>>>>>>>>>>> ] 114/287, 3.1 task/s, elapsed: 37s, ETA: 55s
[>>>>>>>>>>>> ] 115/287, 3.1 task/s, elapsed: 37s, ETA: 55s
[>>>>>>>>>>>> ] 116/287, 3.2 task/s, elapsed: 37s, ETA: 54s
[>>>>>>>>>>>> ] 117/287, 3.2 task/s, elapsed: 37s, ETA: 53s
[>>>>>>>>>>>> ] 118/287, 3.2 task/s, elapsed: 37s, ETA: 53s
[>>>>>>>>>>>> ] 119/287, 3.2 task/s, elapsed: 37s, ETA: 52s
[>>>>>>>>>>>> ] 120/287, 3.0 task/s, elapsed: 40s, ETA: 55s
[>>>>>>>>>>>> ] 121/287, 3.0 task/s, elapsed: 40s, ETA: 55s
[>>>>>>>>>>>> ] 122/287, 3.0 task/s, elapsed: 40s, ETA: 54s
[>>>>>>>>>>>> ] 123/287, 3.1 task/s, elapsed: 40s, ETA: 53s
[>>>>>>>>>>>> ] 124/287, 3.1 task/s, elapsed: 40s, ETA: 53s
[>>>>>>>>>>>>> ] 125/287, 3.1 task/s, elapsed: 40s, ETA: 52s
[>>>>>>>>>>>>> ] 126/287, 3.1 task/s, elapsed: 40s, ETA: 51s
[>>>>>>>>>>>>> ] 127/287, 3.2 task/s, elapsed: 40s, ETA: 51s
[>>>>>>>>>>>>> ] 128/287, 3.2 task/s, elapsed: 40s, ETA: 50s
[>>>>>>>>>>>>> ] 129/287, 3.2 task/s, elapsed: 40s, ETA: 49s
[>>>>>>>>>>>>> ] 130/287, 3.2 task/s, elapsed: 40s, ETA: 49s
[>>>>>>>>>>>>> ] 131/287, 3.2 task/s, elapsed: 40s, ETA: 48s
[>>>>>>>>>>>>> ] 132/287, 3.3 task/s, elapsed: 40s, ETA: 47s
[>>>>>>>>>>>>> ] 133/287, 3.3 task/s, elapsed: 40s, ETA: 47s
[>>>>>>>>>>>>>> ] 134/287, 3.3 task/s, elapsed: 40s, ETA: 46s
[>>>>>>>>>>>>>> ] 135/287, 3.3 task/s, elapsed: 40s, ETA: 46s
[>>>>>>>>>>>>>> ] 136/287, 3.4 task/s, elapsed: 40s, ETA: 45s
[>>>>>>>>>>>>>> ] 137/287, 3.4 task/s, elapsed: 40s, ETA: 44s
[>>>>>>>>>>>>>> ] 138/287, 3.4 task/s, elapsed: 40s, ETA: 44s
[>>>>>>>>>>>>>> ] 139/287, 3.4 task/s, elapsed: 40s, ETA: 43s
[>>>>>>>>>>>>>> ] 140/287, 3.4 task/s, elapsed: 41s, ETA: 43s
[>>>>>>>>>>>>>> ] 141/287, 3.5 task/s, elapsed: 41s, ETA: 42s
[>>>>>>>>>>>>>> ] 142/287, 3.5 task/s, elapsed: 41s, ETA: 42s
[>>>>>>>>>>>>>> ] 143/287, 3.5 task/s, elapsed: 41s, ETA: 41s
[>>>>>>>>>>>>>>> ] 144/287, 3.5 task/s, elapsed: 41s, ETA: 41s
[>>>>>>>>>>>>>>> ] 145/287, 3.3 task/s, elapsed: 44s, ETA: 43s
[>>>>>>>>>>>>>>> ] 146/287, 3.4 task/s, elapsed: 44s, ETA: 42s
[>>>>>>>>>>>>>>> ] 147/287, 3.4 task/s, elapsed: 44s, ETA: 42s
[>>>>>>>>>>>>>>> ] 148/287, 3.4 task/s, elapsed: 44s, ETA: 41s
[>>>>>>>>>>>>>>> ] 149/287, 3.4 task/s, elapsed: 44s, ETA: 40s
[>>>>>>>>>>>>>>> ] 150/287, 3.4 task/s, elapsed: 44s, ETA: 40s
[>>>>>>>>>>>>>>> ] 151/287, 3.4 task/s, elapsed: 44s, ETA: 40s
[>>>>>>>>>>>>>>> ] 152/287, 3.5 task/s, elapsed: 44s, ETA: 39s
[>>>>>>>>>>>>>>> ] 153/287, 3.5 task/s, elapsed: 44s, ETA: 39s
[>>>>>>>>>>>>>>>> ] 154/287, 3.5 task/s, elapsed: 44s, ETA: 38s
[>>>>>>>>>>>>>>>> ] 155/287, 3.5 task/s, elapsed: 44s, ETA: 38s
[>>>>>>>>>>>>>>>> ] 156/287, 3.5 task/s, elapsed: 44s, ETA: 37s
[>>>>>>>>>>>>>>>> ] 157/287, 3.6 task/s, elapsed: 44s, ETA: 37s
[>>>>>>>>>>>>>>>> ] 158/287, 3.6 task/s, elapsed: 44s, ETA: 36s
[>>>>>>>>>>>>>>>> ] 159/287, 3.6 task/s, elapsed: 44s, ETA: 36s
[>>>>>>>>>>>>>>>> ] 160/287, 3.6 task/s, elapsed: 44s, ETA: 35s
[>>>>>>>>>>>>>>>> ] 161/287, 3.6 task/s, elapsed: 44s, ETA: 35s
[>>>>>>>>>>>>>>>> ] 162/287, 3.7 task/s, elapsed: 44s, ETA: 34s
[>>>>>>>>>>>>>>>>> ] 163/287, 3.7 task/s, elapsed: 44s, ETA: 34s
[>>>>>>>>>>>>>>>>> ] 164/287, 3.7 task/s, elapsed: 44s, ETA: 33s
[>>>>>>>>>>>>>>>>> ] 165/287, 3.7 task/s, elapsed: 44s, ETA: 33s
[>>>>>>>>>>>>>>>>> ] 166/287, 3.7 task/s, elapsed: 44s, ETA: 32s
[>>>>>>>>>>>>>>>>> ] 167/287, 3.8 task/s, elapsed: 44s, ETA: 32s
[>>>>>>>>>>>>>>>>> ] 168/287, 3.8 task/s, elapsed: 44s, ETA: 32s
[>>>>>>>>>>>>>>>>> ] 169/287, 3.8 task/s, elapsed: 44s, ETA: 31s
[>>>>>>>>>>>>>>>>> ] 170/287, 3.8 task/s, elapsed: 44s, ETA: 31s
[>>>>>>>>>>>>>>>>> ] 171/287, 3.8 task/s, elapsed: 44s, ETA: 30s
[>>>>>>>>>>>>>>>>> ] 172/287, 3.9 task/s, elapsed: 45s, ETA: 30s
[>>>>>>>>>>>>>>>>>> ] 173/287, 3.9 task/s, elapsed: 45s, ETA: 29s
[>>>>>>>>>>>>>>>>>> ] 174/287, 3.9 task/s, elapsed: 45s, ETA: 29s
[>>>>>>>>>>>>>>>>>> ] 175/287, 3.9 task/s, elapsed: 45s, ETA: 29s
[>>>>>>>>>>>>>>>>>> ] 176/287, 3.9 task/s, elapsed: 45s, ETA: 28s
[>>>>>>>>>>>>>>>>>> ] 177/287, 4.0 task/s, elapsed: 45s, ETA: 28s
[>>>>>>>>>>>>>>>>>> ] 178/287, 4.0 task/s, elapsed: 45s, ETA: 27s
[>>>>>>>>>>>>>>>>>> ] 179/287, 4.0 task/s, elapsed: 45s, ETA: 27s
[>>>>>>>>>>>>>>>>>> ] 180/287, 4.0 task/s, elapsed: 45s, ETA: 27s
[>>>>>>>>>>>>>>>>>> ] 181/287, 4.0 task/s, elapsed: 45s, ETA: 26s
[>>>>>>>>>>>>>>>>>>> ] 182/287, 4.1 task/s, elapsed: 45s, ETA: 26s
[>>>>>>>>>>>>>>>>>>> ] 183/287, 4.1 task/s, elapsed: 45s, ETA: 25s
[>>>>>>>>>>>>>>>>>>> ] 184/287, 4.1 task/s, elapsed: 45s, ETA: 25s
[>>>>>>>>>>>>>>>>>>> ] 185/287, 4.1 task/s, elapsed: 45s, ETA: 25s
[>>>>>>>>>>>>>>>>>>> ] 186/287, 4.1 task/s, elapsed: 45s, ETA: 24s
[>>>>>>>>>>>>>>>>>>> ] 187/287, 4.2 task/s, elapsed: 45s, ETA: 24s
[>>>>>>>>>>>>>>>>>>> ] 188/287, 4.2 task/s, elapsed: 45s, ETA: 24s
[>>>>>>>>>>>>>>>>>>> ] 189/287, 4.2 task/s, elapsed: 45s, ETA: 23s
[>>>>>>>>>>>>>>>>>>> ] 190/287, 4.2 task/s, elapsed: 45s, ETA: 23s
[>>>>>>>>>>>>>>>>>>> ] 191/287, 4.2 task/s, elapsed: 45s, ETA: 23s
[>>>>>>>>>>>>>>>>>>>> ] 192/287, 4.3 task/s, elapsed: 45s, ETA: 22s
[>>>>>>>>>>>>>>>>>>>> ] 193/287, 4.3 task/s, elapsed: 45s, ETA: 22s
[>>>>>>>>>>>>>>>>>>>> ] 194/287, 4.3 task/s, elapsed: 45s, ETA: 22s
[>>>>>>>>>>>>>>>>>>>> ] 195/287, 4.3 task/s, elapsed: 45s, ETA: 21s
[>>>>>>>>>>>>>>>>>>>> ] 196/287, 4.4 task/s, elapsed: 45s, ETA: 21s
[>>>>>>>>>>>>>>>>>>>> ] 197/287, 4.4 task/s, elapsed: 45s, ETA: 21s
[>>>>>>>>>>>>>>>>>>>> ] 198/287, 4.4 task/s, elapsed: 45s, ETA: 20s
[>>>>>>>>>>>>>>>>>>>> ] 199/287, 4.4 task/s, elapsed: 45s, ETA: 20s
[>>>>>>>>>>>>>>>>>>>> ] 200/287, 4.4 task/s, elapsed: 45s, ETA: 20s
[>>>>>>>>>>>>>>>>>>>>> ] 201/287, 4.4 task/s, elapsed: 45s, ETA: 19s
[>>>>>>>>>>>>>>>>>>>>> ] 202/287, 4.5 task/s, elapsed: 45s, ETA: 19s
[>>>>>>>>>>>>>>>>>>>>> ] 203/287, 4.5 task/s, elapsed: 45s, ETA: 19s
[>>>>>>>>>>>>>>>>>>>>> ] 204/287, 4.5 task/s, elapsed: 45s, ETA: 18s
[>>>>>>>>>>>>>>>>>>>>> ] 205/287, 4.5 task/s, elapsed: 45s, ETA: 18s
[>>>>>>>>>>>>>>>>>>>>> ] 206/287, 4.6 task/s, elapsed: 45s, ETA: 18s
[>>>>>>>>>>>>>>>>>>>>> ] 207/287, 4.6 task/s, elapsed: 45s, ETA: 18s
[>>>>>>>>>>>>>>>>>>>>> ] 208/287, 4.6 task/s, elapsed: 45s, ETA: 17s
[>>>>>>>>>>>>>>>>>>>>> ] 209/287, 4.6 task/s, elapsed: 45s, ETA: 17s
[>>>>>>>>>>>>>>>>>>>>> ] 210/287, 4.6 task/s, elapsed: 45s, ETA: 17s
[>>>>>>>>>>>>>>>>>>>>>> ] 211/287, 4.7 task/s, elapsed: 45s, ETA: 16s
[>>>>>>>>>>>>>>>>>>>>>> ] 212/287, 4.7 task/s, elapsed: 45s, ETA: 16s
[>>>>>>>>>>>>>>>>>>>>>> ] 213/287, 4.7 task/s, elapsed: 45s, ETA: 16s
[>>>>>>>>>>>>>>>>>>>>>> ] 214/287, 4.7 task/s, elapsed: 45s, ETA: 15s
[>>>>>>>>>>>>>>>>>>>>>> ] 215/287, 4.7 task/s, elapsed: 45s, ETA: 15s
[>>>>>>>>>>>>>>>>>>>>>> ] 216/287, 4.8 task/s, elapsed: 45s, ETA: 15s
[>>>>>>>>>>>>>>>>>>>>>> ] 217/287, 4.8 task/s, elapsed: 45s, ETA: 15s
[>>>>>>>>>>>>>>>>>>>>>> ] 218/287, 4.8 task/s, elapsed: 46s, ETA: 14s
[>>>>>>>>>>>>>>>>>>>>>> ] 219/287, 4.8 task/s, elapsed: 46s, ETA: 14s
[>>>>>>>>>>>>>>>>>>>>>> ] 220/287, 4.7 task/s, elapsed: 47s, ETA: 14s
[>>>>>>>>>>>>>>>>>>>>>>> ] 221/287, 4.7 task/s, elapsed: 47s, ETA: 14s
[>>>>>>>>>>>>>>>>>>>>>>> ] 222/287, 4.7 task/s, elapsed: 47s, ETA: 14s
[>>>>>>>>>>>>>>>>>>>>>>> ] 223/287, 4.7 task/s, elapsed: 47s, ETA: 14s
[>>>>>>>>>>>>>>>>>>>>>>> ] 224/287, 4.7 task/s, elapsed: 48s, ETA: 13s
[>>>>>>>>>>>>>>>>>>>>>>> ] 225/287, 4.6 task/s, elapsed: 49s, ETA: 13s
[>>>>>>>>>>>>>>>>>>>>>>> ] 226/287, 4.7 task/s, elapsed: 49s, ETA: 13s
[>>>>>>>>>>>>>>>>>>>>>>> ] 227/287, 4.6 task/s, elapsed: 49s, ETA: 13s
[>>>>>>>>>>>>>>>>>>>>>>> ] 228/287, 4.6 task/s, elapsed: 50s, ETA: 13s
[>>>>>>>>>>>>>>>>>>>>>>> ] 229/287, 4.5 task/s, elapsed: 51s, ETA: 13s
[>>>>>>>>>>>>>>>>>>>>>>>> ] 230/287, 4.5 task/s, elapsed: 51s, ETA: 13s
[>>>>>>>>>>>>>>>>>>>>>>>> ] 231/287, 4.5 task/s, elapsed: 51s, ETA: 12s
[>>>>>>>>>>>>>>>>>>>>>>>> ] 232/287, 4.3 task/s, elapsed: 54s, ETA: 13s
[>>>>>>>>>>>>>>>>>>>>>>>> ] 233/287, 4.3 task/s, elapsed: 54s, ETA: 13s
[>>>>>>>>>>>>>>>>>>>>>>>> ] 234/287, 4.3 task/s, elapsed: 55s, ETA: 12s
[>>>>>>>>>>>>>>>>>>>>>>>> ] 235/287, 3.8 task/s, elapsed: 62s, ETA: 14s
[>>>>>>>>>>>>>>>>>>>>>>>> ] 236/287, 3.6 task/s, elapsed: 65s, ETA: 14s
[>>>>>>>>>>>>>>>>>>>>>>>> ] 237/287, 3.6 task/s, elapsed: 66s, ETA: 14s
[>>>>>>>>>>>>>>>>>>>>>>>> ] 238/287, 2.6 task/s, elapsed: 92s, ETA: 19s
[>>>>>>>>>>>>>>>>>>>>>>>> ] 239/287, 2.6 task/s, elapsed: 92s, ETA: 18s
[>>>>>>>>>>>>>>>>>>>>>>>>> ] 240/287, 2.6 task/s, elapsed: 92s, ETA: 18s
[>>>>>>>>>>>>>>>>>>>>>>>>> ] 241/287, 2.6 task/s, elapsed: 92s, ETA: 18s
[>>>>>>>>>>>>>>>>>>>>>>>>> ] 242/287, 2.6 task/s, elapsed: 92s, ETA: 17s
[>>>>>>>>>>>>>>>>>>>>>>>>> ] 243/287, 2.6 task/s, elapsed: 92s, ETA: 17s
[>>>>>>>>>>>>>>>>>>>>>>>>> ] 244/287, 2.7 task/s, elapsed: 92s, ETA: 16s
[>>>>>>>>>>>>>>>>>>>>>>>>> ] 245/287, 2.7 task/s, elapsed: 92s, ETA: 16s
[>>>>>>>>>>>>>>>>>>>>>>>>> ] 246/287, 2.7 task/s, elapsed: 92s, ETA: 15s
[>>>>>>>>>>>>>>>>>>>>>>>>> ] 247/287, 2.7 task/s, elapsed: 92s, ETA: 15s
[>>>>>>>>>>>>>>>>>>>>>>>>> ] 248/287, 2.7 task/s, elapsed: 92s, ETA: 14s
[>>>>>>>>>>>>>>>>>>>>>>>>>> ] 249/287, 2.7 task/s, elapsed: 92s, ETA: 14s
[>>>>>>>>>>>>>>>>>>>>>>>>>> ] 250/287, 2.7 task/s, elapsed: 92s, ETA: 14s
[>>>>>>>>>>>>>>>>>>>>>>>>>> ] 251/287, 2.7 task/s, elapsed: 92s, ETA: 13s
[>>>>>>>>>>>>>>>>>>>>>>>>>> ] 252/287, 2.7 task/s, elapsed: 92s, ETA: 13s
[>>>>>>>>>>>>>>>>>>>>>>>>>> ] 253/287, 2.8 task/s, elapsed: 92s, ETA: 12s
[>>>>>>>>>>>>>>>>>>>>>>>>>> ] 254/287, 2.8 task/s, elapsed: 92s, ETA: 12s
[>>>>>>>>>>>>>>>>>>>>>>>>>> ] 255/287, 2.8 task/s, elapsed: 92s, ETA: 12s
[>>>>>>>>>>>>>>>>>>>>>>>>>> ] 256/287, 2.8 task/s, elapsed: 92s, ETA: 11s
[>>>>>>>>>>>>>>>>>>>>>>>>>> ] 257/287, 2.8 task/s, elapsed: 92s, ETA: 11s
[>>>>>>>>>>>>>>>>>>>>>>>>>> ] 258/287, 2.8 task/s, elapsed: 92s, ETA: 10s
[>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 259/287, 2.8 task/s, elapsed: 92s, ETA: 10s
[>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 260/287, 2.8 task/s, elapsed: 92s, ETA: 10s
[>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 261/287, 2.8 task/s, elapsed: 92s, ETA: 9s
[>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 262/287, 2.7 task/s, elapsed: 97s, ETA: 9s
[>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 263/287, 2.7 task/s, elapsed: 97s, ETA: 9s
[>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 264/287, 2.7 task/s, elapsed: 97s, ETA: 8s
[>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 265/287, 2.7 task/s, elapsed: 97s, ETA: 8s
[>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 266/287, 2.7 task/s, elapsed: 97s, ETA: 8s
[>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 267/287, 2.7 task/s, elapsed: 97s, ETA: 7s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 268/287, 2.8 task/s, elapsed: 97s, ETA: 7s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 269/287, 2.8 task/s, elapsed: 97s, ETA: 7s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 270/287, 2.8 task/s, elapsed: 97s, ETA: 6s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 271/287, 2.8 task/s, elapsed: 97s, ETA: 6s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 272/287, 2.8 task/s, elapsed: 97s, ETA: 5s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 273/287, 2.8 task/s, elapsed: 97s, ETA: 5s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 274/287, 2.8 task/s, elapsed: 97s, ETA: 5s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 275/287, 2.8 task/s, elapsed: 97s, ETA: 4s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 276/287, 2.8 task/s, elapsed: 97s, ETA: 4s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 277/287, 2.8 task/s, elapsed: 97s, ETA: 4s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 278/287, 2.9 task/s, elapsed: 97s, ETA: 3s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 279/287, 2.9 task/s, elapsed: 97s, ETA: 3s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 280/287, 2.9 task/s, elapsed: 97s, ETA: 2s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 281/287, 2.9 task/s, elapsed: 97s, ETA: 2s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 282/287, 2.9 task/s, elapsed: 97s, ETA: 2s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 283/287, 2.9 task/s, elapsed: 97s, ETA: 1s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 284/287, 2.9 task/s, elapsed: 97s, ETA: 1s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 285/287, 2.9 task/s, elapsed: 97s, ETA: 1s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 286/287, 2.2 task/s, elapsed: 129s, ETA: 0s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 287/287, 2.2 task/s, elapsed: 131s, ETA: 0s
dataset version metric mode internvl-chat-20b
---------------------------- --------- ---------------------------- ------ -------------------
mmlu - naive_average gen 66.50
mmlu_pro - - - -
cmmlu - naive_average gen 64.70
ceval - naive_average gen 61.75
agieval - - - -
GaokaoBench - weighted_average gen 63.48
GPQA_extended - - - -
GPQA_main - - - -
GPQA_diamond - - - -
ARC-c - - - -
truthfulqa - - - -
triviaqa 2121ce score gen 61.82
triviaqa_wiki_1shot - - - -
nq 3dcea1 score gen 23.57
C3 8c358f accuracy gen 92.16
race-high 9a54b6 accuracy gen 86.16
flores_100 - - - -
winogrande b36770 accuracy gen 76.40
hellaswag e42710 accuracy gen 85.28
bbh - naive_average gen 70.12
gsm8k 1d7fe4 accuracy gen 80.67
math 393424 accuracy gen 34.94
TheoremQA 6f0af8 score gen 22.12
MathBench - - - -
openai_humaneval 8e312c humaneval_pass@1 gen 71.34
humaneval_plus - - - -
humanevalx - - - -
sanitized_mbpp a447ff score gen 70.82
mbpp_plus - - - -
mbpp_cn 6fb572 score gen 55.80
leval - - - -
leval_closed - - - -
leval_open - - - -
longbench - - - -
longbench_single-document-qa - - - -
longbench_multi-document-qa - - - -
longbench_summarization - - - -
longbench_few-shot-learning - - - -
longbench_synthetic-tasks - - - -
longbench_code-completion - - - -
teval - - - -
teval_zh - - - -
IFEval 3321a3 Prompt-level-strict-accuracy gen 41.22
IFEval 3321a3 Inst-level-strict-accuracy gen 53.72
IFEval 3321a3 Prompt-level-loose-accuracy gen 46.21
IFEval 3321a3 Inst-level-loose-accuracy gen 58.51
12/05 03:33:05 - OpenCompass - INFO - write summary to /mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/20241205_031205/summary/summary_20241205_031205.txt
12/05 03:33:05 - OpenCompass - INFO - write csv to /mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B-Pretrain/20241205_031205/summary/summary_20241205_031205.csv
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