OSError: ChatGLM2-6B is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models'

[xxtyy]

(venv) xiao@spider:~/ChatGLM-Finetuning$ CUDA_VISIBLE_DEVICES=0 deepspeed --master_port 8888 train.py \

            --train_path data/spo_0.json \
            --model_name_or_path ChatGLM2-6B \
            --per_device_train_batch_size 1 \
            --max_len 768 \
            --max_src_len 512 \
            --learning_rate 1e-4 \
            --weight_decay 0.1 \
            --num_train_epochs 2 \
            --gradient_accumulation_steps 4 \
            --warmup_ratio 0.1 \
            --mode glm \
            --train_type ptuning \
            --seed 1234 \
            --ds_file ds_zero2_no_offload.json \
            --gradient_checkpointing \
            --show_loss_step 10 \
            --pre_seq_len 16 \
            --prefix_projection True \
            --output_dir ./output-glm

[2023-11-07 15:52:33,664] [WARNING] [runner.py:190:fetch_hostfile] Unable to find hostfile, will proceed with training with local resources only.
Detected CUDA_VISIBLE_DEVICES=0: setting --include=localhost:0
[2023-11-07 15:52:33,673] [INFO] [runner.py:540:main] cmd = /home/xiao/ChatGLM-Finetuning/venv/bin/python -u -m deepspeed.launcher.launch --world_info=eyJsb2NhbGhvc3QiOiBbMF19 --master_addr=127.0.0.1 --master_port=8888 --enable_each_rank_log=None train.py --train_path data/spo_0.json --model_name_or_path ChatGLM2-6B --per_device_train_batch_size 1 --max_len 768 --max_src_len 512 --learning_rate 1e-4 --weight_decay 0.1 --num_train_epochs 2 --gradient_accumulation_steps 4 --warmup_ratio 0.1 --mode glm --train_type ptuning --seed 1234 --ds_file ds_zero2_no_offload.json --gradient_checkpointing --show_loss_step 10 --pre_seq_len 16 --prefix_projection True --output_dir ./output-glm
[2023-11-07 15:52:34,810] [INFO] [launch.py:229:main] WORLD INFO DICT: {'localhost': [0]}
[2023-11-07 15:52:34,810] [INFO] [launch.py:235:main] nnodes=1, num_local_procs=1, node_rank=0
[2023-11-07 15:52:34,810] [INFO] [launch.py:246:main] global_rank_mapping=defaultdict(<class 'list'>, {'localhost': [0]})
[2023-11-07 15:52:34,810] [INFO] [launch.py:247:main] dist_world_size=1
[2023-11-07 15:52:34,810] [INFO] [launch.py:249:main] Setting CUDA_VISIBLE_DEVICES=0
[2023-11-07 15:52:35,996] [INFO] [comm.py:586:init_distributed] Initializing TorchBackend in DeepSpeed with backend nccl
2023-11-07 15:52:36.106900: I tensorflow/core/util/port.cc:110] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable TF_ENABLE_ONEDNN_OPTS=0.
2023-11-07 15:52:36.132146: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2023-11-07 15:52:36.582648: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
Traceback (most recent call last):
File "/home/xiao/ChatGLM-Finetuning/venv/lib/python3.10/site-packages/huggingface_hub/utils/_errors.py", line 261, in hf_raise_for_status
response.raise_for_status()
File "/home/xiao/ChatGLM-Finetuning/venv/lib/python3.10/site-packages/requests/models.py", line 1021, in raise_for_status
raise HTTPError(http_error_msg, response=self)
requests.exceptions.HTTPError: 401 Client Error: Unauthorized for url: https://huggingface.co/ChatGLM2-6B/resolve/main/tokenizer_config.json

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
File "/home/xiao/ChatGLM-Finetuning/venv/lib/python3.10/site-packages/transformers/utils/hub.py", line 430, in cached_file
resolved_file = hf_hub_download(
File "/home/xiao/ChatGLM-Finetuning/venv/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 118, in _inner_fn
return fn(*args, **kwargs)
File "/home/xiao/ChatGLM-Finetuning/venv/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1346, in hf_hub_download
raise head_call_error
File "/home/xiao/ChatGLM-Finetuning/venv/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1232, in hf_hub_download
metadata = get_hf_file_metadata(
File "/home/xiao/ChatGLM-Finetuning/venv/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 118, in _inner_fn
return fn(*args, **kwargs)
File "/home/xiao/ChatGLM-Finetuning/venv/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1608, in get_hf_file_metadata
hf_raise_for_status(r)
File "/home/xiao/ChatGLM-Finetuning/venv/lib/python3.10/site-packages/huggingface_hub/utils/_errors.py", line 293, in hf_raise_for_status
raise RepositoryNotFoundError(message, response) from e
huggingface_hub.utils._errors.RepositoryNotFoundError: 401 Client Error. (Request ID: Root=1-6549ecc6-73aede0d7a9923e64722742c;8af87e54-9119-4c1a-b48f-0fba11517e3b)

Repository Not Found for url: https://huggingface.co/ChatGLM2-6B/resolve/main/tokenizer_config.json.
Please make sure you specified the correct repo_id and repo_type.
If you are trying to access a private or gated repo, make sure you are authenticated.
Invalid username or password.

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
File "/home/xiao/ChatGLM-Finetuning/train.py", line 235, in
main()
File "/home/xiao/ChatGLM-Finetuning/train.py", line 96, in main
tokenizer = MODE[args.mode]["tokenizer"].from_pretrained(args.model_name_or_path)
File "/home/xiao/ChatGLM-Finetuning/venv/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 1947, in from_pretrained
resolved_config_file = cached_file(
File "/home/xiao/ChatGLM-Finetuning/venv/lib/python3.10/site-packages/transformers/utils/hub.py", line 451, in cached_file
raise EnvironmentError(
OSError: ChatGLM2-6B is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models'
If this is a private repository, make sure to pass a token having permission to this repo either by logging in with huggingface-cli login or by passing token=<your_token>
[2023-11-07 15:52:38,814] [INFO] [launch.py:428:sigkill_handler] Killing subprocess 28520
[2023-11-07 15:52:38,815] [ERROR] [launch.py:434:sigkill_handler] ['/home/xiao/ChatGLM-Finetuning/venv/bin/python', '-u', 'train.py', '--local_rank=0', '--train_path', 'data/spo_0.json', '--model_name_or_path', 'ChatGLM2-6B', '--per_device_train_batch_size', '1', '--max_len', '768', '--max_src_len', '512', '--learning_rate', '1e-4', '--weight_decay', '0.1', '--num_train_epochs', '2', '--gradient_accumulation_steps', '4', '--warmup_ratio', '0.1', '--mode', 'glm', '--train_type', 'ptuning', '--seed', '1234', '--ds_file', 'ds_zero2_no_offload.json', '--gradient_checkpointing', '--show_loss_step', '10', '--pre_seq_len', '16', '--prefix_projection', 'True', '--output_dir', './output-glm'] exits with return code = 1

[xxtyy]

please help me

[xxtyy]

thanks

[GhostX]

maybe try --model_name_or_path THUDM/chatglm2-6b

[logCong]

你需要将模型提前下载好，放到ChatGLM2-6B 目录下，或者将--model_name_or_path对应得参数修改成你本地模型路径