训练llama-30b模型报错是不支持llama-30b模型么？

[13416157913]

building PretrainedFromHF tokenizer ...
Traceback (most recent call last):
File "/home/llm-deploy/Megatron-LLaMA/pretrain_llama.py", line 119, in
pretrain(train_valid_test_datasets_provider, model_provider,
File "/home/llm-deploy/Megatron-LLaMA/megatron/training.py", line 90, in pretrain
initialize_megatron(extra_args_provider=extra_args_provider,
File "/home/llm-deploy/Megatron-LLaMA/megatron/initialize.py", line 50, in initialize_megatron
set_global_variables(args)
File "/home/llm-deploy/Megatron-LLaMA/megatron/global_vars.py", line 92, in set_global_variables
_ = _build_tokenizer(args)
File "/home/llm-deploy/Megatron-LLaMA/megatron/global_vars.py", line 125, in _build_tokenizer
_GLOBAL_TOKENIZER = build_tokenizer(args)
File "/home/llm-deploy/Megatron-LLaMA/megatron/tokenizer/tokenizer.py", line 46, in build_tokenizer
tokenizer = _AutoTokenizer(args.tokenizer_name_or_path, vocab_extra_ids=args.vocab_extra_ids)
File "/home/llm-deploy/Megatron-LLaMA/megatron/tokenizer/tokenizer.py", line 554, in init
self.tokenizer = AutoTokenizer.from_pretrained(tokenizer_name_or_path, **hf_tokenizer_kwargs)
File "/home/llm-deploy/anaconda3/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py", line 652, in from_pretrained
tokenizer_config = get_tokenizer_config(pretrained_model_name_or_path, **kwargs)
File "/home/llm-deploy/anaconda3/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py", line 496, in get_tokenizer_config
resolved_config_file = cached_file(
File "/home/llm-deploy/anaconda3/lib/python3.10/site-packages/transformers/utils/hub.py", line 417, in cached_file
resolved_file = hf_hub_download(
File "/home/llm-deploy/anaconda3/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 110, in _inner_fn
validate_repo_id(arg_value)
File "/home/llm-deploy/anaconda3/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 158, in validate_repo_id
raise HFValidationError(
huggingface_hub.utils._validators.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/xxx/megatron-llama-30b-checkpoint'. Use repo_type argument if needed.