incorrect model_max_length about stanford_alpaca

[joemkwon]

Not sure if maybe this is in action:
"When the tokenizer is loaded with from_pretrained, this will be set to the value stored for the associated model in max_model_input_sizes (see above). If no value is provided, will default to VERY_LARGE_INTEGER (int(1e30)). no associated max_length can be found in max_model_input_sizes."

However, it seems odd that this happens and at the same time, the tokenizer in train.py is specified as:
tokenizer = transformers.LlamaTokenizer.from_pretrained(
model_args.model_name_or_path,
cache_dir=training_args.cache_dir,
model_max_length=training_args.model_max_length,
padding_side="right",
use_fast=False,
)

Specifically using traning_args.model_max_length not any model attribute.