Interactive Risk Warning (Default Mode)
In default mode, when a user writes a model fine-tuning, evaluation, or inference command on the CLI, if the access permission of the file or folder specified by the input parameter path is improper (for details about the permission setting rules, see File and Folder Permissions), the mxTuningKit package displays the following risk warning for user confirmation.
API |
Option |
Risky Operation |
CLI |
Python API |
|---|---|---|---|---|
finetune |
pretrained_model_path |
The access permission of the file or folder specified by the input parameter path is too small, which may cause privilege escalation risks. |
Interactive risk warning, asking users to choose whether to accept the risk and continue the service. |
Warning log. |
evaluate/infer |
ckpt_path |
|||
finetune/evaluate/infer |
data_path |
|||
output_path |
||||
model_config_path |
||||
boot_file_path |
Error returned. |
The CLI displays an interactive risk warning to users. For Python APIs, if the high-risk parameter boot_file_path fails the privilege escalation verification, an error is reported and the job is stopped. For other parameters, risk warnings are displayed in logs, but the job is not stopped.