1. Deploy NFS Storage 1.1 Configure the NFS Service on the Storage Node Install the NFS service on the storage node 1 apt-get install -y nfs-kernel-server Start the NFS service and enable it at boot 1 systemctl start nfs-server.service & systemctl enable nfs-server.service Configure the NFS shared directory 1 mkdir -p /data/nfs 1 vim /etc/exports /data/nfs *(rw,sync,no_root_squash,no_all_squash) Restart the NFS service 1 systemctl restart nfs-server.

1. The history Command The history command lets you view the command history of the current session. When you exit the shell, the command history is saved to the corresponding history file. For bash, the command history is saved in the ~/.bash_history file; for zsh, it is saved in ~/.zsh_history. You can also use the HISTFILE environment variable to specify the location of the history file: export HISTFILE=/data/ops/bash_history.

2025 Intrinsic Fingerprint of LLMs [Published: 07-04] View The paper proposes a robust fingerprinting method based on the inter-layer standard-deviation distribution pattern of attention parameter matrices (Q/K/V/O), used to detect lineage relationships between large language models (LLMs) — for example, whether one model was derived from another through continued training, fine-tuning, or an upgrade.

1. Get the Project ID and API Key Visit https://aistudio.google.com/apikey Get the project ID and API key, and set them as environment variables 1 2 echo "export GOOGLE_CLOUD_PROJECT=" >> ~/.bashrc echo "export GEMINI_API_KEY=" >> ~/.bashrc 1 source ~/.bashrc 2. Prepare the Node.js Environment Install nvm 1 curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.40.3/install.sh |

1. Installing Dependencies MindCluster ToolBox is a system-level toolset for cluster operations and hardware management, mainly used for operations such as device monitoring, performance testing, and log collection. MindCluster ToolBox includes the Ascend DMI tool, the log collection tool, and the Ascend Cert tool. MindCluster ToolBox works by calling low-level DCMI (Device Control Management Interface) and AscendCL (Ascend Computing Language) interfaces to perform the relevant detection functions; system-level information queries are implemented by calling the general-purpose libraries provided by the system.