Moodle

Get

• git clone -b MOODLE_404_STABLE git://git.moodle.org/moodle.git on /pathto/moodle/
• chown -R root /pathto/moodle/
• chmod -R 0755 /pathto/moodle/
• find /pathto/moodle/ -type f -exec chmod 0644 {} \;

MoodleData

• mkdir /pathto/moodledata
• chmod 0777 /pathto/moodledata
• setfacl -R -m u:$(whoami):rwX /pathto/moodledata
• setfacl -R -d -m u:$(whoami):rwX /pathto/moodledata

Security

• goto /home/moodle/moodledata and create file of .htaccess
  order deny,allow
  deny from all

Install

• open localhost/moodle to install
• create moodle/config.php
  chmod -R 0644 moodle/config.php

mysql upgrade 5 to 8

Backup

• mkdir mysqlbk
• mysqldump ---all-databases --routines --events > ~/mysqlbk/mysql_backup.sql
• cp /etc/my.cnf ~/mysqlbk/my.cnf
• cp -R /etc/my.cnf.d/ ~/mysqlbk/etc_my.cnf.d/
• cp -R /var/lib/mysql/ ~/mysqlbk/var_lib_mysql/
• mysql -u -p
  mysql> open mysql
  mysql> SELECT User, Host FROM mysql.user;  # list user and backup

Upgrade

• rpm -e --nodeps mysql57-community-release
• yum update -y
• rpm --import https://repo.mysql.com/RPM-GPG-KEY-mysql-2023
• yum install -y https://repo.mysql.com/mysql84-community-release-el7-1.noarch.rpm
• yum makecache
• systemctl stop mysqld.service
• yum remove -y mysql-community-client-5.7* mysql-community-common-5.7* mysql-community-libs-5.7* mysql-community-server-5.7* 
• yum install mysql-community-server
• systemctl start mysqld.service

ERROR:Data Dictionary initialization failed.

• rm -rf /var/lib/mysql
• mysqld --initialize --console
• chown -R mysql:mysql /var/lib/mysql
• systemctl start mysqld

Config

• grep 'temporary password' /var/log/mysqld.log
• mysql_secure_installation

Perplexica - AI Search

Before

• install git & lfs
• install docker
• install ollama and llm

Install

• git clone https://github.com/ItzCrazyKns/Perplexica
• goto directory of perplexica
• rename .\Perplexica\sample.config.toml .\Perplexica\config.toml
• powershell> docker compose up -d (--build)
• open localhost:3000

Default Port Change [3001]

• open config.toml
• find [GENERAL] PORT = 3001 # Port to run the server on
• change 3001 to your_port
• open docker-compose.yaml
• find ports: - 3001:3001
• change 3001 to your_port both
• find 2line like NEXT_PUBLIC
• change 3001 to your_port

Run on public IP

• open config.toml
• find [API_ENDPOINTS] SEARXNG = and OLLAMA =
• change to your_ip
• open docker-compose.yaml
• find 2line like NEXT_PUBLIC_
• change to your_public_ip
• config your win's env 
• OLLAMA_HOST=0.0.0.0

UPDATE

• stop perplexica on docker
• goto directory of perplexica
• git pull origin master
• check config.toml and docker-compose.yaml
• powershell> docker compose up -d --build

Bark

 Bark

• Git
  git clone https://github.com/C0untFloyd/bark-gui
• Anaconda
• Install
  pip install .
  pip install -r requirements.txt
• Run
  python webui.py
• WEB
  Open http://127.0.0.1:7860
• ERROR:bark Audio.__init__() got an unexpected keyword argument 'source'
  pip uninstall gradio
  pip install gradio==3.50.2

AnythingLLM with Ollama

1.Install Ollama First

2.chroma install use docker

• PS>> docker pull ghcr.io/chroma-core/chroma:0.4.24
• PS>> docker run -p 8000:8000 ghcr.io/chroma-core/chroma:0.4.24

3.anythingllm install use docker

• create directory C:/anythingllm/storage and file C:/anythingllm/env.txt
• PS>> docker run -d -p 3001:3001 --cap-add SYS_ADMIN -v C:/anythingllm/storage:/app/server/storage -v C:/anythingllm/env.txt:/app/server/.env -e STORAGE_DIR="/app/server/storage" --add-host=host.docker.internal:host-gateway --name anythingllm mintplexlabs/anythingllm
• Open localhost:3001, and config llm setting to use http://host.docker.internal:11434

2024/8/4

UPDATE

• Stop anythingllm on docker
• PS> docker pull mintplexlabs/anythingllm
• Start anythingllm on docker

LLama-Factory

 For Windows

• Download and Unzip file from https://github.com/hiyouga/LLaMA-Factory and Unzip
• Install rustup‑init.exe from https://rustup.rs/
• Use Anconda create a env and activate
• Install Anconda ( https://www.anaconda.com/download )
• Install Python ( https://www.python.org/downloads/ )
• Install Pytorch ( https://pytorch.org/get-started/locally/ , just use conda to install 12.x )
• # Test CUDA with GPU
• python
• >> import torch
• >> torch.cuda.is_available()
• true
• cd llama-factory directory
• pip install -r requirements.txt
• pip install https://github.com/jllllll/bitsandbytes-windows-webui/releases/download/wheels/bitsandbytes-0.39.1-py3-none-win_amd64.whl
• python .\src\train_web.py
• Open localhost:7860 and Train your LLM