README.md

Gensyn Testnet Node Guide

💻 System Requirements

Requirement	Details
CPU Architecture	arm64 or amd64
Recommended RAM	25 GB
CUDA Devices (Recommended)	RTX 3090, RTX 4090, A100, H100
Python Version	Python >= 3.10 (For Mac, you may need to upgrade)

🌐 Rent GPU

• Visit : Quick Pod Website
• Sign Up using email address
• Go to your email and verify your Quick Pod account
• Click on Add button in the corner to deposit fund
• You can deposit using crypto currency (from metamask) or using Credit card
• Now go to template section and then select Ubuntu 22.04 jammy in the below
• Now click on Select GPU and search RTX 4090 and choose it
• Now choose a GPU and click on Create POD button
• Your GPU server will be deployed soon
• Now click on Connect option and then choose Connect to web terminal

📥 Installation

1. Install sudo

apt update && apt install -y sudo

2. Install other dependencies

sudo apt update && sudo apt install -y python3 python3-venv python3-pip curl wget screen git lsof && curl -sS https://dl.yarnpkg.com/debian/pubkey.gpg | sudo apt-key add - && echo "deb https://dl.yarnpkg.com/debian/ stable main" | sudo tee /etc/apt/sources.list.d/yarn.list && sudo apt update && sudo apt install -y yarn

3. Install Node.js and npm if not installed already

curl -sSL https://raw.githubusercontent.com/zunxbt/installation/main/node.sh | bash

4. Clone this repository

cd $HOME && [ -d rl-swarm ] && rm -rf rl-swarm; git clone https://github.com/zunxbt/rl-swarm.git && cd rl-swarm

5. Create a screen session

screen -S gensyn

6. Run the swarm

python3 -m venv .venv && . .venv/bin/activate && ./run_rl_swarm.sh

• It will ask some questions, you should send response properly
• Would you like to connect to the Testnet? [Y/n] : Write Y
• Would you like to push models you train in the RL swarm to the Hugging Face Hub? [y/N] : Write N
• When you will see interface like this, you can detach from this screen session

7. Detach from screen session

• Use Ctrl + A and then press D to detach from this screen session.